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The world’s most valuable chip maker has announced a next-generation processor for AI and high-performance computing workloads, due for launch in mid-2024. A new exascale supercomputer, designed specifically for large AI models, is also planned.

H200 Tensor Core GPU. Credit: NVIDIA

In recent years, California-based NVIDIA Corporation has played a major role in the progress of artificial intelligence (AI), as well as high-performance computing (HPC) more generally, with its hardware being central to astonishing leaps in algorithmic capability.

In the evolving landscape of space warfare, conflict is shifting into what experts commonly call the “gray zone.”

Unlike traditional conflicts defined by clear boundaries, rules of engagement and identifiable actors, space battles in the gray zone are ambiguous, with military and civilian activities that can be difficult to discern.

“It’s crucial for U.S. policymakers and military leaders to understand the nuances of future competition in space, and how it will likely play out,” said John Klein, military strategist and adjunct professor at George Washington University’s Space Policy Institute.

New materials developed at the University of Surrey could pave the way for a new generation of flexible X-ray detectors, with potential applications ranging from cancer treatment to better airport scanners.

Traditionally, X-ray detectors are made of heavy, rigid material such as silicon or germanium. New, flexible detectors are cheaper and can be shaped around the objects that need to be scanned, improving accuracy when screening patients and reducing risk when imaging tumors and administering radiotherapy.

Dr. Prabodhi Nanayakkara, who led the research at the University of Surrey, said, “This new material is flexible, low-cost, and sensitive. But what’s exciting is that this material is tissue equivalent. This paves the way for live dosimetry, which just isn’t possible with current technology.”

In this article we look at several introductions of digital storage related products at the 2023 Supercomputing Conference.


WDC was also showing its hybrid storage JBOD Ultrastar Data102 and Data60 platforms to support disaggregated storage and software-defined storage (SDS). This comes in dual-port SAS or single-port SATA configurations. The Data102 has storage capacities up to 2.65PB and the Data60 has up to 1.56TB in a 4U enclosure that includes IsoVibe and ArticFlow technologies for improved performance and reliability. The Data102 and Data60 capacity numbers assume using 26TB SMR HDDs.

WDC was also showing a GPUDirect storage proof of concept combining the company’s RaidFlex technology with Ingrasys ES2100 with integrated NVIDIA Spectrum Ethernet switches as well as NVIDIA’s GPUs, Magnum IO GPUDirect storage, BlueField DPUs and ConnectX SmartNICs. The proof-of-concept demonstration can provide 25GB/s bandwidth for a single NVIDIA A100 Tensor Core GPU and over 100GB/s for four NVIDIA A100 GPUs.

At SC23 Arcitecta and DDN introduced software defined storage solutions for AI and cloud applications. WDC was also showing SDS, its OpenFlex NVMe storage and GPUDirect storage.

The only AI Hardware startup to realize revenue exceeding $100M has finished the first phase of Condor Galaxy 1 AI Supercomputer with partner G42 of the UAE. Other Cerebras customers are sharing their CS-2 results at Supercomputing ‘23, building momentum for the inventor of wafer-scale computing. This company is on a tear.

Four short months ago, Cerebras announced the most significant deal any AI startup has been able to assemble with partner G42 (Group42), an artificial intelligence and cloud computing company. The eventual 256 CS-2 wafer-scale nodes with 36 Exaflops of AI performance will be one of the world’s largest AI supercomputers, if not the largest.

Cerebras has now finished the first data center implementation and started on the second. These two companies are moving fast to capitalize on the $70B (2028) gold rush to stand up Large Language Model services to researchers and enterprises, especially while the supply of NVIDIA H100 remains difficult to obtain, creating an opportunity for Cerebras. In addition, Cerebras has recently announced it has released the largest Arabic Language Model, the Jais30B with Core42 using the CS-2, a platform designed to make the development of massive AI models accessible by eliminating the need to decompose and distribute the problem.

A massive burst of gamma rays produced by the explosion of a star almost two billion light-years away was so powerful that it changed Earth’s atmosphere, according to scientists.


The brightest gamma-ray burst ever seen and detected impacted Earth’s atmosphere. It came from a supernova and may reveal why Earth has had mass extinctions in its past.