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  1. A6 a6-051 · Cerebras:Blog

    Cerebras: Fast Inference Finds Its Rhythm

    Cerebras looks back at 2025: DeepSeek R1 Llama 70B runs at over 1500 tokens/second on its chips, about 57 times that of GPUs; independent testing by Artificial Analysis shows its inference performance exceeds NVIDIA Blackwell's record. Cognition's SWE-1.5 and SWE-grep series achieve frontier-level coding performance at up to 13 times the speed of general-purpose models. Cerebras has launched a 40+ exaflop data center in Oklahoma and is deploying more than 7 data centers across North America and Europe.

    s looks back at 2025: DeepSeek R1 Llama 70B runs at over 1500 tokens/second on its chips, about 57 times that of GPUs; independent testing by Artificial Analysis shows its inference performance exceeds NVIDIA Blackwell's record. Cognition's SWE-1.5 and SWE-grep series achieve frontier-level coding performance at up to 13 times the speed of general-purpose models. Cerebras has launched a 40+ exaflop data center in Oklahoma and is deploying more than 7 data centers across North America and Europe.

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  2. A6 a6-047 · Baseten Engineering Blog

    Baseten Engineering Blog News Roundup: Partnership with OpenAI, GLM-5.2 Fast Launch

    Baseten announced a partnership with OpenAI and launched GLM-5.2 Fast. Its blog also lists several updates: fine-tuning with Baseten Loops based on LangSmith traces, LangChain training a custom model for LangSmith Engine, Blaxel joining Baseten to build agent infrastructure together, as well as NVIDIA OpenShell and Blaxel sandboxes, Sheila Vashee appointed as CMO, and completion of Series F financing.

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  3. A6 a6-047 · Baseten Engineering Blog

    Baseten Engineering Blog AI Models Article List

    The AI Models section of the Baseten Engineering Blog brings together multiple articles on models and inference engineering, including NVIDIA Nemotron 3 Diarization, which achieves real-time speaker labeling at one cent per audio hour; DeepSeek-V4.1-Flash, which offers more efficient prefill for coding agents; and introductions to new models such as NVIDIA Nemotron 3.5 Lightning, Nemotron 3.5 ASR Streaming, and Nemotron 3 Embed. It also covers topics such as GLM-5.3 post-training scaling, GLM 5.2 vision capabilities, Laguna S 2.1, and recommendations for open-source post-trained models.

    The AI Models section of the Baseten Engineering Blog brings together multiple articles on models and inference engineering, including NVIDIA Nemotron 3 Diarization, which achieves real-time speaker labeling at one cent per audio hour; DeepSeek-V4.1-Flash, which offers more efficient prefill for coding agents; and introductions to new models such as NVIDIA Nemotron 3.5 Lightning, Nemotron 3.5 ASR Streaming, and Nemotron 3 Embed. It also covers topics such as GLM-5.3 post-training scaling, GLM 5.

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  4. A6 a6-047 · Baseten Engineering Blog

    Baseten Engineering Blog Community Articles Roundup

    The Baseten Engineering Blog Community section brings together multiple articles, covering topics such as open-source inference for You.com, AI model selection lessons from Notion and Gamma, inference in the era of continual learning, model fine-tuning and a conversation with Hollywood, the Baseten inference stack at NVIDIA Dynamo Day, and building agents on Baseten with LangChain Agent Builder + GLM 4.7.

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  5. The Verge AI

    AI executives respond to Trump's new safety plan: six companies sign self-regulation pledge

    After meeting with tech leaders on Tuesday, Trump responded to reporters' questions, saying that his earlier remarks calling AI safety concerns a Democratic Party hoax no longer apply, because the technology has been renamed Super Intelligence. He is no longer pushing for federal AI regulation; instead, he had six tech leaders—Sundar Pichai of Google, Dario Amodei of Anthropic, Mark Zuckerberg of Meta, Greg Brockman of OpenAI, Elon Musk of xAI, and Jensen Huang of Nvidia—sign the Joint Commitment on Frontier Responsibilities, a morally binding safety pledge that requires each company to self-regulate AI technology under common-sense guidelines, and it appears to carry no consequences for breach. All six signatories, at Trump's request, offered comments praising the self-regulation plan as helpful for advancing AI technology, creating jobs, and easing the public's negative views on AI safety.

    ation; instead, he had six tech leaders—Sundar Pichai of Google, Dario Amodei of Anthropic, Mark Zuckerberg of Meta, Greg Brockman of OpenAI, Elon Musk of xAI, and Jensen Huang of Nvidia—sign the Joint Commitment on Frontier Responsibilities, a morally binding safety pledge that requires each company to self-regulate AI technology under common-sense guidelines, and it appears to carry no consequences for breach. All six signatories, at Trump's request, offered comments praising the self-regulati

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