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

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

Today we're going to take a closer look at Mid-Cap Technology company Sunrun, whose shares are currently trading at $18.72. We've been asking ourselves whether the company is under or over valued at ...

In large-scale inference, long contexts, and agentic AI, if there is not enough memory, the model cannot be loaded, intermediate calculation results cannot be maintained, latency increases, and ...

Sail Research has raised $80m to make AI agents cheaper to run. The startup, founded by ex-Apple and ex-NVIDIA engineers, says it can serve the tokens agents burn through at up to 10 times lower cost.

Broadcom (AVGO) and OpenAI (OPENAI) revealed the fruits of its partnership today with Jalapeño, a new chip designed specifically to run inference for large language models. Broadcom shares inched up 0 ...

OpenAI and Broadcom have unveiled "Jalapeño," a custom chip built specifically for large language model inference. OpenAI says the architecture delivers better performance per watt. Development took ...

Eight months after announcing a custom chip deal, OpenAI and Broadcom are revealing their first joint project: Jalapeño. The companies are calling it an "Intelligence Processor" and describe it as the ...

Running a model with roughly 744 billion parameters is not something you do on a single graphics card. Virtuals Protocol just partnered with Leyten to make sure it doesn’t have to. The AI agent ...

ZINC is the fastest measured local AI engine for AMD GPUs in our current suite. On the Radeon AI PRO R9700, it beats llama.cpp on all five published models: decode, prefill, end-to-end, and overall.

Abstract: As a major provider of LLM inference services, ByteDance has continuously explored diverse accelerator options to meet the rapidly growing inference demands of various heterogeneous LLM ...