Nvidia's $20bn Groq gamble pays off with low-latency AI chip integration

Nvidia integrates Groq's language processing units into Vera Rubin at GTC 2026, delivering ultra-low latency for AI inference—but specialisation comes with trade-offs.

The Daily Perspective

LLMs don't run out of compute first… they run out of memory. 🤯🧠
KV cache, memory tiering, and shared storage are reshaping the economics of AI inference. I break down what's happening inside systems like vLLM + LMCache.

Read more: https://bit.ly/4bl87kn

#AIInference

Nvidia faces a reckoning on token speed at GTC 2026

Nvidia faces questions about integrating Groq's token-speed technology. Can the $20B acquisition close the latency gap with competitors?

The Daily Perspective

Corey Sanders, Senior Vice President of Product at #neocloud provider CoreWeave, leads product strategy and execution for the company. His mission: Gain enterprises' trust for #CoreWeave's #AIcloud services. The challenge: slower-than-expected #enterpriseAI adoption so far and skyrocketing demand for #AIinfrastructure, including data center power and water resources.

In today’s episode, we’ll cover…

-- The shift from model building to #AIinference

-- The potential effect of reinforcement learning on #AIaccuracy

-- CoreWeave's new ARENA AI lab

-- NeoCloud architectures take on "#RAMageddon"

and more!

https://www.youtube.com/watch?v=eY3d5yFpKr8

IT Ops Query: CoreWeave neocloud makes AI pitch to enterprises

YouTube

SK hynix and Sandisk want HBF to become the missing memory layer for AI inference

https://fed.brid.gy/r/https://nerds.xyz/2026/02/sk-hynix-sandisk-hbf-ai-inference-memory/