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全量厂商 · 13722 条快讯
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2026-09-02

  1. The production platform for open-weight AI inference

    Run open models in production with full control over performance, cost, and quality. Deploy in minutes, roll out safely, and scale to your SLOs.

    Together AI产品动态查看详情
  2. Kimi K3 vs Claude Fable 5 on DeepSWE: Cost and Coding

    We ran 452 DeepSWE rollouts on Kimi K3 and Claude Fable 5. Fable leads pass@1 by 1.4 points; Kimi K3 wins pass@4 and delivers 2.8x the solves per dollar.

    Together AI产品动态查看详情
  3. Kimi K3 vs GPT-5.6 Sol on DeepSWE: Cost, Coding, and Routing

    We ran 904 DeepSWE rollouts on Kimi K3 and GPT-5.6 Sol. Sol leads pass@1; Kimi K3 wins pass@4 at 2.8x the solves per dollar, and routing between them reaches ~85.6%.

    Together AI产品动态查看详情
  4. ThunderAgent: 2x Faster Agentic Inference for Synthetic Data Generation at Scale

    ThunderAgent is a program-aware scheduler for agentic inference. By treating each agent workflow as a schedulable program, it eliminates KV cache thrashing to deliver more than 2x single-node throughput and near-linear multi-node scaling.

    Together AI产品动态查看详情
  5. Configuring Dedicated Model Inference

    The three-part resource model behind Together AI Dedicated Model Inference—endpoints, deployments, configs—and how capacity-aware routing ties them together.

    Together AI产品动态查看详情
  6. Together AI announces strategic partnership with Moonshot AI to natively serve Kimi models

    Together AI partners with Moonshot AI to natively serve Kimi models, starting with the 2.8T parameter Kimi K3, with day zero access and post-training.

    Together AI产品动态查看详情
  7. Autoscaling endpoints for LLM inference

    GPU utilization can read healthy while your queue backs up, and a new replica takes minutes to warm. Here's how to pick autoscaling metrics, tune scale-up/down windows, and budget for cold starts on dedicated inference.

    Together AI产品动态查看详情
  8. Kimi K3: the complete developer guide

    Kimi K3 is the first open 3T-class model. See how it benchmarks, what it costs, and how to call it on the Together AI API, with copy-paste code examples.

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  9. DeepSeek-V4 Flash 0731 vs GPT-5.6 Luna on DeepSWE: Cost and Coding

    We ran 900 DeepSWE rollouts on DeepSeek-V4 Flash and GPT-5.6 Luna. Luna leads pass@1 by 14 points; DeepSeek delivers 4.8x the solves per dollar.

    Together AI产品动态查看详情
  10. Kevin32223112/miki7

    Hugging Face模型更新查看详情
  11. tritueviet/sow-ternary-mini-identity-relay

    Hugging Face模型更新查看详情
  12. mradermacher/gemma-4-12b-it-3MPER0RR-abliterated-i1-GGUF

    Hugging Face模型更新查看详情
  13. mradermacher/Jenzin-Wuang-Nemotron-30B-A3B-BF16-GGUF

    Hugging Face模型更新查看详情
  14. voicist/nm-fill-1020

    Hugging Face模型更新查看详情
  15. Toleng/koplak-flash-1.5b

    Hugging Face模型更新查看详情
  16. sundaycoil/bookmark-manager

    Hugging Face模型更新查看详情
  17. aixk/FHN-100M-WaveCross

    Hugging Face模型更新查看详情
  18. zhc12/dynrank-compressed-models

    Hugging Face模型更新查看详情
  19. Tostibrown/Qwen3.8-27B-5bit-affine-g64

    Hugging Face模型更新查看详情
  20. reyansh38771/sn97____ringtone-ro____uid142____hk5F6sC

    Hugging Face模型更新查看详情