A good January morning to you! It was an interesting week in HPC-AI, here’s a rapid (6:07) rundown of the latest doings, including: Italy energy giant Eni’s 600 PFLOPS HPE supercomputer, Intel opens….
HPC News Bytes: Eni’s Monster HPE Supercomputer, Intel’s New Mexico Fab, NSF’s AI Research Resource, D-Wave and IonQ Quantum Advancements
January 29, 2024 by
Italian Energy Company Eni Acquiring 600 PFLOPS AMD-Powered HPE-Cray EX HPC System
January 23, 2024 by
Italian energy giant Eni, long in the vanguard of commercial adoption of supercomputing, announced it is acquiring a monstrous 600 Pflops HPE-Cray EX4000 HPC system comprised of 3472 nodes, each one with a 64-core AMD EPYC CPU and four AMD Instinct….
Eni Upgrades HPE HPC Infrastructure via GreenLake
October 12, 2021 by
Hewlett Packard Enterprise (NYSE: HPE) today announced the upgrade of the supercomputer system of Eni, the Italian multinational supermajor energy company. The upgrade of the company’s supercomputer, HPC4, will be delivered as a service through the HPE GreenLake edge-to-cloud platform and is intended increase performance and double storage capacity to improve accuracy of image-intensive modeling […]
Eni unveils HPC5 Supercomputer from Dell Technologies
February 6, 2020 by
Today Eni dedicated its new HPC5 system, the most powerful industrial supercomputer in the world. “HPC5 by Dell Technologies is made up of 1,820 Dell EMC PowerEdge C4140 servers, each with two Intel Gold 6252 24-core processors and four NVIDIA V100 GPU accelerators. The servers are connected through an InfiniBand Mellanox HDR ultra-high-performance network with a speed of 200 Gbit/s and a full non-blocking topology that ensures efficient and direct connection among every server. HPC5 also comes with a high-performance 15-petabyte storage system (200 GB/s aggregate read/write speeds).”
Dell EMC to Deploy World’s Largest Industrial Supercomputer at Eni
October 31, 2019 by
Today Eni announced plans to deploy the world’s largest industrial supercomputer at its Green Data Center in Italy. Called “HPC5,” the new system from Dell EMC will triple the computing power of their existing HPC4 system. The combined machines will have a total peak power of 70 Petaflops. “HPC5 will be made up of 1,820 Dell EMC PowerEdge C4140 servers, each with two Intel Gold 6252 24-core processors and four NVIDIA V100 GPU accelerators. The servers will be connected through an InfiniBand Mellanox HDR ultra-high-performance network.”
NVIDIA Powers 22.4 Petaflop HPC4 Supercomputer at Eni
February 24, 2018 by
Oil & Gas giant Eni of Italy has expanded the computing capacity of their Green Data Center with a massive GPU-powered system called HPC4. Built by HPE, the 22.4 Petaflop supercomputer is powered by 3,200 Tesla GPU accelerators. “Based in Ferrera Erbognone near Milan, HPC4 quadruples the company’s computational power and makes its HPC infrastructure the world’s most powerful industrial computing system today.”
Eni in Italy Launches 18.6 Petaflop HPC4 Supercomputer
January 29, 2018 by
Eni in Italy has launched its new HPC4 supercomputer. With a peak performance of 18.6 Petaflops, the HPC4 cluster from Hewlett Packard Enterprise quadruples the Company’s computing power, making it the world’s most powerful industrial system. “With HPC4 we are tracing the path for the use of exascale supercomputers in the energy sector that could revolutionize the way in which oil&gas activities are managed.”
Eni in Italy fires up 5.8 Petaflop HPC3 Cluster for Oil & Gas
April 11, 2017 by
During the first week of April, Eni fired up its new HPC cluster in the Green Data Center in Ferrera Erbognone, Italy. Known as HPC3, the new 5.8 Petaflop cluster will allow Eni to fully support all the activities in the Energy Exploration and Production sector. “The start-up of the new HPC3 supercomputer and its follow-on HPC4 will enable Eni to deploy the most advanced and sophisticated proprietary codes developed by our research for the E&P activities,” said Eni CEO Claudio Descalzi. “These technologies will provide Eni with unprecedented accuracy and resolution in seismic imaging, geological modeling and reservoir dynamic simulation, allowing us to further accelerate overall cycle times in the upstream process and to sustain the E&P performances.”
