The rapidly growing compute demands of AI necessitate the creation of new computing architectures and approaches. Tenstorrent designed its architecture (embodied in Grayskull and Wormhole devices) to tackle this challenge via two fundamental and synergistic approaches. The first is via compute-on-packets fabric that is built from ground up for massive scaleout. The second is the ability to execute dynamic computation, built into the compiler, runtime software and hardware architecture. By combining these approaches, TensTorrent will enable continued scaling of AI workloads.

中文翻译：

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软件2.0的计算底层


人工智能快速增长的计算需求需要创建新的计算架构和方法。 Tenstorrent 设计了其架构（体现在 Grayskull 和 Wormhole 设备中），通过两种基本且协同的方法来应对这一挑战。第一个是通过数据包计算结构，该结构是从头开始构建的，用于大规模横向扩展。第二个是执行动态计算的能力，内置于编译器、运行时软件和硬件架构中。通过结合这些方法，TensTorrent 将能够持续扩展人工智能工作负载。