Get access to faster inference on every chip you run.
yasp’s agents optimize your models for your target hardware, from data center GPUs to robots and vehicles. Share your setup and book a call with our team in one go.
Runs on NVIDIA, AMD, AWS Trainium and more
From your setup to the platform
in three steps.
Share your setup
Tell us which models you run and on what hardware. It takes two minutes.
Talk to our team
Book a 30-min call right in the form. An engineer walks through your models, targets and baseline with you.
Get access to the platform
We set you up with your model on your target hardware, and every result is measured on the real chip.
Built for teams shipping AI to real hardware.
Cloud and edge in one pipeline
From data center GPUs to robots and vehicles. One workflow for every target.
Your hardware, your choice
Not tied to one chip vendor. Change the target, keep the model.
Measured on the real chip
Every result is checked against your original model, on the device it runs on.
Published impact.
Up to 80%
speedup on open LLMs
Months → hours
to deploy optimized models on your hardware
300+
model binaries open sourced
Impact studies
autonomous-systems
Yasp and AMD: Unlocking High-Performance AI Inference on AMD Radeon™ PRO V710 GPUs
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Validated on real hardware from AMD, NVIDIA, and Amazon
Questions engineers ask first
You book your call straight away. In 30 minutes, an engineer goes through your models, targets and current baseline, and you leave with a clear next step.
No. Bring a PyTorch model and a target. yasp works with your existing code and training setup.
NVIDIA, AMD and AWS Trainium today, in the cloud and at the edge. Support for more silicon is in development.
License the tooling, or buy the optimized model. We’ll scope what fits your models and targets on the call.
