Alternatives to gpu.nz
Compare gpu.nz alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to gpu.nz in 2026. Compare features, ratings, user reviews, pricing, and more from gpu.nz competitors and alternatives in order to make an informed decision for your business.
-
1
IONOS Cloud GPU Servers
IONOS
IONOS GPU Servers provide an accelerated computing infrastructure designed to handle workloads that require significantly more processing power than traditional CPU-based systems. It integrates enterprise-grade NVIDIA GPUs such as the H100, H200, and L40s, as well as specialized AI accelerators like Intel Gaudi, enabling massive parallel processing for compute-intensive applications. GPU-accelerated instances extend cloud infrastructure with dedicated graphics processors so virtual machines can perform complex calculations and data-heavy operations much faster than conventional servers. It is particularly suitable for artificial intelligence, deep learning, and data science tasks that involve training models on large datasets or performing high-speed inference operations. It also supports big data analytics, scientific simulations, and visualization workloads such as 3D rendering or modeling that require high computational throughput. -
2
Compute with Hivenet
Hivenet
Hivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe. Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint. Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside hivenet compute. -
3
Muse Spark Open
Meta
Muse Spark Open is an open-weight, natively multimodal language model for developers and organizations building AI applications, coding systems, and agentic workflows. The released model has 816 billion total parameters, 42 billion active parameters, and a 1-million-token context window. Teams can download the model weights, run inference through supported engines such as vLLM, SGLang, TensorRT-LLM, Hugging Face Transformers, Apple MLX, llama.cpp, or Unsloth, and customize the model using PyTorch. It supports long-context reasoning, software engineering, coding, tool use, and multimodal inputs. Deployment options include cloud inference through listed API providers or self-hosting on compatible GPU systems; Meta documents a desktop setup using two Apple M5 Ultra Mac Studio computers. The model is released under the Muse Model License with limited commercial terms.Starting Price: $0 -
4
GPUBank
GPU Compute
GPUBank is a cloud GPU rental platform for developers, machine-learning practitioners, and research teams that need accelerated compute for AI and other GPU workloads. Through its web console, customers can select NVIDIA or AMD GPU instances, choose a deployment region, and start preconfigured environments for tasks such as model training, inference, fine-tuning, image generation, and framework development. Available templates include PyTorch, vLLM, ComfyUI, and Ollama. The service provides an API, command-line interface, Python SDK, and Terraform provider for provisioning and usage management. GPU compute is priced by the second, with the selected instance's CPU, memory, local NVMe storage, public IPv4, and network traffic included in the hourly rate; persistent disks are billed separately. Customers can use on-demand, interruptible, or reserved capacity across listed data-center regions.Starting Price: $0.23/GPU/hour -
5
Hinode
Hinode
Hinode is a cloud workspace for people who make images and video with AI. The workspace keeps your files, installed applications and a shared folder for models and datasets between sessions. When a job needs a whole GPU, you attach a machine beside it: NVIDIA L4 with 24 GB VRAM, L40S with 48 GB or RTX PRO 6000 with 96 GB, each with 32 to 256 GB of RAM. The machine starts from your saved workspace, so the tools you set up are already on it. You can reach your work through a streamed Ubuntu desktop in the Hinode app for Mac, Windows and Linux, or in Chrome and Edge with nothing to install. It also works over SSH, with the hinode command-line tool, from VS Code Remote-SSH, or through an MCP connector for Claude and other assistants. ComfyUI, PyTorch, JupyterLab, Ollama, vLLM, AI Toolkit, Axolotl and a few other apps install in one click.Starting Price: $0.29/h/workspace -
6
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 -
7
BHK Cloud
BHK Cloud
BHK Cloud is a Frankfurt-based cloud infrastructure platform for AI and data-intensive workloads. It provides on-demand RTX 3090 GPU compute with 24 GB VRAM starting at $0.15 per GPU hour, S3-compatible object storage from $2.50 per TB/month with zero egress fees, and managed AI agent hosting. Customers can provision resources through a REST API and CLI, launch preconfigured PyTorch, TensorFlow, and CUDA environments, attach storage volumes, and use existing S3 tools such as AWS CLI and boto3 through a compatible endpoint. Infrastructure is operated from Frankfurt for teams seeking European data residency, predictable usage-based pricing, and no minimum commitments. BHK Cloud supports model inference, image generation, LoRA or QLoRA fine-tuning, rendering, video processing, backups, archives, and large model or data pipelines.Starting Price: $0.15 per GPU hour -
8
GPUonCLOUD
GPUonCLOUD
Traditionally, deep learning, 3D modeling, simulations, distributed analytics, and molecular modeling take days or weeks time. However, with GPUonCLOUD’s dedicated GPU servers, it's a matter of hours. You may want to opt for pre-configured systems or pre-built instances with GPUs featuring deep learning frameworks like TensorFlow, PyTorch, MXNet, TensorRT, libraries e.g. real-time computer vision library OpenCV, thereby accelerating your AI/ML model-building experience. Among the wide variety of GPUs available to us, some of the GPU servers are best fit for graphics workstations and multi-player accelerated gaming. Instant jumpstart frameworks increase the speed and agility of the AI/ML environment with effective and efficient environment lifecycle management.Starting Price: $1 per hour -
9
supercomputer
supercomputer
supercomputer is a hosted cloud-compute service that provides GPU and CPU sessions for machine-learning and other compute-intensive workloads. Developers, researchers, and teams can launch and manage sessions from a command-line interface or Python SDK, run code on configurable GPU instances, and preserve workspace files between sessions. The service supports model training and fine-tuning, inference, experiments, evaluations, batch processing, hyperparameter sweeps, and data-processing jobs. Users can upload scripts and datasets, execute commands in persistent sessions, and retrieve results or save them in shared volumes. Compute charges accrue only while sessions are running, and stopped sessions retain their workspace for later use. The service uses prepaid credits and bills compute by the second, with rates varying by GPU configuration. -
10
RunComfy
RunComfy
Our cloud-based environment that automatically sets up your ComfyUI workflow. Each workflow fully equipped with all the essential custom nodes and models, ensuring a hassle-free beginning. Unlock the full potential of your creative projects with ComfyUI Cloud's high-performance GPUs. Benefit from faster processing speeds at market-leading rates, ensuring both time and cost savings. Launch ComfyUI cloud instantly, no installation required, for a seamless start with a fully prepared environment, ready for immediate use. Access ready-to-use ComfyUI workflows with pre-set models and nodes, avoiding configuration hassles in the cloud. Experience rapid results with our powerful GPUs, boosting productivity and efficiency in creative projects. -
11
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. -
12
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 -
13
Bayesforge
Quantum Programming Studio
Bayesforge™ is a Linux machine image that curates the very best open source software for the data scientist who needs advanced analytical tools, as well as for quantum computing and computational mathematics practitioners who seek to work with one of the major QC frameworks. The image combines common machine learning frameworks, such as PyTorch and TensorFlow, with open source software from D-Wave, Rigetti as well as the IBM Quantum Experience and Google's new quantum computing language Cirq, as well as other advanced QC frameworks. For instance our quantum fog modeling framework, and our quantum compiler Qubiter which can cross-compile to all major architectures. All software is made accessible through the Jupyter WebUI which, due to its modular architecture, allows the user to code in Python, R, and Octave. -
14
Runcrate
Aeonmind LLC
Runcrate gives AI teams and their agents GPUs and inference from one account. Instances: rent a GPU by the hour (H100, H200, A100, L40S, RTX 4090, RTX PRO 6000 and more, 20+ models) with SSH, Jupyter and VS Code in the browser. A launch reaches running in about four minutes, booting is never billed, and most GPUs bill by the second. Inference: 200+ open models (DeepSeek, Qwen, Llama, Kimi, FLUX, Whisper) behind one OpenAI-compatible API, so the client you already use works. Priced per token, image or second. Storage volumes keep datasets and checkpoints between instances, and reserved clusters cover 8+ GPUs or month-long terms. Built for agents: connect Claude Code, Codex or Cursor to the Runcrate MCP server with one command and sign in through your browser, no key to paste. Your agent can then launch a GPU, run commands on it and shut it down. Also a CLI (brew install runcrateai/tap/runcrate) and Python and TypeScript SDKs.Starting Price: $0.65/hour -
15
Logen
TitanXT
Logen is a Windows and Linux desktop application for AI image generation on a local computer. It combines project-based chat, model management, workflow tools, image galleries and full-resolution viewing. Its setup prepares ComfyUI for image rendering and Ollama for local prompt assistance. Users can organize generated images by project, adjust generation options, and work with supported ComfyUI workflows. The free tier includes local image generation with FLUX.1-schnell. The one-time Pro upgrade adds batch generation, additional models and custom workflow presets. Logen is intended for creators who want to run image-generation workflows on their own computer rather than use a cloud image-generation service. Windows 10/11 x64 and Linux x64 are supported, and an NVIDIA GPU is recommended. Initial setup and model downloads require an internet connection; image generation runs locally after setup.Starting Price: £49 one-time -
16
AMD Developer Cloud provides developers and open-source contributors with immediate access to high-performance AMD Instinct MI300X GPUs through a cloud interface, offering a pre-configured environment with Docker containers, Jupyter notebooks, and no local setup required. Developers can run AI, machine-learning, and high-performance-computing workloads on either a small configuration (1 GPU with 192 GB GPU memory, 20 vCPUs, 240 GB system memory, 5 TB NVMe) or a large configuration (8 GPUs, 1536 GB GPU memory, 160 vCPUs, 1920 GB system memory, 40 TB NVMe scratch disk). It supports pay-as-you-go access via linked payment method and offers complimentary hours (e.g., 25 initial hours for eligible developers) to help prototype on the hardware. Users retain ownership of their work and can upload code, data, and software without giving up rights.
-
17
MimicPC
MimicPC
MimicPC is a cloud-based AI platform that frees you from the need for a high-performance computer or GPU. Seamlessly run cutting-edge applications like Stable Diffusion, ComfyUI, Automatic 111t Face Fusion, RVC, Ollama, and Fooocus right from you r browser. Whether you're a developer, artist, or tech enthusiast, MimicPC provides the powerful tools you need to bring your creative visions to life effortlessly.Starting Price: $0.49/hour -
18
Open WebUI
Open WebUI
Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline. It supports various LLM runners like Ollama and OpenAI-compatible APIs, with a built-in inference engine for Retrieval Augmented Generation (RAG), making it a powerful AI deployment solution. Key features include effortless setup via Docker or Kubernetes, seamless integration with OpenAI-compatible APIs, granular permissions and user groups for enhanced security, responsive design across devices, and full Markdown and LaTeX support for enriched interactions. Additionally, Open WebUI offers a Progressive Web App (PWA) for mobile devices, providing offline access and a native app-like experience. The platform also includes a Model Builder, allowing users to create custom models from base Ollama models directly within the interface. With over 156,000 users, Open WebUI is a versatile solution for deploying and managing AI models in a secure, offline environment. -
19
INGATE GPU Server
INGATE
INGATE GPU Server is a dedicated bare-metal hosting service for organizations running AI and machine-learning training, inference, rendering, visualization, and other GPU workloads. Customers rent physically dedicated servers equipped with NVIDIA GPUs such as RTX 4000 Ada, RTX PRO 6000 Blackwell, L40S, and H100 NVL; configurations may include one or more GPUs. INGATE offers Dell PowerEdge and Supermicro systems, with server configurations adapted to customer requirements. Servers are hosted at the EMC Home of Data data center in Munich, Germany. Customers receive a dedicated contact person and can request technical support for their deployment. The service is aimed at business users needing dedicated GPU compute for model development, inference, visualization, and rendering. INGATE's information security management system is certified to ISO 27001 and ISO 27017, and customer data remains in Germany.Starting Price: €951.20/month -
20
Comfy Cloud
Comfy
Comfy Cloud delivers the full functionality of ComfyUI, a node-based visual generative-AI workflow engine, directly in the browser with no setup required. It works anywhere instantly, giving users access to the most powerful server GPUs (such as A100/40 GB) while maintaining stability and performance. All popular open and closed source models (e.g., Stable Diffusion 1.5/SDXL, Qwen-Image, ByteDance SeeDream4.0, Ideogram, Moonvalley) and pre-installed custom nodes are ready to use, while the platform is kept continuously up to date and the underlying infrastructure is managed for you. Users pay only for GPU runtime, not idle time, so editing, setup, and downtime aren’t billed. It supports browser-based creation on any device, handles workflows at scale, and simplifies team deployment with enterprise-grade features such as priority queuing, dedicated resources, and organizational plans.Starting Price: $20 per month -
21
Provision a VM quickly with everything you need to get your deep learning project started on Google Cloud. Deep Learning VM Image makes it easy and fast to instantiate a VM image containing the most popular AI frameworks on a Google Compute Engine instance without worrying about software compatibility. You can launch Compute Engine instances pre-installed with TensorFlow, PyTorch, scikit-learn, and more. You can also easily add Cloud GPU and Cloud TPU support. Deep Learning VM Image supports the most popular and latest machine learning frameworks, like TensorFlow and PyTorch. To accelerate your model training and deployment, Deep Learning VM Images are optimized with the latest NVIDIA® CUDA-X AI libraries and drivers and the Intel® Math Kernel Library. Get started immediately with all the required frameworks, libraries, and drivers pre-installed and tested for compatibility. Deep Learning VM Image delivers a seamless notebook experience with integrated support for JupyterLab.
-
22
packet.ai
packet.ai
packet.ai is a GPU cloud platform built to give developers and AI teams fast access to high-performance computing without the complexity and inefficiencies of traditional cloud infrastructure. It provides on-demand GPU instances, including modern NVIDIA hardware, that can be launched in seconds and accessed through tools like SSH, Jupyter, or VS Code, enabling users to quickly start training models, running inference, or experimenting with AI workloads. It introduces a different approach to GPU usage by dynamically allocating resources based on real-time workload demands, rather than treating a GPU as a fixed unit, allowing multiple compatible workloads to share hardware efficiently while maintaining predictable performance. This results in higher utilization and eliminates the need to pay for idle capacity, focusing instead on the exact compute resources consumed. packet.ai also offers an OpenAI-compatible API for language model inference, embeddings, and fine-tuning, etc.Starting Price: $0.39/hour -
23
DiffusionHub
DiffusionHub
DiffusionHub is a dynamic cloud platform that leverages the power of AI to streamline the process of image and video generation. It offers a free 30-minute trial, allowing users to explore its capabilities before making a commitment. The platform is designed to be user-friendly and intuitive, with options like Automatic1111, ComfyUI, and Kohya that eliminate the need for complex installations and coding. It provides a comfortable and intuitive workflow interface for effortless AI art creation. DiffusionHub offers competitive pricing starting at $0.99 per hour. It also ensures private and secure sessions, safeguarding user confidentiality and preventing access to models or generations by other users.Starting Price: $0.99 per hour -
24
EcoHash
EcoHash Platform Technology
EcoHash is a cloud platform for AI compute and model serving. It provides on-demand NVIDIA RTX Pro 6000 GPU workspaces and clusters, persistent cloud drives and shared filesystems, dataset validation, managed LoRA and QLoRA fine-tuning, dedicated model endpoints, and an inference API for text, vision, embeddings, reranking, image, and speech workloads. Developers can run their own containers or deploy open models and call platform or dedicated models through an OpenAI-compatible API. A browser console, SSH, JupyterLab, Compute API, and MCP tools support building, training, deploying, and managing workloads. EcoHash serves AI developers and platforms, including startups and cloud providers, and energy and mining operators developing AI compute infrastructure.Starting Price: $0.02/1M tokens -
25
tensorViz
tensorViz
tensorViz helps developers explore PyTorch models and JAX/Flax programs as interactive graphs. For PyTorch, users can expand nested modules, inspect tensor shapes captured from one forward pass, jump to Python source, and review architecture changes beside code diffs. The website offers recorded model graphs to explore without installation. The free VS Code extension is available from the Visual Studio Marketplace and Open VSX. Local capture requires Python, model dependencies, and example inputs. Standalone coding-agent plugins are an Apple Silicon macOS preview; MCP agents can also connect to the extension. JAX/Flax graphs use CPU tracing with inferred shapes, and PyTorch source edits are unavailable for them.Starting Price: $0 -
26
ExecuTorch
ExecuTorch
ExecuTorch is PyTorch’s open source framework for deploying AI/ML models directly to edge devices, enabling text, vision, speech, recommendation, and multimodal inference without requiring the cloud. It exports models from PyTorch without intermediate conversion formats, preserves ATen operators, and uses ahead-of-time compilation to optimize performance for target hardware before deployment. Its modular design lets developers choose compile-time and runtime optimizations while staying inside the familiar PyTorch ecosystem, including torchao for quantization. A portable C++ runtime with a base footprint of about 50 KB can run on smartphones, desktops, embedded systems, microcontrollers, DSPs, and Cortex-M processors. ExecuTorch supports Android, iOS, Linux, Windows, macOS, and WebAssembly, with native APIs for C++, Swift, Kotlin, and Objective-C.Starting Price: Free -
27
NVIDIA Triton™ inference server delivers fast and scalable AI in production. Open-source inference serving software, Triton inference server streamlines AI inference by enabling teams deploy trained AI models from any framework (TensorFlow, NVIDIA TensorRT®, PyTorch, ONNX, XGBoost, Python, custom and more on any GPU- or CPU-based infrastructure (cloud, data center, or edge). Triton runs models concurrently on GPUs to maximize throughput and utilization, supports x86 and ARM CPU-based inferencing, and offers features like dynamic batching, model analyzer, model ensemble, and audio streaming. Triton helps developers deliver high-performance inference aTriton integrates with Kubernetes for orchestration and scaling, exports Prometheus metrics for monitoring, supports live model updates, and can be used in all major public cloud machine learning (ML) and managed Kubernetes platforms. Triton helps standardize model deployment in production.Starting Price: Free
-
28
ex5.ai
EX5 Labs
ex5.ai is a cloud GPU marketplace and AI compute platform for renting on-demand or interruptible GPU instances. Users can compare available hardware and regional offers, launch GPU machines for model development, training, fine-tuning or inference, and pay from a prepaid credit balance with per-second compute billing. The service also provides an OpenAI-compatible model API, a browser-based chat workspace and hosted fine-tuning with deployment of private model endpoints. GPU prices vary by model, host, location and availability; credits can be added in advance, with a $5 minimum top-up and no subscription. The web console brings GPU compute and AI model services together, while API access supports applications that use compatible chat-completion requests.Starting Price: $0.33/GPU-hour -
29
GPU Mart
GPU Mart
GPU Mart provides affordable and scalable GPU hosting solutions for AI developers, startups, research teams, and businesses that require high-performance computing without the excessive costs often associated with major cloud platforms. Backed by Database Mart, GPU Mart combines enterprise-grade infrastructure with transparent pricing, flexible deployment models, and real GPU hardware resources. Our platform supports AI inference, LLM hosting, machine learning, image generation, rendering, and CUDA-based workloads while offering both hourly and monthly billing options to fit different project sizes and budgets. Backed by 25,000+ deployed GPU servers, 3,500+ online AI GPUs, and a 99.9% uptime SLA, GPU Mart has built a proven track record of large-scale, reliable GPU infrastructure, standing out through real hardware-based performance, consistent stability, and dependable service for production AI workloads.Starting Price: $17.98 per month -
30
Hugging Face Transformers
Hugging Face
Transformers is a library of pretrained natural language processing, computer vision, audio, and multimodal models for inference and training. Use Transformers to train models on your data, build inference applications, and generate text with large language models. Explore the Hugging Face Hub today to find a model and use Transformers to help you get started right away. Simple and optimized inference class for many machine learning tasks like text generation, image segmentation, automatic speech recognition, document question answering, and more. A comprehensive trainer that supports features such as mixed precision, torch.compile, and FlashAttention for training and distributed training for PyTorch models. Fast text generation with large language models and vision language models. Every model is implemented from only three main classes (configuration, model, and preprocessor) and can be quickly used for inference or training.Starting Price: $9 per month -
31
LeaderGPU
LeaderGPU
Conventional CPUs can no longer cope with the increased demand for computing power. GPU processors exceed the data processing speed of conventional CPUs by 100-200 times. We provide servers that are specifically designed for machine learning and deep learning purposes and are equipped with distinctive features. Modern hardware based on the NVIDIA® GPU chipset, which has a high operation speed. The newest Tesla® V100 cards with their high processing power. Optimized for deep learning software, TensorFlow™, Caffe2, Torch, Theano, CNTK, MXNet™. Includes development tools based on the programming languages Python 2, Python 3, and C++. We do not charge fees for every extra service. This means disk space and traffic are already included in the cost of the basic services package. In addition, our servers can be used for various tasks of video processing, rendering, etc. LeaderGPU® customers can now use a graphical interface via RDP out of the box.Starting Price: €0.14 per minute -
32
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 -
33
NVIDIA Brev
NVIDIA
NVIDIA Brev is a cloud-based platform that provides instant access to fully configured GPU environments optimized for AI and machine learning development. Its Launchables feature offers prebuilt, customizable compute setups that let developers start projects quickly without complex setup or configuration. Users can create Launchables by specifying GPU resources, Docker images, and project files, then share them easily with collaborators. The platform also offers prebuilt Launchables featuring the latest AI frameworks, microservices, and NVIDIA Blueprints to jumpstart development. NVIDIA Brev provides a seamless GPU sandbox with support for CUDA, Python, and Jupyter Lab accessible via browser or CLI. This enables developers to fine-tune, train, and deploy AI models with minimal friction and maximum flexibility.Starting Price: $0.04 per hour -
34
Graydient AI
Graydient AI
Graydient AI is one of the best values in AI, with unlimited image and LLM chats. It features easy tools for beginners and very deep customization for professionals, including a REST API. Beginners can enjoy point and click image creation using preset AI workflows like "realistic iphone photo" or "anime movie poster" and get high defintion images in seconds. Pros can dive deeper with over 10,000 preloaded checkpoints, loras, and embeddings and ComfyUI json import. The most popular models are preloaded like Flux.1 Dev FP32, Stable Diffusion 3.5, Pony Diffusion and Meta Llama 3.1 70B. You can train your own LoRa models unlimited, and create macros called Recipes to use all of the above over Telegram chat or a unified Web UI. Graydient has a satisfaction guarantee, so try it today risk-free.Starting Price: $15.99 per month -
35
Playbook
Playbook
An API that streams 3D scene data into ComfyUI diffusion-based workflows. Our API is exposed via our web editor, which allows for steering image generation with 3D. Support for custom workflows and LoRAs for teams & enterprises using AI in production pipelines. At Playbook, we believe that AI can be a powerful tool for doing great work and that getting there requires tight integration between model, application, and product. You own the assets created through our platform, provided that you have used inputs that do not violate the copyrights of others in the process of generating your model. Underlying the rise of spatial computing (AR/VR) and increasing reliance on visual effects (VFX) is the need for a 3D production pipeline that produces real-time content faster. Playbookengine.com is a diffusion-based render engine that reduces the time to final image with AI. It is accessible via web editor and API with support for scene segmentation and re-lighting. -
36
ComfyUI
ComfyUI
ComfyUI is a free and open source node-based application for generative AI, enabling users to build, create, and share without limits. It allows for the extension of functionality through custom nodes, letting users tailor workflows to their specific needs. Designed for performance, ComfyUI runs workflows directly on local machines, offering faster iteration, lower costs, and complete control. The visual interface provides full control by connecting nodes on a canvas, allowing for branching, remixing, and adjusting every part of the workflow at any time. Workflows can be saved, shared, and reused effortlessly, with exported media carrying metadata to instantly rebuild the full workflow. Users can see results in real-time as they adjust workflows, facilitating faster iteration with instant visual feedback. ComfyUI supports the generation of various media types, including images, videos, 3D assets, and audio.Starting Price: Free -
37
Hathora
Hathora
Hathora is a real-time compute orchestration platform designed to enable high-performance, low-latency applications by aggregating CPUs and GPUs across clouds, edge, and on-prem infrastructure. It supports universal orchestration, letting teams run workloads across their own data centers or Hathora’s global fleet with intelligent load balancing, automatic spill-over, and built-in 99.9% uptime. Edge-compute capabilities ensure sub-50 ms latency worldwide by routing workloads to the closest region, while container-native support allows any Docker-based workload, including GPU-accelerated inference, game servers, or batch compute, to deploy without re-architecture. Data-sovereignty features let organizations enforce region-locked deployments and meet compliance obligations. Use-cases span real-time inference, global game-server hosting, build farms, and elastic “metal” availability, all accessible through a unified API and global observability dashboards.Starting Price: $4 per month -
38
Image MetaHub
Image MetaHub
Image MetaHub is a local-first, open-source desktop app for managing AI-generated images and videos. It automatically reads generation metadata from tools such as ComfyUI, Automatic1111, Forge, Fooocus, InvokeAI, SwarmUI, SD.Next and Draw Things, making it easier to search, compare, organize and continue previous generations. Users can browse large local libraries, inspect prompts, models, LoRAs, seeds, samplers, steps and workflows, compare variations side by side, add tags and notes, preserve PNG metadata on export, and send images or prompts back into supported generation tools for further work. Image MetaHub is designed for creators who want full control of their media library without uploading files to the cloud, keeping their AI outputs, workflows and metadata private and accessible on their own machine.Starting Price: $39 -
39
RapidRAW
RapidRAW
RapidRAW is a free, open-source RAW photo editor for photographers who want to organize, develop, and export images on Windows, macOS, Linux, or Android. Its library supports browsing, culling, ratings, flags, tags, albums, and batch operations. A non-destructive editing workflow stores adjustments separately from original files and offers exposure, color, tone-curve, detail, effects, crop, lens-correction, and masking controls. GPU-accelerated processing supports RAW development, while built-in AI tools provide denoising, subject and scene masks, depth maps, and automatic tagging. Users can also connect a self-hosted ComfyUI server for generative editing or link an Immich server to browse a photo library, synchronize edits, and export images. Additional tools include presets, panorama and HDR merging, focus stacking, tethered capture on supported systems, and batch export to common image formats.Starting Price: Free -
40
PerLod
PerLod
PerLod provides virtual private servers, dedicated servers, GPU servers, and related cloud infrastructure for developers, businesses, and technical teams. Customers can choose server configurations by processor, memory, storage, bandwidth, and operating system for workloads such as application hosting, development and testing, virtualization, data processing, and AI or machine-learning tasks. VPS plans include Linux and Windows options, while dedicated and GPU configurations offer resources for customers seeking more compute capacity or dedicated hardware. PerLod advertises server locations across Europe, North America, and Asia-Pacific, with online ordering and account management. The service is intended for customers who want to provision and manage hosted server infrastructure rather than purchase a general-purpose business application. Plan prices and available configurations vary by server type and location.Starting Price: $8.99/month -
41
Impossible Cloud
Impossible Cloud
Impossible Cloud is an enterprise cloud platform that delivers high-performance object storage, dedicated bare metal GPU servers, and managed AI infrastructure for data-intensive workloads. Its S3-compatible object storage provides scalable cloud storage with enterprise security, high availability, and transparent pricing that eliminates egress fees and vendor lock-in. The platform also offers dedicated bare metal GPU servers that provide direct hardware access without virtualization, enabling maximum performance for AI training and inference workloads. Managed AI services include LLM inference, model deployment, Kubernetes, and high-performance computing to simplify AI infrastructure management. Impossible Cloud emphasizes enterprise-grade security through ISO 27001, SOC 2, GDPR compliance, encryption, and customer-controlled access to data.Starting Price: $7.99 per month -
42
AWS Neuron
Amazon Web Services
It supports high-performance training on AWS Trainium-based Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances. For model deployment, it supports high-performance and low-latency inference on AWS Inferentia-based Amazon EC2 Inf1 instances and AWS Inferentia2-based Amazon EC2 Inf2 instances. With Neuron, you can use popular frameworks, such as TensorFlow and PyTorch, and optimally train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal code changes and without tie-in to vendor-specific solutions. AWS Neuron SDK, which supports Inferentia and Trainium accelerators, is natively integrated with PyTorch and TensorFlow. This integration ensures that you can continue using your existing workflows in these popular frameworks and get started with only a few lines of code changes. For distributed model training, the Neuron SDK supports libraries, such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP). -
43
DeepInfra
DeepInfra
DeepInfra is an AI inference cloud that makes it simple to run the latest machine learning models at scale, including LLMs, vision models, embeddings, image generation, video generation, speech, and more. It provides serverless inference through simple APIs, allowing developers to integrate production-ready AI models without managing GPU infrastructure, autoscaling, deployment complexity, or model hosting operations. DeepInfra supports OpenAI-compatible APIs for LLMs and embeddings, making it easier to switch from existing OpenAI-style integrations while accessing a broad catalog of open and commercial models. Its Native API gives access to every model type available on the platform, including image generation, speech recognition, object detection, token classification, fill-mask, image classification, zero-shot image classification, and text classification. DeepInfra is optimized for scalable, low-latency inference and runs models on high-performance GPU infrastructure.Starting Price: $1.98 per hour -
44
GPU.ai
GPU.ai
GPU.ai is a cloud platform specialized in GPU infrastructure tailored to AI workloads. It offers two main products: GPU Instance, letting users launch compute instances with recent NVIDIA GPUs (for tasks like training, fine-tuning, and inference), and model inference, where you upload your pre-built models and GPU.ai handles deployment. The hardware options include H200s and A100s. It also supports custom requests via sales, with fast responses (within ~15 minutes) for more specialized GPU or workflow needs.Starting Price: $2.29 per hour -
45
FrameThrower
FrameThrower AI, Inc.
Explore the world's largest library of film stills for inspiration, learning, and making movies faster. FrameThrower is built for filmmakers, advertising creatives, and film students. Search thousands of films by lighting, lens character, shot size, colour grade, time of day, and who is in the shot. Describe a scene in natural language to find frames that visually match. Save references to lookbooks and export them as PDFs or ZIP files. Builders can access eleven REST endpoints, an MCP server for Claude and ChatGPT, an npm SDK, and a ComfyUI node that brings frames and ready-made depth maps into image workflows. Built by senior filmmakers and advertising creatives. -
46
Verda
Verda
Verda is a frontier AI cloud platform delivering premium GPU servers, clusters, and model inference services powered by NVIDIA®. Built for speed, scalability, and simplicity, Verda enables teams to deploy AI workloads in minutes with pay-as-you-go pricing. The platform offers on-demand GPU instances, custom-managed clusters, and serverless inference with zero setup. Verda provides instant access to high-performance NVIDIA Blackwell GPUs, including B200 and GB300 configurations. All infrastructure runs on 100% renewable energy, supporting sustainable AI development. Developers can start, stop, or scale resources instantly through an intuitive dashboard or API. Verda combines dedicated hardware, expert support, and enterprise-grade security to deliver a seamless AI cloud experience.Starting Price: $3.01 per hour -
47
TorchMetrics
TorchMetrics
TorchMetrics is a collection of 90+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. A standardized interface to increase reproducibility. It reduces boilerplate. distributed-training compatible. It has been rigorously tested. Automatic accumulation over batches. Automatic synchronization between multiple devices. You can use TorchMetrics in any PyTorch model, or within PyTorch Lightning to enjoy additional benefits. Your data will always be placed on the same device as your metrics. You can log Metric objects directly in Lightning to reduce even more boilerplate. Similar to torch.nn, most metrics have both a class-based and a functional version. The functional versions implement the basic operations required for computing each metric. They are simple python functions that as input take torch.tensors and return the corresponding metric as a torch.tensor. Nearly all functional metrics have a corresponding class-based metric.Starting Price: Free -
48
HPC-AI
HPC-AI
HPC-AI is an enterprise AI infrastructure and GPU cloud platform designed to accelerate deep learning training, inference, and large-scale compute workloads with high performance and cost efficiency. It delivers a pre-configured AI-optimized stack that enables rapid deployment and real-time inference while supporting demanding workloads that require high IOPS, ultra-low latency, and massive throughput. It provides a robust GPU cloud environment built for artificial intelligence, high-performance computing, and other compute-intensive applications, giving teams the tools needed to run complex workflows efficiently. At its core, the company’s software focuses on parallel and distributed training, inference, and fine-tuning of large neural networks, helping organizations reduce infrastructure costs while maintaining performance. It is powered in part by technologies such as Colossal-AI, which significantly accelerates model training and improves productivity.Starting Price: $3.05 per hour -
49
Lium
lium.io
Agent-first GPU cloud. Rent NVIDIA GPUs via web, CLI, SDK, or API. Providers earn 95% rental revenue + bonuses. lium.io connects developers, research teams and AI agents with independent GPU providers. Rent a single GPU or a full 8-GPU node for training, fine-tuning, inference and batch jobs, with SSH and Jupyter access. Deploy through the web, CLI, Python SDK, API or MCP integration. Billing is per second, with usage-based marketplace prices and no minimum commitment. View live rates and availability on the live pricing page; prices change with supply. Choose Secure or Spot GPU capacity to fit your workload. New accounts can receive $5 of credit after passing signup checks. Have idle GPUs? Set your own rental prices and list capacity in the provider portal. Documentation and developer guides are available.Starting Price: $0.40 per GPU per hour -
50
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
