Happy April Fool’s Day! It was as always an interesting week in the world of HPC-AI, this edition of HPC News Bytes includes commentary on: Microsoft and....

The post HPC News Bytes 20240401: A $100B AI Data Center, Eviden Says It’s Healthy, Alibaba’s RISC-V Chip, New Optical Interconnect Group, Nvidia Fights CUDA Translation appeared first on High-Performance Computing News Analysis | insideHPC.

Happy President’s Day morning to everyone! Today’s HPC News Bytes races (6:22) around the HPC-AI landscape with comments on: developments in AI security and governance, running CUDA (NVIDIA) apps on ROCm (AMD), DOE’s Exascale Software Linear....

The post HPC News Bytes 20240219: AI Safety and Governance, Running CUDA Apps on ROCm, DOE’s SLATE, New Advanced Chips appeared first on High-Performance Computing News Analysis | insideHPC.

Industries such as railways are moving from traditional inspection methods to using AI and ML to perform automated inspection of....

The post HPC, AI, ML and Edge Solutions Drive Duos Railcar Inspection System Powered by Dell Technologies and Kalray appeared first on High-Performance Computing News Analysis | insideHPC.

As NVIDIA kicked off virtual GTC this morning, the company unveiled more than 60 updates to its CUDA-X libraries, tools and technologies for developers building accelerated applications in HPC-related fields such as 6G, quantum computing, genomics, drug discovery and logistics optimization, as well as robotics, cybersecurity and data analytics. NVIDIA also said the CUDA platform […]

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In this sponsored post from One Stop Systems, we see that whether surviving in a fast-moving battlefield situation, protecting sensitive industrial or transportation hub assets, or ensuring uninterrupted operation of critical national infrastructure, intelligent long-range surveillance is critical.  The ability to provide 24/7 remote long range threat detection and situational awareness coupled with human-machine control allows for the fast and appropriate threat response that is fundamental to addressing these security imperatives.

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Ryan Quick works at the crossroads of advanced technology innovation, where hyperscale, HPC and AI come together. A principal and co-founder of boutique consulting firm Providentia Worldwide, which implements systems solutions for its clientele, Quick says edge and IoT are two catalysts bringing about the day when HPC technologies will “really start to mix and match” – even within vendors’ own product lines.

The post The Hyperion-insideHPC Interviews: Ryan Quick on the ‘Prometheus Fire’ where HPC, Hyperscale and AI Converge appeared first on High-Performance Computing News Analysis | insideHPC.

In this special guest feature, Tim Miller from One Stop Systems writes that by bringing specialized, high performance computing capabilities to the edge through AI on the Fly, OSS is helping the industry deliver on the enormous potential of precision medicine. "The common elements of these solutions are high data rate acquisition, high speed low latency storage, and efficient high performance compute analytics. With OSS, all of these building block elements are connected seamlessly with memory mapped PCI Express interconnect configured and customized as appropriate, to meet the specific environmental requirements of ‘in the field’ installations."

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Abe Stern from NVIDIA gave this talk at the ECSS Symposium. "We will introduce Numba and RAPIDS for GPU programming in Python. Numba allows us to write just-in-time compiled CUDA code in Python, giving us easy access to the power of GPUs from a powerful high-level language. RAPIDS is a suite of tools with a Python interface for machine learning and dataframe operations. Together, Numba and RAPIDS represent a potent set of tools for rapid prototyping, development, and analysis for scientific computing. We will cover the basics of each library and go over simple examples to get users started."

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"Researchers, scientists, and developers are advancing science by accelerating their high performance computing applications on NVIDIA GPUs using specialized libraries, directives, and language-based programming models. From computational science to AI, CUDA-X HPC, OpenACC, and CUDA are GPU-accelerating applications to deliver groundbreaking scientific discoveries. And popular languages like C, C++, Fortran, and Python are being used to develop, optimize, and deploy these applications."

The post How NVIDIA Enables Scientific Research for HPC Developers appeared first on High-Performance Computing News Analysis | insideHPC.

In this video, NVIDIA’s Duncan Poole and Arm’s David Lecomber explain how the two company's accelerate the world’s fastest supercomputers. "At SC19, NVIDIA introduced a reference design platform that enables companies to quickly build GPU-accelerated Arm-based servers, driving a new era of high performance computing for a growing range of applications in science and industry. The reference design platform — consisting of hardware and software building blocks — responds to growing demand in the HPC community to harness a broader range of CPU architectures."

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