Numenta’s Post

🚀 Let's Talk #AI... 💻 GPU (Graphical Processing Unit): The backbone of AI training, GPUs in servers accelerate the crunching of numbers, outpacing conventional CPUs. The dynamic duo of GPUs and AI will remain a focal point of tech conversations. 🤖🔥 ⚙️ HP100: Not just an acronym, but a buzzword in AI. H100 GPUs are stealing the spotlight, delivering lightning-fast processing power for training models. Get ready to hear more about H100 as it becomes a key player in the AI landscape. 🌐✨ #GPU #H100 #AITransformation #TechInnovation #DataCenters #AIData 🚀💻

🚀 Let's Talk #AI... 💻 GPU (Graphical Processing Unit): The backbone of AI training, GPUs in servers accelerate the crunching of numbers, outpacing conventional CPUs. The dynamic duo of GPUs and AI will remain a focal point of tech conversations. 🤖🔥 ⚙️ HP100: Not just an acronym, but a buzzword in AI. H100 GPUs are stealing the spotlight, delivering lightning-fast processing power for training models. Get ready to hear more about H100 as it becomes a key player in the AI landscape. 🌐✨ #GPU #H100 #AITransformation #TechInnovation #DataCenters #AIData 🚀💻

Dell PowerEdge R760xa Server - Maximize your workload performance and boost outcomes with scale as you grow compute, flexibly supporting a wide range of GPUs. Accelerating applications from AI training and inferencing to Digital Twins. Get a quote: https://lnkd.in/gGfUvtc2 #ai #hpc #AIInference #GPU #MachineLearning #ArtificialIntelligence #generativeAI

Are CPUs coming back into the picture for large-scale AI inference? Numenta's platform, NuPIC, is enabling companies to run large AI workloads on CPUs - no GPUs required. Request a demo to learn more: numenta.com/demo

Just found out today that I’ll be speaking at this year’s Explore 2024 Las Vegas conference in August. If you’re going come check out Session 2189: AI without GPUs: Using your existing CPU resources to run AI workloads GPUs are expensive, hard to acquire, and extremely powerful, but there are many AI/ML applications that can run just fine without GPUs. This session will cover how to use your existing CPU resources to run AI workloads, what you can do, what you shouldn't do, and what types of problems you can solve without using any GPUs at all.

Why We Don’t Need Our Own GPUs: At 🔗Gintonic AI, we tap into a decentralized network of GPU clusters, removing the need for costly in-house infrastructure. 💸 Instead, we use a reward-based model where GPU providers are compensated for their resources, keeping our network flexible, accessible, and scalable as demand grows. 🚀 Say goodbye to hardware limitations, and hello to unlimited computing power! #DecentralizedAI #GPU #TechInnovation #ScalableAI #GintonicAI

Are you wondering if you can get more performance out of our cuBLAS library for matrix multiplies applications like LLMs? Check out this great new article by Babak Hejazi for understanding matrix multiply performance on our most advanced GPUs and new features and APIs like grouped GEMMs that are important for Mixture-of-Experts (MoE) models. #cuBLAS #GPUs #MatrixMultiplication #PerformanceOptimization

 With the Akhet Server VarioFlex 5U with dual GPU and the high performance computing platform Akhet VarioScaler xI with multiple dual GPUs, Pyramid Computer GmbH is presenting two new systems at Embedded World that are optimized for machine learning applications. In addition to both systems, a camera bar is shown that includes two 48MP cameras and an ARM Cortex A73 with integrated NPU. The machine vision solution recognizes objects based on a trained model. https://lnkd.in/eBnaCeVc #machinevision #imageprocessing #edgecomputing #embeddedsystems #machinelearning #ai #deeplearning

Of course GPUs get all the press, but deep-learning AI on #CPUs are rolling as the edge comes alive. alwaysAI handles both environments.

Heading to NVIDIA GTC next week? Learn how you can deploy high-performing LLMs, without working about cost and availability of GPU hardware. How? Join Domino Data Lab’s Josh Mineroff, PhD and Deci AI’s Assaf Katan for a session where they’ll demonstrate how Deci can accelerate inference speed by 3x, on GPUs that are likely already in your data center, all through Domino’s Enterprise AI platform. They’ll walk through an example of an LLM-powered application, deployed via Domino’s platform as a model API to Infery, Deci’s optimization and inference engine SDK. Learn more: https://lnkd.in/gsDJjrn9 #llms #generativeai #gtc2024