Introducing Together Link: Run open models inside the harness you already use →

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📈 GLM-5.3 vs. GLM 5.3 Flash on DeepSWE →

⚡ On-demand B200s now available on Together GPU Clusters →

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    • Serverless Inference

      High-performance inference as APIs

    • Batch Inference

      Inference for batch workloads

    • Provisioned Throughput

      Token-based capacity with SLAs

    • Dedicated Model Inference

      Inference on custom hardware

    • Dedicated Container Inference

      Inference for custom models

    • Together Link

      Run open models in your harness

    MiniMax M3
    Gemma 4 31B
    DeepSeek V4 Pro
    GLM-5.2
    White circular shape with uneven edges and three extended finger-like projections on a black background.
    kimi K2.7 Code
    OpenAI logo with a symmetrical abstract geometric knot design.
    gpt-oss-120B

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    Explore the top open-source models

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  • Accelerated Compute

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      Reliable GPU clusters at scale

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      Build development environments for AI

    Storage

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      Store model weights & data securely

    • GB300

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    • Custom Training

      Post-training for frontier quality at scale

    • Fine-Tuning

      Shape models with your data

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      Measure model quality

    kimi K2.7 Code
    Gemma 4 31B-it FP8
    GLM 5.1 FP4
    OpenAI logo with a symmetrical abstract geometric knot design.
    gpt-oss-120b
    Qwen3.5 397B A17b
    Llama 4 Maverick

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    Fine-tune top open-source models

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Architecture
Mamba-3

Aakash Lahoti* (CMU), Kevin Y. Li* (CMU), Berlin Chen* (Princeton), Caitlin Wang* (Princeton), Aviv Bick (CMU), J. Zico Kolter (CMU), Tri Dao (Princeton, Together AI), Albert Gu (CMU, Cartesia A)

Abstract purple and red shapes background with the word 'Mamba-3' and a small label 'RESEARCH'.
Kernels
Key research and product announcements at the AI Native Conf

Kernels
FlashAttention-4: Algorithm and Kernel Pipelining Co-Design for Asymmetric Hardware Scaling

Ted Zadouri (Princeton University, Together AI), Markus Hoehnerbach (Meta), Jay Shah (Colfax Research), Timmy Liu (NVIDIA), Vijay Thakkar (Meta, Georgia Tech), Tri Dao (Princeton University, Together AI)

Abstract colorful curved shapes with the text FlashAttention-4 and a small label reading RESEARCH.
Inference
Cache-aware prefill–decode disaggregation (CPD) for up to 40% faster long-context LLM serving

Jiejing Zhang, Yubo Wang, Yinghui Liu, Mourya Vangala Srinivasa, Chenxi Li, Jue Wang, Yineng Zhang, Shuaiwen Leon Song, Ce Zhang

Bar chart showing CPD outperforming baseline in queries per second for 1D vs 2P1D and 2D vs 2P2D tests.
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