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IFAI

Cerebras

Company6 stories

  1. AI modelsReach 55

    OpenAI supercharges GPT-5.6 Sol with 750 tokens-per-second Ultrafast tier

    OpenAI just rolled out Ultrafast mode for GPT-5.6 Sol, a new API tier powered by Cerebras chips that outputs up to 750 tokens per second—making it roughly 14 times faster than standard processing. Instead of sacrificing intelligence for speed by dropping to tiny models, teams can now run frontier-class AI on real-time incident response and financial workflows. It is currently available in a limited preview.

  2. AI modelsReach 50

    Cognition drops SWE-1.7, its bargain coding powerhouse

    Cognition just launched SWE-1.7, an in-house model purpose-built for its Devin software engineering agent. Trained on top of China's open-source Kimi K2.7 base, it approaches GPT-5.5 and Claude Opus benchmarks at a fraction of the compute cost. It is already live across Devin via Cerebras, serving inferences at a blazing 1,000 tokens per second.

  3. AI toolsReach 42

    OpenAI adds WebSockets to its API, cutting agent lag by 40%

    OpenAI just rolled out WebSocket mode for its Responses API, tackling the cumulative network and validation overhead that drags down fast agent loops. By keeping a persistent connection and caching previous response states in memory, end-to-end latency drops by up to 40% with a 45% faster time to first token. Coding tools like Cursor and Vercel are already clocking major speedups.

  4. IndustryReach 50

    OpenAI's $20B bet on Cerebras chips

    OpenAI just agreed to spend over $20 billion on Cerebras-powered servers over the next three years, doubling a prior deal to meet surging inference demand. OpenAI is also contributing $1 billion for data centers in exchange for warrants that could yield up to a 10% equity stake, giving Cerebras massive momentum ahead of its planned Q2 IPO.

  5. AI modelsReach 61

    OpenAI rolls out ultra-fast Codex-Spark for real-time coding

    OpenAI just launched GPT-5.3-Codex-Spark, a lightweight coding model powered by Cerebras chips that outputs over 1,000 tokens per second. Built for instantaneous, interactive edits rather than autonomous background tasks, it cuts roundtrip latency by up to 80%. ChatGPT Pro users can take it for a spin today inside Codex and VS Code.

  6. AI modelsReach 56

    Perplexity’s new Sonar model hits 1,200 tokens per second

    Perplexity just rolled out a new version of its in-house Sonar model, powered by Cerebras chips to generate answers at a blazing 1,200 tokens per second. Built on Llama 3.3 70B, it beats GPT-4o mini and Claude 3.5 Sonnet in user satisfaction testing while answering almost instantly. It is now live for Pro subscribers.