#acceleratedcomputing kết quả tìm kiếm

Introducing RunMat Accelerate: The Fastest Runtime for Your Math runmat.org/blog/runmat-ac…

@dylan522p Has a good take on this. Cloud based inference is collocated with the data and can produce far more tokens per second than locally make it much more responsive.

GPU clouds like @TensorPool use ACS to cut storage costs, improve GPU utilization, and move training jobs seamlessly between clusters and providers.

Join Pradeep Vincent for a deep-dive into how the Acceleron silicon chip innovation slashes energy use, secures data, and boosts bandwidth for Gen AI workloads. social.ora.cl/60107ehQI

📢 Tomorrow: Edge AI, accelerated. linkedin.com/events/7394899… Discover how Agilex™ 3 FPGAs and SoCs boost performance, efficiency, and scalability for edge AI workloads, plus hear from industry experts.

💡 @MistralAI's new Mistral 3 family of open-source multilingual and multimodal models are engineered for unprecedented accuracy and efficiency through deep optimization across NVIDIA #acceleratedcomputing platforms. As a MoE model, Mistral Large 3 enables efficiency that…

At ACS, we’re building S3‑compatible object storage optimized for global low‑latency reads and writes, so your inference workloads actually feel “real‑time,” not “almost there.”

📣 Swing by our booth (#1022) at #AWSreInvent to discover the NVIDIA #acceleratedcomputing technologies that are reinventing the next generation of computing and AI infrastructure. Don't miss your chance to: ✅ Get an exclusive look at the #NVIDIABlackwell architecture ✅ See…

I'm also fond of the accelerator pattern, e.g. instead of embedded assembly or FFI that breaks abstractions, we can develop a safe intermediate language for bit-banging or GPGPUs then 'accelerate' its interpreter as a runtime feature.

Why choose between control and speed? BUZZ High Performance Computing delivers both. Instantly scale AI workloads, optimize costs, and maintain full control. Unleash your compute today: 🔗 buzzhpc.ai

"By 2030, $3-4T of data center infrastructure will shift to accelerated computing, with roughly half of that capex replacing existing CPU-based systems to support AI and large-scale workloads." $NVDA

Nvidia invests $2 billion in EDA giant to forge strategic partnership...ic-pcb.com/nvidia-invests… @nvidia @Synopsys #EDAtools #AIChipDesign #AcceleratedComputing #Omniverse #SemiconductorIndustry #chipdesign #HBM #Micron #TSMC #AdvancedPackaging #AIEngineering

Accelerating Probabilistic Response-Time Analysis: Revised Critical Instant and Optimized Convolution. arxiv.org/abs/2512.01381

Jensen: "In 2016, it was 90% CPUs and 10% GPU-accelerated. This year, that entire mix has flipped over the course of the last decade. We've now shifted it to 90%, accelerated computing, and 10% general-purpose computing. The same shift is going to happen in this industry. The…

Accelerate: faster iteration, higher efficiency, deeper thinking!

In the paper, we show that this strategy generalizes over query types, image pools, and base retriever architectures. We further develop two acceleration strategies: Pre-computing embeddings of various attributes, or using linear approximation for novel attributes at test time.

Exploring Parallelism in FPGA-Based Accelerators for Machine Learning Applications. arxiv.org/abs/2511.11640

That hardware accel flips the script on zkML latency imagine agents crunching real-time data without the wait. Betting on early adopters from the AI side, boss.

So yes, sure, you can be excited about the acceleration but you have to think about where it is coming from. There will be an end to compute scaling (due to Ahmdal's law but due to practical limitations well before that) and then it's down to model design innovation

NVIDIA #CUDA-X libraries form the backbone of quantum research. ⚡ From faster decoding of quantum errors to designing larger systems of qubits, researchers are using CUDA-X to push past the limits of classical computation, bringing the power of #acceleratedcomputing to…

🧪 NVIDIA #acceleratedcomputing is enabling scientific breakthroughs for materials discovery with NVIDIA Holoscan and ALCHEMI. Learn how we're advancing chemistry and material science with nano-imaging in real-time and 10x faster chemical simulations. 🔗 Read the blog:…

💡 Are your data centers optimized for the next era of AI? With the #AcceleratedComputing learning paths, #IT teams can learn how to boost performance while reducing TCO and energy costs. 🛠️ Gain hands-on experience with accelerated computing fundamentals. 📈 Learn techniques…

🌍 With the #acceleratedcomputing platform, NVIDIA is fueling global scientific discovery at #SC25. Announcing over 80 new scientific systems in the last year, these systems deliver a combined 4,500 exaflops of #AI performance for breakthroughs in biology, climate, quantum…

🌍 With the #acceleratedcomputing platform, NVIDIA is fueling global scientific discovery at #SC25. Announcing over 80 new scientific systems in the last year, these systems deliver a combined 4,500 exaflops of AI performance for breakthroughs in biology, climate, quantum…

🧪 NVIDIA #acceleratedcomputing is enabling scientific breakthroughs for materials discovery with NVIDIA Holoscan and ALCHEMI. Learn how we're advancing chemistry and material science with nano-imaging in real-time and 10x faster chemical simulations. 🔗 Read the blog:…

#AcceleratedComputing is fueling an energy revolution. AI data centers now consume power like entire cities. The grid can’t keep up. This is why: Liberty Energy $LBRT delivers modular gas power today. $Oklo brings next-gen nuclear baseload tomorrow. Energy is no longer just…

Our #CUDA-X libraries form the backbone of quantum research. ⚡ From faster decoding of quantum errors to designing larger systems of qubits, researchers are using CUDA-X to push past the limits of classical computation, bringing the power of #acceleratedcomputing to…

💡 What’s next for industrial and computational engineering? Explore how AI Physics, #acceleratedcomputing, and real-time digital twins are shaping the future. See how we are building the platform for the next generation of engineering innovation. 👉 nvda.ws/476weCD

Join us at #OCPSummit25 on October 13-16 for sessions on the latest advancements and innovations in our #acceleratedcomputing platform. ✅ Using MGX Racks and Digital Twins to Convert Any Data Center Into an AI Factory | nvda.ws/472deoA ✅ Revolutionizing Networking…

Check out our sessions at @OracleAIWorld on how we are expanding access to #acceleratedcomputing in the cloud and accelerating AI workloads. #AIWorld ✅ Accelerate AI: Optimize GPU Access, Compliance, & Streamline Dev-to-Deploy Tools | nvda.ws/46NMdDY ✅ How Top…

By incorporating #AI, #acceleratedcomputing, and #simulation, the company can enhance its efficiency, innovation, and competitive edge

At an awards ceremony this evening in Detroit, Michigan, the @AutoHallOfFame named Jensen Huang, @NVIDIA Co-Founder and CEO, as the 2023 Mobility Innovator Award winner, recognizing his work in transforming the transportation industry through #AI and #acceleratedcomputing.

What a way to kick off #NVIDIAGTC2025! 🚀 Vertiv’s own Martin Olsen and IDC’s Sean Graham took the stage to present Data Center Vision 2030, diving into the future of AI-driven infrastructure and the evolution of #acceleratedcomputing. Stay tuned - this is just the start!

What is the future of industrial and computational engineering? It's a new paradigm of AI physics, #acceleratedcomputing and real-time digital twins. Join NVIDIA Distinguished Engineer Neil Ashton for the premiere of our new Industrial Engineering Livestream series on Thursday,…

🎉 #HotChips2025 is almost here. Join our expert sessions to explore the groundbreaking advancements the #NVIDIABlackwell architecture brings to generative AI and #acceleratedcomputing. Register for these sessions now: 🔥 RTX 5090: Designed for the Age of Neural Rendering…

Join NVIDIA’s Tim Costa at #SEMICONWest for his keynote on how CUDA-X, #acceleratedcomputing, #physicalAI and next-gen #AIfactories are transforming semiconductor design and manufacturing. Discover how our technologies drive innovation, enabling next-generation chip…

Check out the announcements shared by our CEO Jensen Huang—featuring new semiconductors, software and systems to power data centers, factories, consumer devices, robots and more. nvda.ws/3yNB5tJ #COMPUTEX2024 #acceleratedcomputing

NVIDIA has introduced a self-paced course, called AI Infrastructure and Operations Fundamentals, to provide enterprise professionals with essential training on the infrastructure and operational aspects of #AI and #acceleratedcomputing. Learn more now. nvda.ws/4beysyA #IT

Join us at #SEMICONWest to discover how AI, #acceleratedcomputing, and digital twins are transforming the semiconductor industry—from chip design to manufacturing. Register for our keynote and explore our must-see sessions: ✅ Keynote: AI Supercomputing for Next-Generation…