Semiconductor Engineering

AI Inference Needs A Mix-And-Match Memory Strategy

Interactive LLMs (chat, copilots, agents) with strict latency targets Long‑context reasoning (codebases, research, video) with massive KV (key value) cache footprints Ranking and recommendation models ...
Digi Times

Explainer: Why Nvidia's Groq LPU runs on Samsung silicon— Groq's scale and inference strategy

Nvidia CEO Jensen Huang highlighted at GTC 2026 that AI has shifted from early model training to an era defined by inference and agent computing. To meet growing inference demands, Nvidia integrated ...
News9Live on MSN

Google explores new TPU designs with Marvell for AI inference push

Google is exploring a new AI chip strategy with Marvell to improve inference performance and manage rising costs. The plan ...
Geeky Gadgets

NVIDIA Buys Groq for $20B : Licensing Pact, Faster Inference Chips & CUDA Support Ahead

What does a $20 billion acquisition mean for the future of AI hardware? That’s the question on everyone’s mind as NVIDIA, a titan in the tech world, officially acquires Groq, a rising star in AI ...