Join a private GTC Session watch party as OSS's guest for a GTC session covering an in depth discussion of NVIDIA's upcoming Grace CPU and its applications. OSS will be incorporating this exciting technology in its AI Transportable product line beginning next year.
Join a private GTC Session watch party as OSS's guest for a GTC session covering an in depth discussion of NVIDIA's upcoming Grace CPU and its applications. OSS will be incorporating this exciting technology in its AI Transportable product line beginning next year.
The Grace SoC, NVIDIA’s first CPU SoC, built using up to 72 Next-Generation Arm v9 cores, LPDDR5x memory and server-grade RAS. The NVIDIA’s high-speed NVLINK-C2C unlocks the ability to build both the Grace CPU Superchip, and the Grace Hopper Superchip. The Grace CPU Superchip includes up to 144 ARM v9 cores, and doubles memory and IO capabilities of Grace as a single coherent SMP compute node. The Grace Hopper Superchip pairs NVIDIA Grace CPU with NVIDIA Hopper GPU and unlocks a coherent programming model between the two. This talk will detail the CPU number of cores, the memory subsystem, NVLINK-C2C link, and IO capabilities as well as the coherent programming mode and software. Both Grace CPU Superchip and the Grace Hopper Superchip are expected to be available in the first half of 2023.
WPP41129b - Private Watch Party : Inside Grace Date: Monday, September 26th 2pm ET / 1pm CT / 12pm MT / 11am PT
Panel
Filippo Spiga, Alliance Manager Arm HPC Ecosystem – NVIDIA
Jonathon Evans, Distinguished Engineer – NVIDIA
Giri Chukkapalli, Distinguished Engineer – NVIDIA
Ian Finder, Product Manager for Grace CPU platform – NVIDIA
John Linford, Technical Product Manager for Grace CPU SW – NVIDIA
Format
Replay of Inside Grace GTC talk by Jonathon Evans
We will take questions from customers and discuss our CPU direction
Q&A from NVIDIA experts on NVIDIA Grace ARM CPU and Software
Make sure to see One Stop System's line of rugged AI Transportable solutions for autonomous vehicles, threat detection and surveillance for the US Army. We'll have our new cutting-edge artificial intelligence products on display in Booth 1361 at AUSA 2022 in Washington D.C.
The Association of the United States Army’s Annual Meeting is the largest land power exposition and professional development forum in North America. Taking place over three days, the Annual Meeting is designed to deliver the Army’s message by highlighting the capabilities of organizations and presenting a wide range of industry products and services. AUSA accomplishes this task throughout the entire event by providing informative and relevant presentations on the State-of-the-Army, panel discussions and seminars on pertinent military and national security subjects, and a variety of valuable networking events available to all that attend.
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Join us for the Navy League's Sea-Air-Space Exposition in National Harbor at Booth #847 where we will showcase our AI Transportable lineup including our Rigel Edge Supercomputer for rugged edge applications as well as many other military grade products. Speak with one of our highly trained sales engineers for a custom deployable solution built as a critical defense system for land, sea and air.
We recently exhibited at AFCEA West with partner TMGcore at the San Diego Convention Center. We showcased the release of our newest rugged and prototype system designed for the U.S. Army, along with our latest AI products such as the liquid immersion cooled Rigel Edge Supercomputer and our Intel and AMD 3U Short Depth Server (SDS). Be sure to read our next newsletter and learn about our next show, Sea Air Space!
In this video, Jaan Mannik, Director of Commercial Sales at OSS, does a quick walkthrough of Centauri Storage Expansion. Centauri offers rugged high-speed storage in a compact chassis for in vehicle data logging and fast data transfer using its hot-swap data canister. Built as a modular storage expansion to the OSS 3U SDS, Centauri can store up to 256 TB of NVMe storage in its 8-drive canister. This video highlights some of the most important features of Centauri and how it is the right fit for your AI edge application.
