Advanced Computing in the Age of AI|Tuesday, October 27, 2020
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CPUs

Nvidia Expands Its DPU Family, Unveils New Datacenter on Chip Architecture

Nvidia GTC 2020 – Nvidia kicked off its GTC 2020 GPU Technology Conference with a wide range of intriguing AI announcements, from the introduction of its latest Bluefield-2 Data ...Full Article

Intel Unveils New Atom x6000E and 11th Gen Core CPUs for IoT and Edge Uses

All-new Intel Atom e6000E and 11th Generation Intel Core processors aimed at AI, IoT and industrial uses were launched Sept. 23 at the company’s Intel Industrial Summit 2020 virtual ...Full Article

Photonics Processor Aimed at AI Inference

Silicon photonics is exhibiting greater innovation as requirements grow to enable faster, lower-power chip interconnects for traditionally power-hungry applications like AI inferencing. With that in mind, scientists at Massachusetts ...Full Article

How AI and ML Applications Will Benefit from Vector Processing

As expected, artificial intelligence (AI) and machine learning (ML) applications are already having an impact on society. Many industries that we tap into daily—such as banking, financial services and ...Full Article

AMD, HPE Team to Top Server Benchmarks

Hewlett Packard Enterprise and Advanced Micro Devices are claiming a batch of benchmark performance records for HPE servers equipped with AMD’s latest Epyc processor. The virtualization performance and power ...Full Article

Intel Adds 56-core Socketed Cooper Lake

Intel today announced that its forthcoming Cooper Lake Xeon Scalable processors, based on Intel’s 14nm++ process, will come with up to 56-cores in a socketed form factor, leveraging the ...Full Article

In Challenge to Intel, AMD Eyes Server Upgrades

AMD is zeroing in on datacenter overhauls as a means of chipping away at rival Intel Corp.’s x86 dominance of the enterprise IT infrastructure market. Some market analysts are ...Full Article

Intel Extends Support for IoT Vision Edge Apps

In the IoT era unfolding before us, the next frontier is vision applications, applying ML and DL techniques for real-time/near-time analytics of video data from cameras at the edge.  ...Full Article

FPGAs, ASICs Seen Driving Machine Learning

As machine learning makes steady progress in enterprise datacenters, industry observers are forecasting the emergence of a new wave of machine learning chips in the coming year, a market ...Full Article

‘Run Anywhere’ Enterprise Analytics and HPC Converge at TACC

Advances in storage, processor, and cloud technology have made run-anywhere big data analytics available to small and medium sized businesses (SMBs) as well as Fortune 1000 companies. Run-anywhere means ...Full Article
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