Intel Insights

Intel and Red Hat Join Forces to Accelerate GenAI Innovation and Adoption

At last week’s Red Hat Summit, Red Hat and Intel announced a collaboration to power enterprise AI usages on Red Hat OpenShift AI. Together the two companies will facilitate the delivery of end-to-end AI solutions on Intel AI products for model development and training, model serving, management, and monitoring more seamlessly across a hybrid cloud infrastructure.

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Aurora Supercomputer Ranks Fastest for AI

Intel announced this week, in collaboration with Argonne National Laboratory and HPE, that the Aurora supercomputer has broken the exascale barrier and is the fastest system in the world dedicated to AI for open science. Intel has also detailed the importance of an open ecosystem in HPC and AI as researchers continue to harness AI models to accelerate scientific discovery.

SAS and Intel Help Organizations Balance Cloud Innovation and Cloud Spend

In the early days of the cloud, lift-and-shift migration was the model. Nowadays, the approach is causing cloud spend to run out of control. To provide some relief, SAS Institute and Intel have co-engineered a cloud-agnostic and cloud-native solution called SAS Viya to help customers reduce cloud costs, enhance data integration, and maximize the total cost of ownership.

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AI at the Edge Is Different From AI in the Data Center

More and more, customers are discovering the two-fold benefits of edge-to-cloud solutions running AI workloads at the edge. Learn more about how flexible, performant instances from Amazon, Google, and Microsoft featuring purpose-built CPUs—like the Intel® Xeon® processor family with built-in AI acceleration—offer a double-edge sword of scalability and processing power with reduced latency.

Kyoto University Enhances HPC Performance

A continuous quest for optimization recently led Kyoto University’s Academic Center for Computing and Media to update its HPC systems. Built with the latest Intel® Xeon® CPU Max Series, these new systems are designed to meet user requirements for exceptional high-performance memory bandwidth, expansive memory capacity, and optimal parallel performance within a well-balanced HPC infrastructure.