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AWS Graviton is a family of 64-bit ARM-based CPUs designed by the Amazon Web Services (AWS) subsidiary Annapurna Labs. The processor family is distinguished by its lower energy use relative to x86-64, static clock rates, and lack of simultaneous multithreading. It was designed to be tightly integrated with AWS servers and datacenters, and is ...
The Cortex-A72 is a 3-way decode out-of-order superscalar pipeline. [1] It is available as SIP core to licensees, and its design makes it suitable for integration with other SIP cores (e.g. GPU , display controller , DSP , image processor , etc.) into one die constituting a system on a chip (SoC).
Neoverse V2 (code named Demeter) is derived from the ARM Cortex-X3 and implements the ARMv9.0-A instruction set. It was officially announced by Arm on September 14, 2022. [9] [10] NVIDIA Grace, [11] AWS Graviton4 [12] and Google Axion [13] are based on the Neoverse V2.
Processor SOCs Other products ARM1 ARM1 ARM Evaluation System second processor for BBC Micro: ARM2 ARM2 Acorn Archimedes, ChessMachine: ARM250 ARM250 Acorn Archimedes ARM3 ARM3
The ARM Cortex-A is a group of 32-bit and 64-bit RISC ARM processor cores licensed by Arm Holdings.The cores are intended for application use. The group consists of 32-bit only cores: ARM Cortex-A5, ARM Cortex-A7, ARM Cortex-A8, ARM Cortex-A9, ARM Cortex-A12, ARM Cortex-A15, ARM Cortex-A17 MPCore, and ARM Cortex-A32, 32/64-bit mixed operation cores: ARM Cortex-A35, ARM Cortex-A53, ARM Cortex ...
ARM Cortex-A72 The ARM Cortex-A57 is a central processing unit implementing the ARMv8-A 64-bit instruction set designed by ARM Holdings . The Cortex-A57 is an out-of-order superscalar pipeline. [ 1 ]
The ARM Cortex-A78 is the successor to the ARM Cortex-A77.It can be paired with the ARM Cortex-X1 and/or ARM Cortex-A55 CPUs in a DynamIQ configuration to deliver both performance and efficiency.
The ARM Cortex-A710 is the successor to the ARM Cortex-A78, being the First-Generation Armv9 “big” Cortex CPU. [1] It is the companion to the ARM Cortex-A510 "LITTLE" efficiency core.