Flow Computing

In a proof-of-concept benchmark, a 256-core Parallel Processing Unit (PPU) delivered an average 24× performance gain over a 72-core Google Axion in compute pattern tests. ⚡ Discover how the PPU scales beyond the limits of multicore architectures, and request access to the full demo + performance poster.

Multicore CPUs have reached their architectural limits. Synchronization, coherency, and scalability bottlenecks now define the ceiling of sequential architectures. Flow Parallel Processing Unit (PPU) was designed to break through. In this segment, see how Flow Computing’s parallel-first engine resolves long-standing performance constraints at the architecture level, paving the way for near-linear scalability. Learn more and request access to performance results.

New performance results are in. ⚡ Flow Computing’s 256-core Parallel Processing Unit (PPU) delivered up to a 31× performance boost compared to the 5th Gen Intel Xeon in real-world compute workloads. A 31× boost isn’t just a number. It’s proof that when parallelism becomes the starting point, CPU performance enters a new era. Explore the benchmark highlights and request access to the full demo + Hot Chips poster.

Scalability isn’t theoretical. it’s measurable. The Parallel Processing Unit (PPU) delivers 2× performance out of the box, and scales even higher when optimized for parallel workloads. See how Flow Computing is redefining CPU architecture with true parallel-first performance.

After achieving full end-to-end operation of the Parallel Processing Unit (PPU), our engineers shared their first reactions in Turin. The PPU isn’t theoretical. It’s proving measurable, scalable performance across real workloads, from irregular memory access to RISC-V acceleration. See how the team at Flow Computing is redefining parallel-first computing.

Introducing Parallel Perspectives, the podcast from Team Flow. In this short-form series, we explore the science, the product, and the people shaping the Parallel Processing Unit (PPU): Flow’s breakthrough in parallel-first computing. 🎧 Episode 1: From Science to Product Featuring Dr. Martti Forsell, Gábor Márton, PhD & Marcello Ranone Hosted by Angela M. Werner Discover how Flow transforms academic research into commercial-grade silicon, and what it takes to turn theory into hardware. Watch the preview and visit our site to stream the full episode.