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‘Inference Speed Makes Markets Bigger,’ says Cerebras CEO

AMD is teaming up with Cerebras on a new server designed to slash response times, taking direct aim at Nvidia and promising some of the fastest AI systems on the market. Cerebras CEO Andrew Feldman explains how the partnership works, why speed is becoming the next battleground in AI infrastructure, and what it means for…

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AMD is teaming up with Cerebras on a new server designed to slash response times, taking direct aim at Nvidia and promising some of the fastest AI systems on the market. Cerebras CEO Andrew Feldman explains how the partnership works, why speed is becoming the next battleground in AI infrastructure, and what it means for the rapidly evolving AI chip market. He joins Ed Ludlow on “Bloomberg Tech.”
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5 Comments

5 Comments

  1. @mMorPG13

    July 24, 2026 at 4:18 pm

    This guy just a pipedream with no actual product.

  2. @briancase6180

    July 24, 2026 at 4:50 pm

    “they have an enormous backlog.” Yet, somehow, AMD will be able to send Helios systems to your Cerebras cloud rather than the customers who created that “enormous backlog.” Hmmm, maybe their backlog isn’t as big as we thought…. And, “we don’t depend on HBM,” instead, we depend on the literal MOST EXPENSIVE MEMORY IMAGINABLE, on-chip SRAM. And, we depend on whole-wafer integration, also the most expensive fabrication imaginable. Look, they can run small models and small parts of large models very fast. But you have to ask “at what cost?” And the cost is VERY HIGH. Prohibitively high. If you ask me, Cerebras is paying AMD full price for the Helios systems they’ll be getting. So, yes, they *are* using HBM because Helios uses GOBS of HBM, way more than Nvidia. Which makes Helios one of the most expensive systems you can use. Etc. You get the idea. Just be informed, that’s all I ask.

  3. @dwiss2556

    July 24, 2026 at 6:29 pm

    For the non-techies: Inference is the actual result of the AI thinking. The output. The part that every company currently points to in their Terms of Services as this:

    ‘We cannot guarantee that answers, services, or other output from this device will be accurate, reliable, appropriate, or complete. It is your obligation to verify the accuracy and appropriateness of any answers or other output and to use your own human judgment, particularly when it involves matters having a legal or material impact on you, such as, for example, health, medical, legal, education, safety, insurance, financial, housing, or employment matters.’

  4. @Very_generic_username

    July 24, 2026 at 7:34 pm

    How big can their chip scale tho. If the full model + context can’t fit within a single chip you’re just interface limited.

  5. @plpk

    July 25, 2026 at 5:52 am

    2:57 that’s what she said

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Bloomberg Technology

Power On: How Private Is an Always-Listening Apple Watch?

Apple is bringing some its most ambitious AI capabilities to its products. As AI becomes increasingly woven into daily life, questions over privacy are likely to follow. On this episode of the Power On podcast, Mark Gurman and Vlad Savov discuss privacy implications of new always-listening Apple Watch features. ——– Like this video? Subscribe to…

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Apple is bringing some its most ambitious AI capabilities to its products. As AI becomes increasingly woven into daily life, questions over privacy are likely to follow.

On this episode of the Power On podcast, Mark Gurman and Vlad Savov discuss privacy implications of new always-listening Apple Watch features.
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AI Policy Moves From Washington to the States

AI emerged as a major issue in the midterm elections, but what that means for policy — and the massive data center buildout — remains uncertain. Atlantic Council senior fellow and former Federal Reserve System Chief Innovation Officer Sunayna Tuteja discusses why states could play an increasingly important role in data center policy, and argues…

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AI emerged as a major issue in the midterm elections, but what that means for policy — and the massive data center buildout — remains uncertain. Atlantic Council senior fellow and former Federal Reserve System Chief Innovation Officer Sunayna Tuteja discusses why states could play an increasingly important role in data center policy, and argues regulation and innovation don’t have to be at odds as the US competes with China. She joins Tim Stenovec on “Bloomberg Tech.”
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Bloomberg Technology

Tech Stocks Rebound as Dip Buyers Return to AI Trade

Bloomberg’s Tim Stenovec takes a look at what’s driving a rebound in tech stocks as dip buyers step in to support the battered AI trade. Plus, Anthropic’s IPO plans are hit by the post-election selloff, prompting prospective investors to rethink the company’s expected valuation; and the CEOs of Lyft and DraftKings join to break down…

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Bloomberg’s Tim Stenovec takes a look at what’s driving a rebound in tech stocks as dip buyers step in to support the battered AI trade. Plus, Anthropic’s IPO plans are hit by the post-election selloff, prompting prospective investors to rethink the company’s expected valuation; and the CEOs of Lyft and DraftKings join to break down their earnings results.

00:00:00 – Bloomberg Tech Begins
00:01:16 – Ryan Vlastelica on Data center stock rebound
00:04:15 – Seth Fiegerman on Anthropic IPO Valuation $1.2T
00:06:40 – Michael Monaghan, Founder ETFs on Anthropic IPO
00:13:52 – Natalia Kniazhevich on Nasdaq-100 sheds market value
00:16:45 – David Risher, Lyft CEO on 3Q earnings
00:24:36 – Hema Parmar on tech selloff
00:28:59 – Maggie Eastland on AI companies brace for fallout after elections
00:31:02 – Sunayna Tuteja, Atlantic Council’s Geoeconomics Center on Data Center Backlash
00:37:57 – Jason Robins, DraftKings CEO on 3Q earnings
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“Bloomberg Technology” is our daily news program focused exclusively on technology, innovation and the future of business hosted by Ed Ludlow from San Francisco and Caroline Hyde in New York.

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