Supercharging AI and HPC Engines with Dell Technologies and NVIDIA

Dell Technologies and NVIDIA deliver unprecedented acceleration and flexibility for AI, data analytics and HPC to tackle some of the world’s toughest computing challenges. Dell Technologies has long been on the forefront of innovation when it comes to artificial intelligence and high performance computing, and in many cases NVIDIA has been right there with us. This close relationship of two global technology leaders got started well before 2013, when Dell and NVIDIA worked together to advance the concept of a dense GPU platform, which would emerge in the Dell EMC PowerEdge server family. This concept came … READ MORE

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HPC For The Masses: New SDSC Supercomputer To Serve 50,000 Users

The San Diego Supercomputer Center (SDSC) is preparing to roll out a 5-petaFLOPS system with Dell EMC PowerEdge servers with 2nd Gen AMD EPYC processors and NVIDIA V100 Tensor Core GPUs inside, connected with Mellanox HDR InfiniBand. In years past, supercomputers were built to meet the needs of elite teams of scientists and engineers whose work required extreme processing power. Today, the world of supercomputing is changing, as an ever-broader range of users require access to high performance computing to drive discovery and innovation. In this new data era, HPC systems often need to meet the … READ MORE

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Think You Need Different Systems for AI, Data Analytics and HPC? Think Again

With the new Dell EMC HPC Ready Architecture for Artificial Intelligence and Data Analytics, you can now run AI, data analytics and HPC workloads on a single system. In today’s marketplaces, competitive advantage increasingly goes to the data‑driven enterprise. This is particularly true for those enterprises that are ready to seize the day — and capitalize on the convergence of artificial intelligence, data analytics and high performance computing. The time is ripe for this convergence, thanks to some amazing advances in HPC systems and the applications that can run on them. As HPC clusters become smaller, … READ MORE

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Slow Enumeration Of VMs On SCVMM Hypervisor Connections While Adding VMs To Machine Catalog

Observing delay while adding new VMs to machine catalogs when browsing SCVMM hosting connections.

After clicking on browse, it takes more than 15 minutes to expand a SCVMM hypervisor connection to display the host groups.

It can take another 15+ minutes to expand further and see the clusters and the VMs on the clusters.

Issue is not specific to any SCVMM version and can be seen in a large cluster environment.

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A hardware change to the client computer has been detected

I need a solution

I’ve gotten more of these email alerts recently.  Not a huge amount, just handful, but I haven’t gotten many or any in the past I think.  I googled a bit but I’m not finding anything interesting.  

For the alerts I’ve gotten recently, three have been on virtual machines.  For my VMs, settings are static, so the VMs don’t change their hardware, MAC address, etc. that I’m aware of.  A few more physical machines popped up with these hardware change alerts.

Any ideas on what they could be?  Or can you point me to the log location (is that in the SEPM manager or the client machine’s windows system event log?)?

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Pool update does not complete when CPU feature set has changed

When applying a hotfix that contains CPU feature set changes to a XenServer host or pool that has running VMs, the XenCenter Install Update wizard might stop after installing the update on one or more of the hosts and display the following error:

The host does not have some of the CPU features that the VM is currently using

This message can be displayed when the update process tries to migrate a VM on shared storage from a host that has not been updated to a host that has been updated:

The install update wizard has stopped on the last panel, 'Install Update'. The error message is displayed at the bottom. The Finish button is active, but the Previous and Cancel buttons are inactive.

This message can also be displayed when the update process tries to resume VMs on local storage that were suspended while their host was updated:

A message box with the title 'Error Starting VM'. The message box says "There were no servers available to start VM name-of-VM". Listed are servers that have the error.

In both cases, error messages are also displayed on the Notifications page:

On the Events tab of the Notifications page there are two errors logged. The first says Pool CPU features reduced and lists the pool name. The second error says Host CPU features reduced and lists the host.

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HPC Forecast Calls for EYPC Weather Modeling

Dell Technologies expands the Dell EMC Ready Solutions for High Performance Computing portfolio with new solutions based on PowerEdge servers with 2nd Generation AMD® EPYC™ processors. With hurricane season well under way, weather forecasts are once again front-page news. And for good reason. With timely and accurate forecasts, individuals, local governments and recovery organizations can work proactively to protect the wellbeing of people, homes and businesses in the path of a storm. In this quest to deliver better forecasts, high performance computing (HPC) is now extremely important. With HPC-driven systems, forecasters can run the models and … READ MORE

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Blazing a New Path to Discovery at Texas Advanced Computing Center

The Texas Advanced Computing Center at the University of Texas formally launches its new Frontera supercomputer today — a system ranked at No. 5 on the latest TOP500 list. There’s good cause for excitement today at the Texas Advanced Computing Center (TACC) at the University of Texas, where the center is formally unveiling one of the world’s fastest supercomputers. This blazingly fast system, named Frontera, makes its debut at No. 5 on the latest TOP500 list of the world’s fastest supercomputers.1 Even better, Frontera has the distinction of being the fastest supercomputer at any university. At … READ MORE

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Bringing GPU Virtualization to Analytics, AI and HPC

NVIDIA vComputeServer software is now available with Dell EMC PowerEdge servers, provides GPU virtualization to speed analytics, AI and high-performance computing. There are 2.5 quintillion bytes of data created each day including 16 million text messages! In an effort to serve up that data faster, data center teams are increasingly turning to servers that incorporate GPUs. These accelerators, which complement the capabilities of the CPUs, use parallel processing to churn through large volumes of data at blazingly fast speeds. But there’s a catch here. GPU-accelerated workloads, such as AI training and inferencing, often run on bare … READ MORE

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