Ayar Labs to Demo ‘Commercial-Grade’ 4Tbps Optical I/O Solution

March 1, 2023

Ayar Labs, founded in 2015, is pursuing optics as a means of driving higher interconnect speeds and efficiencies in computing. Now, the company is announcing th Read more…

Déjà Vu All Over Again

November 16, 2009

Never short on opinions, especially when it comes to high performance computing, Convey Computer Co-Founder Steve Wallach talked to HPCwire about the future of HPC and how lessons from the past can point the way for the future. Read more…

Intel Developing Optical Chip-to-Chip Interconnects

February 12, 2009

At the International Solid State Circuits Conference this week, Intel outlined its progress on CMOS photonics. Read more…

HP Calls for On-Chip Optics

January 28, 2009

An HP researcher says multicore processors will need to adopt optical interconnects over the next decade to deliver the bandwidth and programmability the computer industry needs. Read more…

  • arrow
  • Click Here for More Headlines
  • arrow

Whitepaper

Streamlining AI Data Management

Five Recommendations to Optimize Data Pipelines

When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.

With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.

To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.

Download Now

Sponsored by DDN

Whitepaper

Taking research further with extraordinary compute power and efficiency

Karlsruhe Institute of Technology (KIT) is an elite public research university located in Karlsruhe, Germany and is engaged in a broad range of disciplines in natural sciences, engineering, economics, humanities, and social sciences. For institutions like KIT, HPC has become indispensable to cutting-edge research in these areas.

KIT’s HoreKa supercomputer supports hundreds of research initiatives including a project aimed at predicting when the Earth’s ozone layer will be fully healed. With HoreKa, projects like these can process larger amounts of data enabling researchers to deepen their understanding of highly complex natural processes.

Read this case study to learn how KIT implemented their supercomputer powered by Lenovo ThinkSystem servers, featuring Lenovo Neptune™ liquid cooling technology, to attain higher performance while reducing power consumption.

Download Now

Sponsored by Lenovo

Advanced Scale Career Development & Workforce Enhancement Center

Featured Advanced Scale Jobs:

Receive the Monthly
Advanced Computing Job Bank Resource:

HPCwire Resource Library

HPCwire Product Showcase

Subscribe to the Monthly
Technology Product Showcase:

HPCwire