
This destroys anything IBM and Lenovo can or will ever come up with. Look for IBM/Lenovo customers to bail, especially considering that there's hardly anyone left to provide Server Hardware Support.
The first fruit of Hewlett Packard Enterprise’s buy of SGI is set to hit the streets in July with the release of a high performance system - the HPE SGI 8600. The system is a liquid cooled petascale box assembled on legacy SGI ICE AXA architecture, and is aimed squarely at punters involved with beefy scientific and engineering …
Nate,
the ICE Infiniband network architecture is that there are blade enclosures per rack.
I thought there were 8 in an ICEX (there are four in an ICE).
the blade enclosures have two or four (for dual rail) dumb Mellanox sswitch blades, as you say.
The switch blades are connected in a hyperbube topology.
there are no big aggregator switches.
Seriously though - when you expand an SGI system like that, someone at the factory runs a program, and the installation engineers come along with extra cables and a plug list of how to hook them up.
On the cluster intself there is a nifty utility to check the topology of the connections.
Hewlett Packard Enterprise must pay Oracle $30 million for copyright infringement after a jury found it guilty of providing customers with Solaris software updates without Big Red's permission.
The decision, which HPE may contest, is the culmination of a three-week trial in Oakland, California. However, the case was first raised years back when Oracle claimed HPE had offered illegal updates under a scheme devised by software support provider Terix, which settled its case in 2015 for almost $58 million.
In proceedings at the start of this week, Oracle’s lawyer, Christopher Yeates of Latham & Watkins LLP, pressed the eight-person jury to award his client $72 million for HPE using software not covered by a support contract, and for pinching clients, including Comcast.
HPE has scored another supercomputing win with the inauguration of the LUMI system at the IT Center for Science, Finland, which as of this month is ranked as Europe's most powerful supercomputer.
Amid a delayed HPC contract and industry-wide supply limitations compounded by the lockdown in Shanghai, Hewlett Packard Enterprise reported year-on-year sales growth of $13 million for its Q2.
That equated to revenue expansion of 1.5 percent to $6.713 billion for the quarter ended 30 April. Wall Street had forecast HPE to generate $6.81 billion in sales for the period and didn't look too kindly on the shortfall.
"This quarter," said CEO and president Antonio Neri, "through a combination of supply constraints, limiting our ability to fulfill orders as well as some areas where we could have executed better, we did not fully translate the strong customer orders into higher revenue growth."
Why build a cloud datacenter yourself, when you can rent one from Hewlett Packard Enterprise? It may seem unorthodox, but That’s exactly the approach Singapore-based private cloud provider Taeknizon is using to extend its private cloud offering to the United Arab Emirates (UAE).
Founded in 2012, Taeknizon offers a menagerie of services ranging from IoT, robotics, and AI to colocation and private cloud services, primarily in the Middle East and Asia. The company’s latest expansion in the UAE will see it lean on HPE GreenLake’s anything-as-a-service (XaaS) platform to meet growing demand from small-to-midsize enterprises for cloud services in the region.
“Today, 94% of companies operating in the UAE are SMEs," Ahmad AlKhallafi, UAE managing director at HPE, said in a statement. "Taeknizon’s as-a-service model caters to the requirements of SMEs and aligns with our vision to empower youth and the local startup community.”
AI is killing the planet. Wait, no – it's going to save it. According to Hewlett Packard Enterprise VP of AI and HPC Evan Sparks and professor of machine learning Ameet Talwalkar from Carnegie Mellon University, it's not entirely clear just what AI might do for – or to – our home planet.
Speaking at the SixFive Summit this week, the duo discussed one of the more controversial challenges facing AI/ML: the technology's impact on the climate.
"What we've seen over the last few years is that really computationally demanding machine learning technology has become increasingly prominent in the industry," Sparks said. "This has resulted in increasing concerns about the associated rise in energy usage and correlated – not always cleanly – concerns about carbon emissions and carbon footprint of these workloads."
Linus Torvalds has announced the first release candidate for version 5.19 of the Linux kernel, and declared it represents a milestone in multiplatform development for the project.
After first commenting that the development process for this version has been made difficult by many late pull requests, then applauding the fact that most were properly signed, Torvalds opined that Linux 5.19 "is going to be on the bigger side, but certainly not breaking any records, and nothing looks particularly odd or crazy."
Around 60 percent of the release is drivers, and there's another big load of code that gets AMD GPUs playing nicely with the kernel.
European microprocessor designer SiPearl revealed deals with Nvidia and HPE today, saying they would up the development of high-performance compute (HPC) and exascale systems on the continent.
Announced to coincide with the ISC 2022 High Performance conference in Hamburg this week, the agreements see SiPearl working with two big dogs in the HPC market: HPE is the owner of supercomputing pioneer Cray and Nvidia is a leader in GPU acceleration.
With HPE, SiPearl said it is working to jointly develop a supercomputer platform that combines HPE's technology and SiPearl's upcoming Rhea processor. Rhea is an Arm-based chip with RISC-V controllers, planned to appear in next-generation exascale computers.
HPE is lifting the lid on a new AI supercomputer – the second this week – aimed at building and training larger machine learning models to underpin research.
Based at HPE's Center of Excellence in Grenoble, France, the new supercomputer is to be named Champollion after the French scholar who made advances in deciphering Egyptian hieroglyphs in the 19th century. It was built in partnership with Nvidia using AMD-based Apollo computer nodes fitted with Nvidia's A100 GPUs.
Champollion brings together HPC and purpose-built AI technologies to train machine learning models at scale and unlock results faster, HPE said. HPE already provides HPC and AI resources from its Grenoble facilities for customers, and the broader research community to access, and said it plans to provide access to Champollion for scientists and engineers globally to accelerate testing of their AI models and research.
The land of the rising sun has fallen to the United States’ supercomputing might. Oak Ridge National Laboratory’s (ORNL) newly minted Frontier supercomputer has ousted Japan’s Arm-based Fugaku for the top spot on the Top500 rankings of the world's most-powerful publicly known systems.
Frontier’s lead over Japan’s A64X-based Fujitsu machine is by no means a narrow one either. The cluster achieved peak performance of 1.1 exaflops according to the Linpack benchmark, which has been the standard by which supercomputers have been ranked since the mid-1990s.
Frontier marks the first publicly benchmarked exascale computer by quite a margin. The ORNL system is well ahead of Fugaku’s 442 petaflops of performance, which was a strong enough showing to keep Fugaku in the top spot for two years.
Nvidia will reveal more details about its Venado supercomputer project today at the International Supercomputing Conference in Hamburg, Germany.
Venado is hoped to be the first in a wave of high-performance computers that use an all-Nvidia architecture, in this case using Grace-Hopper Superchips that combine CPU and GPU dies, and Grace CPU-only Superchips.
This supercomputer "will be the first system deployed not just with Grace-Hopper in terms of the converged Superchip but it’ll also have a cluster of Grace CPU-only Superchip modules,” Dion Harris, Nvidia’s head of datacenter product marketing for HPC, AI, and Magnum IO, said during an Nvidia press conference ahead of ISC.
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