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High performance inference.
Any model. Any hardware.
No compromise.

ZML simplifies model serving,
ensuring peak performance and maintainability in production.

Your NVIDIA GPUs,

your way.

Deploy your models on any hardware. ZML optimizes performance across all major accelerator platforms.

$
NVIDIA

NVIDIA

AMD

AMD

Google TPU

Google TPU

AWS Trainium

AWS Trainium

AI Framework, batteries included

ZML primitives are reusable, self-contained, and modular. When combined, they compound to help you run faster.

Python-free

Production demands precision, not hacks. ZML is written without any Python code in the stack, it’s clean, robust, and built for production.

Very, very high-performance

Every line of code delivers—no overhead, just raw speed.

Highly expressive

Code that’s as easy to read as it is to trust.

Truly hardware agnostic with no compromise

Switch hardware with a single command, with no compromises.

Build once, run everywhere … delivered

Delightful experience, it just works!

Open-source

We are building the future of AI inference with you.

Scale your Inference stack
without compromising  

Fastest Inference

Unmatched performance with the fastest LLM server—latency and throughput you can rely on.

Fastest to start

We deploy the smallest image sizes, so you can scale from zero to production in seconds, not minutes.

Easiest to use and deploy

Kubernetes ready made deployment, Sagemaker container, or bare metal package, deploy seamlessly on your infrastructure. Keep your usual tool, our API is OpenAI compatible.

Easiest to operate

Prometheus built-in stack for easy monitoring. Run with predictable, and flat latency, every time.

Lowest TCO

Spend reduced by multiples, and predictable.

No more vendor lock-in

Run your models anywhere—any cloud, multicloud, any hardware, without compromise. Be flexible, change at ease.

Running Inference in production shouldn’t come at the cost of your sanity.