NVIDIA Announces CPU for Giant AI and High Performance Computing Workloads
Tuesday, April 13, 2021 11:10AM IST (5:40AM GMT)
Bangalore, Karnataka, India:
‘Grace’ CPU delivers 10x performance leap for systems training giant AI models, using energy-efficient Arm cores
Swiss Supercomputing Center and US Department of Energy’s Los Alamos National Laboratory First to Build NVIDIA CPU-Powered Supercomputers
NVIDIA today announced its first data center CPU, an Arm-based processor that will deliver 10x the performance of today’s fastest servers on the most complex AI and high performance computing workloads.
The result of more than 10,000 engineering years of work, the NVIDIA Grace CPU is designed to address the computing requirements for the world’s most advanced applications including natural language processing, recommender systems and AI supercomputing that analyze enormous datasets requiring
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GTC Nvidia has created a pair of small data-center-friendly GPUs because it doesn’t think customers will get into AI acceleration unless they can use the servers they already operate.
The new models – the A10 and A30 – require one and two full-height full-length PCIe slots, respectively. Both employ the Ampere architecture Nvidia uses on its other graphics processors. But both are rather smaller than the company’s other GPUs, and that matters in the context of the recently launched AI Enterprise bundle that Nvidia packages exclusively on VMware’s vSphere.
Nvidia GeForce GTX 1650 Restock: Latest Stock News, Price and Where to Buy
The demand for GPUs is still rising and Nvidia is taking new measures to counter the demand. Sources say that Nvidia is supplying its business partners with the GeForce GTX 1650 to bring to the market.
Photo : Nana Dua/Unsplash
The demand for GPUs is still rising and Nvidia is taking new measures to counter the demand. Sources say that Nvidia is supplying its business partners with the GeForce GTX 1650 to bring to the market. The GPU is coming back as a possible stopgap solution to the graphics card global shortage.
AMD is planning to introduce an active bridge chiplet with integrated cache on an upcoming GPU architecture. A new patent filed by the company has been spotted describing the use of the active bridge chiplet, which seems to offer a significant upgrade over the passive bridge chiplet design showed earlier this year.
According to the patent shared on Reddit by u/marakeshmode, the active bridge chiplet would work an intercommunication lane across the chiplet dies. This would also feature a shared L3 cache buffer for all compute units, similar to Infinity Cache on Radeon RX 6000 series GPUs.
The patent further explains that any communication made between the GPU chiplets would go through the active bridge chiplet. For developers, the new GPUs would work as a single, monolithic GPU, ignoring any chiplet-specific considerations from older MCM designs.
Intel s 14nm Rocket Lake-S processors, in an era where AMD is at 7nm and smartphone processors are at 5nm, are Intel s newest 11th-gen processors, led by its flagship Intel Core i9-11900K, with Intel not having released an i9 range until AMD s challenge a few years ago.
Intel is a great example of why competition matters. For most of the 2010s, it released new generations of Core i-Series processors with what were more or less incremental improvements on a year-by-year basis, even if it is obvious that a 2021 processor is much better than one from 5 or 10 year ago.
Intel has been shamed by AMD s processor leadership and dominance over the past few years, so much so that Intel was forced to release a Core i9 series processor to compete, something Intel had never bothered to do in the decade or so before that.