Open.Intel’s Post

Are you going to Amazon Web Services (AWS) re:invent in few weeks? I’m excited to join Antony Vance, Principal Engineer at Intel, and Jon Handler,Senior Principal Solutions Architect at AWS, where we’ll demystify GenAI and empower you to build and deploy cutting-edge applications. In our session, we’ll explore the Open Platform for Enterprise AI (OPEA), a collaborative framework that simplifies GenAI deployments. You'll also learn how to optimize Retrieval Augmented Generation (RAG) pipelines on AWS, leveraging the power of Intel® Xeon® processors and the OpenSearch Project. Register for this session to learn how Intel and OPEA are shaping the future of AI. Register here: https://lnkd.in/gsUUt6n7 #IAmIntel #AWS #reInvent #GenAI  

Well this is good news! HPE and NVIDIA announce advancements in Generative AI (GenAI) solutions. New offerings include: Pre-configured full-stack solutions for development, training, and deployment of GenAI applications. HPE Machine Learning Inference Software for faster deployment of ML models at scale. Reference architecture for building GenAI applications with private data. Future products leveraging NVIDIA Blackwell platform for accelerated GenAI workloads. More to come. https://lnkd.in/gSuTHx8e

🚀 Exploring the Future of AI with OCI! 🚀 Last week, We had the exciting opportunity to deploy a BM.GPU.A100-v2.8 instance on Oracle Cloud Infrastructure (OCI), featuring 8 powerful NVIDIA A100 GPUs, this shape is designed to push the boundaries of high-performance computing and AI model training. Setting up this powerhouse was straightforward, but the experience felt like charting a new frontier in AI and machine learning capabilities. Working with this cutting-edge technology has been both a privilege and a thrill, opening up a world of possibilities for deploying and fine-tuning custom Large Language Models (LLMs) at scale. 💡🤖 I'm looking forward to harnessing the power of these GPUs to accelerate our AI projects and dive deeper into innovative solutions that drive business value and technological advancements. #AI #MachineLearning #OCI #NVIDIAA100 #CloudComputing #Innovation #Technology #OracleCloud

AI inference workloads are used across many industries and often require accelerator-optimized compute that is efficient, secure and scalable. If you're thinking about how to ensure your AI solution will handle the AI inference loads that keep your business moving forward, download this brochure showing how Hewlett Packard Enterprise, NVIDIA and VMware have created an AI inference solution made of four key building blocks.

AI inference workloads require accelerator-optimized compute with exceptional efficiency and scalability. If you're curious about your AI solution's ability to handle AI inference loads, download this brochure showing how Hewlett Packard Enterprise, NVIDIA and VMware have created an AI inference solution made of four key building blocks.

AI inference workloads require accelerator-optimized compute with exceptional efficiency and scalability. If you're curious about your AI solution's ability to handle AI inference loads, download this brochure showing how Hewlett Packard Enterprise, NVIDIA and VMware have created an AI inference solution made of four key building blocks.

AI inference workloads require accelerator-optimized compute with exceptional efficiency and scalability. If you're curious about your AI solution's ability to handle AI inference loads, download this brochure showing how Hewlett Packard Enterprise, NVIDIA and VMware have created an AI inference solution made of four key building blocks.

AI inference workloads require accelerator-optimized compute with exceptional efficiency and scalability. If you're curious about your AI solution's ability to handle AI inference loads, download this brochure showing how Hewlett Packard Enterprise, NVIDIA and VMware have created an AI inference solution made of four key building blocks.

AI inference workloads require accelerator-optimized compute with exceptional efficiency and scalability. If you're curious about your AI solution's ability to handle AI inference loads, download this brochure showing how Hewlett Packard Enterprise, NVIDIA and VMware have created an AI inference solution made of four key building blocks.

AI inference workloads require accelerator-optimized compute with exceptional efficiency and scalability. If you're curious about your AI solution's ability to handle AI inference loads, download this brochure showing how Hewlett Packard Enterprise, NVIDIA and VMware have created an AI inference solution made of four key building blocks.