ASUS and Noctua will continue their collaboration
ASUS and Noctua, following the ASUS GeForce RTX 3070 Noctua Edition graphics card launched last October, will continue their collaboration with other upcoming products. The confirmation comes directly from the Austrian company which, responding to a user on Twitter who asked if a GeForce RTX 3080 Ti Noctua Edition was planned in the future, said: "We are aiming to create other cards in collaboration with ASUS, stay tuned! ”.We do aim to create further cards in collaboration with @Asus, stay tuned! 😉
- Noctua (@Noctua_at) March 21, 2022
At the moment, however, no further information has been released about it; therefore, we can only make assumptions. In addition to the possibility of also creating customized cooling solutions for AMD GPUs, such as Radeon RX 6950 XR, RX 6750 XT or RX 6650 XT, it is not excluded that we are already thinking about the future, with possible NVIDIA RTX 40 models (Ada Lovelace) and RX 7000 (RDNA 3).
The first card born from this collaboration, the ASUS GeForce RTX 3070 Noctua Edition, featured lights and shadows. The most important advantage over its competitors was certainly given by the performance in terms of cooling and quietness, while the aspect that was most criticized concerned the size, as the four-slot design could be a bit excessive for many people. Recall that the card was equipped with two Noctua NF-A12x25 fans and featured an unconventional video output configuration: three DisplayPort and 2 HDMI.
Photo Credit: Noctua Currently, we just have to wait a long time before we find out what will be the next “Noctua Edition” card produced by ASUS.
A couple of months ago, Noctua had updated its public line up for 2022, which also featured white fans, the new generation NH-D15 heatsink and a “120mm dual tower heatsink”. For more details about it, we suggest you to read our previous dedicated article.
GIGABYTE Contributes to MLCommons Community
GIGABYTE Technology, (TWSE: 2376), an industry leader in high-performance servers and workstations, today announced GIGABYTE as one of the founding members of MLCommons, an open engineering consortium with the goal of accelerating machine learning with benchmarking, large-scale open data sets, and best practices that are community-driven. In 2018, a group from Google, Baidu, Harvard, and Stanford created a benchmarking suite for machine learning called MLPerf. The purpose was to evaluate the new generation of accelerators to neural-networking jobs performance. By having benchmarking tools, companies and universities would be able to design hardware and software optimized for training and inferencing machine learning workloads. Now with MLCommons, collaboration across countries, industries, and research institutions into the dynamic field of machine learning can lead to greater progress in healthcare and other industries. GIGABYTE will continue support and use purpose-built servers to help the efforts. MLPerf Inference v0.7 results for datacenter were run with the GIGABYTE G292-Z43 paired with 2 x NVIDIA A100, and the GIGABYTE G482-Z52 with 16 x NVIDIA T4. “Data-driven decision making has always been a cornerstone in the fields of science and technology, and with the arrival of machine learning, incredibly large amounts of data need to be efficiently processed on platforms suited for it,” said Alan Chen, AVP at GIGABYTE Technology. “We support the efforts of MLCommons based on their mission of inclusion and aim to improve society through discoveries.” “MLCommons is uniting the industry’s leading experts and academics to develop and share best practices, benchmarks and public data sets that will increase machine learning’s positive impact on society,” said David Kanter, Executive Director at MLCommons. “We’re excited to welcome GIGABYTE as a founding member, and look forward to their support in accelerating innovation in the industry.”