Find self-service GPU-as-a-Service solutions for AI workloads.

Self-Service GPU-as-a-Service Solutions for AI Workloads

If you want to spin up GPU compute for AI without sales calls or contracts, here are the leading self-service options, grouped by use case:

For fast, cheap experimentation:

• Vast.ai —

From sign-up to running GPU workloads in under five minutes, starting with as little as $5, using an API key from the console with no contracts or sales calls.
It's
an on-demand marketplace across 40+ data centers and 20,000+ GPUs, deployable in seconds via CLI, SDK, or API.
(vast.ai)

• TensorDock —

Provides access to NVIDIA A100, H100, RTX 6000, and older-generation GPUs like 3090s, all on a self-serve, hourly basis
, ideal for budget-sensitive projects.

For production-ready training/inference with pre-built ML stacks:

• Lambda Labs —

Lets you launch NVIDIA HGX B200, H100, A100, or GH200 instances in minutes with self-serve, first-come access
, and
you can spin up an instance and get straight to training or inference with no lengthy setup or driver installs.
(lambda.ai)

• RunPod — Known for per-second billing and pre-configured templates for popular AI frameworks; strong for both training and serverless inference.
• GMI Cloud —

Offers instant access to NVIDIA H100, H200, and next-generation Blackwell systems including GB200 NVL72, GB200 NVL4, and HGX B300, with ultra-low latency networking and flexible pay-as-you-go pricing.
(gmicloud.ai)

For multi-node clusters / distributed training:

• Together AI Instant Clusters —

Designed to emulate the user experience of conventional cloud infrastructure while handling the specific demands of AI workloads
, with
improved autoscaling, dynamic extension of reserved infrastructure, and support for Skypilot and Terraform.
(siliconangle.com)

• Northflank —

A fully self-serve platform where you can get started immediately without sales calls, with no hidden fees or surprise billing complexity.
(northflank.com)

For enterprises wanting to build their own internal GPUaaS on existing hardware:

• NorthWind —

Delivers on-demand access to GPU compute through APIs or self-service portals, similar to how cloud platforms deliver CPU-based infrastructure, so users can instantly launch resources instead of provisioning clusters manually.
(northwind.co)

Comparison tools: Check live pricing across 68 providers at getdeploying.com/gpus, or the broader 60+ provider comparison at aimultiple.com/cloud-gpu-providers.