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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. 

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. ​

Immersion Cooling for Transportable HPC

In this sponsored post from our friends over at One Stop Systems, Product Marketing Manager, Braden Cooper discusses how the latest high-performance computing systems for AI applications generate more heat than ever before. Datacenters have begun adoption of immersion cooling solutions that immerse the temperature-sensitive electronics in a non-conductive fluid which efficiently dissipates the heat.

Factors to Understand to Maximize Cloud HPC Investments for Your Organization

HPC workloads place considerable demands on compute hardware and IT infrastructures, which is why most organizations have traditionally kept HPC applications on-premises in their local data centers. Several cloud providers now offer specific HPC services and capabilities, but you’ll need to understand and address several factors before running HPC applications in the public cloud instead of locally in your own data center.

Advancing HPC through oneAPI Heterogeneous Programming in Academia & Research

oneAPI offers an open industry effort supported by over 100 organizations. oneAPI is an open, unified, cross-architecture programming model for CPUs and accelerator architectures (GPUs, FPGAs, and others). Based on standards, the programming model simplifies software development and delivers uncompromised performance for accelerated compute without proprietary lock-in, while enabling the integration of existing code.

Supercharging Modern Data Centers with NVIDIA Networking Solutions

In this webinar sponsored by PNY Technologies, you will learn the benefits, functionalities, and key features of Accelerated Ethernet technology by NVIDIA Spectrum and how it delivers end-to-end innovations and synergies to optimize modern applications from core to cloud to edge.