CUDA, Amazon Web Services, Graphics processing unit, Nvidia, Learning, Bit rate

New – GPU-Equipped EC2 P4 Instances for Machine Learning & HPC

On Nov 3, 2020
@smolix shared
Now available on @awscloud - P4d instances with up to 8 of @nvidia A100 GPUs. 8TB SSD storage, over 1TB RAM, and whopping 400 Gb/s network connectivity attached to the GPUs! The P4d offers a 2.5x improvement in TFlops over the P3d servers. https://t.co/St71HuQHd6
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The Amazon EC2 team has been providing our customers with GPU-equipped instances for nearly a decade. The first-generation Cluster GPU instances were launched in late 2010, followed by the G2 (2013), P2 (2016), P3 (2017), G3 (2017), P3dn (2018), and G4 (2019) instances. ...

aws.amazon.com
On Nov 3, 2020
@smolix shared
Now available on @awscloud - P4d instances with up to 8 of @nvidia A100 GPUs. 8TB SSD storage, over 1TB RAM, and whopping 400 Gb/s network connectivity attached to the GPUs! The P4d offers a 2.5x improvement in TFlops over the P3d servers. https://t.co/St71HuQHd6
Open

New – GPU-Equipped EC2 P4 Instances for Machine Learning & HPC

New – GPU-Equipped EC2 P4 Instances for Machine Learning & HPC

The Amazon EC2 team has been providing our customers with GPU-equipped instances for nearly a decade. The first-generation Cluster GPU instances were launched in late 2010, followed by the ...

AWS Launches Nvidia GPU-Driven EC2 P4d Instances for AI, HPC

AWS Launches Nvidia GPU-Driven EC2 P4d Instances for AI, HPC

Amazon Web Services today announced the general availability of Amazon EC2 P4d Instances powered by Nvidia GPUs with EC2 UltraClusters capability delivering 3x faster performance, up to 60 ...

AWS to offer NVIDIA A100 Tensor Core GPU-based Amazon EC2 instances

AWS to offer NVIDIA A100 Tensor Core GPU-based Amazon EC2 instances

Tens of thousands of customers rely on AWS for building machine learning (ML) applications. Customers like Airbnb and Pinterest use AWS to optimize their search recommendations, Lyft and ...

AWS Announces General Availability of Amazon EC2 P4d Instances with EC2 UltraClusters Capability

AWS Announces General Availability of Amazon EC2 P4d Instances with EC2 UltraClusters Capability

Next-generation accelerated computing instances powered by NVIDIA A100 Tensor Core GPUs and AWS petabit-scale networking provide up to 3x faster time to train and 60% lower cost than ...

Overview of AWS EC2 Hardware Accelerated Instances

Overview of AWS EC2 Hardware Accelerated Instances

We want to make it as easy as possible for you to get started using EC2 Hardware Accelerated Instances for your Machine Learning, HPC, and Graphics applications. Amazon EC2 Inf1 instances ...

AWS Announces New GPU-Accelerated EC2 Instances and Networking Enhancements

AWS Announces New GPU-Accelerated EC2 Instances and Networking Enhancements

Today At AWS re:Invent in Las Vegas, Amazon Web Services, announced a brand new GPU instance offering for Amazon Elastic Compute Cloud (Amazon EC2).The new P3dn GPU instances are ideal for ...

MACHINE LEARNING AND ANALYTICS

MACHINE LEARNING AND ANALYTICS

CUDA PRIMITIVES POWER DATA SCIENCE ON GPUs NVIDIA provides a suite of machine learning and analytics software libraries to accelerate end-to-end data science pipelines entirely on GPUs. ...

AWS Adds New Instances, Network Enhancements for HPC

AWS Adds New Instances, Network Enhancements for HPC

Amazon Web Services (AWS) has launched two new HPC cloud instances that support 100Gbps networking, as well as a network interface that supports MPI communication that can scale to tens of ...

GPUs on Compute Engine

GPUs on Compute Engine

This document provides an overview of GPUs on Compute Engine, for more information about working with GPUs, review the following resources: To add or remove GPUs to a VM instance, see ...

Amd deep learning 2020

Amd deep learning 2020

Fall 2020 CPU (Cores) Microcode Co-Op/Intern Engineer - (76746) Deep Learning Algorithm Engineering Deep Learning Chipset Market 2021 : Latest Trends and Advancement in Industry with Top ...

Ensuring Cross-Cloud Compatibility for GPU Workloads

Ensuring Cross-Cloud Compatibility for GPU Workloads

Tips for keeping workloads open and portable and maximizing GPU investments Ask any teenager, and you can learn a lot about the importance of GPUs. When trekking across the island in ...

TensorFlow, PyTorch or MXNet? A comprehensive evaluation on NLP & CV tasks with Titan RTX

TensorFlow, PyTorch or MXNet? A comprehensive evaluation on NLP & CV tasks with Titan RTX

Thanks to the CUDA architecture [1] developed by NVIDIA, developers can exploit GPUs’ parallel computing power to perform general computation without extra efforts. Our objective is to ...