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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.

The speed, power, and accuracy of deep learning provides the critical edge that enterprises need to regain the advantage.

Machine intelligence is influencing all aspects of cybersecurity. Organizations are implementing AI-based security to analyze event data using ML models that identify attack patterns and increase automation. Before security teams can take advantage of AI and ML tools, they need to know what is possible. This report covers: How to assess the vendor’s AI/ML claims […]

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.

How Well-Designed Infrastructure Can Overcome Challenges to Big Data Analytics Workloads

In this sponsored post, our friends over at Silicon Mechanics discuss how using big data analytics and predictive analytics through deep learning (DL) are essential strategies to make smarter, more informed decisions and provide competitive advantages for your organization. But these tactics are not simple to execute, and they require a properly designed hardware infrastructure.

Overcome Form Factor and Field Limitations with AI/HPC Workloads on the Edge

In this sponsored post, our friends over at Silicon Mechanics discuss how form factor, latency, and power can all be key limitations, but find out how key advancements in technology will allow higher performance at the edge. For this discussion, the edge means any compute workloads taking place outside of both cloud and traditional on-prem data centers.

Exascale in China? 40 Million Cores Used for Many-Body Quantum Simulation

For several years, some in the HPC community have suspected China of sandbagging the world on its true supercomputing capabilities. Those suspicions may have been confirmed with the publication of a research paper last week in which Chinese university researchers reported that 40 million heterogeneous cores within China’s Sunway supercomputer have been directed at a […]

insideHPC Guide to NVIDIA EGX Platform: One Architecture for Every Workload – Part 3

[SPONSORED POST] This technology guide sponsored by PNY describes how the NVIDIA® EGX™ Platform provides a single architecture to meet every data center workload need. PNY aids in GPU selection and testing allowing partners to equip customers with the best NVIDIA EGX Platform solution based on their needs.

insideHPC Guide to NVIDIA EGX Platform: One Architecture for Every Workload – Part 2

[SPONSORED POST] This technology guide sponsored by PNY describes how the NVIDIA® EGX™ Platform provides a single architecture to meet every data center workload need. PNY aids in GPU selection and testing allowing partners to equip customers with the best NVIDIA EGX Platform solution based on their needs.

insideHPC Guide to NVIDIA EGX Platform: One Architecture for Every Workload

[SPONSORED POST] This technology guide sponsored by PNY describes how the NVIDIA® EGX™ Platform provides a single architecture to meet every data center workload need. PNY aids in GPU selection and testing allowing partners to equip customers with the best NVIDIA EGX Platform solution based on their needs.

insideHPC Guide to NVIDIA EGX Platform: One Architecture for Every Workload

This technology guide sponsored by PNY describes how the NVIDIA® EGX™ Platform provides a single architecture to meet every data center workload need. PNY aids in GPU selection and testing allowing partners to equip customers with the  best NVIDIA EGX Platform solution based on their needs.