top of page
The Analytics Acceleration Blog
Featured Articles
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 analytics from CPUs onto hardware accelerators and the Speedata C-200 Analytics Processing Unit (APU) is one of the three coprocessor architectures Microsoft integrated and benchmarked inside its next-generation Fabric archit
Daniela Sztulwark
Jun 113 min read
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 Analytics Processing Unit (APU), a custom accelerator card designed from the ground up to accelerate big data analytics workloads by up to 100x. But building powerful silicon is only half the battle. To actually achieve these
Omri Mezrich
2 days ago6 min read
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 analytics from CPUs onto hardware accelerators and the Speedata C-200 Analytics Processing Unit (APU) is one of the three coprocessor architectures Microsoft integrated and benchmarked inside its next-generation Fabric archit
Daniela Sztulwark
Jun 113 min read
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.
Adi Fuchs
May 123 min read
bottom of page