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FPGA vs. GPU: Which is better for deep learning?

IBM Big Data Hub

Beyond artificial intelligence (AI) , deep learning drives many applications that improve automation , including everyday products and services like digital assistants, voice-enabled consumer electronics, credit card fraud detection and more. Deep learning requires a tremendous amount of computing power.

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The convergence of HPC and AI: Driving innovation at speed  

IBM Big Data Hub

Many industries rely on high-performance computing (HPC) to achieve this goal. For example, HPC offers high levels of computational power and scalability, crucial for running performance-intensive workloads. In the era of gen AI and hybrid cloud, IBM Cloud® HPC brings the computing power organizations need to thrive.

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The software-defined vehicle: The architecture behind the next evolution of the automotive industry

IBM Big Data Hub

Simultaneously, onboard electronics evolve from individual electronic control units to high-performance computers with higher performance and simplified integration. These elements are all part of a cyclical process in which vehicle data is used for development, operation and services.

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Leveraging IBM Cloud for electronic design automation (EDA) workloads

IBM Big Data Hub

Electronic design automation (EDA) is a market segment consisting of software, hardware and services with the goal of assisting in the definition, planning, design, implementation, verification and subsequent manufacturing of semiconductor devices (or chips). This area of focus is known as design for manufacturability (DFM).

Cloud 91
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How the semiconductor industry is leveraging high-performance computing to drive innovation

IBM Big Data Hub

Semiconductors act as the secret powerhouse behind various industries, from healthcare to manufacturing to financial services. As semiconductor manufacturers strive to keep up with customer expectations, electronic design automation (EDA) tools are the keys to unlocking the solution.

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Supply Chain Security 101: An Expert’s View

Krebs on Security

BK: But certainly there are some areas of computer hardware and network design where you absolutely must have far greater integrity assurance? Of course, some nations have more capability than others to sift through huge amounts of data they’re collecting. TS: Like a lot of things in security, the economics always win.

Security 206
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Leveraging high performance computing to help solve complex challenges across industries

IBM Big Data Hub

In today’s competitive business landscape, having high compute power can be critical. Reducing risk in financial services In the world of financial services, having as much compute power as possible is important to help enable peak performance.