LiteRT.js runs machine learning models locally with CPU, GPU and emerging NPU acceleration, potentially reducing server infrastructure, inference charges and data movement.

Google LiteRT.js, released July 9, 2026, brings native browser AI inference to web developers by compiling Google's proven ...

A year ago the Ryzen AI Halo, AMD's tiny new AI workstation, would have offered devs and machine learning enthusiasts an ...

Furiosa AI plans to more than double production of its second-generation RNGD inference chip as the company prepares its next ...

Microsoft confirms WSL Container works on Windows 10. We installed it, built a live dashboard, and tested GPU passthrough, no ...

After developers train an AI model using Prime Intellect’s platform, they can deploy it on inference infrastructure managed ...

NVIDIA Ising decoder cuts colour-code logical error rates 347.7× in simulations while running 7.33× faster than Chromobius.

I’ve received one of AMD’s first official AI developer boxes for testing, and it’s an impressive piece of AI hardware with a ...

Spectral Compute was founded in 2018 by four engineers with about 60 years of combined HPC optimization experience. The ...

CBRS' wafer-scale AI chip story is gaining cloud and partner traction, but delivery obligations, margin pressure and ...

OXMIQ Labs Inc., a unified GPU and AI architecture company founded by Raja Koduri, today closed its $35 million Series A ...

Thinking Machines Lab Inkling launches as the largest US-built open-weight AI model — a 975-billion-parameter multimodal ...