GPU-class performance – The Gemini-I APU delivered comparable throughput to NVIDIA’s A6000 GPU on RAG workloads. Massive energy advantage – The APU delivers over 98% lower energy consumption than a ...
When a videogame wants to show a scene, it sends the GPU a list of objects described using triangles (most 3D models are ...
An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...
Artificial intelligence (AI) is expanding rapidly to the edge. This generalization conceals many more specific advances—many kinds of applications, with different processing and memory requirements, ...
TL;DR: South Korean memory rivals SK hynix and Samsung team up to expedite LPDDR6-PIM (Processing-In-Memory) technology for the future of on-device AI. SK hynix and Samsung are massive memory rivals ...
Agentic AI is driving a major transformation in computing, enabled by more powerful processors and new semiconductor manufacturing techniques. Traditional single-chip architectures are reticle-limited ...
Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...
TL;DR: NVIDIA's Rubin CPX GPU, launching in late 2026, delivers 30 PetaFLOPS of NVFP4 compute with 128GB GDDR7 memory, optimized for massive-context AI models and long-format video processing.
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