Solutions

Thunderbird's key role for AI in science and engineering

Providing the “ground truth” for AI

in science & engineering

Accelerating the datacenter HPC-AI market

InspireSemi Thunderbird value proposition., Four pillars are: All CPU architecture/all 64-bit native, very high core count, low latency/high bandwidth mesh network, and best in class energy efficiency
  • Versatile all-CPU architecture applicable to all HPC-AI software, much of which does not benefit from GPUs

  • High precision, high performance, low power 64-bit native processors to solve “big math” problems required by most HPC software

Workflow - Thunderbird runs the highly accurate physics-based HPC simulations needed to train AI surrogate models for science and engineering.<br />
GPUs run fast AI surrogate models to approximate long-running physics-based HPC simulations
  • Thunderbird runs the highly accurate physics-based HPC simulations needed to train AI surrogate models for science and engineering

  • GPUs run fast AI surrogate models to approximate long-running physics-based HPC simulations

HPC-AI workflow for scientific discovery and engineering at scale

Thunderbird AI-HPC workflow graphic

MISSION

Setting new standards of performance, energy efficiency, versatility, and ease of programming

InspireSemi provides revolutionary high-performance, energy-efficient accelerated computing solutions for High-Performance Computing (HPC), AI, graph analytics, and other compute-intensive workloads. The Thunderbird “supercomputer-cluster-on-a-chip” is a disruptive, next-generation datacenter accelerator designed to address multiple underserved and diversified industries, including financial services, computer-aided engineering, energy, climate modeling, and life sciences & drug discovery.  Based on the open standard RISC-V instruction set architecture, InspireSemi’s solutions leverage an established and thriving software ecosystem.

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Solution Overview

InspireSemi one page solution overview handout

Executive Summary

Company Overview Presentation

Investor overview title page July2025