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OPEN SOURCE. OPEN POSSIBILITIES.

Intelligence,
on your terms.

Your ideas deserve room to run. Atlas brings powerful AI to your own hardware, so you can build freely, move faster, and stay in control.

Pure Rust. GPU native. Yours to run.
+LESS BETWEEN
IDEA AND INTELLIGENCE.
ATLAS / 01

OPEN MODELS.
WIDE-OPEN POSSIBILITIES.

Qwen
Gemma
Nemotron
Mistral
Explore supported models

Big ideas.
No permission needed.

The next wave of AI belongs to the people building it. We’re putting the engine in your hands.

01

Stay in your flow.

Ideas move fast. Your engine should keep up. Rust and custom GPU kernels bring your models closer to the hardware.

Explore the performance
02

Own your next move.

Your models, on your infrastructure. Keep control of where intelligence runs and how it fits into your world.

Find your setup
03

Build without the black box.

See how it works. Shape what comes next. Atlas is open source, with the code, recipes, and benchmarks out in the open.

Get to know the code

What will you
set in motion?

A better assistant. A bolder experiment.
That thing you can’t stop thinking about.
Give it an engine.

Give your agents room to think.

From the first instruction to the next tool call, keep the work moving. Build coding copilots and multi-step workflows on an engine that speaks your language.

  • Tool calling
  • Streaming responses
  • OpenAI-compatible API
Explore the documentation
AGENT WORKFLOWILLUSTRATIVE FLOW
Turn a big idea into a working prototype.
Powered by Atlas
  1. Understand the goal
  2. Call the right tools
  3. Keep the conversation moving
From “what if” to what’s next.
YOUR APPLICATIONATLASYOUR HARDWAREA direct line to possibility.

Confidence,
built right in.

Big promises need something solid underneath. Atlas publishes its benchmarks, names the hardware, and checks every release against a committed baseline.

See the work behind the numbers
PUBLISHED GB10 BENCHMARK
1.225×

More throughput at 128 concurrent requests.

Atlas478.11 tok/s
vLLM390.42 tok/s

unsloth/Qwen3.8-27B-NVFP4 · NVIDIA GB10 Grace Blackwell, 121.7 GB unified · mean tok/s over 3 timed reps (1 warmup discarded) · 128 input / 1,024 output tokens. Compared with the faster published vLLM configuration at C=128, with different cache/context settings. Full methodology ↗

THE FUTURE IS OPEN. MAKE IT YOURS.

+

Your next big thing
starts here.

Bring your curiosity.
We’ll bring the engine.

Open source under AGPL-3.0 Verified on NVIDIA DGX Spark OpenAI-compatible API