DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.
Tech Times

Qualcomm Closes $3.9 Billion Modular Deal: Meta Validates Full-Stack CUDA Challenge

Qualcomm confirmed a $3.92 billion all-stock deal to buy AI software startup Modular, paired with a Meta Platforms CPU ...

OpenAI unveils first custom AI inference chip, Jalapeño, with Broadcom — and its development was sped-up with OpenAI's own models

The companies attributed this speed to a deep software-hardware co-development process that actively used OpenAI’s own models ...
IEEE

Characterizing Cloud-Native LLM Inference at Bytedance and Exposing Optimization Challenges and Opportunities for Future AI Accelerators

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 ...
The Next Platform

Tensordyne Converts AI Matrix Math To Logs To Crank Up Inference Oomph

Right off the bat, let’s give a shout out to the mathematician propeller-heads who create the transformations that make it possible to do all kinds of high performance computing to simulate, model, ...
GitHub

MCP server for Unreal Engine that uses Unreal Python Remote Execution

This server does not require installing a new UE plugin as it uses the built-in Python remote execution protocol. Adding new tools/features is much faster to develop ...