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    AMD GPU Appliance

    Deploy fully integrated AMD GPU-based cluster systems with scalable RoCE networking

    Tenstorrent Appliance

    Deliver the lowest TCO with inherently scalable, network-integrated chips

    Use Cases

    End-to-End Model Deployment

    Build cost-effective inference endpoints on-premises or in the cloud

    Large Scale Training

    Maximize GPU utilization and reduce training costs at the 1,000+ GPU scale

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    GPU Virtualization

    Flexible GPU aggregation, decomposition, and scaling with heterogeneous GPU support

    System Reliability

    Automatic GPU failover and diagnostic hardware monitoring

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Press Release

  • Press Release

    November 17, 2025

    Press Release

    Moreh and Tenstorrent Unveil Scalable, Cost-Efficient AI Data Center Solution at SuperComputing 2025

    November 17, 2025

    Moreh, a provider of optimized AI infrastructure software, and Tenstorrent, an AI semiconductor company, are unveiling a scalable, cost-efficient AI data center solution at SuperComputing 2025 in St. Louis, Missouri.

  • Press Release

    September 11, 2025

    Press Release

    Moreh and SGLang team up to showcase distributed inference system on AMD at AI Infra Summit 2025

    September 11, 2025

    Introducing distributed inference systems on AMD with greater efficiency than NVIDIA, and unveiling collaborations with Tenstorrent and SGLang.

  • Press Release

    November 18, 2024

    Press Release

    Moreh partners with Tenstorrent to challenge NVIDIA in AI data center market

    November 18, 2024

    Joint R&D of AI data center solutions by integrating Tenstorrent's semiconductors with Moreh's software; Targeting NVIDIA dominant market with competitive solutions.

  • Press Release

    August 22, 2023

    Press Release

    Moreh joins the LLM race, proving AMD can outperform NVIDIA

    August 22, 2023

    Moreh announced the successful completion of a monumental LLM (large language model) training project in collaboration with KT, a leading CSP in Korea.

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