Meet us at TPC26 in in Baltimore, MD June 2-3, 2026

The Trillion Parameter Consortium’s 2026 all-hands conference and exhibition

Disruptive Next Generation HPC-AI Accelerated Computing Platform

Thunderbird “Supercomputer cluster-on-a-chip” value prop graphic
Thunderbird A0 chip picture

Thunderbird “Supercomputer cluster-on-a-chip”

GAME CHANGING TECHNOLOGY

Revolutionizing HPC-AI datacenters

One Thunderbird board has more CPU cores than an entire rack of standard Intel,  AMD, or ARM servers!

  • Lower cost: less real estate, servers, networking, power, cooling

  • Less complexity, interconnects, points of failure

  • No need to build new datacenters

Thunderbird PCIe card, liquid cooled, charcoal gray
Thunderbird vs. server rack

Addresses the need to accelerate All HPC-AI software

What customers always wanted…not “yet another GPU”

Image of all HPC markets Thunderbird addresses, way more than GPUs

Provides the “ground truth” for AI in science & engineering

  • 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

Thunderbird for FP64 physics models, GPUs for AI surrogate models

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.

Innovate with InspireSemi

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