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Overview

Speedata is an Israeli semiconductor company building a processor purpose designed for big data analytics workloads. Its analytics processing unit accelerates queries and data pipelines that normally run on general purpose servers. The company targets data centre operators facing rising analytics costs.

News

Blog 3 months ago
Maximizing Hardware Efficiency: How Speedata Solves the Firmware Challenge with a Promise-based Async Framework
The golden rule of high-performance hardware is that the firmware's #1 job is to keep the hardware accelerators busy. In the world of big data analytics, every single cycle that an engine sits idle is wasted throughput. At Speedata, we developed the C200
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Award 3 months ago
259 Faster! What Microsoft's Award-Winning SIGMOD Paper Says About the Speedata APU
Microsoft's paper "CoddSpeed: Hardware Accelerated Query Processing in Microsoft Fabric" won the Best Industry Paper Award at SIGMOD 2026, one of the top academic conferences in database research. The paper documents Microsoft's multi-year effort to move
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Blog 4 months ago
Know Your Unknowns: Building Knowledge Bases for Your VLSI Engineering Organization (Practical Rules)
Practical guidelines for making AI coding agents work in real VLSI design environments, skills, context, traceability, and the human-only decisions.
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Blog 4 months ago
APU vs. LPU vs. TPU vs. GPU vs. CPU: When to Use Each One
Not every workload belongs on a GPU. From CPUs to APUs, TPUs, and LPUs - five processors, five jobs, and a clear guide to picking the right one for AI, analytics, and inference at scale.
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Blog 5 months ago
One Chip Can't Do It All - The New AI Tech Stack
No single processor can handle every AI workload efficiently. Speedata's recap breaks down how CPUs, GPUs, TPUs, LPUs, and APUs each fit into the modern AI infrastructure stack.
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