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thenextweb
Fractile raises $220m to take its in-memory-compute inference chip into production

Accel led the London chip startup’s round, with Pat Gelsinger joining as an angel investor, weeks after Anthropic was reported to be in early discussions to become a customer. Fractile, the London-based startup designing inference chips that put compute and memory on the same die, has raised $220 million to take its hardware to production, […]
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venturebeat
Cerebras stock nearly doubles on day one as AI chipmaker hits $100 billion

<p><a href="https://www.cerebras.ai/">Cerebras Systems</a>, the Silicon Valley chipmaker that built the world&#x27;s largest commercial AI processor, erupted onto the N [...]

Match Score: 202.92

venturebeat
5% GPU utilization: The $401 billion AI infrastructure problem enterprises

<p>For the last 24 months, one narrative justified every over-provisioned data center and bloated IT budget: the GPU scramble. Silicon was the new oil, and H100s traded like contraband. Reserve [...]

Match Score: 145.74

venturebeat
Together AI's ATLAS adaptive speculator delivers 400% inference speedu

<p>Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can&#x27;t keep up with shifting workloads.</p><p>Speculat [...]

Match Score: 118.49

venturebeat
Baseten takes on hyperscalers with new AI training platform that lets you o

<p><a href="https://www.baseten.co/"><u>Baseten</u></a>, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product [...]

Match Score: 115.18

venturebeat
Inference is splitting in two — Nvidia’s $20B Groq bet explains its nex

<p>Nvidia’s $20 billion strategic licensing deal with Groq represents one of the first clear moves in a four-front fight over the future AI stack. 2026 is when that fight becomes obvious to en [...]

Match Score: 107.78

venturebeat
Train-to-Test scaling explained: How to optimize your end-to-end AI compute

<p>The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use infe [...]

Match Score: 100.40

venturebeat
Perplexity AI unveils hybrid local-cloud inference system at Computex 2026

<p><a href="http://perplexity.ai">Perplexity AI</a>, the fast-growing search startup now <a href="https://techcrunch.com/2025/09/10/perplexity-reportedly-raised-200 [...]

Match Score: 96.22

venturebeat
Breaking through AI’s memory wall with token warehousing

<p>As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not models. Memory.</p><p> [...]

Match Score: 95.44

venturebeat
A 0.12% parameter add-on gives AI agents the working memory RAG can't

<p>AI agents forget. Every time a coding assistant loses track of a debugging thread, or a data analysis agent re-ingests the same context it already processed, the team pays in latency, token c [...]

Match Score: 94.74