Open Hardware & RISC-V

LattePanda Sigma 2 SBC features Intel Panther Lake and 180 TOPS AI performance

Key Takeaway

The LattePanda Sigma 2 is a high-performance x86 single-board computer designed for local AI inference and robotics.

Summary

LattePanda has announced the Sigma 2, an x86 single-board computer powered by the Intel Core Ultra X7 358H Panther Lake processor. The board is optimized for local AI workloads, offering a combined theoretical peak of 180 TOPS across its CPU, NPU, and integrated GPU. It supports Ubuntu 24.04 LTS and comes pre-installed with AI frameworks and models.

Technical specifications of Sigma 2

  • Processor: Intel Core Ultra X7 358H (16C/16T: 4P + 8E + 4LPE) with Intel Arc B390 graphics.
  • AI Performance: 180 TOPS total (122 TOPS GPU, 50 TOPS NPU, 8 TOPS CPU) at INT8 precision.
  • Memory: 64GB LPDDR5X-8533, allowing up to 59GB allocation for AI/graphics.
  • Connectivity: Dual 10GbE RJ45 ports, two Thunderbolt 4 ports, and an OCuLink connector.
  • Expansion: Three M.2 slots (PCIe 5.0 x2, PCIe 4.0 x4, PCIe 4.0 x1) and an onboard RP2350 microcontroller for hardware I/O.
  • Software: Supports Ubuntu 24.04 LTS; includes OpenVINO, Ollama, and llama.cpp support.

Why it matters

The inclusion of pre-installed AI models and drivers for Ubuntu makes this a turnkey solution for developers working on edge AI and robotics.

Original reference: linuxgizmos.com →