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TT-Metalium

Open-source low-level SDK for writing custom C++ kernels and applications on Tenstorrent hardware.

TT-Metalium

TT-Metalium gives developers direct control over Tensix hardware, including RISC-V processors, the Network-on-Chip, and matrix and vector engines. It provides C++ APIs for writing, configuring, and executing kernels, with explicit control over memory and data movement.

It is intended for developers building custom machine-learning or high-performance-computing workloads, including novel operations and distributed multi-chip programs. It requires compatible Tenstorrent hardware and software setup; no public software pricing was found.

Features

  • C++ API for writing and executing kernels on Tensix hardware
  • Direct access to RISC-V processors and the Network-on-Chip
  • Control over matrix and vector engines
  • Explicit memory allocation and data movement
  • Custom single-core and multi-core kernel development
  • Support for multi-device and distributed computations
  • Open-source code under the Apache-2.0 license

Use cases

  • Write custom kernels for machine-learning operations
  • Optimize memory movement and compute across Tensix cores
  • Build high-performance computing applications
  • Implement operations not available in standard libraries
  • Port workloads from one Tenstorrent device mesh to another

Pros

    Cons

      Latest updates

      Capabilities

      • API — “TT-Metalium provides a C++ API for writing kernels that run on Tensix hardware; for configuring these kernels; and for executing kernels on the hardware.” source
      • Official SDKs — “TT-Metalium™ is Tenstorrent’s open source, low level AI hardware SDK, getting you as close to the metal as possible for custom kernel development, experimentation, and more.” source

      Get it

      Pricing

      Starting price
      Free
      Prices checked
      2026-10-25

      TT-Metalium

      Free

      • Open source low-level AI hardware SDK
      • C++ API for custom kernels on Tensix processors
      • Direct access to RISC-V, NoC, Matrix/Vector engines
      • Available on GitHub under open-source license
      • No licensing fees
      Official website