Blaize (BZAI) investor relations material

Company background and technology

• Founded over a decade ago to develop programmable GPUs optimized for edge use cases, focusing on low power, low latency, and high efficiency.

• The core product is the Graph Streaming Processor (GSP), designed to complement rather than replace traditional GPUs.

• The platform is built on three pillars: edge/far edge deployment, hybrid GPU-GSP solutions, and an AI services platform for data centers.

• APIs enable customers to access AI workloads for applications like facial recognition and security, generating recurring revenue streams.

• Chips are manufactured by Samsung Foundry in Austin, Texas, supporting defense and "Made in America" requirements.

Use cases and customer applications

• Solutions are deployed in smart cities, retail, defense, and industrial settings, including highway monitoring and drone-based threat detection.

• Edge devices can process multiple high-definition video streams and run diverse algorithms simultaneously.

• Customers include TCC (highway monitoring in Saudi Arabia), Winmate (industrial and drone applications), and Yotta (Indian highways for number plate recognition).

• The platform supports both video and non-video data streams, with a roadmap to expand API capabilities to text and document processing.

• Hybrid deployments allow customers to optimize workloads between GSPs and GPUs, improving efficiency and cost.

Financial performance and outlook

• FY2023 revenue closed at approximately $39 million, exceeding guidance.

• Guidance for 2026 is $130 million, with expectations of backend-loaded growth as contracts move into production.

• ROI for data center customers is improving, with reductions from five years to as low as three years due to efficiency gains.

• Hardware will remain the majority of revenue through 2026, but software and AI services are expected to drive margin improvement from 2027 onward.

• Recurring revenue from software and APIs is anticipated to become a larger share of the mix over time.