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HPE Launches ML Development System, Swarm Learning Solution
April 27, 2022
In a one-two punch of new HPC-backed AI announcements, Hewlett Packard Enterprise (HPE) today announced its new Machine Learning Development System (MLDS) and S Read more…
White House Scientific Integrity Report Addresses AI and ML Ethics
January 26, 2022
Earlier this month, the White House Office of Science and Technology Policy (OSTP) Scientific Integrity Task Force released a report titled “Protecting the In Read more…
MosaicML, Led by Naveen Rao, Comes Out of Stealth Aiming to Ease Model Training
October 15, 2021
With more and more enterprises turning to AI for a myriad of tasks, companies quickly find out that training AI models is expensive, difficult and time-consuming. Finding a new approach to deal with those cascading challenges is the aim of a new startup, MosaicML, that just came out of stealth... Read more…
Purdue Researchers Peer into the ‘Fog of the Machine Learning Accelerator War’
September 27, 2021
Making sense of ML performance and benchmark data is an ongoing challenge. In light of last week’s release of the most recent MLPerf (v1.1) inference results, now is perhaps a good time to review how valuable (or not) such ML benchmarks are and the challenges they face. Two researchers... Read more…
EPFL Researchers Leverage Optics to Advance Efficient, ‘Supercomputer-Level’ Machine Learning
September 3, 2021
As datasets get larger and larger, the potential of machine learning insights from those datasets grows correspondingly immense – but bottlenecks in computing Read more…
Esperanto, Silicon in Hand, Champions the Efficiency of Its 1,092-Core RISC-V Chip
August 27, 2021
Esperanto Technologies made waves last December when it announced ET-SoC-1, a new RISC-V-based chip aimed at machine learning that packed nearly 1,100 cores onto a package small enough to fit six times over on a single PCIe card. Now, Esperanto is back, silicon in-hand and taking aim... Read more…
HLRS to Advance Custom Automation Through AI
August 7, 2021
For nearly a hundred years, German-based firm Festo has delivered industrial controls and automation tools to its clients, growing to over 20,000 employees and Read more…
Latest MLPerf Results: Nvidia Shines but Intel, Graphcore, Google Increase Their Presence
June 30, 2021
While Nvidia (again) dominated the latest round of MLPerf training benchmark results, the range of participants expanded. Notably, Google’s forthcoming TPU v4 Read more…
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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
A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.
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