AI video generation
Example VRAM24 GB+
Hosting optionPod or Serverless
What mattersQueue time + $/job
See how to choose →
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
Example workload
AI image generation
Example VRAM16 GB+
Hosting optionPod or Serverless
What mattersSpeed + cost per image
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LLM inference
Example VRAM24 GB+
Hosting optionPod or Managed API
What mattersModel size + response time
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Model fine-tuning
Example VRAM48 GB+
Hosting optionPod or GPU VM
What mattersMemory + training time
See how to choose →
Bursty production API
Example VRAM24 GB+
Hosting optionServerless
What mattersCold starts + concurrency
See how to choose →
Experimenting and testing
Example VRAM16 GB+
Hosting optionPod or GPU VM
What mattersEasy setup + idle cost
See how to choose →
Your workload. Your GPU. Your next move.
Start with what you want to run
Compare
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
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Lambda
On-demand GPU instances and clusters for model training and inference, with API and CLI access.
Pods / VMsUp to 180.00 GB VRAM
From$0.69/hr
Modal
Serverless GPU compute for model inference, fine-tuning, training and evaluation.
ServerlessUp to 180.00 GB VRAM
From$1.95/hr
Replicate
Hosted APIs for image, video and language models, with fine-tuning and custom deployments.
API
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Together AI
Hosted model inference, fine-tuning and GPU compute for AI development.
API
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Verda
Verda provides GPU instances and serverless containers for training and inference.
Pods / VMsServerless
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Akash Network
Decentralized marketplace for container workloads, with AkashML offering hosted model inference.
Pods / VMsAPI
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CloudRift
GPU rentals using virtual machines, containers and bare metal, plus hosted inference endpoints.
Pods / VMsAPI
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Nebius
AI cloud infrastructure for model training and inference, including hosted model services.
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NodeShift
Private AI platform with a model gateway and deployment across cloud or private infrastructure.
API
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SaladCloud
Distributed GPU containers, dedicated GPU infrastructure and a managed AI gateway.
Pods / VMsAPI
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Simple decision
Pod or serverless?
For most people, this is the first decision that matters.
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
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