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Tag: ARM

AWS Leans on Custom Silicon for Processing Advantage

Dec 21, 2020 |

You may know Amazon Web Services as a leading provider of public cloud services. But it’s also investing substantial sums into designing its own line of custom chips that can save customers a lot of money compared to Intel X86 and Nvidia GPU processors, for general purpose, as well as analytical and AI workloads

According to Raj Pai, vice president of AWS EC2 product management, tells Datanami that AWS customers will see a 40% price-performance increase when they adopt the sixth-generation EC2 instance, which is powered by a custom-designed Graviton2 processor that’s equipped with 64-bit Arm Neoverse cores. Read more…

Qeexo Adds Support for Arm’s Edge Processor

Sep 23, 2020 |

Qeexo, the “tinyML” specialist, said its AutoML platform now supports the smallest Cortex processors from Arm Ltd., making it the first vendor to automate machine learning on the Arm processor used for edge computing in sensors and microcontrollers. Read more…

Arm ML Processors Eye Object Detection

Feb 13, 2018 |

Arm Ltd., the U.K. chip intellectual property vendor, is rolling out a machine learning platform designed to boost the functionality of devices at the network edge, beginning with an object detection capability. Read more…

Will Hardware Drive Data Innovation Now?

Feb 10, 2017 |

The world has witnessed an unparalleled flowering of technical innovation that has impacted billions of people over the past decade, much of it driven by creative breakthroughs in software. But now tech leaders are looking for hardware to take the torch and drive the next wave of innovation on even bigger data looming over the horizon. Read more…

Solving Storage Just the Beginning for Minio CEO Periasamy

Feb 1, 2017 |

Yesterday marked the first day of general availability for the free and open source object storage system from Mino. But as Minio co-founder and CEO AB Periasamy explains, delivering the deceptively simple, S3-compatible file system is just a prerequisite for doing what he really wants—using deep learning techniques to extract insight from massive piles of unstructured data in new and powerful ways. Read more…

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