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Flow Computing @flow-computing.bsky.social · 16h

@nvidiabot.bsky.social presented Vera at #HotChips26. They focused on performance per core, not just core count. We explore #NVIDIA’s approach + how #FlowPPU complements advances @ the CPU-core level w/ scalable parallel acceleration alongside the #CPU here: flow-computing.com/news/hot-chi... #HPC

Flow Computing graphic for Part 3 of its Hot Chips 2026 mini series, focused on NVIDIA Vera. Headline reads, “More Cores ≠ More Performance.” Key points explain that adding CPU cores does not guarantee proportional performance, parallel workloads introduce memory, communication and synchronization overhead, NVIDIA Vera focuses on performance per core, and Flow PPU adds scalable parallel acceleration alongside the CPU. Flow and Hot Chips logos appear at the bottom.

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Flow Computing @flow-computing.bsky.social · 29/09/2026

We presented @ #NordicChipSummit & #ScalPerf, & attended #Nordeep. Now we've joined #NordicInnovationHouse, strengthening our connections across the Nordic & US innovation ecosystems. Timo will be in the US Oct-Nov there meeting w/ people in the industry. #CPU #DeepTech #HPC #Semiconductor #FlowPPU

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Flow Computing @flow-computing.bsky.social · 24/09/2026

Different workloads need different compute. @ #HotChips the #Intel presentation showed how #CPU #GPU & #NPU support each other. For us, that is central to CPU evolution. We're not replacing it. We're adding complementary capabilities alongside it. Learn more: flow-computing.com/news/hot-chi... #HPC

Graphic for Flow Computing’s Hot Chips 2026 mini series on Intel Wildcat Lake. Text reads: “Different workloads need different compute. CPU, GPU & NPU don’t need to do the same job. They need to do the right job. That’s heterogeneous computing.” Flow and Hot Chips logos appear at the bottom.

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Flow Computing @flow-computing.bsky.social · 22/09/2026

What made Flow stand out? In Pt 2 of our Investor Series, Jon-Kåre Hansen of #Sarsia shares what differentiated us as he looked @ the technology & problem we’re solving. #ParallelPerspectives #Podcast #CPU #VC #FlowPPU #Semiconductor #HPC #DeepTech

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Flow Computing @flow-computing.bsky.social · 17/09/2026

#HotChips2026 mini series Pt 1. Dr. Christian Zoellin presented a processor supporting #IBM Z & #Arm architectures. Our takeaway: flow-computing.com/news/hot-chi... #Semiconductor #DeepTech #CPU #HPC #FlowPPU #FlowComputing #HotChipsSymposium #CPUArchitecture #ParallelProcessing #ParallelComputing

Flow Computing graphic for Part 1 of its Hot Chips 2026 mini series. Large text reads, “What IBM’s Dual-Architecture Processor Tells Us About CPUs.” Bottom text reads, “IBM Z + Arm. 1 processor. 2 ecosystems.”

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Flow Computing @flow-computing.bsky.social · 15/09/2026

The results are in. Our performance results page is live. Access benchmark results, speedup data & how #FlowPPU approaches scalable parallel performance alongside the #CPU. Review the data: flow-computing.com/performance/ #Semiconductor #ParallelComputing #HPC #DeepTech #FlowComputing #AI

Bar chart comparing leading CPUs with the Flow PPU, showing the Flow PPU delivering significantly higher performance.

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Flow Computing @flow-computing.bsky.social · 10/09/2026

Dr. Martti Forsell will be presenting at #ScalPerf26 in Bertinoro, IT. Timo Valtonen will be at #nordeepsummit, @aalto.fi connecting w/ the #DeepTech ecosystem. Come say hello & Subscribe to our newsletter for future event updates: flow-computing.com/newsletter/ #Semiconductors #CPU #HPC

Graphic featuring Flow Computing co-founders Dr. Martti Forsell and Timo Valtonen. Martti will attend ScalPerf ’26 in Bertinoro, Italy, September 13–18, where he will present “Flow Parallel Processing Unit® architecture and selected algorithms.” Timo will attend NORDEEP in Espoo, Finland, September 16–17.

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Flow Computing @flow-computing.bsky.social · 08/09/2026

Why invest in us? In Pt 1 of our investor series, we hear from Jon-Kåre Hansen of #Sarsia & Juho Risku of #ButterflyVentures to hear what 1st caught their attention 1st & why they chose to invest in us. #ParallelPerspectives #Podcast #CPU #VC #FlowPPU #HPC #InvestorPodcast #Semiconductor #DeepTech

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Flow Computing @flow-computing.bsky.social · 03/09/2026

Next week, we’ll be at #NordicChipSummit2026. 🇫🇮 Our CEO & Co-Founder Timo will join the #AI, connectivity & " #energyefficiency session w/ Tero Kola, VP at @nokia.bsky.social a& Mika Soikkeli, Senior Scientist at @vtt.fi. #NordicChipSummit #AIInfrastructure #Semiconductors #CPU #EnergyEfficiency

Black-and-white portrait of Flow Computing CEO and Co-Founder Timo Valtonen promoting his appearance at Nordic Chip Summit 2026 in Espoo on September 8. The graphic highlights the session “AI, Connectivity & Energy Efficiency” and Timo’s topic, “A disruptive view on AI factory economics and energy efficiency.”

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Flow Computing @flow-computing.bsky.social · 01/09/2026

#HotChips2026 may be over, but the conversation isn’t. 👀 We’ll be taking a closer look at some #CPU presentations from this year + sharing our perspective on where CPU architecture & performance are heading. Coming soon. For now, see at the poster we shared: flow-computing.com/hotchips-pos... #HPC

Flow Computing graphic announcing an upcoming Hot Chips 2026 content series. Flow and Hot Chips logos appear at the top above the headline “Hot Chips. Our take.” Text explains that over the next few weeks, Flow will examine selected CPU presentations from Hot Chips 2026 and share its perspective on what they mean for the future of CPU performance. A call to action invites readers to explore Flow’s Hot Chips poster.

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Flow Computing @flow-computing.bsky.social · 27/08/2026

That’s a wrap of the #HotChipsSymposium! We’ve been in the US for 2 weeks exchanging ideas, & talking about the future of #CPU performance. #HotChips was a highlight. Thank you to everyone who to talk w/ us, saw our poster, or took the time to meet w/ us, & to Fudo for being part of the journey.

Black-and-white selfie of three Flow Computing team members wearing Flow shirts and sunglasses in front of Hoover Tower at Stanford University, with dramatic rippled clouds overhead.

Black-and-white selfie of three Flow Computing team members wearing Flow shirts and Hot Chips conference badges outside a Stanford University building. A Hot Chips sign is partially visible in the foreground.

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Flow Computing @flow-computing.bsky.social · 23/08/2026

We’re ready for #HotChips2026. We'll be at the #HotChipsSymposium this week, sharing our latest #FlowPPU performance results + what we’ve been working on to enable the next gen #CPU performance. Attending? Keep an eye out for the FLOW merch. Even Fudo is rocking a #FLOW hat for the occasion! #HPC

Black-and-white selfie of four people wearing white FLOW caps in front of a New York City skyline backdrop. One person is also wearing a black FLOW shirt featuring a QR code on the sleeve.

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Flow Computing @flow-computing.bsky.social · 20/08/2026

Meet the team representing us @ #HotChipsSymposium2026. Behind every breakthrough architecture is a team turning ideas into tech. Our co-founders are here in #SiliconValley. Let's connect: flow-computing.com/hot-chips-20... #HotChips #HotChips2026 #Semiconductors #CPU #DeepTech #HPC

Black-and-white group portrait of Flow Computing's three co-founders with the heading "Get to Know Our Founders." The slide introduces the team representing Flow at Hot Chips 2026.

Portrait of Timo Valtonen, CEO & Co-Founder of Flow Computing. The slide highlights his role leading the company's strategy and commercialization.

Portrait of Dr. Martti Forsell, CTO, Chief Architect & Co-Founder of Flow Computing. The slide introduces him as the architect behind Flow's processor technology.

Portrait of Jussi Roivainen, Chief Designer & Co-Founder of Flow Computing. The slide highlights his role leading the hardware design that brings Flow's processor architecture into silicon.

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Flow Computing @flow-computing.bsky.social · 18/08/2026

We're in the US & getting ready for an exciting week of convo around the future of #CPU performance. We still have a few meeting slots available while we’re here. Interested in meeting with us and learning more about the Flow PPU? Book a meeting with us here: flow-computing.com/hot-chips-20...

Four Flow Computing team members posing together for a selfie during their trip to the United States.

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Flow Computing @flow-computing.bsky.social · 13/08/2026

#AgenticAI is changing more than software + demands placed on computing infrastructure. Recent insight from #SemiAnalysis highlights the scale of investment flowing into #AI infrastructure. AI is increasingly #agentic shifting from single prompt-response interactions to complex multistep workflows.

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Flow Computing @flow-computing.bsky.social · 11/08/2026

The future of #CPU performance starts w/ new ideas. #AI workloads are increasingly parallel, Improving CPU performance is a defining challenge. We're developing a new approach to #ParallelProcessing that works w/ CPUs, unlocking greater parallel performance + preserving existing software ecosystems.

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Flow Computing @flow-computing.bsky.social · 06/08/2026

What convinced Juho Risku @ #ButterflyVentures to invest ? In our upcoming podcast, he shares what caught his attention, why he believes #CPU architecture is approaching an inflection point, & why Flowstood out. Subscribe to our newsletter to hear the full convo 1st: flow-computing.com/newsletter/

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Flow Computing @flow-computing.bsky.social · 03/08/2026

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

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Flow Computing @flow-computing.bsky.social · 30/07/2026

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.

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Flow Computing @flow-computing.bsky.social · 28/07/2026

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.

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Flow Computing @flow-computing.bsky.social · 22/07/2026

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.

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Flow Computing @flow-computing.bsky.social · 20/07/2026

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.

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Flow Computing @flow-computing.bsky.social · 09/07/2026

#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

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Flow Computing @flow-computing.bsky.social · 07/07/2026

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.

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Flow Computing @flow-computing.bsky.social · 02/07/2026

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.

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Flow Computing @flow-computing.bsky.social · 30/06/2026

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.

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Flow Computing @flow-computing.bsky.social · 26/06/2026

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.

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Flow Computing @flow-computing.bsky.social · 17/06/2026

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

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Flow Computing @flow-computing.bsky.social · 11/06/2026

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.

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Flow Computing @flow-computing.bsky.social · 09/06/2026

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.

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Flow Computing @flow-computing.bsky.social · 08/06/2026

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.

Marcello Ranone speaking at his home university, Politecnico di Torino, during a computer architecture lecture. A presentation slide titled “From Student to Computer Architect” appears above him as he shares his journey from engineering student to working on CPU architecture and semiconductor development.

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Flow Computing @flow-computing.bsky.social · 03/06/2026

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.

Graphic highlighting two upcoming events featuring Flow Computing CEO & Co-Founder Timo Valtonen: Hello Tomorrow Investor Day & Summit in Amsterdam (June 10–11), where Flow was selected as a Hello Tomorrow Deep Tech Pioneer, and Arctic15 in Helsinki (June 12), where Timo will participate as a panelist.

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Flow Computing @flow-computing.bsky.social · 01/06/2026

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.

Black-and-white photo of Flow Computing CEO & Co-Founder Timo Valtonen presenting on stage during the DTM100 Finals at Deep Tech Momentum in Berlin, with a large screen displaying “DTM100 Finals” in front of a live audience.

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Flow Computing @flow-computing.bsky.social · 28/05/2026

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.

A minimalist grayscale graphic with a blurred bar chart in the background and the words “VALIDATED,” “MEASURED,” and “SIGNIFICANT” spaced across the top. Centered over the chart is an eye-with-a-slash icon above bold text reading “COMING SOON” and smaller text reading “New performance results.” The word “FLOW” appears at the bottom center. The design suggests upcoming benchmark or performance data that is not yet publicly visible.

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Flow Computing @flow-computing.bsky.social · 20/05/2026

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

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Flow Computing @flow-computing.bsky.social · 18/05/2026

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.

Black-and-white photo of the Flow Computing team gathered around a long dinner table at a restaurant during the Italy face-to-face week.

Color landscape photo of the Piedmont countryside in Italy with rolling hills, fields, trees, and a village in the distance during golden hour.

Black-and-white photo of the Flow Computing team exploring the city of Asti during a guided walking tour.

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Flow Computing @flow-computing.bsky.social · 15/05/2026

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

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Flow Computing @flow-computing.bsky.social · 13/05/2026

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

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Flow Computing @flow-computing.bsky.social · 07/05/2026

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

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Flow Computing @flow-computing.bsky.social · 27/04/2026

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

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Flow Computing @flow-computing.bsky.social · 23/04/2026

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

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Flow Computing @flow-computing.bsky.social · 21/04/2026

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

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Flow Computing @flow-computing.bsky.social · 16/04/2026

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.

Diagram showing the Flow PPU (Parallel Processing Unit) as a 64-core general-purpose parallel co-processor integrated alongside a CPU on a chip. The visual highlights that it unlocks scalable parallel performance, is instruction-set independent, and works with existing CPU architectures. Additional text explains it is a licensable IP block with its own software and compiler, designed to scale CPU performance while remaining backward compatible.

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Flow Computing @flow-computing.bsky.social · 14/04/2026

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.

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Flow Computing @flow-computing.bsky.social · 09/04/2026

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

Black-and-white graphic featuring robotic arms in the background with a centered white paper-style overlay. Large text reads: “just a little reminder: scalable parallel execution drives real-time sensor & signal processing.” Smaller text around the edges references robotics systems, real-time control, parallel workloads, and notes that traditional multicore CPUs struggle to scale efficiently, while Flow enables scalable parallel execution for real-time data processing.

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Flow Computing @flow-computing.bsky.social · 07/04/2026

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.

Three men standing outdoors take a selfie in front of a residential home with a garden and trees, captured on a bright, sunny day.

Group of four men from Flow Computing standing outdoors in front of a Cadence office sign in Silicon Valley, smiling during a sunny day.

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Flow Computing @flow-computing.bsky.social · 01/04/2026

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

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Flow Computing @flow-computing.bsky.social · 30/03/2026

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

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Flow Computing @flow-computing.bsky.social · 27/03/2026

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.

Simple diagram titled “Newcomer’s guide to Flow PPU” showing: (1) the problem—CPUs struggle to efficiently utilize parallel workloads, (2) Flow PPU as a general-purpose parallel co-processor alongside the CPU, (3) how it works—CPU handles sequential tasks while PPU executes parallel workloads, and (4) why it matters—improved parallel execution increases overall system throughput.

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Flow Computing @flow-computing.bsky.social · 25/03/2026

🇺🇸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

Podcast graphic with three speakers discussing how microprocessor innovation has become incremental and why general-purpose parallelism is a key future direction.

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