Most AI infra talks about scale. @hyperbolic_labs talks about accountability. On chain proofs for GPU inference means you don’t just run models. You prove they ran honestly. Not trustless hype. Just real time verifiability…! #Hyperbolic #ProofOfSampling #CryptoAI

🧵 Hyperbolic's 5-Layer AI Stack — Building the Future of Decentralized AI In the realm of AI, infrastructure is paramount. Hyperbolic is pioneering a decentralized AI stack, meticulously designed to be open, scalable, and verifiable. Let's delve into its five foundational layers: 👇 1/ 🔧 Decentralized Orchestration Layer At the core lies Hyper-dOS, orchestrating a global network of GPUs. Features include: 🔸Auto-scaling 🔸Self-healing clusters 🔸Customizable configurations This layer ensures efficient and resilient compute resource management. 2/ 🤖 AI Services Layer Built atop the orchestration layer, it offers: 🔸Inference services 🔸Model training & fine-tuning 🔸AI model evaluation 🔸Vector databases & embeddings 🔸Retrieval-Augmented Generation (RAG). Empowering developers to build and deploy AI solutions seamlessly. 3/ 🛡️ Verification & Privacy Layer Ensuring trust and confidentiality through: 🔸Proof of Sampling (PoSP): A sampling-based verification protocol ensuring AI inference integrity. 🔸Confidential Computing: Advanced cryptographic techniques safeguarding data and computations. These mechanisms uphold the security and reliability of AI outputs. 4/ ⛓️ Blockchain Layer Facilitates: 🔸Transparent settlement of tasks and rewards. 🔸Governance through smart contracts. 🔸Arbitration and verification processes. This layer anchors the ecosystem in transparency and decentralization. 5/ 📦 Application Layer The interface where users engage with AI-powered applications, such as: 🔸GPU Exchange platforms. 🔸Revenue-sharing AI agents. 🔸AI-powered DAOs. 🔸Fractionalized GPU ownership models. Enabling innovative applications beyond traditional Web2 capabilities. Why It Matters ❓ Hyperbolic's architecture isn't just a tech stack; it's a paradigm shift towards: ✅ Democratized access to AI resources. ✅ Enhanced trust in AI outputs. ✅ Fostering innovation through open infrastructure. A future where AI is accessible, verifiable, and collaborative. @hyperbolic_labs @hyperbolic_eacc @d_u_bbles #Hyperbolic #DecentralizedAI #AIInfrastructure #OpenAccessAI #ProofOfSampling #BlockchainAI

Brilliant breakdown, PoSP turns trust into incentives. This is what makes @hyperbolic_labs more than just cheap GPUs. It’s real decentralized AI. 🔥 #HyperbolicLabs #ProofOfSampling #spML #DecentralizedAI #AIInfrastructure #Web3AI

In a decentralized world, trust has to be earned.. not assumed. 😉 That’s why @hyperbolic_labs built Proof of Sampling (PoSP) a lightweight protocol that verifies AI computations without re-running them.⚡ It works like random ticket checks on a subway: → You don’t inspect every ride. → But the chance of getting caught keeps everyone honest. PoSP applies that same logic to inference: → Random audits → Game-theoretic penalties → Minimal overhead → Scalable trust No extra compute. No blind faith. Just proof. ✅ 🔗 Learn more: hyperbolic.xyz/blog #Hyperbolic #ProofOfSampling #DecentralizedAI #AIInfra #BuilderStack

In a decentralized world, trust has to be earned.. not assumed. 😉 That’s why @hyperbolic_labs built Proof of Sampling (PoSP) a lightweight protocol that verifies AI computations without re-running them.⚡ It works like random ticket checks on a subway: → You don’t inspect every ride. → But the chance of getting caught keeps everyone honest. PoSP applies that same logic to inference: → Random audits → Game-theoretic penalties → Minimal overhead → Scalable trust No extra compute. No blind faith. Just proof. ✅ 🔗 Learn more: hyperbolic.xyz/blog #Hyperbolic #ProofOfSampling #DecentralizedAI #AIInfra #BuilderStack

🔓 Breaking Barriers in Open-Source AI: Insights from Dr. Jasper Zhang, CEO of Hyperbolic Labs At the Coinbase Machine Learning & Blockchain Research Summit, Dr. Jasper Zhang, co-founder and CEO of @hyperbolic_labs, delivered a compelling keynote on a mission that’s reshaping the future of AI: making AI compute power accessible to all. From open models to decentralized GPU clouds, here’s a breakdown of his vision to democratize AI innovation and accelerate global progress. 🎓 From PhD Prodigy to AI Infrastructure Pioneer Dr. Zhang’s journey is as fast-paced as the AI models he supports: ▪️Fastest-ever Math PhD graduate from UC Berkeley (2 years) ▪️Math Olympiad gold medalist, Peking University undergrad ▪️Past roles at Avalanche and Seattle Securities ▪️Now building Hyperbolic: an on-demand AI cloud empowering open-source builders 🧠 The Rise of Open-Source AI Models Jasper highlighted how open-source AI models are no longer playing catch-up—they’re competing head-to-head with closed models: 🔹DeepSeek v3 matches GPT-4 performance for only $6M in compute 🔹Quen3 outperforms OpenAI on live code generation 🔹Other domain-specific breakthroughs: DeepCoder (code), Huanyuan (3D assets), etc. This shift is proof that innovation doesn’t need a $100M budget anymore. ⚙️ Open Infrastructure Is Powering the Movement Model quality is one side of the coin; the other is infrastructure. Jasper noted: ▫️Tools like SGLang and vLLM now rival in-house inference engines ▫️Hyperbolic uses both to deliver ultra-fast, scalable inference ▫️Open-source fine-tuning and evaluation frameworks (Axolotl, Java Arena, MMLU...) are maturing rapidly Together, they form a solid open-source stack—models, infra, training, and eval. 🧱 The True Bottleneck: Compute Access But there's a catch: even with open software, hardware is still scarce. GPUs are the "new soil" of AI, and they're tightly held by big tech or simply sitting idle. Hyperbolic’s answer? Turn the world into one giant GPU network. 🌐 Enter Hyperbolic: The Decentralized GPU Cloud At the heart of this vision is HyperDOS, a lightweight distributed operating system: 🔸Turns any machine into a node in minutes 🔸Enables auto-scaling, self-healing, and global orchestration 🔸Aggregates underused GPUs (e.g., retired crypto miners, idle datacenter GPUs) This lowers compute costs dramatically—training a DeepSeek-class model could cost < $3M on Hyperbolic, with a path to <$1M soon. 🔒 Trust Without Waste: Proof of Sampling (PoSP) To ensure integrity in a decentralized GPU mesh, Jasper introduced a novel mechanism: Proof of Sampling. Inspired by real-world economics (like random bus ticket checks in Switzerland), PoSP uses: ▪️Randomly selected validators to occasionally verify results ▪️Heavy slashing penalties to disincentivize cheating ▪️Async verification to preserve low latency for users 🌍 Sustainability by Design Unlike cloud providers building massive new data centers, Hyperbolic repurposes idle compute across the globe: 🔹No extra land, electricity, or capital needed 🔹Home GPUs, university clusters, retired miners—all welcome 🔹A greener, smarter way to scale AI 💬 Final Words from Jasper “Our goal is simple: to democratize AI innovation and accelerate AI evolution. If you want to build in public and contribute to AI for all—join us.” Hyperbolic is not just building infrastructure. It’s building a movement—one where AI belongs to the many, not the few. Follow along to learn more! Website: hyperbolic.xyz X: @hyperbolic_labs @hyperbolic_eacc @d_u_bbles @zjasper @Yuchenj_UW Discord: discord.gg/hyperbolic Youtube: youtube.com/@hyperbolic-labs Linkedin: linkedin.com/company/hyperbo… #HyperbolicLabs #HyperDOS #ProofOfSampling #OpenSourceAI #DemocratizeAI #AIForEveryone #DecentralizedCompute

Hyperbolic and x402 Power Autonomous AI with Wallet-Native Inference @hyperbolic_labs has announced support for Coinbase’s x402 protocol, marking a significant advancement in AI infrastructure. This integration enables AI agents to autonomously access Hyperbolic’s Serverless Inference services by making HTTP requests embedded with per-call USDC payments, eliminating the need for traditional API keys or manual billing setups. What Is x402? x402 is an open, HTTP-native payment protocol developed by Coinbase. It revitalizes the long-unused HTTP 402 “Payment Required” status code to facilitate seamless, on-chain payments using stablecoins like USDC. Designed with AI agents and APIs in mind, x402 allows for real-time, per-use payments without the need for accounts, subscriptions, or API keys. This protocol is chain-agnostic, supporting various blockchains and tokens, and is built to be easily integrated into existing web infrastructures. Hyperbolic’s Integration with x402 By integrating x402, Hyperbolic enables AI agents to access its Serverless Inference API through simple HTTP requests that include x402 payment headers. This setup allows agents to autonomously fund and execute inference tasks in real-time, optimizing their operations without human intervention. A demonstration by Hyperbolic showcased an AI agent utilizing a self-reflexive payment loop to fund its own inference, highlighting the protocol's potential for autonomous AI workflows. Implications for AI and Web Payments The adoption of x402 by Hyperbolic signifies a shift towards more autonomous and efficient AI systems. By removing the friction associated with traditional payment methods, AI agents can now operate with greater independence, accessing and paying for services as needed. This development also opens up new monetization models for developers and content creators, enabling per-use payments without the need for subscriptions or complex billing systems. Getting Started with x402 Developers interested in implementing x402 can access resources and documentation through the official x402 website and Coinbase’s developer platform. The protocol is designed for easy integration, requiring minimal code changes to start accepting or making payments. With the integration of x402, Hyperbolic is at the forefront of creating a more autonomous and efficient AI ecosystem, paving the way for innovative applications and services that can operate seamlessly in a decentralized environment. #AutonomousAI #x402 #ServerlessInference #HyperbolicLabs #OpenAccessAI #ProofOfSampling

- addressing verification and scalability challenges with precision - @hyperbolic_labs 🪻 #ProofOfSampling ensures trustless computation through a game-theoretic approach. 🔹 Sampling Rate Dynamics: Nodes are verified at rates based on reputation new nodes face a 30% check rate, dropping to 5% for established ones. This reduces computational overhead by 60% compared to full rechecks. 🔹 Economic Incentives: Staking $HYP tokens (min 1000 $HYP) with slashing for dishonesty ensures a Nash Equilibrium where honest behavior is the optimal strategy. 🟦 #spML Security and Efficiency #spML enhances #PoSP for ML-specific tasks, outperforming traditional methods. 🔹 Against #zkML: Reduces proof generation latency from 500ms to 50ms for a 7B parameter model, cutting overhead by 70%. 🔹 Against #opML: Lowers fraud vulnerability from 15% to 2% using random validator challenges and economic staking. 🟦 Scalability Through #HyperDOS #HyperbolicLabs’ #HyperDOS architecture organizes GPUs into planetary clusters for efficient scaling. 🔹 Supports 10k concurrent inference requests with 1B tokens/day throughput. 🔹 Achieves 99.9% uptime with real-time backups, ideal for enterprise AI workloads. 🟦 Cost Efficiency Impact #Hyperbolic slashes inference costs to $1/token versus AWS’s $5/token at peak. 🔹 Enables small-scale devs to access high-end GPUs with pay-as-you-go plans. 🔹 Monetization of idle GPUs in 10s, fostering a global compute marketplace. 🟦 Future Outlook for Decentralized AI #ProofOfSampling and #spML position #HyperbolicLabs to drive trustless AI marketplaces. 🔹 Expect 5x adoption growth by 2026 for cost-sensitive use cases like real-time NLP. 🔹 Integration with #EigenLayer AVS verification could enhance L2 blockchain security. #gHyperbolic #DecentralizedAI #AIInference #Hyperbolic #HyperBolicLabs #GPUs

The future of Artificial Intelligence is here with Hyperbolic Labs.We provide OpenAccess to GPU computing capacity for developers worldwide. Perform AIInference operations with ProofOfSampling for cutting-edge security.We provide a collaborative platform for AI development. Envision going large with projects without suffering financially. Hyperbolic Labs is your gateway to high-performance, decentralized computing.What do you think about SecureAI solutions? Let us hear @hyperbolic_labs #HyperbolicLabs

Securing decentralized AI with Proof of Sampling spML on @Hyperbolic_Labs 🔐 Privacy Trust AI = next-gen tech 💥 No bad data, just smart, secure learning. #AI #Privacy #DecentralizedAI #Blockchain #HyperbolicLabs #spML #ProofOfSampling

AI future is here with Hyperbolic Labs We provide OpenAccess to GPU compute for devs across the globe. Run AIInference workloads with ProofOfSampling for unbeatable security. Our solution allows for a collaborative platform for AI innovation. Imagine scaling your projects without overpaying. Hyperbolic Labs is your gateway to efficient, decentralized computing. What do you think of SecureAI solutions? We want to hear @hyperbolic_labs #HyperbolicLabs

Proof of Sampling (PoSP): A New Approach to Trust in Decentralized AI Compute @hyperbolic_labs has introduced Proof of Sampling (PoSP), a new method for ensuring trust in decentralized AI compute. One of the biggest challenges in decentralized computing is verifying that computations are accurate without needing to redo them entirely, which can be costly and inefficient. Traditional verification methods, like zero-knowledge proofs, often sacrifice efficiency for security, making them difficult to scale for large AI workloads. PoSP solves this problem by using random sampling instead of checking every computation. This approach balances efficiency and trust without adding excessive computational costs. The process works as follows: A compute node, called an asserter, performs a calculation and submits a cryptographic commitment of the result to an orchestrator. The orchestrator then decides whether to accept the result or challenge it by selecting random validators. These validators redo the same computation and submit their own cryptographic commitments. If the results match, the asserter is rewarded. If they do not, the asserter is penalized. This system is based on game theory principles, ensuring that providing correct results is always the most profitable strategy. Since dishonest behavior leads to penalties, participants have a strong incentive to be accurate. One of the key benefits of PoSP is that it scales efficiently. Unlike other verification methods that require extensive computation, PoSP ensures accuracy with minimal overhead. This makes it ideal for handling large-scale AI tasks, including those processing billions of tokens daily. PoSP also reduces costs. Traditional cloud computing platforms like AWS and Google Cloud charge high prices for GPU resources. By using a decentralized network of GPUs and a more efficient verification process, @hyperbolic_labs offers lower-cost AI computing. Currently, the cost of renting an H100 SXM GPU on Hyperbolic starts at $1.40-$1.50 per hour. In comparison, AWS charges $3.25 per hour, while Google Cloud’s pricing reaches $15.00 per hour. This significant price difference makes AI computing more accessible to startups and researchers. Beyond cost savings, PoSP improves trust in AI applications that require high accuracy, such as medical diagnostics and scientific research. It ensures that AI-generated results are reliable without requiring excessive verification steps. PoSP is also a core part of @hyperbolic_labs' larger decentralized system, Hyper-dOS, which organizes GPU clusters in a structured way to maximize efficiency. The system helps distribute workloads effectively, improving performance and reliability for AI developers. The impact of PoSP extends beyond Hyperbolic’s platform. EigenLayer, a project focused on securing Actively Validated Services (AVS), has adopted PoSP to verify computations efficiently. This suggests that PoSP could become a widely used standard for ensuring trust in decentralized computing. Looking ahead, PoSP has the potential to make AI computing more accessible by lowering costs and improving verification processes. While challenges like GPU availability and competition from centralized providers remain, @hyperbolic_labs' recent funding and academic collaborations position it as a strong player in the industry. By combining efficiency, cost savings, and reliability, PoSP provides a scalable solution for decentralized AI. As the demand for AI computing grows, PoSP could become an important standard for ensuring trust in distributed systems. @hyperbolic_eacc @d_u_bbles #DecentralizedAI #ProofOfSampling #PoSP #AICompute #BlockchainAI #HyperbolicLabs #GPUComputing #AIInfrastructure #Web3AI #MachineLearning #EigenLayer #CloudComputing

🚀 Hyperbolic: Democratizing AI with Decentralized Compute Power 🔥 The Problem Soaring GPU costs and monopolization by giants (#NVIDIA, #AWS, #GoogleCloud) stifle innovation. AI startups and researchers hit resource walls; open-source models struggle with #InferenceCosts. 🟣 The Solution #HyperdOS: Aggregates idle GPUs into a scalable, decentralized network. #ProofOfSampling (PoSP): Ensures AI output quality without centralized control. #GPUMarketplace: Live product offering 75% cheaper compute vs. AWS (#CloudCosts). #OpenSourceAI: Optimizes accessibility for community-driven AI models. 📊 Traction & Impact 40,000 developers actively building (#AICommunity, #DevTools). 1B tokens processed daily (#TokenEconomy); partnerships with #Quora, #HuggingFace, #Stanford, #UCBerkeley, and more. $20M funded, operational, and market-tested (#Web3, #CryptoAI). ❓ The Big Question Can #DecentralizedAI outpace cloud giants? Hyperbolic bets yes, but challenges remain: Will developers embrace #DecentralizedInfrastructure over traditional systems? Can decentralized networks scale to rival #BigTech monopolies? 🌐 Hyperbolic’s Edge While most #Web3AI projects focus on #Tokenomics, Hyperbolic delivers real products, reshaping #AIFuture—today. 👉 Follow @hyperbolic_labs @hyperbolic_eacc @zjasper @d_u_bbles

🚀 Introducing #Hyperbolic: The Future of AI Computing! 🚀 #HyperbolicAI is not just another project; it's a revolution in #ArtificialIntelligence and #DecentralizedComputing. Here's what makes it stand out: Decentralized AI Infrastructure: Hyperbolic aggregates #GPU computing power worldwide, reducing costs and resources spent on AI computing. This means more accessible and affordable AI for everyone. Security and Authenticity: Leveraging #Blockchain technology, Hyperbolic ensures its network runs securely and authentically, protecting your data and operations. Innovation at Its Core: From novel verification mechanisms like #ProofOfSampling to ensuring data privacy through secure enclaves, Hyperbolic pushes the boundaries of what's possible with AI. Community-Centric: Hyperbolic believes in empowering its community. With no private investors, the focus is on returning value directly to users through innovative reward systems. Vision for the Future: Imagine a world where your AI applications aren't limited by hardware or centralized control. Hyperbolic is making this a reality, aiming for a future where AI is universally accessible, enhancing creativity and innovation across the globe. Join us in this journey towards democratizing AI technology. Engage with our community, dive into our docs, or attend our webinars. Let's build the future of AI together! Learn more at Hyperbolic's website : hyperbolic.xyz/ discord : discord.gg/hyperbolic #AIForAll #Web3AI #Innovation @hyperbolic_labs