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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.
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
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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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The Baseten engineering blog has released new MCP and Skills for coding agents, enabling coding agents to use Baseten directly. The blog also covers how to run any open-source model in DeepSeek Harness, fine-tuning Qwen3-TTS for high-quality voice cloning, and running Kimi K3, GLM-5.2, and more in any harness.
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Baseten made inference for pyannote's speaker diarization model 9.6x faster. The blog also covers delta weight synchronization optimizations for hosted RL rollouts, Baseten leading in the Coval voice AI benchmark, and new MCP and skills for coding agents to use Baseten.
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Baseten announced a partnership with OpenAI, and together with the NVIDIA OpenShell and Blaxel sandboxes, safeguards the open frontier. Baseten launched Hosted Tools and supports Baseten Loops fine-tuning based on LangSmith traces; LangChain also uses Baseten Loops to train custom models for the LangSmith Engine. In addition, Baseten released DeepSeek-V4.1-Flash, providing more efficient prefill for coding agents.
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