1️⃣ Vercel Security Checkpoint shows why verifiable access matters. In POCI Distributed Computing, trust starts with bot detection, request filtering, and remote proof. 2️⃣ From VRFs to Byzantine agreement, secure coordination needs verifiable execution. That also echoes isolated environments and TEE-backed integrity. 3️⃣ POCI connects secure compute with scalable systems. Clear proofs, safer workloads. #POCI #DistributedComputing utnet.org/

Diagrid is a developer of foundation-level technologies for workflows and autonomous AI agents. It is also the company behind the Distributed Application Runtime (Dapr). The organisation… dlvr.it/TSzzzz #Applications #AgenticAI #Dapr #DistributedComputing - Follow us!

New research from Nu Quantum suggests that distributed quantum computing systems could offer improved resilience and scalability, even in the event of individual processor failures. newelectronics.co.uk/content… #QuantumResilience #DistributedComputing #FutureTech

Mainstream infrastructure developers are now turning to DAO blockchain models to solve AI's latency problem. Hyperscale data center era is ending. Distributed wins. 🧵 🔗 facilitiesdive.com/news/smal… #DecentralizedAI #Blockchain #DAO #AIInfra #DePIN #Web3 #DistributedComputing

Why Big Tech’s nuclear gamble reveals the fragility of centralized AI xtraverse.org/information/ne… #EnergyCrisis #GreenTech #DistributedComputing #DeA #DistributedComputing

What if your smart meter wasn't just measuring electricity? What if it was generating revenue for you by providing AI and compute services to the grid or institutions? Every meter. A compute node. Every home. Part of a distributed intelligence network. That's the future of Nelix #Nelix #EdgeAI #DistributedComputing #SmartMeters #AIInfrastructure #EdgeComputing #DigitalInfrastructure #FutureOfAI #ComputeInfrastructure #AfricaTech

„Intelligenz wird eine Utility wie Strom oder Wasser.“ (Sam Altman) Aber wessen Intelligenz eigentlich? ⚡️ Pluralis Research baut ein öffentliches, verteiltes KI-Training mit vielen Rechnern, ohne zentrale Kontrolle und mit Open-Source-Ansatz. Wem gehört eigentlich Wissen? cephei.blog/intelligenz-am-z… #AI #OpenSource #Pluralis #DistributedComputing #FutureOfAI

Quantum Tiger @quantumtigerhq Raises Pre-Seed at $2M Valuation #SovereignAI #AIInfrastructure #EnterpriseAI #DistributedComputing #EdgeAI #DeepTech #PreSeed #Funding the-saas-news.ghost.io/news/…

Capacity Markets Could Be the Next Big Shift in Cloud Computing For years, enterprises have viewed cloud computing through a familiar lens: buy from the hyperscalers, optimize spend, and architect for scale. But that model may be evolving. We may be entering an era where compute capacity is bought and sold more dynamically, not just from the major cloud providers, but from any organization with excess infrastructure to offer. If that sounds a bit like an energy market, that’s because the analogy fits. Compute is increasingly becoming a tradable resource. This is a compelling idea for a few reasons. First, it could lower costs. Excess capacity sitting idle in one organization could become a valuable asset for another enterprise that needs burst compute, AI processing, analytics, or HPC resources. Second, it could improve overall efficiency. Instead of constantly building new infrastructure, the market could make better use of what already exists. Third, it introduces more competition into the ecosystem. That matters at a time when many enterprises are looking for leverage, flexibility, and alternatives to overdependence on a small number of dominant providers. But let’s be clear: spare capacity does not equal cloud maturity. The hyperscalers are not just renting servers. They provide operational discipline, automation, provisioning, billing, observability, identity management, support, SLAs, and security at scale. Any capacity-market model that hopes to succeed will need to solve for those same enterprise-grade expectations. There are also real risks. Capacity can disappear when the original owner needs it back. Security and compliance become more complex. Data gravity still matters. Portability remains harder in practice than in PowerPoint. So yes, I believe this model has real potential. But the winners won’t just be the organizations with excess compute. They’ll be the brokers, platforms, and intermediaries that can make this fragmented capacity look, feel, and operate like a trusted cloud service. If that happens, cloud computing won’t disappear. It will expand into something bigger: a true marketplace for compute. #CloudComputing #CapacityMarkets #EnterpriseIT #DigitalTransformation #FinOps #CloudStrategy #AIInfrastructure #HybridCloud #DistributedComputing #TechnologyLeadership Capacity markets could reshape cloud computing infoworld.com/article/417086…

فخورة جدًا بالحصول على جائزة أفضل مشروع تقني (Best Technical Project) في المعرض الحاسوبي الثاني بـ @KFUPM_CCM Enhancing Scheduling Efficiency in Cloud/Fog Systems via an Adaptive Hungarian-Based Framework ركّز على تحسين جدولة المهام في بيئات الـ Cloud/Fog Computing باستخدام إطار تكيفي قائم على خوارزمية Hungarian، بهدف رفع الكفاءة وتقليل زمن الجدولة وتحسين استغلال الموارد. سعيدة بهذه التجربة وبالنقاشات الملهمة مع أعضاء هيئة التدريس والباحثين والزوار، والتي زادتني حماس للاستمرار في هذا المجال البحثي والتطبيقي. كل الشكر للدكتور Ayaz ul Hassan Khan على دعمه وتوجيهه المستمر وشريكتي في البحث 🌿 الحمدلله هذا من فضل ربي ♥️ #KFUPM #ComputingExpo #CloudComputing #FogComputing #DistributedComputing #Research #TechnicalWinner

@12:12 Bullshit. Fuck you, and your datacenter! You want compute? I have compute! While it's not enough in itself to do the job, sign me, and 200,000 other desktop users up, and we'll rent you one of our PCs! #DistributedComputing

A Distributed Solution to the AI Energy Crisis: Are Pi Network Nodes the Next-Gen Data Centers? Today, the world of Artificial Intelligence (AI) faces a massive deadlock: Computational power and energy consumption. While industry giants debate submerged data centers at the bottom of the ocean or utilizing the vacuum of space for cooling, Dr. Nicolas Kokkalis and the Pi Network team offer a far more rational and revolutionary alternative: Decentralized Distributed Infrastructure. 1. The Trillion-Dollar Question: Agentic Payments & Infrastructure The "Agentic Payments" (AI agents making autonomous payments to one another) being discussed by leaders from Coinbase and Cloudflare is not just a software protocol. It requires a robust "railway" to validate these transactions in seconds. With the world's largest KYC-verified user base in Web3, Pi Network provides the ultimate "Proof of Personhood" ecosystem where these AI agents can interact and transact with total security. 2. Power in Our Homes, Not Under the Ocean While traditional data centers leave a massive carbon footprint, Pi Network’s Decentralized Node Infrastructure dissipates energy and heat across the globe instead of concentrating it in a single location. • Low Cost: No need for multi-billion dollar cooling systems. • High Availability: The failure of a single data center cannot bring the system down; Pi’s ecosystem has millions of redundant lines. • Protocol Level: Pi’s protocol is not just a cryptocurrency; it is a hybrid architecture designed to manage the flow of both data and value. 3. Pi Ecosystem: A Ready-to-Use Marketplace for AI An AI agent needs more than just raw processing power; it needs a marketplace to monetize that power. Pi Network offers: • Millions of Real Users: A massive audience ready to test and utilize AI services. • Liquidity and Economy: Apps within the Pi ecosystem serve as the most efficient testing ground for agentic payments. Conclusion: The Future is "Shared," Not "Centralized" While the giants look toward the skies or the depths of the sea, Pi Network looks toward the ground—directly at the devices in people's hands. Nicolas Kokkalis’s vision is built on transforming idle processing power (via Nodes) into the world’s largest decentralized AI server. When AI agents begin to navigate the global economy, their "homeland" won't be cold metal boxes at the bottom of the ocean; it will be the global, democratic, and decentralized network of Pi. #PiNetwork #Web3 #AI #AgenticWorkflows #DistributedComputing #NicolasKokkalis #CryptoEconomy #Mainnet

A Distributed Solution to the AI Energy Crisis: Are Pi Network Nodes the Next-Gen Data Centers? Today, the world of Artificial Intelligence (AI) faces a massive deadlock: Computational power and energy consumption. While industry giants debate submerged data centers at the bottom of the ocean or utilizing the vacuum of space for cooling, Dr. Nicolas Kokkalis and the Pi Network team offer a far more rational and revolutionary alternative: Decentralized Distributed Infrastructure. 1. The Trillion-Dollar Question: Agentic Payments & Infrastructure The "Agentic Payments" (AI agents making autonomous payments to one another) being discussed by leaders from Coinbase and Cloudflare is not just a software protocol. It requires a robust "railway" to validate these transactions in seconds. With the world's largest KYC-verified user base in Web3, Pi Network provides the ultimate "Proof of Personhood" ecosystem where these AI agents can interact and transact with total security. 2. Power in Our Homes, Not Under the Ocean While traditional data centers leave a massive carbon footprint, Pi Network’s Decentralized Node Infrastructure dissipates energy and heat across the globe instead of concentrating it in a single location. • Low Cost: No need for multi-billion dollar cooling systems. • High Availability: The failure of a single data center cannot bring the system down; Pi’s ecosystem has millions of redundant lines. • Protocol Level: Pi’s protocol is not just a cryptocurrency; it is a hybrid architecture designed to manage the flow of both data and value. 3. Pi Ecosystem: A Ready-to-Use Marketplace for AI An AI agent needs more than just raw processing power; it needs a marketplace to monetize that power. Pi Network offers: • Millions of Real Users: A massive audience ready to test and utilize AI services. • Liquidity and Economy: Apps within the Pi ecosystem serve as the most efficient testing ground for agentic payments. Conclusion: The Future is "Shared," Not "Centralized" While the giants look toward the skies or the depths of the sea, Pi Network looks toward the ground—directly at the devices in people's hands. Nicolas Kokkalis’s vision is built on transforming idle processing power (via Nodes) into the world’s largest decentralized AI server. When AI agents begin to navigate the global economy, their "homeland" won't be cold metal boxes at the bottom of the ocean; it will be the global, democratic, and decentralized network of Pi. #PiNetwork #Web3 #AI #AgenticWorkflows #DistributedComputing #NicolasKokkalis #CryptoEconomy #Mainnet

Everything starts with computing power. It’s not just about access—it’s about where it comes from, and how much it costs. Most AI systems today still rely on expensive, centralized compute. They’re powerful, but they limit scalability. For agents to operate autonomously, they need computing power that is flexible, global, and cost-efficient. #VORAN is exploring a new approach: rooted in Ho Chi Minh City, combining advantages in land and energy costs, policy environment, and regional connectivity— to explore building distributed AI compute nodes, transforming underutilized resources into more reliable computing supply. Focused on real computing scenarios, with transparent and verifiable architecture, serving global AI developers and institutional needs. As AI evolves, computing power may matter more than we think. #AIComputing #DistributedComputing #AIInfrastructure #AgenticAI

How HoloFuel Actually Works: A Beginner's Guide Beyond the Price Chart: youtu.be/peHB17_haR8?si=7Ikl… #Holochain #Holo #HoloFuel #MutualCredit #DecentralizedHosting #DePIN #Web3 #CloudAlternative #DistributedComputing #PeerToPeer #BlockchainAlternative #BeginnersGuide

2026年4月2日，Postquant Labs正式推出 @quipnetwork 量子区块链测试网，这是面向全球开放的首个分布式量子计算区块链测试网络，上线即吸引超13000名研究人员注册参与，成为量子计算与区块链融合的重要里程碑。 该测试网与量子计算龙头D-Wave深度合作，搭载其Advantage2™量子退火计算机，专注攻克复杂优化问题，探索量子算力如何让区块链更安全、更节能。 不同于传统区块链的哈希挖矿，它测试网采用优化问题挖矿机制，参与者可通过量子计算机、CPU、GPU等多元算力解题，完成任务即可获得QUIP代币激励，让量子优势从实验室走向可验证、可参与的开放网络。 项目坚持开源开放，代码托管于GitHub，节点部署文档在Gitbook公开，鼓励全球开发者运行节点、优化方案、共同夯实底层架构，让量子优势成为可验证的真实成果，而非单纯概念宣传。 在安全层面，测试网采用后量子安全架构，抵御量子算力对传统加密的威胁；跨链设计支持EVM、Solana等多链，用户无需转移资产即可参与，比特币等主流链适配也在推进中。 D-Wave与Postquant Labs均表示，量子与区块链的结合，将重塑分布式计算的安全与效率边界，此次测试网为全球科研界提供了协同实验、加速技术落地的核心平台，助力建立统一的量子区块链国际标准。 随着测试网全面开放，量子计算与区块链的跨界融合正从前沿探索迈向规模化实践，Web3与分布式算力的未来迎来全新可能。 完成社交任务获取 $Quip → quest.quip.network/airdrop?r… vault.quip.network/?ref=0xc5… #QuantumBlockchain #PostQuantumSecurity #QuipNetwork #Web3 #DistributedComputing

1/5 🧵 Why has distributed GPU networking been so difficult to implement for so long? And how does PlexAi overcome this challenge? Many people believe that distributed computing equals high latency and insecurity. This is a misconception. Today, we'll delve into the underlying logic of PlexAi: the "Instant-Dispatch Protocol." 👇 2/5 ⚡️ Extremely Low-Latency Scheduling: We don't use traditional polling mechanisms. PlexAi utilizes a physical distance sensing algorithm to allocate AI tasks to the geographically most suitable node within milliseconds, ensuring minimal data transmission latency. 3/5 🛡️ Privacy and Verification: Computing power providers cannot spy on task content. Through our distributed sharding technology, computing tasks run in a TEE (Trusted Execution Environment), ensuring data privacy and 100% verifiability of results. 4/5 🔄 Elastic Scaling: Whether it's a single 4090 or a cluster of H100, PlexAi enables seamless integration. Our protocol dynamically allocates "fuel" based on task complexity, achieving true on-demand computing power. 5/5 💡 Conclusion: In the past, computing power was rigid. With PlexAi, computing power is like flowing liquid energy. The future of DeAI is efficient, secure, and permissionless. #PlexAi #DeAI #Web3Tech #DistributedComputing #GPU #TechnicalDeepDive

Your GPU has the power to change the world. 🧬 Join PlexAi, and your computing power will support cancer research, climate simulation, and large-scale model training. Don't let computing power be locked in server rooms; let it flow to where innovation is most needed. Join us and illuminate the intelligent future with your devices! 🌐✨ #PlexAi #DistributedComputing #JoinUs #TechForGood

The consensus for 2026: The end of AI is computing power, and the cure for computing power is DePIN. 🚀 The walls of centralized computing giants are being built high, but PlexAi chooses to tear them down. Our core vision has never wavered: Make GPUs fueled: Connect the computing power of every device to the network, igniting the AI ​​revolution. Make computing accessible to everyone: Lower the barrier to entry for developers, making intelligent computing no longer the privilege of giants. While you're discussing cryptocurrency prices, PlexAi is building the physical foundation for next-generation artificial intelligence. Join us and turn your graphics card into the engine driving the future. 💻🔥 #PlexAi #ArtificialIntelligence #DistributedComputing #GPU #Web3Infrastructure

🧠🌐 Pi’s Unique Edge: Distributed Computing Human Intelligence at Scale 🌐🧠 ✅ 421,000 Nodes (1M CPUs) – ready for distributed computing ✅ Tens of millions of KYC-verified Pioneers – can opt in for human-in-the-loop AI training ✅ Compensation in Pi – real rewards for real contributions This isn't just a blockchain. It's a one-stop service for AI clients – combining machine power with authentic human input. 🔥💚 PIONEERS — Would you opt in to help train AI systems and earn Pi? 👇 #PiNetwork #AI #DistributedComputing @PiCoreTeam