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Cerebras Alliance Offers CS-2 AI Supercomputer as Cloud Service

High performance AI chip maker Cerebras, maker of the Wafer-Scale Engine, the world’s largest computer chip, today announced Cerebras Cloud @ Cirrascale, delivering its AI accelerator as a cloud service. The alliance combines Cerebras’s CS-2 HPC/AI system, featuring 850,000 AI-optimized compute cores, with Cirrascale’s deep learning cloud services infrastructure. “With Cerebras Cloud @ Cirrascale, (the […]

ALCF, IIT Team Develops Benchmark for Scientific Deep Learning Efficiency

The emergence of deep learning techniques has provided a new tool for accelerating scientific exploration and discoveries. A group of researchers from the Argonne Leadership Computing Facility (ALCF) and the Illinois Institute of Technology (IIT) set out to improve the efficiency of deep learning-driven research by developing a new benchmark, named DLIO, to investigate the […]

Argonne Scientists Using DL to Visualize X-ray Data in 3D

JULY 26, 2021 – A team of Argonne scientists has leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source. Scientists are using artificial intelligence to train computers to process the reams of data produced by the Advanced Photon Source. Computers have been able […]

insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data (Part 3)

This insideHPC technology guide, “insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data,” discusses how organizations need to adopt a Fusion Computing Model to meet the needs of processing, analyzing, and storing the data to no longer be static. Fusion computing provides a reference architecture with multiple configurations. “We went back to evaluate the first principles of why we store and move data. The Fusion Computing Model looks at a broader integration of capabilities to put agility back at the data center model.”

insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data (Part 2)

This insideHPC technology guide, “insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data,” discusses how organizations need to adopt a Fusion Computing Model to meet the needs of processing, analyzing, and storing the data to no longer be static. Fusion computing provides a reference architecture with multiple configurations. “We went back to evaluate the first principles of why we store and move data. The Fusion Computing Model looks at a  broader integration of capabilities to put agility back at the data center model.”

insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data

This insideHPC technology guide, insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data, discusses how organizations need to adopt a Fusion Computing Model to meet the needs of processing, analyzing, and storing the data to no longer be static.

insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data

This insideHPC technology guide discusses how organizations need to adopt a Fusion Computing Model to meet the needs of processing, analyzing, and storing the data to no longer be static. This guide (i) provides an overview of the Fusion Computing Model; (ii) describes how Seagate Technology PLC (Seagate) and Intel Corporation technologies can meet fusion […]

IBM Releases AI Toolkit for Deep Learning Uncertainties

Deep learning is smart — show off smart. It loves connecting dots no one else can see and being the smartest one in the room. But that’s when deep learning can go wrong – when it thinks it knows everything. What deep learning needs is a touch of humility, to not just be smart but […]

5 Considerations When Building an AI / GPU Cluster

AI continues to change the way many organizations conduct their work and research. Deep learning applications are constantly evolving and organizations are adapting to new technologies, improving their performance and capabilities. Companies that fail to adapt to these emerging technologies run the risk of falling behind the competition. At PSSC Labs we want to make sure that doesn’t happen to you. There is a lot going on in the world of AI and even more to think about when building a GPU-heavy AI server or cluster system. This article offers five essential elements to an AI/GPU computing environment.

MIT: Researchers’ Algorithm Designs Soft Robots that Sense

CAMBRIDGE, MA — March 22, 2021 — There are some tasks that traditional robots — the rigid and metallic kind — simply aren’t cut out for. Soft-bodied robots, on the other hand, may be able to interact with people more safely or slip into tight spaces with ease. But for robots to reliably complete their […]