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Supermicro steps up with NVIDIA EGX for AI on the Edge

Today Supermicro announced support for the NVIDIA EGX platform, allowing customers to rapidly develop AI applications in their Edge networks. “Enhancing our GPU servers and advanced platforms optimized for AI at the Edge technology with NVIDIA EGX and NGC provides a wide selection of optimized and efficient solutions for the intelligent Edge and for seamless integration from the Edge to the cloud.”

NVIDIA EGX Accelerates AI on TYAN Edge Server

Today TYAN announced that it is teaming with NVIDIA to integrate the NVIDIA EGX platform with its Thunder SX TN76-B7102 edge server, completing TYAN’s GPU server product line. “NVIDIA EGX provides the missing link for low-latency AI computing at the edge with an advanced, light-compute platform, reducing the amount of data that needs to be pushed to the cloud.”

Quadric.io to Build “Supercomputer for Edge Devices”

Today chip startup Quadric.io announced plans to build the world’s first “supercomputer” specifically designed for the real-time needs of autonomous systems. “Instead of building a heterogeneous system with CPUs/GPUs/FPGAs & AI chips and dealing with that complexity of software and hardware integration, Quadric has the technology to handle most of the application in a single unified hardware architecture and software model.”

Qualcomm to bring power-efficient AI Inference to the Cloud

Today Qualcomm announced that it is bringing the Company’s artificial intelligence expertise to the cloud with the Qualcomm Cloud AI 100. “Our all new Qualcomm Cloud AI 100 accelerator will significantly raise the bar for the AI inference processing relative to any combination of CPUs, GPUs, and/or FPGAs used in today’s data centers,” said Keith Kressin, senior vice president, product management, Qualcomm Technologies, Inc.

High Performance Embedded Computing

SkyScale’s Tim Miller contends that the recent combination of One Stop Systems and Bressner create an ideal European ‘AI on the Fly’ embedded HPC partner for OEMs addressing the growing HPC at the Edge and HPC on the move markets. In this guest post, Miller explores how high performance embedded computing can address the growing HPC at the Edge and HPC on the move markets.

Edge Computing Proves Critical for Drilling Rigs, Pipeline Integrity

This is the third entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to learn how edge computing is playing a role in operating drilling rigs, ensuring pipeline integrity and more.