XMA’s Post

Microsoft has confirmed that its Copilot AI will soon run locally on PCs, marking a significant shift from cloud-based to on-device processing. While this change promises improved latency, performance, and privacy, it also introduces new challenges and sets the stage for a fierce competition among chipmakers. To support local AI execution, next-gen AI PCs will need to pack a serious punch, with a minimum requirement of 40 TOPS (Tera Operations Per Second) of Neural Processing Unit (NPU) performance. This benchmark surpasses the current capabilities of NPUs in Intel's Meteor Lake and AMD's Ryzen Hawk Point chips, igniting a "TOPS war" as industry giants Qualcomm, Intel, and AMD vie to power the next generation of AI-enabled PCs. While the benefits of on-device AI processing are clear, the move also raises concerns about potential increases in data gathering and user tracking. As AI becomes more integrated into our daily computing experiences, it is crucial that we prioritize transparency and give users the power to choose how their data is collected and used. As the race for 40 TOPS heats up, one thing is certain: the future of computing will be shaped by the companies that can deliver the most powerful, efficient, and secure AI processing solutions. The question is, who will come out on top? What are your thoughts on the shift towards local AI processing and the challenges it presents? Share your insights in the comments below and join the conversation about the future of AI-powered computing. #MicrosoftCopilot #LocalAI #OnDeviceAI #NPU

The next generation of AI training and inference for global enterprises begins with the new Intel Gaudi 3 AI Accelerator. Compared to its predecessor, Intel Gaudi 3 promises 4x more AI compute for BF16 and a 1.5x increase in memory bandwidth. Compared to Nvidia H100, Intel Gaudi 3 is projected to deliver 50% faster time-to-train on average across Llama2 models with 7B and 13B parameters and GPT-3 175B parameter model. Discover what Intel Gaudi 3 can do for your business here. https://intel.ly/3WvfnEL #Developer #ArtificialIntelligence #Enterprise

🚀 New white paper alert: Check out our latest on Revolutionizing AI Deployment: Unleashing AI Acceleration with Intel's AI PCs and Model HQ by LLMWare 🌐 The latest innovations in AI PCs powered by Intel Business’s Core Ultra Processors and LLMWare’s Model HQ are revolutionizing how businesses and individuals access and deploy AI. Key Highlights: 1️⃣ Next-Gen AI PCs Intel’s Core Ultra processors enable on-device AI workflows with blazing-fast inference speeds and support for Small Language Models (SLMs)—perfect for tasks like text summarization, SQL queries, and contract analysis. 2️⃣ Secure & Private Eliminate cloud dependencies with on-device AI for enhanced data privacy. Model HQ adds safeguards like PII filtering, compliance tracking, and air-gapped operation. 3️⃣ Model HQ: Simplifying AI Deployment A no-code, all-in-one platform that: Optimizes AI frameworks like OpenVINO for Intel GPUs. Automates deployment across diverse hardware environments. Beyond chatbots, includes ready-to-use tools like voice transcription and contract analysis. 4️⃣ Exceptional Performance Lunar Lake processors deliver up to 3x faster inference speeds for SLMs when paired with Model HQ than MacBook M3 Max with Llama.CPP, with significant cost and efficiency benefits for enterprises. Why It Matters: Decentralized AI is here. With AI PCs and Model HQ, AI-driven workflows are now cost-effective, secure, and accessible at the user level, empowering innovation and productivity across industries. 🌟 Ready to lead the AI revolution? Explore LLMWare.ai to see how AI PCs and Model HQ can transform your AI strategy. #AIForAll #TechInnovation #IntelCore #ModelHQ #AIProductivity

NielsenIQ is accelerating its #GenAI capabilities in a new collaboration with Intel Corporation. Together, we will leverage Intel Gaudi AI Accelerators to transform GenAI capabilities for the Consumer Intelligence industry and drive R&D to the next level. Now what does this mean? How does the Gaudi 3 AI Accelerators will benefit NIQ ? Here's an interesting analogy. Dell did a demo recently showing background blur being applied on a Zoom call on an ordinary PC vs AI PC. The CPU utilisation in ordinary PC shot up more than 8% whereas in AI PC, applying the same effect locally on the NPU (Neural Processing Unit) the CPU was barely troubled at 1% utilisation. That means a 38% compute power improvement on a single machine. On an Enterprise/Server level, the Gaudi 3 AI accelerator can provide 500x compute power in training our AI models which is unprecedented! Find out more about our AI-powered advanced analytics solutions: https://lnkd.in/g_P-9SAR #AI #DataAnalytics #PredictiveAnalytics #NielsenIQ #NIQ #GenAI #GenerativeAI #AI

Accelerate Your AI Journey with Intel Xeon 🚀 Looking to harness the power of AI for your business? This graphic from Intel® AI Champions highlights how Xeon processors can help you achieve your AI goals, no matter where you are in your journey. ➡️ Four Stages of AI Adoption: 1️⃣ AI integrated into existing applications: Xeon excels at running AI functions within your current applications for real-time inferencing. 2️⃣ AI as one of many workloads: Xeon provides the performance and efficiency to handle AI alongside other demanding workloads, maximizing your infrastructure utilization. 3️⃣ AI as the primary workload: For dedicated AI applications and services, Xeon delivers the horsepower needed for large-scale training and inferencing. 🎯 Xeon Leadership: * Meet application SLAs with optimal performance and TCO. * Maximize total data center TCO for diverse AI workloads. * Handle demanding AI tasks like continuous training and large-scale inferencing. 💡 Key takeaway: Whether you're just starting with AI or running complex AI models, Intel Xeon processors offer a scalable and powerful platform to accelerate your AI initiatives. #AI #ArtificialIntelligence #IntelXeon #DataCenter #Innovation #Performance #Efficiency #DigitalTransformation

Imagine an AI assistant that doesn't just answer your questions, but plans, adapt, and thinks ahead—handling complex, multifaceted requests easily. This isn't a distant future; it's happening now and reshaping the AI landscape. I've just published a new article on Substack that delves into how the disruptive use of multiple specialized Large Language Models (LLMs) and agentic architecture is revolutionizing AI assistants. Key insights from the article: The Disruptive Power of Multiple LLMs: Why relying on a single LLM isn't enough for today's complex tasks and how a network of specialized models enhances capability. Serving LLMs on Xeon CPUs and Gaudi HPUs: How optimizing for both platforms accelerates AI inference, offering scalability and cost-efficiency without compromising performance. Critical Components You Can't Ignore: The vital roles of embedding models, reranking mechanisms, and guardrails—and the risks of neglecting them. The Impact of AMX Optimization on Intel Xeon CPUs: How leveraging Advanced Matrix Extensions (AMX) is a game-changer for AI workloads, maximizing existing hardware investments. Understanding these advancements isn't just interesting—it's imperative for CxOs and advanced AI developers. Strategically deploying varying model sizes and types optimize resource utilization and positions organizations to adapt swiftly to evolving user needs and technological breakthroughs. Are you curious to know more? Read the full article here: [Link to Substack Post in comment] And for those ready to take a deep dive, our premium content offers: An in-depth implementation guide for deploying an optimized LLM serving solution on Xeon 6 processors. OpenAI-Compatible API Integration: Learn how to create an API that seamlessly fits into the OpenAI ecosystem. Let's push the boundaries of what's possible in AI together. #AI #LLM #AgenticAI #IntelXeon #GaudiHPU #MachineLearning #Innovation #TechLeadership #IamIntel

The AI chip wars could see the U.S. cap Nvidia and AMD exports - Quartz: The AI chip wars could see the U.S. cap Nvidia and AMD exports  Quartz http://dlvr.it/TFMx8M #ai #artificialintelligence

During her SXSW keynote, AMD Chair and CEO Lisa Su spoke about the transformational impact of AI and how AI PCs enable creators to do more in far less time, and at higher quality. Read all the details in Fierce Electronics. https://lnkd.in/gxY2HZVi #SXSW #AI #AMD

AMD Is Making Great Strides in AI, May End Up Merging With Intel, you can read the full article here: https://lnkd.in/dX8MAtYW @technewsworld #news #technologynews #tech #technology #interesting

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