Rent an LLM in a private loop

Open-weight models on Qudata GPUs: a flat hourly rate instead of paying per token.

Pick a model and we bring it up on a matching GPU behind an OpenAI-compatible API. Prompts and data never leave the rented server, there is no cap on requests, and you pay only for GPU hours.

Qwen2.5 7B

By Alibaba Qwen

Fast general-purpose model

Runs on 1x V100~28 tok/s

Deploy

Qwen2.5 32B

By Alibaba Qwen

All-rounder for complex tasks

Runs on 1x RTX5090~38 tok/s

Deploy

Qwen2.5 72B

By Alibaba Qwen

Flagship general-purpose model

Runs on 1x A100~22 tok/s

Deploy

Llama 3.1 8B

By Meta

Reliable conversational model

Runs on 1x V100~28 tok/s

Deploy

Llama 3.3 70B

By Meta

Flagship for complex tasks

Runs on 1x A100~22 tok/s

Deploy

Qwen2.5 Coder 7B

By Alibaba Qwen

Fast coding assistant

Runs on 1x V100~28 tok/s

Deploy

Qwen2.5 Coder 32B

By Alibaba Qwen

Model for complex coding

Runs on 1x RTX5090~38 tok/s

Deploy

DeepSeek-R1 7B

By DeepSeek

Compact reasoning model

Runs on 1x V100~28 tok/s

Deploy

DeepSeek-R1 32B

By DeepSeek

Powerful reasoning model

Runs on 1x RTX5090~32 tok/s

Deploy

DeepSeek-R1 70B

By DeepSeek

Flagship reasoning model

Runs on 1x A100~22 tok/s

Deploy

Mistral 7B

By Mistral AI

Fast foundational model

Runs on 1x V100~28 tok/s

Deploy

Mixtral 8x7B

By Mistral AI

Fast mixture-of-experts model

Runs on 1x A100~55 tok/s

Deploy

Gemma 2 9B

By Google

Compact model for text

Runs on 1x V100~28 tok/s

Deploy

Gemma 2 27B

By Google

Conversation and editing

Runs on 1x RTX5090~42 tok/s

Deploy

Phi-4 14B

By Microsoft

Maths and reasoning

Runs on 1x RTX4090~55 tok/s

Deploy