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Silicon Mechanics Delivers 10x HPC Run Time Boost for Oklahoma Medical Research Foundation

[SPONSORED CONTENT]   In biomedical research it’s accelerate or perish. Drug discovery is a trial-and-error process driven by simulations – faster simulations, enabled by compute- and data-intensive technologies, mean more runs in less time, resulting in errors identified and solutions achieved. Established in 1946, the Oklahoma Medical Research Foundation is a nonprofit research institute with more than 450 staff and over 50 labs studying cancer, heart disease, autoimmune disorders and aging-related diseases. OMRF discoveries led to the first, U.S.-approved therapy targeting sickle cell disease and the first approved treatment for neuromyelitis optica spectrum disorder, an autoimmune disease.  The foundation’s research is enabled in part by advanced technology – accelerated clusters and high-performance data storage that support workloads fueled by massive data sets.

inside HPC-Hyperion Research Interview: Hyperion’s Alex Norton on the State of AI

As part of insideHPC’s series of interviews on behalf of HPC industry analyst firm Hyperion Research, we spoke with Hyperion’s Alex Norton about his overview of the state of AI – or “big AI,” where AI and HPC often combine – at a special Hyperion event in Washington last month. In this interview, Norton, who is Hyperion’s principal technology analyst and data analysis manager, highlights key AI trends and insights, including….

Silicon Photonics and the Hunt for an HPC Bandwidth Bottleneck Breakthrough

[SPONSORED CONTENT]  “FLOPS are cheap, moving data is expensive.” In HPC circles this sentiment is heard often. There’s a growing sense that classical HPC systems and the advanced chips that power them are pushing up against their practical limits, that some foundational new technology is needed to build more balanced systems to achieve the next […]

How You Can Use Artificial Intelligence in the Financial Services Industry

In financial services, it is important to gain any competitive advantage. Your competition has access to most of the same data you do, as historical data is available to everyone in your industry. Your advantage comes with the ability to exploit that data better, faster, and more accurately than your competitors. With a rapidly fluctuating market, the ability to process data faster gives you the opportunity to respond quicker than ever before. This is where AI-first intelligence can give you the leg
up.

Catalyzing the Advancements in Genomics to Lower Barriers to Sustainable Innovation

In the 21st Century, if Big Data is used effectively in the health sector only, it can save 300 billion dollars per annum, as per the McKinsey Global Institute survey. Though the Genomic science is experiencing big data overload, its benefit to humanity of deciphering such big biological data sets using NGS technology makes it the ultimate use case in the coming era. 

Relief for the Solution Architect: Pushing Back on HPC Cluster Complexity with Warewulf and Apptainer

[SPONSORED CONTENT]  How did you, at heart and by training a research scientist, financial analyst or product design engineer doing multi-physics CAE, how did you end up as a… systems administrator? You set out to be one thing and became something else entirely. You finished school and began working with some hefty HPC-class clusters. One […]

Overcoming Challenges to Deep Learning Infrastructure

With use cases like computer vision, natural language processing, predictive modeling, and much more, deep learning (DL) provides the kinds of far-reaching applications that change the way technology can impact human existence. The possibilities are limitless, and we’ve just scratched the surface of its potential. There are three significant obstacles for you to be aware of when designing a deep learning infrastructure: scalability, customizing for each workload, and optimizing workload performance.

Recent Results Show HBM Can Make CPUs the Desired Platform for AI and HPC

Third-party performance benchmarks show CPUs with HBM2e memory now have sufficient memory bandwidth and computational capabilities to match GPU performance on many HPC and AI workloads. Recent Intel and third-party benchmarks now provide hard evidence that the upcoming Intel® Xeon® processors codenamed Sapphire Rapids with high bandwidth memory (fast, high bandwidth HBM2e memory) and Intel® Advanced Matrix Extensions can match the performance of GPUs for many AI and HPC workloads.

Back at Supercomputing with Altair Live in Dallas

As we approach the end of another big year for high-performance computing, our friends over at Altair are excited to return live to the world’s biggest supercomputing event, joining thousands of others at SC22 in the pursuit of driving change with HPC. Our ever-changing industry demands innovation and we’re ready to meet the challenge.

Successfully Deploy Composable Infrastructure on the Edge to Improve HPC and AI Outside of Traditional Data Centers

Emerging CDI technologies allow you to achieve the cost and availability benefits of cloud computing using on-premises networking equipment. You also benefit from extreme flexibility, being able to dynamically recompose systems and support nearly any workload. Thanks to innovative engineering, these benefits are now available on the edge. ​