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@andrewdfeldman
CEO and Founder @Cerebras (NASDAQ: CBRS) where we build the fastest AI infrastructure in the world.
AI
Cerebras’ CTO describes fitting the full model into on-chip memory and mapping it across multiple chips.
XAI
Cerebras says the planned addition would give Oracle Cloud customers another option for AI applications where speed matters.
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The article's author uses open-source Kimi K3, with roughly 3 trillion parameters, to illustrate the approach.
AI
At TechCrunch Disrupt, a Cerebras speaker said he couldn't predict how his grandkids will use AI.
AI
XBOW Labs says Google awarded the chain the first $250,000 Chrome full-chain reward under rules introduced in April 2026.
AI
A post quotes Apollo's chief economist on diverging growth forecasts; another argues early-market demand is often underestimated.
AI
A post describes creating jobs and including local communities as part of Cerebras' approach to building data centers.
AI
Harry Stebbings quotes Chase Lochmiller saying his team made a power distribution center in 28 weeks despite a 100-week lead time.
AI
A Cerebras team member says the company had 30 employees and no product or revenue when it pitched TSMC.
AI
SemiAnalysis claims the model is running at a low batch size on Nvidia GPUs and asks whether Cerebras might serve it later.
AI
A user reports taking 37 seconds themselves on the same task, while listing four other AI assistants at 4 minutes 36 seconds to 14-plus minutes.
AI
A playful post contrasts two “beautiful creatures,” pairing a claimed token speed with a counterpart that “runs on hay.”
AI
One post argues that the real AI competition is about who gets megawatts online first, rather than the debate over models.
AI
“Buckle up,” a post declares, touting Cerebras as bringing users “the fastest AI in the world.”
AI
A post argues that AI speed can trump intelligence in some domains once the intelligence is good enough.
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A post argues that speed makes AI productive and enjoyable, and claims Cerebras is the fastest in the world.
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Uncapped’s host says the episode with Andrew Feldman and Eric Vishria explores Cerebras’ winding path and hardware investing. The host also highlights a basic question he asked: “How do we get from sand to a ChatGPT answer?”
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Feldman argues that companies laying off engineers because of AI are “short on imagination,” framing the technology as a way to build more rather than cut staff.
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The Qwen team touts rapid inference for the model and invites users to try it.
