Global AI News Aggregator
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☕ Thanks to everyone who grabbed coffee with us this morning.
— Cerebras (@cerebras) 16 mars 2026
🟧 The big chip is just getting started.
See you around! pic.twitter.com/CTZdbI5GwW
☕ Thanks to everyone who grabbed coffee with us this morning. 🟧 The big chip is just getting started. See you around!
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We're teaming up with @cerebras to build the fastest possible inference. Coming soon to Amazon Bedrock, we’re delivering inference performance an order of magnitude faster than what’s available today by connecting AWS Trainium3 for compute-intensive prefill with Cerebras CS-3 to power decode. Learn more about the partnership. go.aws/3Pzcota
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Our coding workflows were designed to accommodate slow inference. @OpenAI's Codex Spark powered by @cerebras changes the game.
— Cerebras (@cerebras) 12 mars 2026
Here's how we make the most out of 1,200 tokens per second, with @MilksandMatcha. pic.twitter.com/vv4a80wfFA
Our coding workflows were designed to accommodate slow inference. @OpenAI's Codex Spark powered by @cerebras changes the game. Here's how we make the most out of 1,200 tokens per second, with @MilksandMatcha.
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I gave both Codex and Claude Code full access to my twitter account.
— Sarah Chieng (@MilksandMatcha) 10 mars 2026
Codex spark (powered by Cerebras) did a full GTM outreach workflow 3x FASTER than Claude code, and used way less tool calls. pic.twitter.com/DcEgI9x23j
I gave both Codex and Claude Code full access to my twitter account. Codex spark (powered by Cerebras) did a full GTM outreach workflow 3x FASTER than Claude code, and used way less tool calls.
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AI isn’t just evolving. It’s scaling. And the infrastructure behind it is redefining what’s possible. @SarahChieng, Head of Developer Experience at @Cerebras, works with the engineers building the systems training the world’s largest AI models. Hear her speak at @aiconference