Private AI, powered by your NVIDIA GPU.

cudaweb runs powerful AI models locally with native CUDA acceleration, complete privacy and zero cloud dependency. Your GPU does the work. Your data stays on your machine, always.

Free plan available · For Windows and Linux on NVIDIA RTX and DGX systems

GPU-native AI

Enterprise-grade AI, running entirely on your hardware.

Tuned for CUDA from day one, so the NVIDIA GPU you already own does the work instead of a metered API.

CUDA native

Built from the ground up for NVIDIA GPUs. Inference runs on CUDA cores and Tensor Cores for maximum throughput.

Complete privacy

All AI processing happens locally on your GPU. Your prompts, files and outputs never leave your machine.

Blazing throughput

Quantized models, fused kernels and smart batching deliver fast token generation on consumer and workstation cards.

Model library

Browse open-source models matched to your VRAM, then download and run the best fit for your GPU in one click.

Local API

A local OpenAI-compatible API for your own scripts and tools, with no API bills or rate limits.

Built for sensitive work

Encrypted local storage, air-gapped operation, audit logging and role-based access for team deployments.

Capabilities

Everything you need to run private AI on your GPU.

CUDA acceleration

Every token on your NVIDIA GPU

Automatic detection of GPU, VRAM, driver and CUDA version. Tensor Core acceleration with FP16, INT8 and 4-bit quantization. Multi-GPU support to split large models across cards, smart VRAM management with CPU offload, and a live dashboard for utilization, memory and tokens per second.

AI chat

Powerful conversations, completely private

Run state-of-the-art open-source language models locally, with long-context conversations, multiple simultaneous chats, custom system prompts and personas, and conversation export and import.

Security

Built for sensitive workflows

Zero data sent to external servers, encrypted local storage for conversations, air-gapped operation, audit logging for compliance and role-based access for teams.

Workflow

Seamless desktop productivity

Document analysis and summarization, code generation and review, writing and editing, research synthesis, and a local OpenAI-compatible API for your own tools.

Use cases

Turn NVIDIA GPUs into private AI workstations.

01

For enterprises

Deploy private AI across your organization without sending sensitive data to third-party servers.

02

For developers

Prototype against a local AI endpoint on your own GPU with no API bills, rate limits or data leaving your machine.

03

For researchers

Benchmark and compare open models on your own hardware while keeping papers and datasets fully private.

04

For gamers & creators

Turn the RTX card you already own into a private AI assistant for writing, brainstorming and content creation.

Plans & pricing

Flexible plans for individuals and teams.

Free$0

Get started with local AI.

  • Basic language models
  • Single-GPU CUDA acceleration
  • 5 GB model storage
  • Single chat session
  • Community support
Get cudaweb free
EnterpriseCustom

For teams and organizations.

  • All Pro features
  • Team management
  • Audit logging
  • Custom model fine-tuning
  • Dedicated support
  • On-premise deployment
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On Macs? alphaweb does the same on Apple Silicon with MLX.