GPU hosting made understandable

Find the right GPU cloud for what you actually want to run.

Compare GPU providers for AI video, image generation, LLMs and training — without decoding enterprise cloud jargon.

✓ Retail-friendly✓ Indie developer focused✓ Clear hosting types
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GPU hosting providers

Filter by what you want to run, rather than by infrastructure terminology.

Jarvislabs

GPU virtual machines, development templates and serverless deployments for AI workloads.

Pods / VMsServerless
Best forLLM inference, Training / fine-tuning, Experimenting and testing
GPU rangeSee provider
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fal

Image, video and audio model APIs, serverless GPUs and dedicated compute for model development.

Pods / VMsServerlessAPI
Best forAI video generation, AI image generation, Bursty production API, Training / fine-tuning
GPU rangeSee provider
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Modal

Serverless GPU compute for model inference, fine-tuning, training and evaluation.

ServerlessUp to 180.00 GB VRAM
Best forAI video generation, AI image generation, LLM inference, Bursty production API, Training / fine-tuning, Experimenting and testing
GPU rangeNVIDIA A100 40 GB, NVIDIA A100 80 GB, NVIDIA B200 SXM6, NVIDIA H100 SXM5, NVIDIA H200 SXM, NVIDIA L40S

RunPod

GPU Pods for container workloads alongside serverless inference and deployment APIs.

Pods / VMsServerlessUp to 180.00 GB VRAM
Best forTraining / fine-tuning, Experimenting and testing
GPU rangeNVIDIA A100 PCIe, NVIDIA B200 SXM6, NVIDIA H100 PCIe, NVIDIA H100 SXM5, NVIDIA H200 SXM, NVIDIA L40S, NVIDIA RTX 4090, NVIDIA RTX A5000
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Vast.ai

Marketplace GPU containers for training, inference and development, plus serverless deployments.

Pods / VMsServerless
Best forTraining / fine-tuning, Experimenting and testing
GPU rangeSee provider
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Verda

Verda provides GPU instances and serverless containers for training and inference.

Pods / VMsServerless
Best forLLM inference, Training / fine-tuning
GPU rangeSee provider
Check provider pricing
Simple decision

Pod or serverless?

For most people, this is the first decision that matters.

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GPU Pod / VM

A GPU machine stays allocated to you while it is running.

  • Best for steady or continuous work
  • Predictable environment
  • You pay while the machine is running
  • Concurrent jobs usually need your own queue/workers
Choose this when your GPU is busy often.
⚡

Serverless GPU

Workers spin up for jobs and scale with demand.

  • Best for bursts and unpredictable traffic
  • Multiple requests can scale across workers
  • You mainly pay for execution time
  • Cold starts can matter
Choose this when requests arrive in bursts.
Quick calculator

What does one generation actually cost?

Hourly rates are hard to compare. Convert them into an approximate cost per image, video or inference job.

Cost per job = hourly GPU price × job seconds ÷ 3,600
Approx. cost / job$0.049
Approx. monthly compute$48.63
Compute only. Storage, idle time, cold starts, data transfer and provider-specific charges may change the total.
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