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Leanna Perr

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Aug 2, 2024, 8:42:53 PM8/2/24

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With MGX, manufacturers start with a basic system architecture optimized for accelerated computing for their server chassis, and then select their GPU, DPU and CPU. Design variations can address unique workloads, such as HPC, data science, large language models, edge computing, graphics and video, enterprise AI, and design and simulation. Multiple tasks like AI training and 5G can be handled on a single machine, while upgrades to future hardware generations can be frictionless. MGX can also be easily integrated into cloud and enterprise data centers.

Different Designs for Different Needs
Data centers increasingly need to meet requirements for both growing compute capabilities and decreasing carbon emissions to combat climate change, while also keeping costs down.

Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, features and availability of our products, collaborations, services and technologies, including the NVIDIA MGX server specification, Omniverse, NVIDIA GPUs including H100, L40 and L4, NVIDIA DPUs including BlueField-3, NVIDIA CPUs including x86 CPUs, NVIDIA HPCs, large language models, and edge computing, Grace CPU Superchip, GH200 Grace Hopper Superchip, chassis, ConnectX-7 network adapters, NVIDIA HGX, NVLink, NVIDIA AI Enterprise, and the NVIDIA AI platform; our collaborations with QCT, Supermicro, ASRock Rack, ASUS, GIGABYTE, Pegatron and SoftBank Corp., and the benefits, impact, performance and availability thereof; enterprises seeking more accelerated computing options when architecting data centers to meet their specific business and application needs; and data centers increasingly needing to meet requirements for growing compute capabilities and decreasing carbon emissions, while also keeping costs down are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

2023 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, BlueField, ConnectX, NVIDIA Grace, NVIDIA Grace Hopper, NVIDIA HGX, NVIDIA MGX and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

GigaByte is an Open Science journal that has the principle goal to match the speed of publishing to the speed of research. When it launched in September 2020, it was one of the first journals to mandate the use of preprints, to help increase transparency and speed up the dissemination of research. GigaByte then connected their articles to previously published preprint versions by crosslinking and highlighting these links via an Article Information section on their articles. With the rise of preprint peer review and evaluation policies, the logical next step has been to utilise bioRxiv and Sciety integrations that enable the sharing of these open peer reviews on any associated preprint in bioRxiv and medRxiv. We also share these preprint peer reviews in Sciety 'Reviewing Groups' to enable further discoverability and insight for readers.

About GigaScience Press
GigaScience Press is BGI's Open Access Publishing division, which publishes scientific journals and data. Its publishing projects are carried out with international publishing partners and infrastructure providers, including Oxford University Press and River Valley Technologies. It currently publishes two award-winning data-centric journals: its premier journal GigaScience (launched in 2012), which won the 2018 American Publishers PROSE award for innovation in journal publishing, and its new journal GigaByte (launched 2020), which won the 2022 ALPSP Award for Innovation in Publishing. The press also publishes data, software, and other research objects via its GigaDB.org database. To encourage transparent reporting of scientific research and to enable future access and analyses, it is a requirement of manuscript submission to all GigaScience Press journals that all supporting data and source code be made openly available in GigaDB or in a community approved, publicly available repository.

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

The AORUS Gen4 5000E SSDs come in two capacities, 500 GB and 1,000 GB. According to the information in the GIGABYTE press release, this new development keeps the system operating at high-profile performance with low-profile power consumption. Along with the built-in Thermal Guard feature found on GIGABYTE motherboards, AORUS Gen4 5000E SSDs can unleash the ultimate performance of PCIe Gen4 M.2 SSDs without any thermal throttling and provide ultra-fast, durable, and low-temperature user experience.

According to the company, the AORUS Gen4 5000E solid-state-drives have passed several comprehensive performance and stability tests, including heavy-loading, high-temperature, and high-stress tests, to ensure users the most stable SSDs with next-level performance. In addition, TRIM & S.M.A.R.T technology ensures stability and durability, while HMB (Host Memory Buffer) enables system memory to collaborate with SSD to optimize overall performance. But like all SSDs, the new GIGABYTE AORUS Gen4 5000E SSDs are vulnerable to some defects, including abrupt power loss, magnetic fields, and electric charges, which may lead to failures and potential SSD data loss.

If that happens, the owners of the GIGABYTE AORUS Gen4 5000E SSDs will need to contact a professional data recovery services provider to get their valuable data back. ACE Data Recovery team leads all competitors in their ability to recover hard drives of all makes and models. ACE Data Recovery engineers are ready to help the GIGABYTE AORUS Gen4 5000E SSD owners to get their critical data back.