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

#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

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. 🦾

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/

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.

#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

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.

Last week, our CEO & Co-Founder represented us @ #HelloTomrrowl Investor Day & Summit in #Amsterdam and #Arctic15 in #Helsinki, where he also spoke at the #ButterflyVentures LP Meetup. Thank you to everyone who took the time to connect with Timo. Learn more about Flow PPU: flow-computing.com

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

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.

Watch the full interview: flow-computing.com/interviews/ #CPU #ParallelComputing #Semiconductors #DeepTech #HighPerformanceComputing #HPC #ChipDesign #ProcessorArchitecture #ComputeInfrastructure #AIInfrastructure #CloudComputing #Hyperscale #Datacenter #Engineering #HardwareInnovation

Compute demand is accelerating. #AI, #cloud infrastructure, & large workloads continue to scale. System performance depends on parallel workload execution. In this convo w/ #BeyondInnovationTV, our CEO & Co-Founder discussed #CPU bottlenecks, parallel execution, & next gen compute infrastructure.

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

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.

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

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.

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

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.

Something new from Flow. Over the past few months, we’ve been validating new performance results for Flow PPU across parallel benchmarks and legacy code workloads. More soon.

It minimizes synchronization costs & splits common & data-parallel execution into architectural entities optimized for their designated use. #CPU handles sequential execution & control flow, while #FlowPPU handles execution of individual fibers independently: flow-computing.com/science/ #DeepTech

Processor architectures struggle as parallel workloads grow demanding. Our architecture is designed differently. #FlowPPU uses a scalable multi-fibered, multicore architecture. It adjusts parallelism according to algorithm needs. It improve memory access scalability & bandwidth utilization. #CPU

The future of computing is built through collaboration ...and sometimes over pasta in Piedmont. #DeepTech #Semiconductors #ParallelComputing #StartupLife #TeamWork #FlowComputing

We recently gathered in Italy for a F2F week of technical collabs, planning, discussions, & more. As a fast-growing #DeepTech team, these weeks are important to align on priorities, exchange ideas, solve problems,& build momentum. We also explored nearby cities & enjoyed each others company.

Our CEO & Co-Founder will be pitch next week, as part of #DTM100. Looking forward to connecting w/ investors, partners, &industry leaders across the European #DeepTech ecosystem. Interested in meeting at #DTM26? Request a meeting here: flow-computing.com/meet-timo-at... #HPC #Semiconductors #CPU

Both operate w/in a unified memory system designed to simplify co-processing & reduce synchronization overhead, making it possible to scale parallel performance independently ,while remaining compatible w/ #CPU architectures. Learn more about the science behind it flow-computing.com/science #HPC

Traditional processor architectures often force a compromise between low-latency sequential execution & high-throughput parallel execution. Our approach separates these responsibilities into 2 components: 1. #CPU for sequential execution & legacy code 2. #FlowPPU for scalable parallel execution

Next stop: #Berlin. We'll be at #DeepTechMomentum, May 20-21. Our CEO & Co-Founder will there, meeting with investors, partners, & industry leaders across the #semiconductor & #AI ecosystem. Interested in connecting during #DTM26? Request a meeting here: flow-computing.com/meet-timo-at... #DeepTech

Flow was selected as a Hello Tomorrow #DeepTech Pioneer. Now our CEO & Co-Founder, Timo Valtonen will be attending #HelloTomorrow Investor Day & Summit. Meet him on June 10-12, 2026, Amsterdam, NL Request a meeting: lnkd.in/duGBpzBU #CPU #HPC #Semiconductor #invest #FlowPPU #FlowComputing

Increasing computing power today requires rethinking how CPUs execute parallel workloads at the architecture level, not just adding more cores. We're bringing scalable parallel processing CPUs. More on Flow: flow-computing.com #Semiconductors #ChipDesign #HPC #CPU #DeepTech #EUChipsAct #FlowPPU

Compute architecture → digital infrastructure → growth That’s the full-stack conversation happening at #ChipsFromTheVeryNorth in #Oulu. 2 of our founders will be there, connecting with leaders across the semiconductor value chain. #Semiconductors #ChipDesign #HPC #CPU #DeepTech #EUChipsAct #FlowPPU

This reduces overhead, improves scalability, and enables more predictable parallel execution. Flow’s architecture builds on these principles: flow-computing.com/science #DeepTech #Semiconductors #FlowComputing #AI #HPC #ParallelComputing #CPU #FlowPPU

Parallel execution is powerful, but coordinating threads efficiently is hard. Traditional models often introduce synchronization overhead, complexity, & unpredictable performance. TCF addresses this by executing groups of threads (fibers) in tightly coordinated steps w/ deterministic control. #CPU

This research reinforces why rethinking #CPU architecture is critical for the future of #AI infrastructure. Learn more about the research behind our architecture: flow-computing.com/science Source: arxiv.org/pdf/2511.00739 #FlowPPU #Semiconductors #DeepTech #HPC #ParallelComputing

#AI often relies on agent workflows interacting w/ tools, memory & external systems, instead of single-pass inference. Orchestration/tool-side work can happen on CPUs. #FlowPPU addresses this. It's a gen. purpose parallel coprocessor w/ software & compiler, optimized to scale #CPU performance.

CPUs play a big role in system performance. A recent paper analyzed representative agentic #AI workloads. Findings: #CPU tool processing accounts for (90.6%] of latency in some workloads, CPU-side tasks dominate runtime, & CPU dynamic energy accounts for (44%] of the total dynamic energy at large.

Flow’s architecture builds on these principles: eu1.hubs.ly/H0ttjwj0 #FlowPPU #CPU #ParallelComputing #HPC #AI #FlowComputing #Semiconductors #DeepTech

Shared memory is central to parallel computing, but difficult to scale efficiently. Traditional multicore systems rely on cache coherence, introducing overhead & limiting scalability. ESM addresses this, enabling high-throughput execution, latency hiding, & simplified parallel programming.

This makes it well suited for robotics and embedded systems, where low-latency and predictable performance are essential. → flow-computing.com/solutions/ #NationalRoboticsWeek #CPU #FlowPPU #HPC #Semiconductors #DeepTech #AI #FlowComputing #ParallelComputing

Robotics depends on fast, deterministic execution across parallel workloads. Sensor & signal processing workloads require efficient parallel execution to handle high-throughput data streams in real time. #FlowPPU enables nextgen performance, delivering scalable parallel execution w/ CPUs. #CPU #HPC

Thank you to those we met for the insightful discussions, including Fuad Abazovic & Deepak Chugh, Hartti Suomela & @um.fi, & to #NordicInnovationHouse. We’re building momentum. See where we'll be next: eu1.hubs.ly/H0tfTQf0 #CPU #HPC #AI #VC #Semiconductor #DeepTech

Our founders met w/ customers & investors in #SiliconValley. Signals: → Growing interest from both customers and investors → Highly engaged, technical conversations → Multiple discussions moving forward It’s encouraging such traction w/ US-based investors focused on #semiconductor & compute tech.

#ParallelComputing #ComputerArchitecture #Semiconductors #AIInfrastructure #HighPerformanceComputing #CPU #DeepTech #SystemsEngineering #Innovation

These limitations reflect deeper architectural challenges in modern parallel computing. They’re not easily solved w/ more cores / incremental improvements. #FlowPPU is designed from 1st principles to rethink how parallel workloads are executed. Explore science behind it: flow-computing.com/science

We've been selected from 5000+ startups for the #DeepTechMomentum Watchlist. We’ll be at #DTM26 in Berlin, meeting with investors, partners, & industry leaders across the #DeepTech ecosystem. If you’d like to connect, you request a meeting here: flow-computing.com/meet-timo-at... #VC #CPU #AI #HPC

As system performance becomes increasingly important, improving parallel execution within the #CPU is key to unlocking overall system throughput. Learn more: flow-computing.com #Semiconductors #AI #ParallelComputing #DeepTech #FlowComputing #FlowPPU #HPC #AIInfrastructure #ChipDesign

New? Here’s a quick guide to what Flow PPU is & why it matters. Modern workloads are increasingly parallel. Efficiently utilizing that parallelism remains a challenge. Flow PPU is a general-purpose parallel co-processor designed to work alongside the CPU, enabling more efficient parallel execution.

🎧 Listen to the full episode below: flow-computing.com/parallel-per... #Semiconductors #AI #ParallelComputing #DeepTech #FlowComputing #FlowPPU #ComputeArchitecture #CPU #HPC #ChipDesign #Podcast #Torino #ItalianTech

🇺🇸On #DanteDay, we’re sharing an ep. of our podcast in Italian. We recorded this while staying near Via Dante. Our team discusses how #CPU architectures have reached a point of incremental improvements, limits of specialized accelerators, & why general-purpose parallelism is an important shift. #HPC