Flow Computing

@flow-computing.bsky.social

Speed is the superpower of computing. Our Parallel Processing Unit (PPU) gives CPUs a significant performance boost. 💻 Learn more: https://flow-computing.com

Learn how Flow PPU enables next-generation CPU performance. flow-computing.com/solutions/ #FlowComputing #ParallelComputing #ComputerArchitecture #CPU #Semiconductors #ProcessorDesign #AIInfrastructure #HPC #DeepTech #FlowPPU

Flow Computing@flow-computing.bsky.social · 4d ago

How do instruction dependencies affect parallel performance? #CPUs include multiple FUs. To maximize utilization, instructions assigned to them typically need to be independent. #FlowPPU supports dependent instructions through high-bandwidth intercommunication and sequential organization. #CPU #HPC

Thank you to Zivile Einikyte & the #SuperheroCapital team for the thoughtful conversation. Watch the full conversation: flow-computing.com/interviews/ #Semiconductors #CPU #ChipDesign #ComputerArchitecture #DeepTech #FlowPPU #HPC #FlowComputing

Flow Computing@flow-computing.bsky.social · last wk.

Building breakthrough tech is 1 part of the challenge. As Timo explains, success in #semiconductors depends on earning trust, finding internal champions, & navigating 1 of the most relationship-driven industries. Thank you to Zivile Einikyte & #SuperheroCapital team for the thoughtful conversation.

Quote graphic featuring Flow Computing CEO and Co-Founder Timo Valtonen. The quote reads: "The semiconductor industry is like a club. If you're not in the club, you're outside the club. It's actually very small circles, even though we're talking about some of the largest technology companies in the world. The biggest challenge isn't the technology. It's finding visionary people inside those organizations who are willing to champion something disruptive." The graphic includes a black-and-white portrait of Timo Valtonen alongside Flow Computing and Superhero Capital logos.

As illustrated in this animation, this architectural approach helps minimize synchronization overhead during parallel execution. Explore the science behind #FlowPPU & learn more about the architectural principles that enable scalable #ParallelPerformance: flow-computing.com/science/ #CPU #HPC

Flow Computing@flow-computing.bsky.social · last wk.

Why does synchronization matter in #ParallelComputing? As applications become more parallel, PEs need to coordinate w/ each other. This can introduce waiting time & reduce overall efficiency. #FlowPPU addresses this challenge by reducing the number of synchronization events & overlapping execution.

Book a meeting with our team and let's start the conversation. flow-computing.com/hot-chips-20... We look forward to seeing you soon. #Semiconductors #ComputerArchitecture #CPU #FlowComputing #FlowPPU #AIInfrastructure #HPC #SiliconValley

Hot Chips 2026

flow-computing.com

Flow Computing@flow-computing.bsky.social · 2w ago

We'' attend #HotChips2026 & meet w/ compute ecosystem companies. We'll be available for meetings in #SiliconValley before, during, & after. If you're interested in discussing future #CPU architectures, #semiconductor partnerships, #AI infrastructure, #HPC, or investment opportunities, lets connect.

Promotional graphic announcing Flow Computing's presence around Hot Chips 2026. A black-and-white portrait features Flow's founders: Dr. Martti Forsell (CTO & Chief Architect), Timo Valtonen (CEO), and Jussi Roivainen. The graphic includes the headline "MEET FLOW," the date "August 2026," the text "SILICON VALLEY," and an invitation to book a meeting before, during, or after Hot Chips, alongside the Hot Chips logo.

Explore the science behind Flow PPU and learn more about the architectural principles that enable scalable parallel performance. flow-computing.com/science #Semiconductors #ComputerArchitecture #ParallelComputing #CPU #FlowPPU #FlowComputing #MemoryArchitecture #HPC #DeepTech

Flow Computing@flow-computing.bsky.social · 3w ago

As applications become more parallel, factors like latency, congestion & memory coherence can influence throughput. #FlowPPU addresses these challenges. It's designed to tolerate memory latency, reduce idle time & provide coherent memory access to help sustain throughput during parallel execution.

As applications become more parallel, factors like latency, congestion & memory coherence can influence throughput. #FlowPPU addresses these challenges. It's designed to tolerate memory latency, reduce idle time & provide coherent memory access to help sustain throughput during parallel execution.

For a deeper dive, visit flow-computing.com or watch the full presentation here: youtube.com/watch?v=ZiQxxzCHLvo @riser-project.bsky.social @riscvinternational.bsky.social @risc-v.bsky.social @riscv.org.web.brid.gy #FlowComputing #FlowPPU #Semiconductors #CPU #RISCV #HPC #DeepTech

Flow Computing@flow-computing.bsky.social · 4w ago

#CPU performance scaling a big challenge in computing.. We've highlighted several key insights from our Head of CPU Development, Marcello Ranone, explaining why conventional multicore scaling is no longer enough + how the #FlowPPU is designed to address that challenge. #RISCV #HPC #DeepTech

Explore how Flow PPU can help address today's computing challenges. flow-computing.com/solutions #Semiconductors #ComputerArchitecture #ParallelComputing #CPU #HPC #DeepTech #FlowPPU #FlowComputing #SoftwareDevelopment

Flow Computing@flow-computing.bsky.social · last mo.

How does #FlowPPU work? Explicitly parallel parts of a workload can be offloaded to it. Sequential execution continues on the #CPU, ooperating as a program. We use programming abstraction designed to support native & straightforward #ParallelProgramming, enabling sequential & parallel execution.

Serious strategy. Not so serious headwear. Our leadership team went to #Oulu to plan what's next for us Between strategy sessions, there was also time to visit a team favorite: Harold Viking Restaurant Here's to building the future of computing, 1 strategy session (& Viking helmet) at a time. 🦾

View from an airplane window above the clouds during sunrise, with a vibrant orange horizon stretching across the sky on the journey to Oulu for leadership strategy sessions.Flow Computing leadership team members Timo Valtonen, Jussi Roivainen, Martti Forsell, Marcello Ranone, and Gábor Márton seated together at Restaurant Harald in Oulu, smiling while wearing Viking helmets after a day of strategy discussions.

These challenges limit workload scaling efficiently. Understanding these bottlenecks is essential as the industry's need for #CPU performance grows. We're addressing the challenges of multicore scaling. Learn more about #FlowPPU & how we're enabling the next-gen CPUs: flow-computing.com/technology/

Flow Computing@flow-computing.bsky.social · last mo.

If adding more #CPU cores were enough a 96-core processor would deliver 96x. It rarely occurs. Our benchmark (96-core #AMDEPYCZen5 processor) shows performance across matrix multiplication workloads. As core ↑, memory latency, bandwidth contention & synchronization overhead are important.

Flow Computing carousel cover slide with the headline: "Adding more CPU cores doesn't produce linear performance scaling." Subheading: "Measured performance on a 96-core AMD EPYC™ Zen5 processor shows how real-world scaling diverges from the theoretical ideal." A hand-drawn arrow at the bottom indicates there is another slide.

If adding more #CPU cores were enough a 96-core processor would deliver 96x. It rarely occurs. Our benchmark (96-core #AMDEPYCZen5 processor) shows performance across matrix multiplication workloads. As core ↑, memory latency, bandwidth contention & synchronization overhead are important.

Flow Computing carousel cover slide with the headline: "Adding more CPU cores doesn't produce linear performance scaling." Subheading: "Measured performance on a 96-core AMD EPYC™ Zen5 processor shows how real-world scaling diverges from the theoretical ideal." A hand-drawn arrow at the bottom indicates there is another slide.Line graph comparing theoretical and measured multicore CPU performance scaling on a 96-core AMD EPYC™ Zen5 processor. The ideal performance line reaches 96× speedup with 96 threads, while measured workloads achieve lower scaling: trivial matrix multiplication reaches 29×, blocking matrix summation reaches 8.6×, and matched matrix summation reaches 0.24×. Caption notes the results are from a Flow Computing benchmark measured by Flow under the stated test conditions.

#FlowPPU is built to support scalable #ParallelPerformance w/ the CPU for industrial & embedded systems. This #LogisticsDay, we’re focused on the compute Infrastructure powering smarter, more autonomous logistics systems. Learn more: flow-computing.com/solutions #SmartLogistics #WharehouseAutomation

Flow Computing is the enabler of next generation SuperCPUs

Flow's Parallel Processing Unit (PPU) gives 100X CPU performance for demanding applications, such as locally-hosted AI and general-purpose parallel computing.

flow-computing.com

Flow Computing@flow-computing.bsky.social · last mo.

The future of #logistics isn’t only #robotics. It’s the #ComputeInfrastructure too. #WarehouseAutomation, #AutonomousSystems to sensor processing, real-time decision-making, & logistics systems are becoming increasingly compute-intensive. As workloads scale, efficient #ParallePerformance matters.

Industrial automation facility with robotic arms positioned along a conveyor system. A dark overlay in the center reads, "Logistics runs on compute." The Flow logo appears in the upper left corner. Along the bottom, the graphic highlights three themes: "Scalable Parallel Performance," "Next-Gen Systems," and "Intelligent Logistics."

As part of the program, Timo will present: A Quantum-Level Leap in Existing Technologies We look forward to joining the discussion on the future of computing alongside fellow innovators across the #semiconductor ecosystem. More on #FlowPPU: flow-computing.com #Arctic15 #DeepTech #CPU #HPC

Flow Computing@flow-computing.bsky.social · 2mo ago

Compute power is of the defining resources of the #AI era. This Friday, our CEO & Co-Founder will speak @ the #ButterflyVentures LP Meetup during #Arctic15. It brings together investors, founders, & tech companies to explore #semiconductor #innovation, computing efficiency, AI & next-gen chip tech.

Promotional graphic for Arctic15 2026 in Helsinki featuring a black-and-white portrait of Flow Computing CEO and Co-Founder Timo Valtonen on a blue technology-themed background. The graphic includes the text “I'm Attending Arctic15 – 15th Anniversary Edition” and Arctic15 event branding.

Topics covered: international collaboration, professional growth, transitioning to leadership, & advice. Thank you Annachiara Ruospo & #PolitecnicodiTorino for the invite & to Francesco Politino for the pics. Curious about the kind of compute Marcello works on today? Learn more: flow-computing.com

Flow Computing@flow-computing.bsky.social · 2mo ago

What do you wish you knew as a junior engineer? Recently, our Head of CPU Development, Marcello Ranone, returned to his home university, #PolitecnicoDiTorino, to speak w/ #computerarchitecture students about his journey from student to working on #CPU architectures in the #semiconductor industry.

Marcello Ranone, Head of CPU Development at Flow Computing, speaking to computer architecture students at Politecnico di Torino. A presentation slide reading “Engineering: A Team Sport” is projected above him as he discusses engineering collaboration, careers in CPU design, and professional growth.

Arctic15 (12.6) 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: flow-computing.com/meet-timo-at... #DeepTech #Semiconductors #AI #FlowPPU #HPC #ParallelComputing #CPU #VC #Innovation #StartUp

Flow Computing@flow-computing.bsky.social · 2mo ago

Next week, our CEO & Co-Founder, Timo Valtonen, will represent us at #HelloTomorrow Investor Day & Summit & #Arctic15. Hello Tomorrow (10-11.6) Following our selection as a #DeepTech Pioneer, Timo will meet with investors, partners, & industry leaders in #semiconductors & #AI.

Black-and-white portrait of Flow Computing CEO & Co-Founder Timo Valtonen with the headline ‘Meet Timo.’ Timo will represent Flow Computing at upcoming deep tech events and meet with investors, partners, and industry leaders.

Compute demands are growing. Efficient performance is critical. #FlowPPU solves this challenge. Thank you to the #DTM100 team, judges, investors, founders & everyone we met. Learn more about our approach to scalable #ParallelProcessing: flow-computing.com #HPC #Semiconductors #DeepTech #CPU

Flow Computing@flow-computing.bsky.social · 2mo ago

Winner of the #HPC track. Top 7 / 5,000+. Our CEO & Co-Founder, Timo Valtonen, represented us #DeepTechMomentum in the DTM100 pitch competition. We advanced to the finals & were recognized as the #HPC track winner. Compute infrastructure, #CPU bottlenecks & parallel performance surfaced repeatedly.

Black-and-white photo of a Deep Tech Momentum (DTM26) High-Performance Computing plaque displayed in Berlin, recognizing participation in the DTM100 pitch competition on May 20–21, 2026.