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The Blue Gene/P supercomputer "Intrepid" at Argonne National Laboratory (pictured 2007) runs 164,000 processor cores using normal data center air conditioning, grouped in 40 racks/cabinets connected by a high-speed 3D torus network. [1] [2] A supercomputer is a type of computer with a high level of performance as compared to a general-purpose ...
HPE Frontier at the Oak Ridge Leadership Computing Facility is the world's first exascale supercomputer. Exascale computing refers to computing systems capable of calculating at least 10 18 IEEE 754 Double Precision (64-bit) operations (multiplications and/or additions) per second (exa FLOPS)"; [1] it is a measure of supercomputer performance.
A Fluorinert-cooled Cray-2 supercomputer. Four years after leaving CDC, Cray delivered the 80 MHz Cray-1 in 1976, and it became the most successful supercomputer in history. [18] [22] The Cray-1, which used integrated circuits with two gates per chip, was a vector processor.
1×10 6: computing power of the Motorola 68000 commercial computer introduced in 1979. [citation needed] 1.2×10 6: IBM 7030 "Stretch" transistorized supercomputer, 1961; 5×10 6: CDC 6600, first commercially successful supercomputer, 1964 [2] 11×10 6: Intel i386 microprocessor at 33 MHz, 1985; 14×10 6: CDC 7600 supercomputer, 1967 [2]
The powerful supercomputers of the era were at the other end of the computing spectrum from the microcomputers, and they also used integrated circuit technology. In 1976, the Cray-1 was developed by Seymour Cray, who had left Control Data in 1972 to form his own company. This machine was the first supercomputer to make vector processing ...
Approaches to supercomputer architecture have taken dramatic turns since the earliest systems were introduced in the 1960s. Early supercomputer architectures pioneered by Seymour Cray relied on compact innovative designs and local parallelism to achieve superior computational peak performance. [ 1 ]
AWS unveiled a new line of its own AI chips and plans for a supercomputer at its Re: Invent conference, signalling a shift away from Nvidia.
Tesla Dojo is a supercomputer designed and built by Tesla for computer vision video processing and recognition. [1] It is used for training Tesla's machine learning models to improve its Full Self-Driving (FSD) advanced driver-assistance system.