Alternatives to Verda
Compare Verda alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Verda in 2026. Compare features, ratings, user reviews, pricing, and more from Verda competitors and alternatives in order to make an informed decision for your business.
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Google Compute Engine
Google
Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines. Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications. Integrate Compute with other Google Cloud services such as AI/ML and data analytics. Make reservations to help ensure your applications have the capacity they need as they scale. Save money just for running Compute with sustained-use discounts, and achieve greater savings when you use committed-use discounts. -
2
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. -
3
CoreWeave
CoreWeave
CoreWeave is a cloud infrastructure provider specializing in GPU-based compute solutions tailored for AI workloads. The platform offers scalable, high-performance GPU clusters that optimize the training and inference of AI models, making it ideal for industries like machine learning, visual effects (VFX), and high-performance computing (HPC). CoreWeave provides flexible storage, networking, and managed services to support AI-driven businesses, with a focus on reliability, cost efficiency, and enterprise-grade security. The platform is used by AI labs, research organizations, and businesses to accelerate their AI innovations. -
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DigitalOcean
DigitalOcean
The simplest cloud platform for developers & teams. Deploy, manage, and scale cloud applications faster and more efficiently on DigitalOcean. DigitalOcean makes managing infrastructure easy for teams and businesses, whether you’re running one virtual machine or ten thousand. DigitalOcean App Platform: Build, deploy, and scale apps quickly using a simple, fully managed solution. We’ll handle the infrastructure, app runtimes and dependencies, so that you can push code to production in just a few clicks. Use a simple, intuitive, and visually rich experience to rapidly build, deploy, manage, and scale apps. Secure apps automatically. We create, manage and renew your SSL certificates and also protect your apps from DDoS attacks. Focus on what matters the most: building awesome apps. Let us handle provisioning and managing infrastructure, operating systems, databases, application runtimes, and other dependencies.Starting Price: $5 per month -
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Sesterce
Sesterce
Sesterce Cloud offers the seamless and simplest way to launch a GPU Cloud instance, in bare-metal or virtualized mode. Our platform is tailored to allow early-stage teams to collaborate, for training or deploying AI solutions through a large range of NVIDIA and AMD products and optimized pricing, in over 50 regions worldwide. We also offer packaged, turnkey AI solutions for companies that want to rapidly deploy tools to automate their processes, or develop new sources of growth. All with integrated customer support, 99.9% uptime, unlimited storage capacity.Starting Price: $0.30/GPU/hr -
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Parasail
Parasail
Parasail is an AI deployment network offering scalable, cost-efficient access to high-performance GPUs for AI workloads. It provides three primary services, serverless endpoints for real-time inference, Dedicated instances for private model deployments, and Batch processing for large-scale tasks. Users can deploy open source models like DeepSeek R1, LLaMA, and Qwen, or bring their own, with the platform's permutation engine matching workloads to optimal hardware, including NVIDIA's H100, H200, A100, and 4090 GPUs. Parasail emphasizes rapid deployment, with the ability to scale from a single GPU to clusters within minutes, and offers significant cost savings, claiming up to 30x cheaper compute compared to legacy cloud providers. It supports day-zero availability for new models and provides a self-service interface without long-term contracts or vendor lock-in.Starting Price: $0.80 per million tokens -
7
Lambda
Lambda
Lambda provides high-performance supercomputing infrastructure built specifically for training and deploying advanced AI systems at massive scale. Its Superintelligence Cloud integrates high-density power, liquid cooling, and state-of-the-art NVIDIA GPUs to deliver peak performance for demanding AI workloads. Teams can spin up individual GPU instances, deploy production-ready clusters, or operate full superclusters designed for secure, single-tenant use. Lambda’s architecture emphasizes security and reliability with shared-nothing designs, hardware-level isolation, and SOC 2 Type II compliance. Developers gain access to the world’s most advanced GPUs, including NVIDIA GB300 NVL72, HGX B300, HGX B200, and H200 systems. Whether testing prototypes or training frontier-scale models, Lambda offers the compute foundation required for superintelligence-level performance. -
8
IREN Cloud
IREN
IREN’s AI Cloud is a GPU-cloud platform built on NVIDIA reference architecture and non-blocking 3.2 TB/s InfiniBand networking, offering bare-metal GPU clusters designed for high-performance AI training and inference workloads. The service supports a range of NVIDIA GPU models with specifications such as large amounts of RAM, vCPUs, and NVMe storage. The cloud is fully integrated and vertically controlled by IREN, giving clients operational flexibility, reliability, and 24/7 in-house support. Users can monitor performance metrics, optimize GPU spend, and maintain secure, isolated environments with private networking and tenant separation. It allows deployment of users’ own data, models, frameworks (TensorFlow, PyTorch, JAX), and container technologies (Docker, Apptainer) with root access and no restrictions. It is optimized to scale for demanding applications, including fine-tuning large language models. -
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NVIDIA Confidential Computing secures data in use, protecting AI models and workloads as they execute, by leveraging hardware-based trusted execution environments built into NVIDIA Hopper and Blackwell architectures and supported platforms. It enables enterprises to deploy AI training and inference, whether on-premises, in the cloud, or at the edge, with no changes to model code, while ensuring the confidentiality and integrity of both data and models. Key features include zero-trust isolation of workloads from the host OS or hypervisor, device attestation to verify that only legitimate NVIDIA hardware is running the code, and full compatibility with shared or remote infrastructure for ISVs, enterprises, and multi-tenant environments. By safeguarding proprietary AI models, inputs, weights, and inference activities, NVIDIA Confidential Computing enables high-performance AI without compromising security or performance.
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10
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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Together AI
Together AI
Together AI provides an AI-native cloud platform built to accelerate training, fine-tuning, and inference on high-performance GPU clusters. Engineered for massive scale, the platform supports workloads that process trillions of tokens without performance drops. Together AI delivers industry-leading cost efficiency by optimizing hardware, scheduling, and inference techniques, lowering total cost of ownership for demanding AI workloads. With deep research expertise, the company brings cutting-edge models, hardware, and runtime innovations—like ATLAS runtime-learning accelerators—directly into production environments. Its full-stack ecosystem includes a model library, inference APIs, fine-tuning capabilities, pre-training support, and instant GPU clusters. Designed for AI-native teams, Together AI helps organizations build and deploy advanced applications faster and more affordably.Starting Price: $0.0001 per 1k tokens -
12
Hyperstack
Hyperstack Cloud
Hyperstack is the ultimate self-service, on-demand GPUaaS Platform offering the H100, A100, L40 and more, delivering its services to some of the most promising AI start-ups in the world. Hyperstack is built for enterprise-grade GPU-acceleration and optimised for AI workloads, offering NexGen Cloud’s enterprise-grade infrastructure to a wide spectrum of users, from SMEs to Blue-Chip corporations, Managed Service Providers, and tech enthusiasts. Running on 100% renewable energy and powered by NVIDIA architecture, Hyperstack offers its services at up to 75% more cost-effective than Legacy Cloud Providers. The platform supports a diverse range of high-intensity workloads, such as Generative AI, Large Language Modelling, machine learning, and rendering.Starting Price: $0.18 per GPU per hour -
13
Civo
Civo
Civo is a cloud-native platform designed to simplify cloud computing for developers and businesses, offering fast, predictable, and scalable infrastructure. It provides managed Kubernetes clusters with industry-leading launch times of around 90 seconds, enabling users to deploy and scale applications efficiently. Civo’s offering includes enterprise-class compute instances, managed databases, object storage, load balancers, and cloud GPUs powered by NVIDIA A100 for AI and machine learning workloads. Their billing model is transparent and usage-based, allowing customers to pay only for the resources they consume with no hidden fees. Civo also emphasizes sustainability with carbon-neutral GPU options. The platform is trusted by industry-leading companies and offers a robust developer experience through easy-to-use dashboards, APIs, and educational resources.Starting Price: $250 per month -
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Mistral Compute
Mistral
Mistral Compute is a purpose-built AI infrastructure platform that delivers a private, integrated stack, GPUs, orchestration, APIs, products, and services, in any form factor, from bare-metal servers to fully managed PaaS. Designed to democratize frontier AI beyond a handful of providers, it empowers sovereigns, enterprises, and research institutions to architect, own, and optimize their entire AI environment, training, and serving any workload on tens of thousands of NVIDIA-powered GPUs using reference architectures managed by experts in high-performance computing. With support for region- and domain-specific efforts, defense technology, pharmaceutical discovery, financial markets, and more, it offers four years of operational lessons, built-in sustainability through decarbonized energy, and full compliance with stringent European data-sovereignty regulations. -
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Nscale
Nscale
Nscale is the Hyperscaler engineered for AI, offering high-performance computing optimized for training, fine-tuning, and intensive workloads. From our data centers to our software stack, we are vertically integrated in Europe to provide unparalleled performance, efficiency, and sustainability. Access thousands of GPUs tailored to your requirements using our AI cloud platform. Reduce costs, grow revenue, and run your AI workloads more efficiently on a fully integrated platform. Whether you're using Nscale's built-in AI/ML tools or your own, our platform is designed to simplify the journey from development to production. The Nscale Marketplace offers users access to various AI/ML tools and resources, enabling efficient and scalable model development and deployment. Serverless allows seamless, scalable AI inference without the need to manage infrastructure. It automatically scales to meet demand, ensuring low latency and cost-effective inference for popular generative AI models. -
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NVIDIA DGX Cloud
NVIDIA
NVIDIA DGX Cloud offers a fully managed, end-to-end AI platform that leverages the power of NVIDIA’s advanced hardware and cloud computing services. This platform allows businesses and organizations to scale AI workloads seamlessly, providing tools for machine learning, deep learning, and high-performance computing (HPC). DGX Cloud integrates seamlessly with leading cloud providers, delivering the performance and flexibility required to handle the most demanding AI applications. This service is ideal for businesses looking to enhance their AI capabilities without the need to manage physical infrastructure. -
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Thunder Compute
Thunder Compute
Thunder Compute is a cloud platform that virtualizes GPUs over TCP, allowing developers to scale from CPU-only machines to GPU clusters with a single command. By tricking computers into thinking they're directly attached to GPUs located elsewhere, Thunder Compute enables CPU-only machines to behave as if they have dedicated GPUs, while the physical GPUs are actually shared among several machines. This approach improves GPU utilization and reduces costs by allowing multiple workloads to run on a single GPU with dynamic memory sharing. Developers can start by building and debugging on a CPU-only machine and then scale to a massive GPU cluster with just one command, eliminating the need for extensive configuration and reducing the costs associated with paying for idle compute resources during development. Thunder Compute offers on-demand access to GPUs like NVIDIA T4, A100 40GB, and A100 80GB, with competitive rates and high-speed networking.Starting Price: $0.27 per hour -
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NetMind AI
NetMind AI
NetMind.AI is a decentralized computing platform and AI ecosystem designed to accelerate global AI innovation. By leveraging idle GPU resources worldwide, it offers accessible and affordable AI computing power to individuals, businesses, and organizations of all sizes. The platform provides a range of services, including GPU rental, serverless inference, and an AI ecosystem that encompasses data processing, model training, inference, and agent development. Users can rent GPUs at competitive prices, deploy models effortlessly with on-demand serverless inference, and access a wide array of open-source AI model APIs with high-throughput, low-latency performance. NetMind.AI also enables contributors to add their idle GPUs to the network, earning NetMind Tokens (NMT) as rewards. These tokens facilitate transactions on the platform, allowing users to pay for services such as training, fine-tuning, inference, and GPU rentals. -
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WhiteFiber
WhiteFiber
WhiteFiber is a vertically integrated AI infrastructure platform offering high-performance GPU cloud and HPC colocation solutions tailored for AI/ML workloads. Its cloud platform is purpose-built for machine learning, large language models, and deep learning, featuring NVIDIA H200, B200, and GB200 GPUs, ultra-fast Ethernet and InfiniBand networking, and up to 3.2 Tb/s GPU fabric bandwidth. WhiteFiber's infrastructure supports seamless scaling from hundreds to tens of thousands of GPUs, with flexible deployment options including bare metal, containers, and virtualized environments. It ensures enterprise-grade support and SLAs, with proprietary cluster management, orchestration, and observability software. WhiteFiber's data centers provide AI and HPC-optimized colocation with high-density power, direct liquid cooling, and accelerated deployment timelines, along with cross-data center dark fiber connectivity for redundancy and scale. -
20
NeevCloud
NeevCloud
NeevCloud delivers cutting-edge GPU cloud solutions powered by NVIDIA GPUs like the H200, H100, GB200 NVL72, and many more offering unmatched performance for AI, HPC, and data-intensive workloads. Scale dynamically with flexible pricing and energy-efficient GPUs that reduce costs while maximizing output. Ideal for AI model training, scientific research, media production, and real-time analytics, NeevCloud ensures seamless integration and global accessibility. Experience unparalleled speed, scalability, and sustainability with NeevCloud GPU cloud solutions.Starting Price: $1.69/GPU/hour -
21
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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Skyportal
Skyportal
Skyportal is a GPU cloud platform built for AI engineers, offering 50% less cloud costs and 100% GPU performance. It provides a cost-effective GPU infrastructure for machine learning workloads, eliminating unpredictable cloud bills and hidden fees. Skyportal has seamlessly integrated Kubernetes, Slurm, PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA Drivers, fully optimized for Ubuntu 22.04 LTS and 24.04 LTS, allowing users to focus on innovating and scaling with ease. It offers high-performance NVIDIA H100 and H200 GPUs optimized specifically for ML/AI workloads, with instant scalability and 24/7 expert support from a team that understands ML workflows and optimization. Skyportal's transparent pricing and zero egress fees provide predictable costs for AI infrastructure. Users can share their AI/ML project requirements and goals, deploy models within the infrastructure using familiar tools and frameworks, and scale their infrastructure as needed.Starting Price: $2.40 per hour -
23
Google Cloud GPUs
Google
Speed up compute jobs like machine learning and HPC. A wide selection of GPUs to match a range of performance and price points. Flexible pricing and machine customizations to optimize your workload. High-performance GPUs on Google Cloud for machine learning, scientific computing, and 3D visualization. NVIDIA K80, P100, P4, T4, V100, and A100 GPUs provide a range of compute options to cover your workload for each cost and performance need. Optimally balance the processor, memory, high-performance disk, and up to 8 GPUs per instance for your individual workload. All with the per-second billing, so you only pay only for what you need while you are using it. Run GPU workloads on Google Cloud Platform where you have access to industry-leading storage, networking, and data analytics technologies. Compute Engine provides GPUs that you can add to your virtual machine instances. Learn what you can do with GPUs and what types of GPU hardware are available.Starting Price: $0.160 per GPU -
24
Ori GPU Cloud
Ori
Launch GPU-accelerated instances highly configurable to your AI workload & budget. Reserve thousands of GPUs in a next-gen AI data center for training and inference at scale. The AI world is shifting to GPU clouds for building and launching groundbreaking models without the pain of managing infrastructure and scarcity of resources. AI-centric cloud providers outpace traditional hyperscalers on availability, compute costs and scaling GPU utilization to fit complex AI workloads. Ori houses a large pool of various GPU types tailored for different processing needs. This ensures a higher concentration of more powerful GPUs readily available for allocation compared to general-purpose clouds. Ori is able to offer more competitive pricing year-on-year, across on-demand instances or dedicated servers. When compared to per-hour or per-usage pricing of legacy clouds, our GPU compute costs are unequivocally cheaper to run large-scale AI workloads.Starting Price: $3.24 per month -
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Baseten
Baseten
Baseten is a high-performance platform designed for mission-critical AI inference workloads. It supports serving open-source, custom, and fine-tuned AI models on infrastructure built specifically for production scale. Users can deploy models on Baseten’s cloud, their own cloud, or in a hybrid setup, ensuring flexibility and scalability. The platform offers inference-optimized infrastructure that enables fast training and seamless developer workflows. Baseten also provides specialized performance optimizations tailored for generative AI applications such as image generation, transcription, text-to-speech, and large language models. With 99.99% uptime, low latency, and support from forward deployed engineers, Baseten aims to help teams bring AI products to market quickly and reliably.Starting Price: Free -
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Phala
Phala
Phala is a hardware-secured cloud platform designed to help organizations deploy confidential AI with verifiable trust and enterprise-grade privacy. Using Trusted Execution Environments (TEEs), Phala ensures that AI models, data, and computations run inside fully isolated, encrypted environments that even cloud providers cannot access. The platform includes pre-configured confidential AI models, confidential VMs, and GPU TEE support for NVIDIA H100, H200, and B200 hardware, delivering near-native performance with complete privacy. With Phala Cloud, developers can build, containerize, and deploy encrypted AI applications in minutes while relying on automated attestations and strong compliance guarantees. Phala powers sensitive workloads across finance, healthcare, AI SaaS, decentralized AI, and other privacy-critical industries. Trusted by thousands of developers and enterprise customers, Phala enables businesses to build AI that users can trust.Starting Price: $50.37/month -
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Voltage Park
Voltage Park
Voltage Park is a next-generation GPU cloud infrastructure provider, offering on-demand and reserved access to NVIDIA HGX H100 GPUs housed in Dell PowerEdge XE9680 servers, each equipped with 1TB of RAM and v52 CPUs. Their six Tier 3+ data centers across the U.S. ensure high availability and reliability, featuring redundant power, cooling, network, fire suppression, and security systems. A state-of-the-art 3200 Gbps InfiniBand network facilitates high-speed communication and low latency between GPUs and workloads. Voltage Park emphasizes uncompromising security and compliance, utilizing Palo Alto firewalls and rigorous protocols, including encryption, access controls, monitoring, disaster recovery planning, penetration testing, and regular audits. With a massive inventory of 24,000 NVIDIA H100 Tensor Core GPUs, Voltage Park enables scalable compute access ranging from 64 to 8,176 GPUs.Starting Price: $1.99 per hour -
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Compute with Hivenet
Hivenet
Compute with Hivenet is the world's first truly distributed cloud computing platform, providing reliable and affordable on-demand computing power from a certified network of contributors. Designed for AI model training, inference, and other compute-intensive tasks, it provides secure, scalable, and on-demand GPU resources at up to 70% cost savings compared to traditional cloud providers. Powered by RTX 4090 GPUs, Compute rivals top-tier platforms, offering affordable, transparent pricing with no hidden fees. Compute is part of the Hivenet ecosystem, a comprehensive suite of distributed cloud solutions that prioritizes sustainability, security, and affordability. Through Hivenet, users can leverage their underutilized hardware to contribute to a powerful, distributed cloud infrastructure.Starting Price: $0.10/hour -
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Crusoe
Crusoe
Crusoe provides a cloud infrastructure specifically designed for AI workloads, featuring state-of-the-art GPU technology and enterprise-grade data centers. The platform offers AI-optimized computing, featuring high-density racks and direct liquid-to-chip cooling for superior performance. Crusoe’s system ensures reliable and scalable AI solutions with automated node swapping, advanced monitoring, and a customer success team that supports businesses in deploying production AI workloads. Additionally, Crusoe prioritizes sustainability by sourcing clean, renewable energy, providing cost-effective services at competitive rates. -
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Intel Tiber AI Cloud
Intel
Intel® Tiber™ AI Cloud is a powerful platform designed to scale AI workloads with advanced computing resources. It offers specialized AI processors, such as the Intel Gaudi AI Processor and Max Series GPUs, to accelerate model training, inference, and deployment. Optimized for enterprise-level AI use cases, this cloud solution enables developers to build and fine-tune models with support for popular libraries like PyTorch. With flexible deployment options, secure private cloud solutions, and expert support, Intel Tiber™ ensures seamless integration, fast deployment, and enhanced model performance.Starting Price: Free -
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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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HorizonIQ
HorizonIQ
HorizonIQ is a comprehensive IT infrastructure provider offering managed private cloud, bare metal servers, GPU clusters, and hybrid cloud solutions designed for performance, security, and cost efficiency. Our managed private cloud services, powered by Proxmox VE or VMware, deliver dedicated virtualized environments ideal for AI workloads, general computing, and enterprise applications. HorizonIQ's hybrid cloud solutions enable seamless integration between private infrastructure and over 280 public cloud providers, facilitating real-time scalability and cost optimization. Our packages offer all-in-one solutions combining compute, network, storage, and security, tailored for various workloads from web applications to high-performance computing. With a focus on single-tenant environments, HorizonIQ ensures compliance with standards like HIPAA, SOC 2, and PCI DSS, while providing 1a 00% uptime SLA and proactive management through their Compass portal. -
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CUDO Compute
CUDO Compute
CUDO Compute is a high-performance GPU cloud platform built for AI workloads, offering on-demand and reserved clusters designed to scale. Users can deploy powerful GPUs for demanding AI tasks, choosing from a global pool of high-performance GPUs such as NVIDIA H100 SXM, H100 PCIe, HGX B200, GB200 NVL72, A800 PCIe, H200 SXM, B100, A40, L40S, A100 PCIe, V100, RTX 4000 SFF Ada, RTX A4000, RTX A5000, RTX A6000, and AMD MI250/300. It allows spinning up instances in seconds, providing full control to run AI workloads with speed and flexibility to scale globally while meeting compliance requirements. CUDO Compute offers flexible virtual machines for agile workloads, ideal for development, testing, and lightweight production, featuring minute-based billing, high-speed NVMe storage, and full configurability. For teams requiring direct hardware access, dedicated bare metal servers deliver maximum performance without virtualization.Starting Price: $1.73 per hour -
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fal
fal.ai
fal is a serverless Python runtime that lets you scale your code in the cloud with no infra management. Build real-time AI applications with lightning-fast inference (under ~120ms). Check out some of the ready-to-use models, they have simple API endpoints ready for you to start your own AI-powered applications. Ship custom model endpoints with fine-grained control over idle timeout, max concurrency, and autoscaling. Use common models such as Stable Diffusion, Background Removal, ControlNet, and more as APIs. These models are kept warm for free. (Don't pay for cold starts) Join the discussion around our product and help shape the future of AI. Automatically scale up to hundreds of GPUs and scale down back to 0 GPUs when idle. Pay by the second only when your code is running. You can start using fal on any Python project by just importing fal and wrapping existing functions with the decorator.Starting Price: $0.00111 per second -
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FluidStack
FluidStack
Unlock 3-5x better prices than traditional clouds. FluidStack aggregates under-utilized GPUs from data centers around the world to deliver the industry’s best economics. Deploy 50,000+ high-performance servers in seconds via a single platform and API. Access large-scale A100 and H100 clusters with InfiniBand in days. Train, fine-tune, and deploy LLMs on thousands of affordable GPUs in minutes with FluidStack. FluidStack unites individual data centers to overcome monopolistic GPU cloud pricing. Compute 5x faster while making the cloud efficient. Instantly access 47,000+ unused servers with tier 4 uptime and security from one simple interface. Train larger models, deploy Kubernetes clusters, render quicker, and stream with no latency. Setup in one click with custom images and APIs to deploy in seconds. 24/7 direct support via Slack, emails, or calls, our engineers are an extension of your team.Starting Price: $1.49 per month -
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Massed Compute
Massed Compute
Massed Compute offers high-performance GPU computing solutions tailored for AI, machine learning, scientific simulations, and data analytics. As an NVIDIA Preferred Partner, it provides access to a comprehensive catalog of enterprise-grade NVIDIA GPUs, including A100, H100, L40, and A6000, ensuring optimal performance for various workloads. Users can choose between bare metal servers for maximum control and performance or on-demand compute instances for flexibility and scalability. Massed Compute's Inventory API allows seamless integration of GPU resources into existing business platforms, enabling provisioning, rebooting, and management of instances with ease. Massed Compute's infrastructure is housed in Tier III data centers, offering consistent uptime, advanced redundancy, and efficient cooling systems. With SOC 2 Type II compliance, the platform ensures high standards of security and data protection.Starting Price: $21.60 per hour -
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E2E Cloud
E2E Networks
E2E Cloud provides advanced cloud solutions tailored for AI and machine learning workloads. We offer access to cutting-edge NVIDIA GPUs, including H200, H100, A100, L40S, and L4, enabling businesses to efficiently run AI/ML applications. Our services encompass GPU-intensive cloud computing, AI/ML platforms like TIR built on Jupyter Notebook, Linux and Windows cloud solutions, storage cloud with automated backups, and cloud solutions with pre-installed frameworks. E2E Networks emphasizes a high-value, top-performance infrastructure, boasting a 90% cost reduction in monthly cloud bills for clients. Our multi-region cloud is designed for performance, reliability, resilience, and security, serving over 15,000 clients. Additional features include block storage, load balancers, object storage, one-click deployment, database-as-a-service, API & CLI access, and a content delivery network.Starting Price: $0.012 per hour -
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Nebius
Nebius
Training-ready platform with NVIDIA® H100 Tensor Core GPUs. Competitive pricing. Dedicated support. Built for large-scale ML workloads: Get the most out of multihost training on thousands of H100 GPUs of full mesh connection with latest InfiniBand network up to 3.2Tb/s per host. Best value for money: Save at least 50% on your GPU compute compared to major public cloud providers*. Save even more with reserves and volumes of GPUs. Onboarding assistance: We guarantee a dedicated engineer support to ensure seamless platform adoption. Get your infrastructure optimized and k8s deployed. Fully managed Kubernetes: Simplify the deployment, scaling and management of ML frameworks on Kubernetes and use Managed Kubernetes for multi-node GPU training. Marketplace with ML frameworks: Explore our Marketplace with its ML-focused libraries, applications, frameworks and tools to streamline your model training. Easy to use. We provide all our new users with a 1-month trial period.Starting Price: $2.66/hour -
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NVIDIA Run:ai
NVIDIA
NVIDIA Run:ai is an enterprise platform designed to optimize AI workloads and orchestrate GPU resources efficiently. It dynamically allocates and manages GPU compute across hybrid, multi-cloud, and on-premises environments, maximizing utilization and scaling AI training and inference. The platform offers centralized AI infrastructure management, enabling seamless resource pooling and workload distribution. Built with an API-first approach, Run:ai integrates with major AI frameworks and machine learning tools to support flexible deployment anywhere. It also features a powerful policy engine for strategic resource governance, reducing manual intervention. With proven results like 10x GPU availability and 5x utilization, NVIDIA Run:ai accelerates AI development cycles and boosts ROI. -
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Foundry
Foundry
Foundry is a new breed of public cloud, powered by an orchestration platform that makes accessing AI compute as easy as flipping a light switch. Explore the high-impact features of our GPU cloud services designed for maximum performance and reliability. Whether you’re managing training runs, serving clients, or meeting research deadlines. Industry giants have invested for years in infra teams that build sophisticated cluster management and workload orchestration tools to abstract away the hardware. Foundry makes this accessible to everyone else, ensuring that users can reap compute leverage without a twenty-person team at scale. The current GPU ecosystem is first-come, first-serve, and fixed-price. Availability is a challenge in peak times, and so are the puzzling gaps in rates across vendors. Foundry is powered by a sophisticated mechanism design that delivers better price performance than anyone on the market. -
41
Aqaba.ai
Aqaba.ai
Aqaba.ai is a cloud GPU platform that gives AI developers instant access to high-performance computing power without the typical barriers of cost, availability, or environmental guilt. We provide dedicated H100s, A100s, and RTX GPUs that launch in seconds, not hours, with simple hourly pricing and no hidden fees. Unlike traditional cloud providers where you're stuck in waitlists or sharing resources with other users, every GPU instance on Aqaba.ai is exclusively yours, ensuring predictable performance for training everything from computer vision models to large language models.Starting Price: $0.39/hour -
42
Vast.ai
Vast.ai
Vast.ai is the market leader in low-cost cloud GPU rental. Use one simple interface to save 5-6X on GPU compute. Use on-demand rentals for convenience and consistent pricing. Or save a further 50% or more with interruptible instances using spot auction based pricing. Vast has an array of providers that offer different levels of security: from hobbyists up to Tier-4 data centers. Vast.ai helps you find the best pricing for the level of security and reliability you need. Use our command line interface to search the entire marketplace for offers while utilizing scriptable filters and sort options. Launch instances quickly right from the CLI and easily automate your deployment. Save an additional 50% or more by using interruptible instances and auction pricing. The highest bidding instances run; other conflicting instances are stopped.Starting Price: $0.20 per hour -
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Coreshub
Coreshub
Coreshub provides GPU cloud services, AI training clusters, parallel file storage, and image repositories, delivering secure, reliable, and high-performance cloud-based AI training and inference environments. The platform offers a range of solutions, including computing power market, model inference, and various industry-specific applications. Coreshub's core team comprises experts from Tsinghua University, leading AI companies, IBM, renowned venture capital firms, and major internet corporations, bringing extensive AI technical expertise and ecosystem resources. The platform emphasizes an independent and open cooperative ecosystem, actively collaborating with AI model suppliers and hardware manufacturers. Coreshub's AI computing platform enables unified scheduling and intelligent management of diverse heterogeneous computing power, meeting AI computing operation, maintenance, and management needs in a one-stop manner.Starting Price: $0.24 per hour -
44
NVIDIA Picasso
NVIDIA
NVIDIA Picasso is a cloud service for building generative AI–powered visual applications. Enterprises, software creators, and service providers can run inference on their models, train NVIDIA Edify foundation models on proprietary data, or start from pre-trained models to generate image, video, and 3D content from text prompts. Picasso service is fully optimized for GPUs and streamlines training, optimization, and inference on NVIDIA DGX Cloud. Organizations and developers can train NVIDIA’s Edify models on their proprietary data or get started with models pre-trained with our premier partners. Expert denoising network to generate photorealistic 4K images. Temporal layers and novel video denoiser generate high-fidelity videos with temporal consistency. A novel optimization framework for generating 3D objects and meshes with high-quality geometry. Cloud service for building and deploying generative AI-powered image, video, and 3D applications. -
45
Green AI Cloud
Green AI Cloud
Green AI Cloud is the fastest and most sustainable supercompute AI cloud service, offering the latest AI accelerators from NVIDIA, Intel, and Cerebras Systems. We strive to match your specific AI compute needs with the optimal compute solution. Thanks to renewable energy sources and ingenious technology that takes advantage of the heat generated, we are excited to offer you a CO₂-negative AI cloud service. We offer the lowest rates on the market, with no transfer costs and no extra hidden fees, providing fully transparent and predictable monthly pricing. Our AI accelerator hardware includes NVIDIA B200 (192GB), H200 (141GB), H100 (80GB), and A100 (80GB), interconnected with 3,200 Gbps InfiniBand for minimal latency and high security. Green AI Cloud integrates technology and sustainability into a unified ecosystem, saving approximately 8–10 tons of CO₂ emissions for every AI model processed in our cloud service. -
46
NVIDIA GPU-Optimized AMI
Amazon
The NVIDIA GPU-Optimized AMI is a virtual machine image for accelerating your GPU accelerated Machine Learning, Deep Learning, Data Science and HPC workloads. Using this AMI, you can spin up a GPU-accelerated EC2 VM instance in minutes with a pre-installed Ubuntu OS, GPU driver, Docker and NVIDIA container toolkit. This AMI provides easy access to NVIDIA's NGC Catalog, a hub for GPU-optimized software, for pulling & running performance-tuned, tested, and NVIDIA certified docker containers. The NGC catalog provides free access to containerized AI, Data Science, and HPC applications, pre-trained models, AI SDKs and other resources to enable data scientists, developers, and researchers to focus on building and deploying solutions. This GPU-optimized AMI is free with an option to purchase enterprise support offered through NVIDIA AI Enterprise. For how to get support for this AMI, scroll down to 'Support Information'Starting Price: $3.06 per hour -
47
Medjed AI
Medjed AI
Medjed AI is a next-generation GPU cloud computing platform designed to meet the growing demands of AI developers and enterprises. It provides scalable, high-performance GPU resources optimized for AI training, inference, and other compute-intensive workloads. With flexible deployment options, seamless integration, and cutting-edge hardware, Medjed AI enables organizations to accelerate AI development, reduce time-to-insight, and handle workloads of any scale with efficiency and reliability.Starting Price: $2.39/hour -
48
NVIDIA DGX Cloud Lepton
NVIDIA
NVIDIA DGX Cloud Lepton is an AI platform that connects developers to a global network of GPU compute across multiple cloud providers through a single platform. It offers a unified experience to discover and utilize GPU resources, along with integrated AI services to streamline the deployment lifecycle across multiple clouds. Developers can start building with instant access to NVIDIA’s accelerated APIs, including serverless endpoints, prebuilt NVIDIA Blueprints, and GPU-backed compute. When it’s time to scale, DGX Cloud Lepton powers seamless customization and deployment across a global network of GPU cloud providers. It enables frictionless deployment across any GPU cloud, allowing AI applications to be deployed across multi-cloud and hybrid environments with minimal operational burden, leveraging integrated services for inference, testing, and training workloads. -
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Runyour AI
Runyour AI
From renting machines for AI research to specialized templates and servers, Runyour AI provides the optimal environment for artificial intelligence research. Runyour AI is an AI cloud service that provides easy access to GPU resources and research environments for artificial intelligence research. You can rent various high-performance GPU machines and environments at a reasonable price. Additionally, you can register your own GPUs to generate revenue. Transparent billing policy where you pay for charging points used through minute-by-minute real-time monitoring. From casual hobbyists to seasoned researchers, we provide specialized GPUs for AI projects, catering to a range of needs. An AI project environment that is easy and convenient for even first-time users. By utilizing Runyour AI's GPU machines, you can kickstart your AI research with minimal setup. Designed for quick access to GPUs, it provides a seamless research environment for machine learning and AI development. -
50
SF Compute
SF Compute
SF Compute is a marketplace platform that offers on-demand access to large-scale GPU clusters, letting users rent powerful compute resources by the hour, not requiring long-term contracts or heavy upfront commitments. You can choose between virtual machine nodes or Kubernetes clusters (with InfiniBand support for high-speed interconnects), and specify the number of GPUs, duration, and start time as needed. It supports flexible “buy blocks” of compute; for example, you might request 256 NVIDIA H100 GPUs for three days at a capped hourly rate, or scale down/up dynamically depending on budget. For Kubernetes clusters, spin-up times are fast (about 0.5 seconds); VMs take around 5 minutes. Storage is robust, including 1.5+ TB NVMe and 1 TB + RAM, and there are no data transfer (ingress/egress) fees, so you don’t pay to move data. SF Compute’s architecture abstracts physical infrastructure behind a real-time spot-market and dynamic scheduler.Starting Price: $1.48 per hour
