🚀 Why You Should Use Redshift with Cinema 4D 🚀 👉 Read full review here: radarrender.com/why-should-y… #Cinema4D #Redshift #3DRendering #MotionGraphics #3DArt #GPUAccelerated #VisualEffects #CGI #RenderFaster

. @miranetwork operates on base Ethereum L2 for lowcost, highthroughput verification tasks, leveraging optimistic rollups while settling consensus proofs to Ethereum mainnet for finality​ node operators need 32 ETHequivalent stake minimum plus technical setup for GPUaccelerated models with vetted Phase 1 access before open permissionless entry​ claim decomposition uses semantic parsing to extract atomic propositions while preserving logical dependencies, enabling precise error localisation in multistatement AI outputs

Diving into ADIChain's Development Engine today from their quickstart docs, because this zkEVM setup on zkSync is worth a look for any dev eyeing scalable builds. 1. Sequencer handles transaction ordering and execution in a highavailability mode with hot failover, plus restricted networking to shut down spam or denial attacks, keeping things smooth and secure. 2. Prover uses Airbender tech for STARK to SNARK compression, GPUaccelerated for subminute proofs, even subsecond on small batches, making verification quick without the usual drag. 3. L1 Verifier and Bridge connects to Ethereum, verifying batches, updating state roots via smart contracts, and using OutboxInbox for secure messages and nearinstant withdrawals once proofs clear. Why it matters: Modularity lets you customize without overhauls, security features cut risks like spam, scalability shines with fast proofs, and full Ethereum equivalence means familiar tools work seamlessly. Stands out from other zkEVMs with that zkSync base and optimized compression for efficiency. My take: Solid backbone for DeFi or gaming dApps that need real speed and trust, I'm not reinventing wheels here, right? Hope this helps level up your builds. Check the @ADIChain_ and thoughts?

0G – High-Speed Swarm AI Ecosystem! One million lightweight agents working together like a swarm, delivering throughput far beyond a single large model. ⚡ Speed: GPU-accelerated for near-instant responses. 🛡 Transparent & Trustworthy: Multi-agent consensus ensures every decision is decentralized and fair. 🧩 Modular Scalability: Easily upgrade and expand as needed. In his latest @DL_Research interview, 0G CEO @michaelh_0g highlights why the future needs an AI-ready Web3 stack: → Data Availability for real-time coordination → Compute for verifiable inference → Indexing for memory and context recall Join now to be part of the pioneering AI Web3 platform where performance, speed, and community grow together! @0G_labs @KaitoAI #0G #AI #Web3 #HighThroughput #GPUAccelerated #Decentralized

Unleash the power of GPUs for omics! 🚀 Join our Hackathon. Learn from NVIDIA & scverse experts and contribute to open-source tools. Applications close Aug 27, 2025. Don't miss out! #Omics #Hackathon #GPUaccelerated #DataScience LINK: developer.nvidia.com/acceler…

After doing some research, I can say that with ZK technology everything is possible @cysic_xyz is powering the Boundless ZK proof marketplace with ultra fast, GPUaccelerated proofs and custom ZK ASICs. Together, they’re the foundation for a new generation of ZK infrastructure Boundless? A permissionless ZK proving layer that unlocks unlimited computation for any blockchain without sacrificing security you all know that 😁😁 Interoperability becomes trustless
Compute becomes abundant The future of Web3 is ZK first and it putting into use in every aspect to some builder

Did you know? @cysic_xyz isn’t just making ZK faster they’re powering real time, verifiable AI using GPUaccelerated ZK proofs, achieving up to 10x faster performance.

Hard to say exactly what it’s capable of—or how it’ll perform just yet—but the more it comes together, the more serious it looks. 📡🔍 #dualusrp #signalsdrpro #ltesniffer #gpuaccelerated

Cysic’s proving stack is fully vertically integrated built from the ground up, in-house. @cysic_xyz •Custom ZK hardware •GPUaccelerated provers Already pushing 1.33M Keccak ops/sec on our ASICs. This is ZK at production scale. Gmsor to you all

Cysic’s proving stack is fully vertically integrated built from the ground up, in-house. @cysic_xyz •Custom ZK hardware •GPUaccelerated provers •A verifiability-first L1 Already pushing 1.33M Keccak ops/sec on our ASICs. This is ZK at production scale. Gmsor to you all

💡 Thread: Fermah — Rethinking Confidential Computing for ZK-Proof Infrastructure Sometimes the biggest breakthroughs aren’t loud. Fermah is building something that quietly solves a core problem in the ZK space — how to prove without exposing. And the solution? Confidential Proving Delegation (CPD) — a protocol, a network, and an emerging standard for privacy-native ZK infrastructure. Let’s unpack it 🧵 1/ Privacy ≠ Performance Bottleneck The rise of ZK tech brings both power and complexity. Proving zero-knowledge statements is computationally expensive — even more so when you don’t want to leak metadata in the process. Fermah tackles this head on: → Offload proving → Preserve privacy → Scale securely Sounds like magic? It’s CPD. 2/ What the hell is CPD? Confidential Proving Delegation lets any app or chain outsource proof generation without exposing sensitive data. It’s trustless. Chain-agnostic. Confidential. The trick? Splitting encrypted data verifiable compute offloading. Your secrets stay encrypted. The proof still gets made. 3/ Fermah = Universal Proof Market Fermah isn’t just a protocol — it’s a marketplace for zero-knowledge proving. Think: → GPU, CPU provers → ZK workloads (Groth16, zkVMs, zkEVMs) → Privacy-preserving by default Apps plug in. Provers compete. Privacy scales. All while keeping users’ secrets, well—secret. 4/ Partnership Power Moves Fermah isn’t building in isolation. Recent collabs show how serious this is: •@Ingo_zk — powering CPD with GPU-acceleration via ICICLE •@mintair_xyz — one-click prover deployment for seamless scaling •All driving chain-agnostic, high-speed, encrypted proving infra. The ecosystem is quietly snapping into place. 5/ Matchmaker, Matchmaker 🔐 A unique part of Fermah is its Matchmaker — middleware in the CPD flow that: → Distributes encrypted proving tasks → Ensures secure compute delegation → Enforces incentive alignment This is what makes CPD feel like infrastructure, not just tooling. 6/ Not Just Talk — Live Infra 🚀 CPD is not a whitepaper dream. It’s running. Testnets, partnerships, and active case studies (see ICICLE) show how CPD performs in the wild. Web3 apps needing privacy scale finally have a path that doesn’t force tradeoffs. 7/ TL;DR Fermah is:
✅ A decentralized proof market ✅ Built on Confidential Proving Delegation ✅ Powered by zero-knowledge, encrypted data flow ✅ Live with GPU acceleration strong partner support Privacy infrastructure isn’t coming. It’s here—and Fermah’s powering it. 🔍 Dive deeper: @fermah_xyz 🧊 ICICLE collab (x.com/fermah_xyz/status/1945…) 🤝 Mintair announce (x.com/fermah_xyz/status/1944…) #Fermah #ZK #ZeroKnowledge #CryptoPrivacy #DecentralizedInfrastructure #Web3 #ProofMarkets #CPD #zkEVM #ConfidentialComputing #modularblockchains #GPUaccelerated

coderlegion.com/3232/graids-… @GraidTechnology #MultiCloud #GPU #RAID #ErasureCoding #NVMe #SSD #DataProtection #DPU #ITPT #GPUAccelerated #DevTools #HighPerformance #StoragePerformance #AIInfrastructure

🧠 LLMs are growing up—are you ready to scale with them? From pilot projects to production powerhouses, Large Language Models are transforming how organizations operate. But with that evolution comes serious challenges: ⚙️ Complex data pipelines 🚀 Performance bottlenecks ☁️ Multi-cloud chaos Join DDN Vultr on May 20 at 11 AM ET for an exclusive webinar: Experimentation to Production” 🔍 Learn how leading enterprises use GPU-accelerated infrastructure to streamline LLM deployment and drive real-time insights from generative AI. 💥 Don’t miss this deep dive into scaling smart. 👉 RSVP now: ddn.com/technical-deep-dive-… #DDNAcceleratesAI #GenerativeAI #LLM #AIInfrastructure #MultiCloud #GPUaccelerated #Webinar #ScalableAI #DDN #Vultr #DataIntelligence

Can running TensorFlow on a NVIDIA GPU be compared to trying to fit a square peg into a round hole? Source: devhubby.com/thread/how-to-r… #computervision #programming #tensorflow #gpuaccelerated #nvidia #technology

6/ Key Offerings: AI Drops: AI optimized infrastructure with NVIDIA GPUs. Validators: Custom servers for running ProofofStake validators. StartUp Kit: Web3compatible toolkit with VPSs, web hosting, domain registrations, SSL certificates, and more. Mining Module: GPUaccelerated mining infrastructure.

I just added the %�c magic to #biabob. It can be used to replace common image processing code by corresponding #GPUaccelerated code 🔬🖥️🚀 github.com/haesleinhuepf/bia…

Introduction to #GPUaccelerated #BioImageAnalysis using #clesperanto by @StRigaud / @institutpasteur 🔬🖥️🚀 #PoLBIAS23

It's some form of #GPUaccelerated scikit-learn's Random Forest Classifiers napari-hub.org/plugins/napar…

My slides about #GPUaccelerated #BioImageAnalysis using #clesperanto are available #openaccess. 🔬🖥️🚀🔓 It's my last slide deck for #NeubiasPasteur23. Thanks for having me @StRigaud @jytinevez et al. I had a blast! f1000research.com/slides/12-…

Tiled 3D #GPUaccelerated image processing @TheCrick HPC cluster causes stitching artifacts (as expected) which make @TillKorten, Jon Smith and myself very happy 🤩🔬🖥️🚀