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News
Application-specific integrated circuits
May 14, 2020
Inspur Releases 5 New AI Servers Powered by NVIDIA A100 Tensor Core GPUs
May 06, 2020
Run:AI Creates First Fractional GPU Sharing for Kubernetes Deep Learning Workloads
Mar 17, 2020
Socionext Prototypes Low-Power AI Chip with Quantized Deep Neural Network Engine
Mar 17, 2020
Run:AI Announces General Availability of Its K8s-based Deep Learning Virtualization Platform
Jan 07, 2020
ResNet-50 Score Confirms Leading Inference Performance of Groq Processor
Dec 19, 2019
Silverdraft Announces World's First Graphics Engine With GPUs
Nov 15, 2019
Core Scientific Provides NetApp ONTAP AI Infrastructure as a Service - Powered by NVIDIA DGX Systems for Deep Learning solutions
Nov 14, 2019
Groq Announces World's First Architecture Capable of 1,000,000,000,000,000 Operations per Second on a Single Chip
Oct 22, 2019
Synopsys Launches New ARC VPX DSP Processor IP for High-performance Signal Processing SoC Designs
Oct 17, 2019
StradVision VP of Engineering Dr. Jaewon Sung unveils latest deep-learning innovations for Autonomous Vehicles at Seoul event
Oct 15, 2019
Neural Network Inference at Dramatically Lower Latency Compared to GPUs with Zebra by Mipsology on Xilinx Alveo U50 Accelerators
Oct 10, 2019
Paperspace Introduces Free GPU Cloud Service For ML Developers
Oct 08, 2019
ESA Contract Awarded for High-Performance Compute Board
Oct 08, 2019
AImotive and Nextchip announce aiWare to be integrated into next-generation Apache5 Imaging Edge Processor
Sep 19, 2019
Intensivate Engages SiFive's RISC-V Expertise to Develop Leading Accelerator
Sep 16, 2019
Synopsys' New Embedded Vision Processor IP Delivers Industry-Leading 35 TOPS Performance for Artificial Intelligence SoCs
Sep 16, 2019
European $16.04 Bn Artificial Intelligence Chip Markets, Analysis 2018-2019 & Forecasts 2019-2027
Sep 16, 2019
Asia Pacific Artificial Intelligence Chip Market Report 2018-2019 & 2027
Sep 10, 2019
Core Scientific and SFL Scientific partner to deliver hosted-AI solutions
Sep 04, 2019
Nations Technologies Selects QuickLogic's ArcticPro eFPGA to Power its Next Generation Low Power IoT SoC
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