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Dedicated GPU
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Dedicated GPU deployments
Unlimited AI generation on a GPU that is only yours
Move image, video, audio, 3D and LLM inference off per-request billing and onto isolated infrastructure at a flat monthly price. Generate as much as you want — the invoice does not move.
Prefer to read first? Enterprise API documentation
- Teams on dedicated GPUs
- 450+Teams on dedicated GPUs
- Uptime
- 99.9%Uptime
- API requests served
- 500M+API requests served
- Support
- 24/7Support
Pay-as-you-go against dedicated
Both are real options and we sell both. This is where the line falls.
| Pay as you go | Dedicated GPU | |
|---|---|---|
| What you pay | Per request. Scales with every generation. | Flat monthly. Volume does not change the invoice. |
| Cost at scale | Grows with usage — your COGS moves with traffic. | Fixed line item you can forecast and put in a model. |
| Throughput ceiling | Shared pool. You compete with general traffic. | The GPU is yours. No competing pool traffic. |
| Latency | Varies with pool load. | ~1.2s per image, predictable under your own load. |
| Custom models | Catalogue models only. | Upload 100+ of your own checkpoints, LoRAs, ControlNets. |
| Where outputs land | Our storage. | Your own S3 bucket, your CDN, private signed URLs. |
What you are actually buying
The details a technical buyer checks before putting this in front of their own customers.
Isolated capacity
Your workloads run on GPU capacity assigned to you — not a shared queue. Past 100 requests/second calls queue in order rather than failing, so traffic spikes degrade gracefully instead of dropping work.
Predictable latency
Around 1.2 seconds for a standard image generation, varying with resolution and step count. On the Standard plan a realtime server brings that close to 1 second.
You own the output
Everything generated on your deployment is yours, with full commercial rights. Resell it, ship it in your product, put it in front of your own customers.
Your data stays yours
Connect your own S3 bucket and outputs never sit in our storage. GDPR-aligned, with private signed URLs for delivery.
Bring your own models
Upload .ckpt, LoRA, embeddings, ControlNet and diffusers models. Load, switch and delete them over the API without redeploying.
One workload per server
Each server runs a single product — image generation, or LLM, or voice. Sizing more than one workload means more than one deployment, and we will tell you that before you buy rather than after.
Live in three steps
Switching cost is the objection nobody says out loud. Here is the whole of it.
- 01
Book a meeting
Schedule a call with our technical team to discuss your capacity requirements, models, and custom deployment.
- 02
We provision the GPU
Your deployment comes up with the models you want on it. Upload your own checkpoints at this point if you have them.
- 03
Point your code at it
Same request shape as the standard API against your dedicated endpoint. If you are already calling ModelsLab, this is a base-URL change.
Ready to deploy on dedicated GPUs?
Every deployment includes unlimited generations, your own S3 bucket, custom model uploads, and 24/7 technical support. Book a meeting with our engineers to discuss dedicated capacity.
Before you put it through finance
- Month to month
- No annual lock-in on monthly plans. Quarterly billing is available on every tier if your finance team prefers fewer invoices.
- Who owns the output
- You do, with full commercial rights, including anything generated from your own uploaded models.
- Where the data sits
- Your own S3 bucket if you connect one, which means outputs never persist in our storage. GDPR-aligned.
- Support
- 24/7 through support chat. On dedicated deployments you are talking to people who can see your server.
- Scaling up or down
- Change tier when your load changes. Sizing the wrong tier first is normal and reversible.
- Something non-standard
- Multi-GPU clusters, specific hardware, custom terms — that is a conversation, not a form. Talk to an engineer.
Deployment-ready models
FLUX, Stable Diffusion, Whisper, DeepSeek, Qwen and more, ready to run on your own GPU. Bring your own checkpoints alongside them.
Image
Dedicated GPU
Text to imageImage to imageInpainting
Image
Dedicated GPU
Text to imageImage to imageOptional LoRA support
Image
Dedicated GPU
Text to imageMulti-image img2imgWebhook and fetch flows
Image
Dedicated GPU
Image to imageReference-guided editingWebhook flows
Image
Dedicated GPU
Image editingReference-based changesWebhook and fetch flows
Image
Dedicated GPU
Up to 4 input images2048px max width and heightWebhook and fetch delivery
LLM
Dedicated GPU
Chat completionsPrivate prompt handlingRuntime control
LLM
Dedicated GPU
Chat completionsPrivate context handlingCode access
Audio
Dedicated GPU
Speech to textDedicated audio processingPrivate storage handling
Video
Dedicated GPU
Dedicated video generationPrivate prompt handlingCode access
3D
Dedicated GPU
Text to 3DImage to 3DPrivate asset handling
Get Expert Support in Seconds
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Want to know more? You can email us anytime at support@modelslab.com
Starts with $249 per month, you can pay yearly and get 20% discount.
No, There is no limit. You can generate as many images as you want.
It takes 1.2s second to generate a image on dedicated GPU. But depends on your image size and steps.
Yes, all images you generate have your copyright. Use it as you like or sell as you like.
24X7 support team is available for any issues. Just drop message to support chat on website.
You can upload .ckpt, lora, embeddings, controlnet and diffusers models. You can upload 100+ models.
Yes, there is a queue for API calls. If you make more than 100 API calls per second, it will be queued and processed in order. No API call will be lost.