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At ISC, Sustainable Computing Leaders Discuss HPC’s Energy Crossroads
In the wake of SC22 last year, HPCwire wrote that “the conference’s eyes had shifted to carbon emissions and energy intensity” rather than the historical emphasis on flops-per-watt and powe …
Nvidia to Offer a ‘1 Exaflops’ AI Supercomputer with 256 Grace Hopper Superchips
We in HPC sometimes roll our eyes at the term “AI supercomputer,” but a new system from Nvidia might live up to the moniker: the DGX GH200 AI supercomputer. Announced tonight (mid-day Monday …
Closing ISC Keynote by Sterling and Suarez Looks Backward and Forward
May 25, 2023
ISC’s closing keynote this year was given jointly by a pair of distinguished HPC leaders, Thomas Sterling of Indiana University and Estela Suarez of Jülich S Read more…
Meta Completes Research SuperCluster, Announces Next-Gen Datacenter
May 18, 2023
2023 finds every major tech player working furiously to build out tools and infrastructure amid the massive surge in large-language models (LLMs). Long-time AI Read more…
Intel’s Habana Labs Takes on Prominent Role as Generative AI Surges
May 9, 2023
Intel acquired AI chipmaker Habana Labs just four years ago; now, the division is serving – per Habana COO Eitan Medina – as “effectively the center of ex Read more…
HPC Career Notes: May 2023 Edition
May 1, 2023
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the high-performance computing community. Whether it� Read more…
Meta, MIT, Others Test Robotic Arm in Optical AI Infrastructure
April 19, 2023
Researchers at Meta, MIT and other institutions connected servers with a dozen Nvidia GPUs with optical switches and a robotic arm, devising a new interconnect Read more…
Intel Closes Data Center Solutions Group
April 18, 2023
The ax returns to Intel – and this time, it’s taking out the troubled chip giant’s Data Center Solutions Group (DSG). The group, which offered datacenter Read more…
Google AI Supercomputer Shows the Potential of Optical Interconnects
April 10, 2023
There are limits on the speed of how fast copper wires can move data between computers, and a transition to light speed will ultimately drive AI and high-performance computing forward. Every major chipmaker is in agreement that optical interconnects will be needed to reach zettascale computing in an energy-efficient way. That opinion was... Read more…
Intel’s Server Chips Are ‘Lead Vehicles’ for Manufacturing Strategy
March 30, 2023
…But chipmaker still does not have an integrated product strategy, which puts the company behind AMD and Nvidia. Intel finally has a full complement of server and PC chips it will release in the coming years, which will determine whether it has regained its leadership in chip manufacturing. The chipmaker this week... Read more…
ISC 2023 Booth Videos
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Whitepaper
Powering Up Automotive Simulation: Why Migrating to the Cloud is a Game Changer
The increasing complexity of electric vehicles result in large and complex computational models for simulations that demand enormous compute resources. On-premises high-performance computing (HPC) clusters and computer-aided engineering (CAE) tools are commonly used but some limitations occur when the models are too big or when multiple iterations need to be done in a very short term, leading to a lack of available compute resources. In this hybrid approach, cloud computing offers a flexible and cost-effective alternative, allowing engineers to utilize the latest hardware and software on-demand. Ansys Gateway powered by AWS, a cloud-based simulation software platform, drives efficiencies in automotive engineering simulations. Complete Ansys simulation and CAE/CAD developments can be managed in the cloud with access to AWS’s latest hardware instances, providing significant runtime acceleration.
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Five Recommendations to Optimize Data Pipelines
When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.
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Whitepaper: Streamlining AI Data Management
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Whitepaper: Reducing Bias and Increasing Accuracy in AI Models
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Whitepaper: A New Standard in CAE Solutions for Manufacturing
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Whitepaper: Porting CUDA Applications to Run on AMD GPUs
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Whitepaper: QCT HPC BeeGFS Storage: A Performance Environment for I/O Intensive Workloads
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Webcasts and webinars: Leveraging Exascale Era Technology for Advanced Computer-Aided Engineering
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