Alternatives to Lucebox
Compare Lucebox alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Lucebox in 2026. Compare features, ratings, user reviews, pricing, and more from Lucebox competitors and alternatives in order to make an informed decision for your business.
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RunPod
RunPod
RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. RunPod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure. -
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vLLM
vLLM
vLLM is a high-performance library designed to facilitate efficient inference and serving of Large Language Models (LLMs). Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry. It offers state-of-the-art serving throughput by efficiently managing attention key and value memory through its PagedAttention mechanism. It supports continuous batching of incoming requests and utilizes optimized CUDA kernels, including integration with FlashAttention and FlashInfer, to enhance model execution speed. Additionally, vLLM provides quantization support for GPTQ, AWQ, INT4, INT8, and FP8, as well as speculative decoding capabilities. Users benefit from seamless integration with popular Hugging Face models, support for various decoding algorithms such as parallel sampling and beam search, and compatibility with NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs, and more. -
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TensorWave
TensorWave
TensorWave is an AI and high-performance computing (HPC) cloud platform purpose-built for performance, powered exclusively by AMD Instinct Series GPUs. It delivers high-bandwidth, memory-optimized infrastructure that scales with your most demanding models, training, or inference. TensorWave offers access to AMD’s top-tier GPUs within seconds, including the MI300X and MI325X accelerators, which feature industry-leading memory capacity and bandwidth, with up to 256GB of HBM3E supporting 6.0TB/s. TensorWave's architecture includes UEC-ready capabilities that optimize the next generation of Ethernet for AI and HPC networking, and direct liquid cooling that delivers exceptional total cost of ownership with up to 51% data center energy cost savings. TensorWave provides high-speed network storage, ensuring game-changing performance, security, and scalability for AI pipelines. It offers plug-and-play compatibility with a wide range of tools and platforms, supporting models, libraries, etc. -
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The Network Convergence System (NCS) 6000 helps enable superior network agility, packet optical convergence, and petabits-per-second system scale. It facilitates the Cisco Evolved Programmable Network to support virtualization and programmability at low total cost of ownership and delivers high-bandwidth mobile, video, and cloud services to end users. Innovations include Cisco nPower X1 NPUs, hardware-enabled true zero-packet, zero-topology loss ISSU, capability to scale beyond 1 petabit in a multi-chassis configuration, enhanced operations support, and packet-optical integration. Use an adaptable power consumption model for both the ASIC and CMOS photonics technology for the lowest carbon footprint in service provider routing today. Easily adapt each line card's power consumption to the number of ports used.
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Cisco® 8000 Series routers complete this journey. They deliver provider-class routing functionality at unmatched density, performance, and power. This enables Cisco 8000 Series to be deployed into an unprecedented range of routing roles – all supported with a single ASIC architecture and operating system – thus streamlining qualification, deployment, and operations. The Cisco 8000 Series combines the revolutionary Cisco Silicon One™, IOS XR® software, and a set of clean sheet chassis to deliver a breakthrough in high-performance routers. The 8000 Series comprises a full range of feature-rich, highly scalable, deep-buffered, on-chip High Bandwidth Memory (HBM) and 400 Gigabit Ethernet (GbE)-optimized routers ranging from 10.8 to 25.6 Tbps in a 1 RU footprint. It is also available in an industry leading, rack-mountable modular system capable of 518.4 Tbps of full-duplex, line rate forwarding.
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Breakthrough performance and innovation for HPC and AI workloads. If you want to accelerate your HPC workloads, the Intel® Server D50DNP Family is the right platform for you. Powered by 4th Gen Intel® Xeon® Scalable processors or the Intel® Xeon® CPU Max Series, the Intel® Server D50DNP Family delivers exceptional compute performance, enhanced AI and in-memory analytics acceleration built into the processor, and increased I/O throughout versus previous generation servers. Delivers breakthrough memory bandwidth (1TB/sec) with on-chip, High Bandwidth Memory (HBM2e) for memory-intensive workloads. You can deploy and adapt the Intel® Server D50DNP Family to meet your ever-changing needs. Compute, management, and accelerator modules enable you to easily scale cluster resources to fit workload demands. Advanced, next-generation AI and in-memory analytics accelerators are built into the processor to speed up HPC workloads.
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AMAX ServMax
AMAX
4x dual 3rd generation Intel® Xeon® scalable family processor nodes. Up to 28 cores per processor, and up to 224 Processor Cores per 2U Chassis. 16x DIMM per node, Up to 1.5TB ECC Registered DDR4 2933/2666/2133 MHz memory. Enables deployment in data centers requiring liquid cooling. System-level power efficiency to optimize data center power usage effectiveness. ServMax® X-248L Series enables deployment in data centers requiring liquid cooling, delivering system-level power efficiency to optimize data center power usage effectiveness. It packs a tremendous amount of computing, storage, and networking capabilities into a compact 2U form factor. It comes with four Intel® DP Xeon® Scalable Family processor nodes, with up to 28 cores per processor and 224 processor cores per 2U chassis. It also supports 16x DIMM slots and 1x PCI-E expansion slot + 1x IO module per node. Cloud Computing, HPC, and Data Center deployment often scale up to thousands of systems. -
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Supermicro DCO
Supermicro
Data Center Optimized (DCO) is designed to align with complex requirements of floorspace and energy in order to achieve lower Total Cost of Ownership (TCO). Improved thermal architecture and high-efficiency power supplies for data center operation. Short-depth design for server deployments where space and power are at a premium. Up to 8 DIMM slots, up to 2TB DDR4 memory, Intel® Optane™ DC persistent memory. Dual Intel® Xeon® Scalable processors up to 140W TDP. Up to 8x 2.5" drives in 1U, or 4 x 3.5" drives in 1U. 1 PCI-E FHHL expansion slot. Power efficient components and high efficiency (up to 94% Platinum Level) power supplies allow higher operating temperatures. Many DCO servers are designed with less than 20" chassis depth for more deployment possibilities and better operational efficiency. Supermicro Ultra SuperServers are designed to deliver the highest performance, flexibility, scalability and serviceability to demanding IT environments. -
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PygmalionAI
PygmalionAI
PygmalionAI is a community dedicated to creating open-source projects based on EleutherAI's GPT-J 6B and Meta's LLaMA models. In simple terms, Pygmalion makes AI fine-tuned for chatting and roleplaying purposes. The current actively supported Pygmalion AI model is the 7B variant, based on Meta AI's LLaMA model. With only 18GB (or less) VRAM required, Pygmalion offers better chat capability than much larger language models with relatively minimal resources. Our curated dataset of high-quality roleplaying data ensures that your bot will be the optimal RP partner. Both the model weights and the code used to train it are completely open-source, and you can modify/re-distribute it for whatever purpose you want. Language models, including Pygmalion, generally run on GPUs since they need access to fast memory and massive processing power in order to output coherent text at an acceptable speed.Starting Price: Free -
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Supermicro CloudDC
Supermicro
All-in-one rackmount platform for cloud data centers. Compact 2U system that supports up to two double-width GPUs in a 25.5" chassis. 4-12 SATA/SAS drive bays with optional full NVMe support in select SKUs. 2 or 4 PCI-E x16 slots and dual AIOM (OCP 3.0 superset) slots for maximum data throughput. The secure root of trust, total memory encryption, and software guard extension. Toolless design for rapid deployment and easy maintenance. Up to 16 DIMM Slots, up to 4TB DDR5-4800 memory, and support for Intel® Optane™ persistent memory. Single/Dual 4th Gen Intel® Xeon® Scalable processors up to 350W TDP or Single AMD EPYC™ 9004 series processor up to 400W TDP. Up to 12 3.5" hot-swap NVMe/SATA/SAS drive bays; Optional RAID support via RAID AOC. Redundant 860W/1200W Titanium level (96%). Optimized for cloud data centers, our H12 CloudDC servers provide next-generation technology that can help you deliver cost-optimized services in an increasingly competitive economy. -
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LMCache
LMCache
LMCache is an open source Knowledge Delivery Network (KDN) designed as a caching layer for large language model serving that accelerates inference by reusing KV (key-value) caches across repeated or overlapping computations. It enables fast prompt caching, allowing LLMs to “prefill” recurring text only once and then reuse those stored KV caches, even in non-prefix positions, across multiple serving instances. This approach reduces time to first token, saves GPU cycles, and increases throughput in scenarios such as multi-round question answering or retrieval augmented generation. LMCache supports KV cache offloading (moving cache from GPU to CPU or disk), cache sharing across instances, and disaggregated prefill, which separates the prefill and decoding phases for resource efficiency. It is compatible with inference engines like vLLM and TGI and supports compressed storage, blending techniques to merge caches, and multiple backend storage options.Starting Price: Free -
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With powerful compute, built-in accelerators, and high-speed I/O and memory bandwidth, the Intel® Server System M50FCP Family is an ideal choice for your data-intensive mainstream workloads. The Intel® Server M50FCP Family has been validated and certified by industry-leading OEM partners like Nutanix Enterprise Cloud and Microsoft Azure Stack HCI—and made available as Intel® Data Center Systems. Intel® Data Center Systems greatly simplify and accelerate private and hybrid cloud infrastructure deployment and time to value, while reducing effort and risk. Data-intensive applications have rapidly moved from being niche to mainstream workloads. The Intel® Server M50FCP Family delivers the compute, memory, and I/O performance required from a mainstream server to get the most out of those workloads.
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Juniper CTP Series Routers
Juniper Networks
These platforms (designed for USA and Australian markets) give time-division multiplexing (TDM) and serial and analog circuit-based applications reliable and efficient access to next-generation IP networks with cost, redundancy, and efficiency advantages. The CTP2056 Circuit to Packet Platform bridges legacy and IP worlds for circuit-switched applications. Designed for U.S. and Australian markets, this 4 U rack-mountable chassis offers maximum flexibility with up to 56 circuit emulation interfaces. The CTP2024 Circuit to Packet Platform bridges legacy and IP worlds for circuit-switched applications. Designed for the U.S. and Australian markets, this 2 U rack-mountable chassis supports up to 24 circuit emulation interfaces and optional redundant power. The CTP2008 Circuit to Packet Platform bridges legacy and IP worlds for circuit-switched applications. This 1 U rack-mountable chassis supports up to eight software-configurable circuit emulation interfaces. -
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RUGGEDCOM Edge Routers
Siemens
RUGGEDCOM’s family of industrial Edge routers include the RUGGEDCOM RX1400 and the RUGGEDCOM RM1224, space-saving, small form-factor rugged devices that offer reliable, high-bandwidth WLAN or 4G LTE connectivity over short and long distances for remote networks in harsh environments. Designed for and put to the test under the harshest environments, RUGGEDCOM products meet and exceed recognized industry standards for performance in mission-critical applications. When it comes to RUGGEDCOM products, Siemens conducts Highly Accelerated Life Testing (HALT) in the early stages of product development to detect any design or performance issues as well as Highly Accelerated Stress Screening (HASS) later to ensure that customers get orders free of manufacturing errors and random defects. RUGGEDCOM products are thus able to provide reliable and error-free operation in harsh industrial environments. -
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Mu
Microsoft
Mu is a 330-million-parameter encoder–decoder language model designed to power the agent in Windows settings by mapping natural-language queries to Settings function calls, running fully on-device via NPUs at over 100 tokens per second while maintaining high accuracy. Drawing on Phi Silica optimizations, Mu’s encoder–decoder architecture reuses a fixed-length latent representation to cut computation and memory overhead, yielding 47 percent lower first-token latency and 4.7× higher decoding speed on Qualcomm Hexagon NPUs compared to similar decoder-only models. Hardware-aware tuning, including a 2/3–1/3 encoder–decoder parameter split, weight sharing between input and output embeddings, Dual LayerNorm, rotary positional embeddings, and grouped-query attention, enables fast inference at over 200 tokens per second on devices like Surface Laptop 7 and sub-500 ms response times for settings queries. -
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SiliconFlow
SiliconFlow
SiliconFlow is a high-performance, developer-focused AI infrastructure platform offering a unified and scalable solution for running, fine-tuning, and deploying both language and multimodal models. It provides fast, reliable inference across open source and commercial models, thanks to blazing speed, low latency, and high throughput, with flexible options such as serverless endpoints, dedicated compute, or private cloud deployments. Platform capabilities include one-stop inference, fine-tuning pipelines, and reserved GPU access, all delivered via an OpenAI-compatible API and complete with built-in observability, monitoring, and cost-efficient smart scaling. For diffusion-based tasks, SiliconFlow offers the open source OneDiff acceleration library, while its BizyAir runtime supports scalable multimodal workloads. Designed for enterprise-grade stability, it includes features like BYOC (Bring Your Own Cloud), robust security, and real-time metrics.Starting Price: $0.04 per image -
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Supermicro Mainstream
Supermicro
Highly versatile servers to enable a wide variety of enterprise server applications. Choices of multiple form factors including rackmount, short-depth rackmount and tower. A rich selection of storage options, AOCs, CPU TDP, and memory speed support. The mainstream application-optimized SuperServer® product family from Supermicro is a series of servers designed for entry-level or volume selections. Enterprise IT managers can choose the exact model for their applications, with a precise set of integrated features needed for their applications. The Mainstream product family provides the lowest entry point in terms of cost for an Intel® Xeon® based rackmount server. With the latest Intel® Xeon® E-2100 processor now offering up to 6 cores per server, with up to 128GB of DDR4 memory, and up to two M.2 NVMe/SATA3 slots there has never been so much value offered at 1U entry-level price points. Up to 16 DIMM Slots, up to 4TB DDR4-3200 memory, support for Intel® Optane™ persistent memory 200. -
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LFM2
Liquid AI
LFM2 is a next-generation series of on-device foundation models built to deliver the fastest generative-AI experience across a wide range of endpoints. It employs a new hybrid architecture that achieves up to 2x faster decode and prefill performance than comparable models, and up to 3x improvements in training efficiency compared to the previous generation. These models strike an optimal balance of quality, latency, and memory for deployment on embedded systems, allowing real-time, on-device AI across smartphones, laptops, vehicles, wearables, and other endpoints, enabling millisecond inference, device resilience, and full data sovereignty. Available in three dense checkpoints (0.35 B, 0.7 B, and 1.2 B parameters), LFM2 demonstrates benchmark performance that outperforms similarly sized models in tasks such as knowledge recall, mathematics, multilingual instruction-following, and conversational dialogue evaluations. -
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Trooper.AI
Trooper.AI
Trooper.AI lets you rent private, bare-metal GPU servers for AI training, inference, and experimentation — ready in minutes. Instantly deploy OpenWebUI, ComfyUI, Jupyter Notebook, Ubuntu Desktop, Ollama, and more with one click. No shared GPUs, no containers, full root access included. All servers are EU-hosted, GDPR and EU AI Act compliant, and operated from Germany. Trooper.AI is built on up-cycled high-end hardware, combining strong performance with sustainability. Pause or freeze servers anytime to save costs and pay only for what you use. Choose from a wide range of GPUs, from V100 and RTX 3090 to RTX 4090 and RTX Pro 6000 Blackwell, backed by fast NVMe storage, persistent machine state, automatic backups, and simple UI and API management. Trooper.AI is the smallest hyperscaler in Europe — built for developers who want performance, privacy, and full control without cloud complexity.Starting Price: €149/month -
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Oracle SPARC Servers
Oracle
Oracle SPARC servers deliver high performance, security, and uptime for customers’ database and Java workloads. Organizations lower the cost of modernizing UNIX infrastructure with scale-up and scale-out designs that include the Oracle Solaris operating system and virtualization software at no additional cost. Customers’ workloads run faster using the built-in acceleration of Oracle Database and Java, resulting in lower total cost of ownership (TCO). Silicon Secured Memory and end-to-end hardware data encryption secure customer data while maintaining excellent performance. Hardware optimizations for Oracle Database and Java, such as Data Analytics Acceleration, enable customers to run Oracle applications faster and more efficiently. -
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Juniper MX Series Routers
Juniper Networks
A robust portfolio of software-defined networking (SDN)-enabled routing platforms, the MX Series provides industry-leading system capacity, density, security, and performance with unparalleled longevity. MX Series routers are the key to digital transformation for service providers, cloud operators, and enterprises in the cloud era. The MX304 Universal Routing Platform delivers massive scale and efficiency for space- and power-constrained environments. It is a carrier-grade, multiservice platform with extensive automation capabilities enabling operators to meet constantly expanding bandwidth, subscriber, and service demands. The MX304 Universal Routing Platform delivers 4.8 Tbps of system capacity in a 2 RU unit and supports 96 x 10 or 25 GbE, 48 x 40, 50, or 100 GbE, or 12 x 400 GbE interfaces in a single chassis. The MX10004, MX10008, and MX10016 Universal Routing Platforms deliver unprecedented scale for service provider and cloud operators. -
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FauxPilot
FauxPilot
FauxPilot is an open source, self-hosted alternative to GitHub Copilot. It utilizes the SalesForce CodeGen models on NVIDIA's Triton Inference Server with the FasterTransformer backend for local code generation. It requires Docker, an NVIDIA GPU with sufficient VRAM, and the ability to split the model across multiple GPUs if needed. The setup involves downloading models from Hugging Face and converting them for FasterTransformer compatibility.Starting Price: Free -
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Llama Stack
Meta
Llama Stack is a modular framework designed to streamline the development of applications powered by Meta's Llama language models. It offers a client-server architecture with flexible configurations, allowing developers to mix and match various providers for components such as inference, memory, agents, telemetry, and evaluations. The framework includes pre-configured distributions tailored for different deployment scenarios, enabling seamless transitions from local development to production environments. Developers can interact with the Llama Stack server using client SDKs available in multiple programming languages, including Python, Node.js, Swift, and Kotlin. Comprehensive documentation and example applications are provided to assist users in building and deploying Llama-based applications efficiently.Starting Price: Free -
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LFM2.5
Liquid AI
Liquid AI’s LFM2.5 is the next generation of on-device AI foundation models designed to deliver high-performance, efficient AI inference on edge devices such as phones, laptops, vehicles, IoT systems, and embedded hardware without relying on cloud compute. It extends the previous LFM2 architecture by significantly increasing the pretraining scale and reinforcement learning stages, yielding a family of hybrid models around 1.2 billion parameters that balance instruction following, reasoning, and multimodal capabilities for real-world agentic use cases. The LFM2.5 family includes Base (for fine-tuning and customization), Instruct (general-purpose instruction-tuned), Japanese-optimized, Vision-Language, and Audio-Language variants, all optimized for fast, on-device inference under tight memory constraints and available as open-weight models deployable via frameworks like llama.cpp, MLX, vLLM, and ONNX.Starting Price: Free -
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Supermicro MicroCloud
Supermicro
3U systems supporting 24, 12 or 8 nodes with 4 DIMM slots. Hot-swappable 3.5” or 2.5” NVMe/SAS3/SATA3 options. Onboard 10 Gigabit Ethernet for optimized cost-effectiveness. The MicroCloud modular architecture provides the high density, serviceability, and cost-effectiveness required for today’s demanding hyper-scale deployments. The 24/12/8 modular server nodes are conveniently integrated into a compact 3U chassis that is less than 30 inches deep, saving over 76% of rack space when compared to traditional 1U servers. The MicroCloud family offers hyper scale data center optimized single socket computing solutions with the latest lower-power and high-density system-on-chip (SoC) processors, including Intel® Xeon® E/D/E3/E5 and Intel® Atom® C Processors to enable a wide range of flexible and scalable cloud and edge computing solutions. Power and I/O ports are located at the front of the chassis for rapid server provision, upgrades, and service. -
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Intel® Server Board S2600BPR-based systems are a purpose built, rack-optimized server board ideal for use in hyper-converged, data analytics, storage, cloud, and high performance computing (HPC) applications. Designed to support the 2nd Generation Intel® Xeon® processor Scalable family and up to 16 DDR4 DIMM slots per server board (eight DIMMs per processor), the S2600BPR family maximizes memory and processor bandwidth to meet demanding compute use requirements.
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Burncloud
Burncloud
Burncloud is a leading cloud computing service provider focused on delivering efficient, reliable, and secure GPU rental solutions for businesses. Our platform operates on a systemized model designed to meet the high-performance computing needs of various enterprises. Core Services Online GPU Rental Services: We offer a variety of GPU models for rent, including data center-grade devices and edge consumer-level computing equipment, to meet the diverse computational needs of businesses. Our best-selling products currently include: RTX 4070, RTX 3070 Ti, H100 PCIe, RTX 3090 Ti, RTX 3060, NVIDIA 4090, L40, RTX 3080 Ti, L40S, RTX 4090, RTX 3090, A10, H100 SXM, H100 NVL, A100 PCIe 80GB, and more. Compute Cluster Setup Services: Our technical team has extensive experience in IB networking technology and has successfully completed the setup of five 256-node clusters. For cluster setup services, please contact the customer service team on the Burncloud official website.Starting Price: $0.03/hour -
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WaveSpeedAI
WaveSpeedAI
WaveSpeedAI is a high-performance generative media platform built to dramatically accelerate image, video, and audio creation by combining cutting-edge multimodal models with an ultra-fast inference engine. It supports a wide array of creative workflows, from text-to-video and image-to-video to text-to-image, voice generation, and 3D asset creation, through a unified API designed for scale and speed. The platform integrates top-tier foundation models such as WAN 2.1/2.2, Seedream, FLUX, and HunyuanVideo, and provides streamlined access to a vast model library. Users benefit from blazing-fast generation times, real-time throughput, and enterprise-grade reliability while retaining high-quality output. WaveSpeedAI emphasises “fast, vast, efficient” performance; fast generation of creative assets, access to a wide-ranging set of state-of-the-art models, and cost-efficient execution without sacrificing quality. -
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Extraordinary performance, capacity and versatility, combined with four distinct, purpose-built modules for computing, management, storage, and acceleration, make the Intel® Server System D50TNP Family the easy server choice for your HPC and AI workloads. Compute performance is delivered by 3rd Gen Intel® Xeon® Scalable processors, with up to 40%1 higher performance than the previous generation. The new accelerator module supports up to four 300W PCIe accelerator cards. And the storage module provides high-speed storage with up to 1PB capacity in a single 2U chassis. Intel® Server System D50TNP Family combined with four distinct, purpose-built modules for computing, management, storage, and acceleration for your HPC and AI workloads. Deliver outstanding per-core performance, with up to 40 cores per processor. Delivers up to 40% higher performance (SPECrate2017_int_base) versus the previous generation.
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NVIDIA Llama Nemotron
NVIDIA
NVIDIA Llama Nemotron is a family of advanced language models optimized for reasoning and a diverse set of agentic AI tasks. These models excel in graduate-level scientific reasoning, advanced mathematics, coding, instruction following, and tool calls. Designed for deployment across various platforms, from data centers to PCs, they offer the flexibility to toggle reasoning capabilities on or off, reducing inference costs when deep reasoning isn't required. The Llama Nemotron family includes models tailored for different deployment needs. Built upon Llama models and enhanced by NVIDIA through post-training, these models demonstrate improved accuracy, up to 20% over base models, and optimized inference speeds, achieving up to five times the performance of other leading open reasoning models. This efficiency enables handling more complex reasoning tasks, enhances decision-making capabilities, and reduces operational costs for enterprises. -
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Thinkmate HDX High-Density Servers
Thinkmate
Thinkmate’s high-density, multi-node HDX servers are the ultimate solution for your enterprise data center. In today's fast-paced and data-driven world, having a reliable and efficient server infrastructure is crucial for success. Whether you're dealing with complex cloud computing, virtualization, or big data analytics, our servers provide the performance and scalability you need to keep pace with your growing business needs. With a focus on high-density design, these servers are equipped with multiple nodes in a single chassis, maximizing your data center space while still delivering top-notch performance. We use the latest technologies, including Intel Xeon Scalable and AMD EPYC processors to ensure that your server can handle even the most demanding applications. In addition to raw performance, we understand the importance of reliability and availability, which is why our servers are equipped with redundant power and network connections. -
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Phi-4-mini-flash-reasoning
Microsoft
Phi-4-mini-flash-reasoning is a 3.8 billion‑parameter open model in Microsoft’s Phi family, purpose‑built for edge, mobile, and other resource‑constrained environments where compute, memory, and latency are tightly limited. It introduces the SambaY decoder‑hybrid‑decoder architecture with Gated Memory Units (GMUs) interleaved alongside Mamba state‑space and sliding‑window attention layers, delivering up to 10× higher throughput and a 2–3× reduction in latency compared to its predecessor without sacrificing advanced math and logic reasoning performance. Supporting a 64 K‑token context length and fine‑tuned on high‑quality synthetic data, it excels at long‑context retrieval, reasoning tasks, and real‑time inference, all deployable on a single GPU. Phi-4-mini-flash-reasoning is available today via Azure AI Foundry, NVIDIA API Catalog, and Hugging Face, enabling developers to build fast, scalable, logic‑intensive applications. -
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GPT-5.6
OpenAI
GPT-5.6 is a rumored next-generation AI model expected to continue OpenAI’s GPT-5 series with stronger reasoning, coding, and autonomous workflow capabilities. While OpenAI has not officially announced GPT-5.6, leaks and industry speculation suggest the model may already be in internal testing following the release of GPT-5.5 in April 2026. Reports indicate that GPT-5.6 could focus heavily on advanced software engineering, long-context reasoning, and improved AI agent orchestration for enterprise and developer workflows. The model is also expected to enhance multimodal intelligence, allowing for better handling of text, images, documents, and computer-use tasks. Some rumors mention expanded context windows, faster inference modes, and more efficient token usage compared to previous GPT-5 models. As of now, GPT-5.5 remains OpenAI’s latest officially released flagship model, and GPT-5.6 has not been confirmed publicly by the company. -
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TradeView
VIZION
TradeView delivers comprehensive visibility into maritime handlers and traceability to evaluate performance, risk, and shipment history for 500 million suppliers and logistics providers. The platform can identify regulatory compliance and ESG concerns within the value chains of products and companies. Monitor the live flow of any company’s shipments 30-90 days before arrival at destination and analyze trends across 10 years of historical supplier, products, and logistics movement data. Search for products to discover upcoming, ongoing, and completed shipment volumes for up to the next 30-90 days, filtering by origin, destination, company, and industry. Analyze how much volume is being shipped from specific companies and received from various locations, with a breakdown of products transported by company and industry over time. Uncover a company’s upstream suppliers and downstream customers, assessing risks associated with their value chain. -
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kluster.ai
kluster.ai
Kluster.ai is a developer-centric AI cloud platform designed to deploy, scale, and fine-tune large language models (LLMs) with speed and efficiency. Built for developers by developers, it offers Adaptive Inference, a flexible and scalable service that adjusts seamlessly to workload demands, ensuring high-performance processing and consistent turnaround times. Adaptive Inference provides three distinct processing options: real-time inference for ultra-low latency needs, asynchronous inference for cost-effective handling of flexible timing tasks, and batch inference for efficient processing of high-volume, bulk tasks. It supports a range of open-weight, cutting-edge multimodal models for chat, vision, code, and more, including Meta's Llama 4 Maverick and Scout, Qwen3-235B-A22B, DeepSeek-R1, and Gemma 3 . Kluster.ai's OpenAI-compatible API allows developers to integrate these models into their applications seamlessly.Starting Price: $0.15per input -
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Adtran NetVanta 3000 Series
Adtran
Our NetVanta 3000 Series of fix-port access routers are perfect for carrier-bundled service offerings, and enterprise-class internet access for secure, high-speed corporate connectivity. There are two distinct platforms, the NetVanta 3140 and 3148. The NetVanta 3140 Series supports 100Mbit/s routing performance in a small form factor. The NetVanta 3148 Series supports up to 500Mbit/s routing performance and offers an additional GbE interface, two of which can be fiber-fed. It also features an 8-port Ethernet switch, which can be PoE enabled. Our NetVanta 3140 Series offers two distinct form factors: one is a plastic desktop chassis, while the other is a metal enclosure that can be easily rack mounted. Each device features three routed GbE interfaces and one USB interface for 3G/4G/5G access and supports 100Mbit/s routing performance. VPN and special voice monitoring services can also be added as an optional upgrade. -
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hAP ax³
MikroTik
hAP ax³ is our most powerful AX device with the best wireless network coverage so far. It features a modern quad-core ARM CPU running at 1.8 GHz and enough memory (1GB RAM + 128 MB NAND) for most tasks. Complex firewall rules, IPsec hardware encryption, Wireguard, BGP, advanced routing, or multiple remote work VPN tunnels won’t stop your family from comfortable browsing, streaming, gaming, and so on. There’s enough processing power for everyone. And we’ve added a speedy USB 3 port for all your storage purposes or an additional LTE modem. Depending on your overall setup, our AX product family offers up to 40% higher speed in the 5 GHz and up to 90% higher speed in the 2.4 GHz spectrum! Potent external antennas allow reaching gain up to 5.5 dBi, so you can forget about Wi-Fi Boosters and other tricks. Smooth and fast connectivity for your whole apartment – that’s just how hAP ax³ works. Home network speeds are getting serious.Starting Price: $139 one-time payment -
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HPE Moonshot
HPE
High-performance, energy-efficient, workload-optimized infrastructure that is ideal for virtualized desktop applications. Deliver secure desktops and virtual applications for trader workstations and environments across the banking industry using a converged blade system. Customers can now support employee growth and significantly improve productivity with industry-leading automation, security, and remote management capabilities that run on faster, energy-efficient systems and are delivered as-a-service. Moonshot is built on an energy-efficient system-on-chip design that optimizes performance for the most demanding financial services needs. Replace traditional general-purpose processors with highly efficient processors tailored to deliver virtual desktops and applications to your remote workforce. Super-fast Intel Xeon CPU, an integrated workstation GPU, and up to 128GB of high-speed memory result in 32% more Citrix XenApp users per server. -
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Supermicro Hyper
Supermicro
High-performance systems with rear I/O and front I/O configurations. Lightning-fast storage with latest-generation PCIe 5.0 NVMe SSDs. Networking flexibility with AIOM (OCP 3.0 compliant) NIC support. Ultimate performance and configurability for enterprise and Telco applications. Telco optimized configurations include short-depth, carrier-grade (NEBS Level 3) Hyper-E servers. Toolless design to simplify serviceability and lower maintenance time. Up to 32 DIMM Slots, up to 8TB DDR5-4800 memory, and support for Intel® Optane™ persistent memory. 2000W/1300W/1200W redundant Titanium level (96%). Dual 4th Gen Intel® Xeon® Scalable processors up to 350W TDP. Up to 24 2.5" hot-swap NVMe/SATA/SAS drive bays; Optional RAID support via AOC. -
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LTM-2-mini
Magic AI
LTM-2-mini is a 100M token context model: LTM-2-mini. 100M tokens equals ~10 million lines of code or ~750 novels. For each decoded token, LTM-2-mini’s sequence-dimension algorithm is roughly 1000x cheaper than the attention mechanism in Llama 3.1 405B1 for a 100M token context window. The contrast in memory requirements is even larger – running Llama 3.1 405B with a 100M token context requires 638 H100s per user just to store a single 100M token KV cache.2 In contrast, LTM requires a small fraction of a single H100’s HBM per user for the same context. -
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Mirai
Mirai
Mirai is a developer-focused on-device AI infrastructure platform designed to convert, optimize, and run machine learning models directly on Apple devices with high performance and privacy. It provides a unified pipeline that enables teams to convert and quantize models, benchmark them, distribute them, and execute inference locally. It is built specifically for Apple Silicon and aims to deliver near-zero latency, zero inference cost, and full data privacy by keeping sensitive processing on the user’s device. Through its SDK and inference engine, developers can integrate AI features into applications quickly, using hardware-aware optimizations that unlock the full power of the GPU and Neural Engine. Mirai also includes dynamic routing capabilities that automatically decide whether a request should run locally or in the cloud based on latency, privacy, or workload requirements. -
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Supermicro Ultra
Supermicro
Uncompromised 2-processor design for performance supporting the highest CPU TDPs. Best-in-class server features including all NVMe, hybrid storage, and low latency optimizations. Vast networking and expansion possibilities including Max/IO and Ultra Riser cards. 32 DIMM Slots, up to 8TB DDR4-3200 memory, or 12TB with 16x 256GB DRAM and 16x 512GB Intel® Optane™ persistent memory 200 series. Dual 3rd Gen Intel® Xeon® Scalable processors up to 270W TDP or dual 3rd Gen AMD EPYC™ processors. Up to 24x 2.5" hot-swap NVME/SATA/SAS drive bays; Up to 22x 2.5" NVMe hybrid; Optional RAID support. Up to 8 PCI-E 4.0 slots with flexible onboard 1/10/25G Ethernet options. Supermicro hyper-speed and hyper-turbo technologies are proprietary board-level optimizations for extremely low-latency performance. These technologies are made possible with the latest VRM components as well as optimized firmware to focus on flexible tuning. -
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GLM-4.5
Z.ai
GLM‑4.5 is Z.ai’s latest flagship model in the GLM family, engineered with 355 billion total parameters (32 billion active) and a companion GLM‑4.5‑Air variant (106 billion total, 12 billion active) to unify advanced reasoning, coding, and agentic capabilities in one architecture. It operates in a “thinking” mode for complex, multi‑step reasoning and tool use, and a “non‑thinking” mode for instant responses, supporting up to 128 K token context length and native function calling. Available via the Z.ai chat platform and API, with open weights on HuggingFace and ModelScope, GLM‑4.5 ingests diverse inputs to solve general problem‑solving, common‑sense reasoning, coding from scratch or within existing projects, and end‑to‑end agent workflows such as web browsing and slide generation. Built on a Mixture‑of‑Experts design with loss‑free balance routing, grouped‑query attention, and an MTP layer for speculative decoding, it delivers enterprise‑grade performance. -
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MiMo-V2-Flash
Xiaomi Technology
MiMo-V2-Flash is an open weight large language model developed by Xiaomi based on a Mixture-of-Experts (MoE) architecture that blends high performance with inference efficiency. It has 309 billion total parameters but activates only 15 billion active parameters per inference, letting it balance reasoning quality and computational efficiency while supporting extremely long context handling, for tasks like long-document understanding, code generation, and multi-step agent workflows. It incorporates a hybrid attention mechanism that interleaves sliding-window and global attention layers to reduce memory usage and maintain long-range comprehension, and it uses a Multi-Token Prediction (MTP) design that accelerates inference by processing batches of tokens in parallel. MiMo-V2-Flash delivers very fast generation speeds (up to ~150 tokens/second) and is optimized for agentic applications requiring sustained reasoning and multi-turn interactions.Starting Price: Free -
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Supermicro WIO
Supermicro
Best reconfigurability of storage and networking options for the perfect fit of custom applications. A range of form factors for more deployment possibilities with 1U, 2U and short-depth models. Supermicro WIO SuperServer® systems offer a wide range of I/O options to deliver truly optimized systems for specific requirements. Users can optimize the storage and networking alternatives to accelerate performance, increase efficiency and find the perfect fit for their applications. In addition to enabling customizable configurations and optimization for multiple application requirements, Supermicro WIO SuperServers also provide attractive cost advantages and investment protection. 8 DIMM slots, up to 2TB DDR5-4800 memory, support for Intel® Optane™ persistent memory. Single 4th Gen Intel® Xeon® Scalable processor up to 350W TDP or Single AMD EPYC™ 9004 series processor up to 400W TDP. 750W/650W/600W/500W Redundant Platinum (up to 94%). -
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GMI Cloud
GMI Cloud
GMI Cloud provides a complete platform for building scalable AI solutions with enterprise-grade GPU access and rapid model deployment. Its Inference Engine offers ultra-low-latency performance optimized for real-time AI predictions across a wide range of applications. Developers can deploy models in minutes without relying on DevOps, reducing friction in the development lifecycle. The platform also includes a Cluster Engine for streamlined container management, virtualization, and GPU orchestration. Users can access high-performance GPUs, InfiniBand networking, and secure, globally scalable infrastructure. Paired with popular open-source models like DeepSeek R1 and Llama 3.3, GMI Cloud delivers a powerful foundation for training, inference, and production AI workloads.Starting Price: $2.50 per hour -
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Chateau 5G ax
MikroTik
Mobile internet has never been faster. Generation 6 version of Chateau 5G. Much faster wireless, improved CPU, and now, with 2.5 Gigabit Ethernet! On the surface, the new Chateau is very similair to the previous models. With the Generation6 802.11ax wireless standard and Wave 2 support, Chateau 5G ax can deliver unprecedented speed. If we compare it to the previous generation, we’re looking at up to 40% higher speed in the 5 GHz and up to 90% higher speed in the 2.4 GHz spectrum! We’ve made massive improvements to the wireless radio and antennas. Chateau 5G ax supports MIMO 4x4 on 5G and LTE. There are 6 built-in LTE/5G antennas. One pair of external antennas provides even better wireless network coverage in the largest homes, and the other, improved LTE/5G connectivity. With speeds like that, the ports also had to rise to the occasion. We kept four Gigabit Ethernet ports and added a 2.5 Gigabit Ethernet port on top. And let’s not forget the USB which can be handy for storage purposes.Starting Price: $595 -
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RightAI
RightAI
RightAI is an all-in-one AI generation platform built for content creators, integrating the world's most advanced AI models. Whether you want to create eye-catching short videos, professional product images, or creative illustrations, RightAI delivers results in seconds. We eliminate the need to learn complex design software, empowering everyone to become a content creator.Our platform has three core competitive advantages:1. Top-Tier AI Model Integration- Sora 2: OpenAI's latest text-to-video model, creates cinematic videos up to 10 seconds at 1080p resolution- Nano Banana: Google Gemini AI-powered image generator, produces ultra-clear 4K resolution images in just 10 seconds- Seedream4: ByteDance's batch generator, creates up to 6 high-resolution images with image transformation capabilities2. Ultimate Ease of UseIntuitive interface requires only natural language descriptions. Image generation completes in 10-20 seconds, videos in 30-90 seconds. No professional skills required - beginStarting Price: Freemiun -
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HPE Apollo
HPE
Defined by data growth, converged workloads, and digital transformation, the exascale era marks the start of a new era of discovery that demands a new era of capabilities. New infrastructure needs to support a diversity of processor technologies and data-intensive workloads in the architecture to support the converged use of analytics, AI, and HPC to unlock the potential of your data and accelerate innovation. Now you can solve your most complex problems with affordable access to supercomputing with HPE Apollo systems. The HPE Apollo systems with rack-scale efficiency deliver just the right amount of performance and adaptability with flexible systems that are optimized for HPC and AI workloads. Keep pace with your growth and adapt to various workloads. HPE Apollo 2000 Gen10 Plus system provides a density-optimized system that can support up to four hot-plug servers in a 2U chassis. It delivers the flexibility to tailor the system to the precise needs of your demanding HPC workload. -
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Rackdog
Rackdog
Rackdog is a global bare metal server provider offering low-latency, high-bandwidth infrastructure solutions for demanding workloads. Across 12+ data center locations, Rackdog helps teams deploy, manage, and scale bare metal without friction, giving engineering teams high-performance hardware, fast provisioning, high-bandwidth connectivity, and predictable pricing.Starting Price: $80/month
