Corporate presentation
Logotype for Inspire Semiconductor Holdings Inc

Inspire Semiconductor (INSSF) Corporate presentation summary

Event summary combining transcript, slides, and related documents.

Logotype for Inspire Semiconductor Holdings Inc

Corporate presentation summary

27 Jul, 2026

Technology and product overview

  • Thunderbird is a supercomputer cluster-on-a-chip with over 6,000 RISC-V CPU cores per board, offering high performance and energy efficiency for HPC and AI workloads.

  • The platform features a 64-bit native CPU architecture, low-latency mesh network, and is designed for versatility across a wide range of applications.

  • Achieves 24 TFLOPS (FP64) performance, 75 GFLOPS/watt efficiency, and deterministic, predictable performance.

  • Supports open RISC-V ecosystem and standard programming models, eliminating vendor lock-in and proprietary software dependencies.

  • Enables large-scale deployment and orchestration of Agentic AI workloads without the need for new datacenter infrastructure.

Market positioning and competitive advantages

  • Targets unmet needs in the $30B HPC accelerated computing market, with initial focus on large-scale HPC deployments.

  • Offers lower cost, reduced complexity, and smaller datacenter footprint compared to traditional CPU and GPU solutions.

  • Delivers best-in-class energy efficiency (80W/chip typical, 150W max) and scalability up to 256 chips per deployment.

  • Versatile all-CPU architecture applicable to all HPC-AI software, including workloads not suited for GPUs.

  • Recognized global partners (TSMC, Lenovo, Dell, Penguin Computing, Supermicro) support turnkey solutions and supply chain.

Customer and analyst feedback

  • High-precision, double-precision calculations are vital for scientific, engineering, and AI surrogate model accuracy.

  • Thunderbird is praised for ease of integration, high performance, low power, and suitability for diverse HPC and AI workflows.

  • Market opportunity seen in providing a versatile, CPU-based solution for organizations seeking alternatives to GPU-centric architectures.

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