Simulation, modeling, data analytics, and other workloads commonly use high performance computing (HPC) to advance research and business in many ways. However, as converged workloads involving AI grow in adoption, HPC systems must keep pace with evolving needs. 2nd Generation Intel® Xeon® Platinum processors, with built-in AI acceleration technologies, offer leadership performance to speed the most demanding HPC workloads.
2nd Generation Intel® Xeon® Platinum 9200 Processors Offer Leadership Performance, and Advance AI
November 18, 2019 by
Optimizing in a Heterogeneous World is (Algorithms x Devices)
November 11, 2019 by
In this guest article, our friends at Intel discuss how CPUs prove better for some important Deep Learning. Here’s why, and keep your GPUs handy! Heterogeneous computing ushers in a world where we must consider permutations of algorithms and devices to find the best platform solution. No single device will win all the time, so we need to constantly assess our choices and assumptions.
How Astera Labs is Revolutionizing Semiconductor Product Development—100% in the Cloud
October 21, 2019 by
For any established semiconductor product developer, designing a next-generation PCIe 5.0 chipset in less than a year is no small feat. For a brand-new startup with no compute infrastructure other than laptops, however, it is a huge ask. That’s why, with time being of the essence, Astera Labs decided to take a chance on the efficiencies it would gain from a 100% cloud-based approach.
Six Platform Investments from Intel to Facilitate Running AI and HPC Workloads Together on Existing Infrastructure
October 17, 2019 by
Because HPC technologies today offer substantially more power and speed than their legacy predecessors, enterprises and research institutions benefit from combining AI and HPC workloads on a single system. Six platform investments from Intel will help reduce obstacles and make HPC and AI deployment even more accessible and practical.
Heterogeneous Computing: Long Live the CPU
October 15, 2019 by
In this guest article, our friends at Intel discuss how the company is investing in heterogeneous computing. Intel recently spoke about supporting heterogeneous computing with the catch phrase “One Size Does Not Fit All” in talking about software and Intel’s commitment to help programmers with oneAPI.
HPC in the Cloud Offers Flexible, Scalable Solutions for Enterprises and Research Institutions
September 30, 2019 by
In this guest article, our friends at Intel discuss how HPC as a Service (HPCaaS) reduces barriers to HPC and offers a cost-effective extension to on-premise solutions. High performance data analytics (HPDA), simulation and modeling, and artificial intelligence (AI) enable significant benefits like quicker business insights, the ability to design and bring products to market faster, or real-time monitoring of financial transactions for fraud.
DAOS Delivers Exascale Performance Using HPC Storage So Fast It Requires New Units of Measurement
September 23, 2019 by
Forget what you previously knew about high-performance storage and file systems. New I/O models for HPC such as Distributed Asynchronous Object Storage (DAOS) have been architected from the ground up to make use of new NVM technologies such as Intel® Optane™ DC Persistent Memory Modules (Intel Optane DCPMMs). With latencies measured in nanoseconds and bandwidth measured in tens of GB/s, new storage devices such as Intel DCPMMs redefine the measures used to describe high-performance nonvolatile storage.
Running AI and HPC Workloads Together on Existing Infrastructure Enhances Return on System Investments
August 13, 2019 by
Because HPC technologies today offer substantially more power and speed than their legacy predecessors, enterprises and research institutions benefit from combining AI and HPC workloads on a single system. This sponsored post from Intel explores the ins and outs of running AI and HPC workloads together on existing infrastructure, and how organizations can gain rapid insights, and experience faster time-to-market with advanced architecture technologies.
DAOS: Scale-Out Software-Defined Storage for HPC/Big Data/AI Convergence
August 2, 2019 by
As an all-new parallel file system, DAOS will be a key component of the the upcoming Aurora supercomputer coming to Argonne National Laboratory in 2021. “DAOS is an open source software-defined scale-out object store that provides high bandwidth, low latency, and high I/O operations per second (IOPS) storage containers to HPC applications. It enables next-generation data-centric workflows that combine simulation, data analytics, and AI.”
Using Converged HPC Clusters to Combine HPC, AI, and HPDA Workloads
July 22, 2019 by
Many organizations follow an old trend to adopt AI and HPDA as distinct entities which leads to underutilization of their clusters. To avoid this, clusters can be converged to save (or potentially eliminate) capital expenditures and reduce OPEX costs. This sponsored post from Intel’s Esther Baldwin, AI Strategist, explores how organizations are using converged HPC to combine HPC, AI, and HPDA workloads.
