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Developers Turn To Analog For Neural Nets - Vimarsana News

Developers Turn To Analog For Neural Nets

Developers Turn To Analog For Neural Nets Replacing digital with analog circuits and photonics can improve performance and power, but it’s not that simple. Machine-learning (ML) solutions are proliferating across a wide variety of industries, but the overwhelming majority of the commercial implementations still rely on digital logic for their solution. With the exception of in-memory computing, analog solutions mostly have been restricted to universities and attempts at neuromorphic computing. However, that’s starting to change. “Everyone’s looking at the fact that deep neural network...

Grab-and-go dining options abound in Las Vegas - Vimarsana News

Grab-and-go dining options abound in Las Vegas

Grab-and-go dining options abound in Las Vegas By Alex Haase April 23, 2021 When exploring Vegas, there’s so much to see and do that it’s easy to get lost in excitement, lose track of time and forget to eat. But once hunger strikes, and you find there’s no time for a sit-down meal, there are several grab-and-go dining options around the Strip that are quick, delicious and satiating. So don’t settle for sad-looking chicken nuggets and limp french fries—step up your meals! Breakfast exists in Las Vegas, but it’s not a priority. And if you’re up late partying on the Strip, youâ€...

Cerebras 7nm WSE-2 processor packs in 2.6 trillion transistors - CPU - News - Vimarsana News

Cerebras 7nm WSE-2 processor packs in 2.6 trillion transistors - CPU - News

  At Hot Chips in August 2020, Cerebras started to tease a second gen WSE, which would be fabricated by TSMC on its 7nm process. The revamped full wafer chip would pack 2.6 trillion transistors for 850,000 AI optimised cores the chip designers teased. Now the 7nm-based WSE-2 has been fully unveiled. The WSE-2 will be the power behind the Cerebras CS-2, "the industry’s fastest AI computer, designed and optimized for 7nm and beyond". According to Cerebras the new AI computer will be more than twice as fast as the first-gen CS-1. "In AI compute, big chips are king, as they process information...

Source: hexus.net
Cerebras Unveils Wafer Scale Engine Two (WSE2): 2.6 Trillion Transistors, 100% Yield - Vimarsana News

Cerebras Unveils Wafer Scale Engine Two (WSE2): 2.6 Trillion Transistors, 100% Yield

The last few years has seen a glut of processors enter the market with the sole purpose of accelerating artificial intelligence and machine learning workloads. Due to the different types of machine learning algorithms possible, these processors are often focused on a few key areas, but one thing limits them all – how big you can make the processor. Two years ago Cerebras unveiled a revolution in silicon design: a processor as big as your head, using as much area on a 12-inch wafer as a rectangular design would allow, built on 16nm, focused on both AI as well as HPC workloads. Today the comp...

The [Intel] empire strikes back to reclaim the performance crown - Vimarsana News

The [Intel] empire strikes back to reclaim the performance crown

New 3rd Gen Intel Xeon Scalable Processor (Codename: Ice Lake-SP) via Irma Esmer Papazian (km) Collectively, the architectural improvements boost raw integer performance (IPC) by 18% and the speed of various cryptographic algorithms by between 1.5 and 8-times. The Ice Lake SoC also includes a new I/O and memory design with four memory controllers, Intel's Total Memory Encryption (TME) that improves memory bandwidth by 40% or more. Improvements to its Speed Select technology responds faster to changing demands and allows customizing power use and frequencies for each core to better match CPU p...