Flow Computing
Our Parallel Processing Unit (PPU) gives CPUs a significant performance boost.
03/06/2026
Next week, our CEO & Co-Founder, Timo Valtonen, will represent us at Hello Tomorrow Investor Day & Summit and Arctic15.
Hello TomorrowInvestor Day & Summit (June 10-11, Amsterdam)
Following Flow’s selection as a Hello Tomorrow Deep Tech Pioneer, Timo will meet with investors, partners, and industry leaders in semiconductors and AI.
Arctic15 - 15th Anniversary Edition (June 12, Helsinki)
Timo will attend and participate as a panelist.
If you’ll be at Hello Tomorrow and want to connect, request a meeting with Timo here:
https://eu1.hubs.ly/H0vLWv60
01/06/2026
Winner of the High-Performance Computing track at DTM100.
Top 7 out of 5,000+ startups.
Our CEO & Co-Founder, Timo Valtonen, represented Flow at Deep Tech Momentum in the DTM100 pitch competition.
We advanced to the finals and were recognized as the High-Performance Computing track winner.
Across sectors, these challenges surfaced repeatedly:
- Compute infrastructure
- CPU bottlenecks
- Parallel performance
Compute demands are growing. Efficient performance is critical.
Flow PPU solves this challenge.
Thank you to the Deep Tech Momentum team, judges, investors, founders, and everyone we met in Berlin.
Learn more about our approach to scalable parallel performance:
https://eu1.hubs.ly/H0vMYm20
20/05/2026
Modern processor architectures often struggle with scalability, synchronization overhead, and inefficient resource utilization as parallel workloads become more demanding.
Our architecture is designed differently.
Flow PPU uses a scalable multi-fibered multicore architecture designed to:
-Adjust parallelism according to the needs of the algorithm
-Improve memory access scalability and bandwidth utilization
-Minimize synchronization costs
-Split common and data-parallel ex*****on into architectural entities optimized for their designated use
In Flow’s hybrid architecture, the CPU handles sequential ex*****on and control flow, while Flow PPU handles ex*****on of individual fibers independently of their number.
Learn more about the science behind Flow PPU: https://eu1.hubs.ly/H0vs-8z0
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