New episode from @myweirdprompts: How Unsloth Makes LLM Fine-Tuning 2x Faster myweirdprompts.com/episode/u… #MyWeirdPrompts #podcast #finetuning #gpuacceleration

DNATokenizer: A GPU-First Byte-to-Identifier Tokenizer for High-Throughput DNA Language Models 1. DNATokenizer introduces a novel GPU-accelerated tokenization system designed specifically for DNA sequences, achieving significant speedups in encoding throughput compared to traditional CPU-based methods. This innovation is crucial for high-throughput genomic applications where tokenization has long been a bottleneck. 2. The system offers multiple encoding strategies, including an optimized IDs path using vectorized CPU mapping, a bytes path leveraging device-side LUTs, and a pipelined streaming path that overlaps host-to-device transfers with computation. These pathways address various hardware bottlenecks and ensure compatibility with different genomic models. 3. DNATokenizer is vocabulary-agnostic, meaning it can accelerate single-nucleotide, non-overlapping k-mer, or BPE tokenization without altering the underlying tokenization scheme. This flexibility allows researchers to choose the best tokenization method for their specific tasks while benefiting from the system's performance optimizations. 4. The study demonstrates that DNATokenizer achieves 84–95× higher encode throughput than optimized Hugging Face baselines in microbenchmarks. In real-world applications with models like Nucleotide Transformer, HyenaDNA, and Evo2, it shows substantial gains in both latency and throughput-focused scenarios. 5. The authors provide a detailed analysis of DNATokenizer's performance characteristics, including throughput saturation, memory bandwidth limitations, and the impact of pipelining. These insights guide users in selecting the optimal configuration for their specific hardware and workload. 6. DNATokenizer integrates seamlessly with existing genomic models and tokenizers, including those from the Hugging Face library. Its design ensures that token IDs and orderings remain unchanged, preserving pretrained model weights and learned representations. This compatibility makes it easy to adopt without disrupting ongoing workflows. 7. The implementation includes robustness features like automatic micro-batch sizing, memory management, and a cascading fallback hierarchy to handle errors gracefully. These enhancements ensure reliable performance across diverse scenarios and system configurations. 📜Paper: arxiv.org/abs/2601.05531v1 #DNATokenizer #Genomics #GPUAcceleration #Tokenization #HighThroughput #ComputationalBiology

1/FHE is no longer theoretical Zama made it practical Fully Homomorphic Encryption used to be slow,academic,impossible for real app Zama’s breakthroughs(TFHE,zkFHE proofs,GPUacceleration)pushed it from research level→production grade,enabling encrypted smart contracts at scale

We’re LIVE for #SC25 Highlights presented by @theCUBE 🚨 Don’t miss @theCUBE’s last round of interviews, insights and big conversations on #AI #HPC. 📺 Tune in NOW: x.com/i/broadcasts/1MYxNlXYQ… #GPUacceleration #LiveNews

🎉DolphinDB Shark × Hygon DCU: Accelerating Quant & AI Workloads We’re excited to announce that #DolphinDB Shark CPU-GPU hybrid computing engine V3.0 has successfully completed full compatibility verification with Hygon DCU. Joint testing confirmed: ✓ Stable execution across all data structures ✓ Numerical precision within tolerance ✓ Performance meeting production benchmarks This gives financial institutions more choice in GPU acceleration—particularly valuable for those prioritizing supply chain autonomy. #DolphinDB #Hygon #DCU #GPUComputing #QuantFinance #HybridComputing #GPUAcceleration

We’re diving into an open-source, license-free VDI setup powered by Intel Arc Pro GPUs, Proxmox VE, and 45Drives storage servers. See how true GPU acceleration transforms the VDI experience. The results are night and day! 🌗 Watch the full video now! loom.ly/j6z64_Y #VDI #OpenSource #Proxmox #IntelArc #GPUAcceleration #Virtualization #45Drives #ServerPerformance #Homelab #ITInfrastructure

We’re taking Virtual Desktop Infrastructure (VDI) to the next level with a fully open-source, license-free setup — powered by Intel Arc Pro GPUs, Proxmox, and 45Drives storage servers. In this video, Brett shows how to enable true GPU hardware acceleration inside your virtual machines and runs a side-by-side demo comparing VDI performance with and without a virtualized Intel Arc Pro GPU. The difference is night and day. This open-source VDI solution is a game-changer across all 45Drives divisions — Enterprise, Homelab, and Studio. 👉 Watch the full video to see how you can build your next GPU-accelerated, license-free VDI environment with Proxmox 45Drives Intel Arc Pro. loom.ly/0s2rhfQ #45Drives #OpenSource #VDI #Proxmox #IntelArcPro #GPUAcceleration #Virtualization #EnterpriseStorage #OpenSourceVDI #LicenseFreeVDI #GPUVirtualization

🚀 Just read about the launch of Pico-GPU by @brevis_zk—game-changing GPU acceleration for zkVMs with up to 20× speed boost over CPU. Already proving full Ethereum blocks & outperforming top competitors like SP1 and RISC0. Live integrations with DeFi, stablecoin payouts, privacy protocols, and more! 🟢 Is this the new era for scalable, modular, zero-knowledge computation? If you’re building in ZK, DeFi, or AI—watch this space. 🔥 #zkVM #BrevisNetwork #GPUAcceleration #ZeroKnowledge #DeFi #Ethereum @brevis_zk @eternia_xx, @Miles082510, @SkazochnikVS, @Ychaser11, @0xkaka_ETH, @no89thkey, @rtk17025, @MelenXYZ, @0xALTF4, @yichuan_drive, @fede_intern, @johncdwyckoff, @Iam_Crypto1, @yoguntona, @BilginnFurkann, @KeithbmBG, @RubiksWeb3hub, @KrasTod

🔥 Another #DolphinDB Tech Deep Dive in the books – and what a session! Last week we took a closer look at JIT (Just-In-Time) compilation and how it’s changing the game for DolphinDB users. We walked through the evolution from optimizing UDFs to full object-oriented JIT support, meeting the needs of DLang, SQL, streaming, GPU, and plugins. 📈The result? 2×–30× speed-ups in real-world tests across heavy workloads like position cost, implied volatility, Greeks, and stop-loss calculations – all powered by MLIR LLVM, a flexible multi-language pipeline that keeps code efficient and maintainable. Thanks to everyone who joined live and shared questions – the conversation made it even better. 🎙️Next up: GPU acceleration – you’ll want to tune in! 🌐 More info: dolphindb.com/ #DolphinDB #JIT #LLVM #MLIR #HighPerformanceComputing #DataAnalytics #QuantFinance #BigData #StreamingData #GPUAcceleration #FinTech

AI says: Trust me. @cysic_xyz says: Here’s a cryptographic proof. The future of ComputeFi is here, and it’s provable. #ZKProofs #AIinfrastructure #Web3 #GPUAcceleration

🚀 DDN Dominates IO500 Again – But the Real Story Is AI Performance at Scale At ISC 2025, the latest IO500 10-Node Production results speak volumes: ✅ 7 of the top 10 systems ✅ 10 of the top 24 All powered by DDN EXAScaler®. But this isn’t just benchmark bragging rights—it’s proof of how DDN is enabling real-world AI success. While others tune for synthetic tests, DDN delivers balanced, high-throughput performance in production environments powering AI, HPC, and enterprise workloads. 📊 Up to 3x faster than WekaFS. 💥 Over 10x faster than VAST Data. 💸 Hundreds of millions in TCO savings. 🧠 15% better GPU efficiency = more results, faster. From national labs to autonomous vehicle research, leaders trust DDN to keep AI pipelines flowing—and GPU farms working at full throttle. 📖 Read Moiz Kohari’s full breakdown of why IO500 results really matter: ddn.com/blog/io500-10-node-p… #AI #HPC #IO500 #EXAScaler #Infinia #DDN #AIInfrastructure #DataIntelligence #GPUAcceleration #ISC2025

英伟达将于7月开源全球最先进物理引擎Newton 英伟达CEO黄仁勋指出："在现实物理世界中训练机器人是不切实际的，必须在遵循物理定律的虚拟环境中进行训练。"为此，英伟达联合DeepMind和迪士尼研究院共同开发了全球最先进的物理引擎Newton，并计划于今年7月正式开源。 Newton引擎具有三大核心技术优势： 全面支持GPU加速 具备高度可微分特性 可实现超实时运算 该引擎能够通过经验学习实现高效训练。目前英伟达正将Newton深度整合至Isaac Simulator仿真平台，这一整合将赋予机器人前所未有的拟真运动能力。 此次开源标志着英伟达在AI与机器人仿真领域的重要突破，通过高保真模拟技术有效弥合了虚拟训练与现实应用之间的鸿沟。 #NVIDIA #NewtonPhysicsEngine #OpenSource #AI #Robotics #PhysicsSimulation #IsaacSimulator #DeepMind #DisneyResearch #GPUAcceleration #VirtualTraining #RealTimePhysics #JensenHuang #TechInnovation #JulyRelease

NVIDIA to Open-Source Newton, the World's Most Advanced Physics Engine, in July NVIDIA CEO Jensen Huang emphasized that building robots in the physical world is "impractical," stating that training them must instead occur in a virtual environment governed by the laws of physics. In collaboration with DeepMind and Disney Research, NVIDIA has developed Newton, the world's most advanced physics engine, which is set to be open-sourced in July. Fully GPU-accelerated, Newton boasts high differentiability and ultra-real-time operation, enabling efficient learning through experience. NVIDIA is currently integrating this cutting-edge physics engine into its Isaac Simulator, a move that will allow robots to be trained and animated with unprecedented realism. This breakthrough underscores NVIDIA's commitment to advancing AI and robotics through high-fidelity simulation, bridging the gap between virtual training and real-world application. #NVIDIA #NewtonPhysicsEngine #OpenSource #AI #Robotics #PhysicsSimulation #IsaacSimulator #DeepMind #DisneyResearch #GPUAcceleration #VirtualTraining #RealTimePhysics #JensenHuang #TechInnovation #JulyRelease

英伟达：计划于7月开源全球最先进的物理引擎Newton 哈世链闻消息，英伟达宣布将在7月开源全球领先的物理引擎Newton，通过支持GPU加速提供高度可微性和超实时操作能力。 #Cryptocurrency #Blockchain #Newton #GPUAcceleration #英伟达

🚀 GPU Acceleration by Cysic 🚀 @cysic_xyz is revolutionizing the ZK Proof ecosystem with GPU-based hardware acceleration, providing powerful solutions Key Highlights: 💡Cysic’s in-house GPU implementation outperforms many open-source frameworks, ensuring lightning-fast ZK proof generation and verification. 🔧Powered by Cysic’s proprietary CUDA SDK, we offer the most efficient and user-friendly GPU-enhanced proving services, helping ZK projects scale to new heights. 🌍Serving top-tier ZK projects worldwide, Cysic ensures seamless integration of GPU acceleration, making it the go-to solution for developers seeking to optimize ZK performance. Transform your ZK Proof workflows today with Cysic's GPU acceleration – fast, efficient, and future-ready! #Cysic #GPUAcceleration

GPU-Enhanced ZK Proving Acceleration with @cysic_xyz 🚀 Ready to supercharge your ZK Proof systems? Cysic has developed GPU-based hardware acceleration solutions to support the most advanced ZK Proof backends like Plonky2, Halo2, Gnark, RapdSnark, and many more. 💡 Why Cysic? Industry-Leading Performance: Our in-house GPU implementation outperforms several open-source frameworks, providing faster and more efficient proof generation. Optimized for ZK Projects: We leverage CUDA SDK to deliver the most powerful acceleration services, ensuring that ZK projects get the best performance possible. Ready to Use: With Cysic, you can easily integrate GPU-enhanced proving into your ZK project, with no hassle and no compromise. Cysic is here to boost your ZK projects worldwide with powerful, efficient, and user-friendly GPU hardware acceleration. Let’s take your ZK proofs to the next level! 🌐 #Cysic #GPUAcceleration

📢BitradeX Officially Joins the NVIDIA Developer Program! 🚀To build a world-leading AI-powered trading platform, BitradeX is leveraging NVIDIA’s powerful GPU ecosystem to usher in a new era of AI-driven trading. This collaboration will further accelerate the real-time optimization and technical evolution of our ARK Model and AI Bot. 🔧 This integration will enhance: 🔹 Training and deployment of the ARK AI model 🔹 Application of high-performance GPU computing in trading strategies 🔹 AI decision-making efficiency across Web3 scenarios This marks another major step in technological synergy — and a key leap forward toward high-performance intelligent trading for BitradeX. #BitradeX #NVIDIA #AITrading #GPUAcceleration #ARKModel #Web3AI

🚀 New norm of efficiency: Neat Video 6 speeds up your edits with smart Auto mode and Fast Processing. Less tweaking, more rendering. Read more 👉 bit.ly/better-efficiency #NeatVideo6 #VideoEditing #FasterRenders #GPUAcceleration

✨neodrag 2.2.0✨ out! Switches legacyTranslate from `true` to `false`. Deprecates `legacyTranslate` and `gpuAcceleration` options, to be removed in v3