Next generation GPU instances, optimized for machine learning and
high performance computing, are the most powerful in the cloud
SEATTLE--(BUSINESS WIRE)--Oct. 26, 2017--
Today, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ:
AMZN), announced P3 instances, the next generation of Amazon Elastic
Compute Cloud (Amazon EC2) GPU instances designed for compute-intensive
applications that require massive parallel floating point performance,
including machine learning, computational fluid dynamics, computational
finance, seismic analysis, molecular modeling, genomics, and autonomous
vehicle systems. The first instances to include NVIDIA Tesla V100 GPUs,
P3 instances are the most powerful GPU instances available in the cloud.
To get started with P3 instances, visit https://aws.amazon.com/ec2/instance-types/p3/.
P3 instances allow customers to build and deploy advanced applications
with up to 14 times better performance than previous-generation Amazon
EC2 GPU compute instances, and reduce training of machine learning
applications from days to hours. With up to eight NVIDIA Tesla V100
GPUs, P3 instances provide up to one petaflop of mixed-precision, 125
teraflops of single-precision, and 62 teraflops of double-precision
floating point performance, as well as a 300 GB/s second-generation
NVIDIA NVLink interconnect that enables high-speed, low-latency
GPU-to-GPU communication. P3 instances also feature up to 64 vCPUs based
on custom Intel Xeon E5 (Broadwell) processors, 488 GB of DRAM, and 25
Gbps of dedicated aggregate network bandwidth using the Elastic Network
Adapter (ENA).
“When we launched our P2 instances last year, we couldn’t believe how
quickly people adopted them,” said Matt Garman, Vice President of Amazon
EC2. “Most of the machine learning in the cloud today is done on P2
instances, yet customers continue to be hungry for more powerful
instances. By offering up to 14 times better performance than P2
instances, P3 instances will significantly reduce the time involved in
training machine learning models, providing agility for developers to
experiment, and optimizing machine learning without requiring large
investments in on-premises GPU clusters. In addition, high performance
computing applications will benefit from up to 2.7 times improvement in
double-precision floating point performance.”
Airbnb’s community marketplace provides access to millions of unique
accommodations and local experiences in more than 65,000 cities and 191
countries. “At Airbnb, we’re using machine learning to optimize search
recommendations and improve dynamic pricing guidance for hosts, both of
which translate to increased booking conversions. These use-cases are
highly specific to our industry and require machine learning models that
use several different types of data sources, such as guest and host
preferences, listing location and condition, seasonality, and price,”
said Nick Handel at Airbnb. “With Amazon EC2 P3 instances, we have the
ability to run training workloads faster, enabling us to iterate more,
build better machine learning models and reduce cost.”
Schrödinger’s mission is to improve human health and quality of life by
developing advanced computational methods that transform the way
scientists design therapeutics and materials. “Our industry has a
pressing need for performant, accurate, and predictive models to extend
the scale of discovery and optimization, complementing and going beyond
the traditional experimental approach,” said Robert Abel, Senior Vice
President of Science at Schrödinger. “Amazon EC2 P3 instances with their
high performance GPUs allow us to perform four times as many simulations
in a day as we could with P2 instances. This performance increase,
coupled with the ability to quickly scale in response to new compound
ideas, gives our customers the ability to bring lifesaving drugs to
market more quickly.”
AWS Deep Learning Machine Images (AMIs) are available in AWS Marketplace
to help customers get started within minutes. The Deep Learning AMI
comes preinstalled with the latest releases of Apache MXNet, Caffe2 and
TensorFlow with support for Tesla V100 GPUs, and will be updated to
support P3 instances with other machine learning frameworks such as
Microsoft Cognitive Toolkit and PyTorch as soon as these frameworks
release support for Tesla V100 GPUs. Customers can also use the NVIDIA
Volta Deep Learning AMI that integrates deep learning framework
containers from NVIDIA GPU Cloud, or start with AMIs for Amazon Linux,
Ubuntu 16.04, Windows Server 2012 R2, or Windows Server 2016.
With P3 instances, customers have the freedom to choose the optimal
framework for their application. “We are excited to support Caffe2 on
the new Amazon EC2 P3 instances. The unparalleled power and capability
of P3 instances allow developers to train and run models very
efficiently at high scale,” said Yangqing Jia, Research Scientist
Manager at Facebook. “It will help new innovations get to customers in
hours instead of days by taking advantage of the speed with P3 and our
modular, scalable deep learning framework with Caffe2.”
Customers can launch P3 instances using the AWS Management Console, AWS
Command Line Interface (CLI), and AWS SDKs. Amazon EC2 P3 Instances are
generally available in the US East (N. Virginia), US West (Oregon), EU
West (Ireland), and Asia Pacific (Tokyo) regions with support for
additional regions coming soon. They are available in three sizes, with
one, four, and eight GPUs, and can be purchased On-demand, Reserved or
Spot instances.
About Amazon Web Services
For 11 years, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud platform. AWS offers over 90
fully featured services for compute, storage, networking, database,
analytics, application services, deployment, management, developer,
mobile, Internet of Things (IoT), Artificial Intelligence (AI),
security, hybrid and enterprise applications, from 44 Availability Zones
(AZs) across 16 geographic regions in the U.S., Australia, Brazil,
Canada, China, Germany, India, Ireland, Japan, Korea, Singapore, and the
UK. AWS services are trusted by millions of active customers around the
world — including the fastest-growing startups, largest enterprises, and
leading government agencies — to power their infrastructure, make them
more agile, and lower costs. To learn more about AWS, visit https://aws.amazon.com.
About Amazon
Amazon is guided by four principles: customer obsession rather than
competitor focus, passion for invention, commitment to operational
excellence, and long-term thinking. Customer reviews, 1-Click shopping,
personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle
Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa
are some of the products and services pioneered by Amazon. For more
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