Training & fine-tuning
Prepare your datasets and adapt models to your task with LoRA and QLoRA.
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GPU CLOUD
GPU cloud built around your workload.
RTX PRO 6000 Blackwell with 96 GB of GPU memory. Configure the compute you need for training, inference, and rendering.
Open GPU consoleGIGACOMMA
ACCELERATED COMPUTE96 GB
GPU CLOUD
MODEL API
POWERING EVERY INFERENCE.
96 GB VRAM per GPU1 / 2 / 4 / 8 GPUs16 vCPU · 64 GB RAM per GPUPersistent storage support
GPU CLOUD
Pricing
| GPU model | GPU memory | Hourly rate | Get started |
|---|---|---|---|
| RTX Pro 6000 | 96 GB | $1.89 / hour | Get started |
All prices are in USD. Check the console for final charges.
FROM EXPERIMENT TO PRODUCTION
Turn your next idea into action.
From compute infrastructure to AI applications. Connect the tools you need and focus on building.
Generative experiences
Connect image and speech models to create new kinds of creative experiences.
RAG & AI assistants
Build grounded answers with embeddings, retrieval, and conversational models.
GOOD TO KNOW
A few things before you start.
What is the difference between GPU Cloud and Model API?
GPU Cloud gives you dedicated GPU resources to run your own models and software. Model API lets you call available models without managing infrastructure. Choose either, or use both to suit your workload.
Can I use my existing OpenAI SDK?
Yes. We provide an OpenAI-compatible endpoint. Configure the API URL, your API key, and the model ID. Check the developer documentation for each model’s supported capabilities and request format.
Where can I find pricing?
The pricing page shows current GPU and model API rates. Check the console for final charges and available configurations. Prices are displayed in USD.
Can I launch a GPU on this website?
This is the official website for exploring products and models. GPU launch, API key creation, billing, and account management are available in the console.
COMPUTE WITHOUT BOUNDARIES
Your next AI. Starts with GIGACOMMA.
Start something bigger with the compute you need.