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@cerebras

Wafer-Scale AI Compute: Dedicated Silicon Architecture

By

@cerebras

–

28 May 2026 16h45

“This technology, this work would be big enough to require dedicated silicon… you needed to start with a clean sheet of paper and you needed to do something fundamentally different.”@andrewdfeldman joined @PeterDiamandis on MOONSHOTS to discuss wafer-scale AI compute, fast… pic.twitter.com/RNv3i2VTZL
— Cerebras (@cerebras) 28 mai 2026

“This technology, this work would be big enough to require dedicated silicon… you needed to start with a clean sheet of paper and you needed to do something fundamentally different.” @andrewdfeldman joined @PeterDiamandis on MOONSHOTS to discuss wafer-scale AI compute, fast

→ View original post on X — @cerebras,

28 May 2026
Cerebras Inference Speed Performance Across Model Types

By

@cerebras

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21 May 2026 21h43

"As people began integrating AI into their day-to-day work, speed became fundamentally important. And we were just crushed with demand. Is Cerebras inference faster for specific use cases? No, it's faster across the board. Big models, small models, U.S. models, Chinese models,

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21 May 2026
Fully Homomorphic Encryption: Breakthroughs in Speed and Adoption

By

@cerebras

–

06 May 2026 22h45

Fully homomorphic encryption was invented in the 1980s.

Why wasn't it adopted sooner? A 100,000x slowdown, driven by memory boundedness. Ajay Joshi from @CipherSonicAI explains how his team got it down to less than 2x.

(if this pattern sounds familar… LLM inference is… pic.twitter.com/gBVRMCBhBR
— Cerebras (@cerebras) 6 mai 2026

Fully homomorphic encryption was invented in the 1980s. Why wasn't it adopted sooner? A 100,000x slowdown, driven by memory boundedness. Ajay Joshi from @CipherSonicAI explains how his team got it down to less than 2x. (if this pattern sounds familar… LLM inference is

→ View original post on X — @cerebras,

6 May 2026
Cerebras Inference Ecosystem Update: Open Models, Cloud, and Integrations

By

@cerebras

–

05 May 2026 21h41

Cerebras inference ecosystem, updated: open-weight model families, cloud providers, integrations. https://
cerebras.ai/blog/ecosystem

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5 May 2026
Inference Speed: The Real Bottleneck for Browser Agents

By

@cerebras

–

29 April 2026 22h34

"Everyone wants faster agents. And you know what sucks… people think it's my fault. But it's actually the inference."@pk_iv, CEO of @Browserbase, sits down with @MilksandMatcha on why inference speed is the real bottleneck for browser agents, and why Browserbase + Cerebras… pic.twitter.com/5Aa83cjc0D
— Cerebras (@cerebras) 29 avril 2026

"Everyone wants faster agents. And you know what sucks… people think it's my fault. But it's actually the inference." @pk_iv
, CEO of @Browserbase
, sits down with @MilksandMatcha on why inference speed is the real bottleneck for browser agents, and why Browserbase + Cerebras

→ View original post on X — @cerebras,

29 April 2026
Cerebras and Cognition fastest inference event Miami

By

@cerebras

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17 April 2026 17h56

Join @cerebras and @cognition at @AIEMiami After Party on Tuesday April 21 to meet the team behind the world's fastest inference. RSVP link in comments. Be sure to catch Head of DevX @MilksandMatcha
's talk on latency debt if you're at AIE!

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17 April 2026
New AI Cookbook from Cerebras and P0 Partners

By

@cerebras

–

15 April 2026 22h58

New cookbook alert! 🚨

Presented by @zhennydez and @alyciazcary from @cerebras, in partnership with @khushi_shelat from @p0 https://t.co/WYxjEOD6Bd
— Cerebras (@cerebras) 15 avril 2026

New cookbook alert! Presented by @zhennydez and @alyciazcary from @cerebras
, in partnership with @khushi_shelat from @p0

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15 April 2026
Zero-Latency Inference Transforms Engineer Workflows at OpenAI

By

@cerebras

–

15 April 2026 17h59

"I used a billion tokens this week. I'm not even in the top 100 Codex users at OpenAI."

We sat down with @jxnlco (creator of Instructor, now on @OpenAI's Developer Experience team) to talk about how zero-latency inference is changing the way engineers work. pic.twitter.com/PDyHtYRXec
— Cerebras (@cerebras) 15 avril 2026

"I used a billion tokens this week. I'm not even in the top 100 Codex users at OpenAI." We sat down with @jxnlco (creator of Instructor, now on @OpenAI
's Developer Experience team) to talk about how zero-latency inference is changing the way engineers work.

→ View original post on X — @cerebras,

15 April 2026
SWE-1.6 Windsurf: 950 tokens/s code model

By

@cerebras

–

14 April 2026 1h48

Some of us are still writing code. We just want to find our functions faster. SWE-1.6 on @windsurf, runs at 950 tokens/s, powered by Cerebras. For the real ones. 👊 pic.twitter.com/gjLCcthDzF
— Cerebras (@cerebras) 13 avril 2026

Some of us are still writing code. We just want to find our functions faster. SWE-1.6 on @windsurf
, runs at 950 tokens/s, powered by Cerebras. For the real ones.

→ View original post on X — @cerebras,

14 April 2026
Cafe Compute Expands Globally with AI Developer Events

By

@cerebras

–

11 April 2026 2h20

Cafe Compute went global this week Two cities. Two continents. One big chip. This week Cafe Compute hit San Francisco for @HumanXCo and London at @OpenAI
's office for @aiDotEngineer Europe — fueling developers with coffee and the fastest AI on the planet. Next stop: Miami

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11 April 2026

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