Lenovo announced the Lenovo ThinkSystem V4 portfolio of Intel-based solutions, powered by Intel® Xeon® 6 processors and designed to make AI accessible while flexibly matching the specific workloads needs of any business. The portfolio includes new AI-enabled solutions that ensure the right mix of AI is available to help customers seamlessly integrate AI into their workflows with new servers that are purpose-built and optimized to maximize performance and efficiency for targeted workloads. Additionally, new AI-powered Lenovo Systems Management solutions now use generative AI to automate and simplify deployment and configuration across increasingly distributed computing networks.
Lenovo Delivers Next Generation of Intel-Based Infrastructure Solutions to Simplify the AI Journey for Businesses of All Sizes
Aurora Supercomputer Ranks Fastest for AI
At ISC High Performance 2024, Intel announced in collaboration with Argonne National Laboratory and Hewlett Packard Enterprise (HPE) that the Aurora supercomputer has broken the exascale barrier at 1.012 exaflops and is the fastest AI system in the world dedicated to AI for open science, achieving 10.6 AI exaflops. Intel will also detail the crucial role of open ecosystems in driving AI-accelerated high performance computing (HPC).
The Importance of Protecting AI Models
In this contributed article, Rick Echevarria, Vice President, Security Center of Excellence, Intel, touches on the growing importance of protecting AI models and the data they contain, as this data is often sensitive, private, or regulated. Leaving AI models and their data training sets unmanaged, unmonitored, and unprotected can put an organization at significant risk of data theft, fines, and more. Additionally, poorly managed data practices could result in costly compliance violations or a data breach that must be disclosed to customers.
Intel Gaudi 2 Remains Only Benchmarked Alternative to NV H100 for GenAI Performance
Newest MLPerf results for Intel Gaudi 2 accelerator and 5th Gen Intel Xeon demonstrate how Intel is raising the bar for generative AI performance across its portfolio and with its ecosystem partners.
Intel Innovation 2023 Highlights
Tuesday morning (Sept. 19, 2023), Intel kicked off its third annual developer event, Intel Innovation 2023, virtually and in San Jose, California. During the Day 1 keynote, “Developing the Future of the Siliconomy,” Intel CEO Pat Gelsinger, and a variety of customers, unveiled an array of technologies and applications that bring artificial intelligence everywhere and make it more accessible across all workloads.
Deci delivers breakthrough inference performance on Intel’s 4th Gen Sapphire Rapids CPU
Deci, the deep learning company building the next generation of AI, announced a breakthrough performance on Intel’s newly released 4th Gen Intel® Xeon® Scalable processors, code-named Sapphire Rapids. By optimizing the AI models which run on Intel’s new hardware, Deci enables AI developers to achieve GPU-like inference performance on CPUs in production for both Computer Vision and Natural Language Processing (NLP) tasks.
Podcast Highlights: “Intel on AI”: Learning with AI
With over 15 years of experience in machine learning, neural networks, and computer vision, Microsoft’s Milena Marinova knows a thing or two about using AI for professional growth. In this podcast episode of “Intel on AI,” Milena shares lessons she’s learned during her career, including the challenges of developing AI products and the importance of data policy by design.
Research Highlights: Interactive continual learning for robots: a neuromorphicapproach
In this regular column we take a look at highlights for breaking research topics of the day in the areas of big data, data science, machine learning, AI and deep learning. For data scientists, it’s important to keep connected with the research arm of the field in order to understand where the technology is headed. Enjoy!
Intel’s Habana Labs Launches Second-Generation AI Processors for Training and Inferencing
Intel announced that Habana Labs, its data center team focused on AI deep learning processor technologies, launched its second-generation deep learning processors for training and inference: Habana® Gaudi®2 and Habana® Greco™. These new processors address an industry gap by providing customers with high-performance, high-efficiency deep learning compute choices for both training workloads and inference deployments in the data center while lowering the AI barrier to entry for companies of all sizes.
At John Deere, ‘Hard Iron Meets Artificial Intelligence’
Intel and John Deere developed an integrated, end-to-end system of hardware and software that can generate insights in real-time, at levels beyond human capability. When using a neural network-based inference engine, the solution logs defects in real-time and automatically stops the welding process.