NewMiniMax-H3 is live. Compare it in the Video Arena

Recursive self-improving inference.

Best inference performance for every model on every hardware, found by agents that profile, tune and verify around the clock.

Optimized for
NVIDIA H100NVIDIA B200AMD MI355XGoogle TPUAWS Trainium
Heterogeneous GPU Cloud

NVIDIA GPUs are not
the only option.
We bring “CUDA” to every chip.

CUDA is the reason most teams never look past one vendor. TokenFactory gives AMD, TPU and Trainium the same thing: a mature software layer that makes your models fast from day one.

Write once, run on any chip

Your model runs unchanged on NVIDIA, AMD, TPU and Trainium. The engine handles what is different underneath.

Kernels written by agents

The loop writes, profiles and verifies the low-level kernels for each chip, the work that makes CUDA hard to leave.

Buy the capacity you can get

Pick the chip with the best price and availability, not the one your software is stuck on.

Models

Open-weight models.
One API call away.

Onboard a model and the agents find its fastest path on each chip. No hand-tuning, no per-model integration work.

MiniMax-H3

Live

Open-weight video+audio generation, optimized by the agents and served across our GPU fleet. Compare outputs in the Video Arena.

$0.06/sec at 768p · $0.08/sec at 2K

LTX-2.3 / 2.5

Coming soon

Lightricks' open-weight video model. LTX-2.3 is confirmed compatible with our serving stack and is next in line for optimization.

FLUX 3

Watching for open weights

Black Forest Labs' image/video/audio model. Currently API-only upstream. We'll optimize and host it as soon as open weights ship.

Private model deployment

Bring your own model.
We optimize it and deploy it.

Send us a fine-tuned or proprietary model. The agents find its fastest path, then we deploy it on our heterogeneous GPU cloud, or on yours.

Our GPU cloud

A heterogeneous fleet. Each workload runs on the chip where it is fastest and cheapest.

Your cloud

The same optimized stack, deployed on your own GPUs and inside your own network.

Any cloud · on-prem
How it works

AI that optimizes
itself.

Every pass through the loop profiles the stack, proposes a change, verifies it against the baseline and keeps what is faster. The same loop runs for every model and every chip.

  1. 01

    Bring a model

    Pick an open-weight model, or send us yours.

  2. 02

    Agents optimize it

    The loop profiles, tunes and verifies it on each target hardware.

  3. 03

    Serve at best performance

    Call one API and get the fastest, cheapest inference we found.

Agent loop

Agents profile, propose, verify and learn. Every pass is faster.

Every model × every hardware

One loop for every model and every chip. New ones plug in.

Platform

Best performance for every model for every chip.

One loop, tuned per model family. Agents find the fastest path for each workload on each chip.

Running onGoogle TPU
Agent 01Quantization
Profiling
Agent 02KV cache
Waiting
Google TPU1.0×Throughput vs. baseline
Agent 03Distillation
Waiting
Agent 04Speculative decoding
Waiting
Early access

Get the best performance
for your models.

We're onboarding teams that want the best inference performance for their models. Email us with who you are, what you run and on which hardware, and we'll be in touch.

contact@zeus.rocks