Elio V.’s Post

Experts anticipate high-bandwidth memory (HBM) bit demands will reach 972 million GBs by 2027 due to its powerful memory capabilities. Learn why advanced packaging is critical and how Lam Research’s tools scale HBM to enable the future of AI via The_TechArena. #IFoundLam #LifeAtLam

Nobody likes noise when they’re trying to do their job – including PCIe links. With Gen6 now here, noise and jitter are slowing systems down and preventing us from exploring what AI can do. The memory wall is not budging. Our latest blog looks at the next phase in the evolution of AI, what’s holding it back, and how Kandou’s Chord™ Signaling solution delivers the next level noise to signal efficiency designers will find invaluable in starting to unlock AI at scale. You can read the blog in full on our website here. https://lnkd.in/d-HfWjga #ai #scalingai #connectivitysolutions

Personal Handheld Device Industry Game Changer: Rabbit R1 #ai Rabbit R1 is going to be a game changer in the handheld consumer device industry. Sign up for our free weekly newsletter to stay up to date on all Artificial Intelligence news, advancements and breakthroughs as well as the latest Chat GPT prompts: Newsletter@AIexplorationacademy.com Watch the full Video here: https://lnkd.in/eHPUVFwe #artificialintelligence #aiexploration #technology #rabbitr1

Make a scene or go unseen. Stealth mode-ready and AI-enabled. Performance featuring up to Intel Core Ultra 9. #AI #AIPoweredLaptops #TechInnovation #IntelCoreUltra9 #BusinessLaptops #NigeriaTech #SmartTech #HighPerformance #LaptopSale #TechNigeria #UpgradeYourTech #StealthModeLaptop

Want to learn how technologies like NVIDIA's Spectrum-X are being used to safeguard AI applications? In this #OCPSummit2024 session, explore how NVIDIA is tackling the critical issue of performance isolation within muti-tenant AI environments. Worth going through the recording.

"The next wave is the wave of inference. Right now, we are in the training wave, where we train algorithms to meet our performance goals. The next wave will be about inference: how to integrate them everywhere, into existing systems, our phones, and more." AI is on the radar with William Eldin, CEO of XXII, as he shares insights at #VivaTech!

Unlock the future of AI with Dataknox Solutions. Be the first to experience groundbreaking advancements by pre-ordering Intel Gaudi 3, Nvidia H200, and GH200. Don’t miss your chance to stay at the cutting edge of AI innovation. Secure your order now and ensure your business is ready for tomorrow's challenges. #FutureTech #AI #Innovation #AIHardware #Dataknox #TechRevolution #AIInnovation #NextGenAI #DeepLearning #MachineLearning #AITech #CuttingEdge #PreOrderNow #TechLeaders #AdvancedComputing #SmartTech

Wondering what's behind AI's explosive growth? Don't miss our recent podcast with Intel's Dennis Fallis. He breaks down what is driving AI deployments and reveals Intel's latest AI accelerator innovations. Get the inside track on 'AI Everywhere.'

Lockheed Martin’s New Generative AI: Boosting Efficiency - LMText Navigator: A secure, in-house generative AI tool for improving code generation, post-mission analytics, and document analysis. - Powered by NVIDIA DGX SuperPOD, it scales AI deployment across Lockheed's operations while ensuring data security. - Part of the broader AI Factory, which accelerates AI-enabled solutions from prototype to production, enhancing operational and customer-focused outcomes. - Over 8,000 engineers are using AI Factory to integrate repeatable AI models in high-assurance applications. Read more: https://lnkd.in/dyfGn567 #AI #Innovation #EnterpriseTech #DigitalTransformation

MIT spinoff Liquid AI has introduced its first multimodal AI models, Liquid Foundation Models (LFMs), which are not based on the widely used Transformer architecture. Liquid AI has designed three LFM models with varying parameter sizes (1.3B, 3B, and 40B MoE), optimizing them for memory efficiency while outperforming similarly sized Transformer-based models. Already, Liquid AI says the LFM 1.3B version outperforms Meta’s new Llama 3.2-1.2B and Microsoft’s Phi-1.5 on many leading third-party benchmarks including the popular Massive Multitask Language Understanding (MMLU). The company is optimizing its models for deployment on hardware from NVIDIA, AMD, Apple, Qualcomm, and Cerebras. By combining state-of-the-art performance with unprecedented memory efficiency, LFMs offer a compelling alternative to traditional transformer-based models. Let's try liquid ! Earlier this year Capgemini and Liquid AI announced a collaboration to build next generation AI applications for enterprise. #AI #MachineLearning #NonTransformerAI #Innovation #MIT #LiquidAI #EfficientAI #FoundationModels Philippe Cordier Alex Marandon Alex Bulat- van den Wildenberg Sofiane Schaack, PhD Nicolas Brunel https://lnkd.in/eiJpdN5w