New GPU instance type offers the most processing power available
in the cloud for artificial intelligence, high-performance
computing and big data processing
New Amazon Machine Image (AMI) comes pre-installed with
frameworks that help customers reduce model training time from
weeks to hours
Amazon Web Services, Inc. (AWS), an Amazon.com company
(NASDAQ:AMZN), today announced the availability of P2 instances, a
new GPU instance type for Amazon Elastic Compute Cloud (Amazon EC2)
designed for compute-intensive applications that require massive
parallel floating point performance, including artificial
intelligence, computational fluid dynamics, computational finance,
seismic analysis, molecular modeling, genomics, and rendering. With
up to 16 NVIDIA Tesla K80 GPUs, P2 instances are the most powerful
GPU instances available in the cloud. To get started with P2
instances, visit http://aws.amazon.com/ec2/instance-types/p2/.
P2 instances allow customers to build and deploy
compute-intensive applications using the CUDA parallel computing
platform or the OpenCL framework without up-front capital
investments. To offer the best performance for these high
performance computing applications, the largest P2 instance offers
16 GPUs with a combined 192 Gigabytes (GB) of video memory, 40,000
parallel processing cores, 70 teraflops of single precision
floating point performance, over 23 teraflops of double precision
floating point performance, and GPUDirect technology for higher
bandwidth and lower latency peer-to-peer communication between
GPUs. P2 instances also feature up to 732 GB of host memory, up to
64 vCPUs using custom Intel Xeon E5-2686 v4 (Broadwell) processors,
dedicated network capacity for I/O operation, and enhanced
networking through the Amazon EC2 Elastic Network Adaptor.
“Two years ago, we launched G2 instances to support customers
running graphics and compute-intensive applications,” said Matt
Garman, Vice President, Amazon EC2. “Today, as customers embrace
heavier GPU compute workloads such as artificial intelligence,
high-performance computing, and big data processing, they need even
higher GPU performance than what was previously available. P2
instances offer seven times the computational capacity for single
precision floating point calculations and 60 times more for double
precision floating point calculations than the largest G2 instance,
providing the best performance for compute-intensive workloads such
as financial simulations, energy exploration and scientific
computing.”
Clarifai provides image and video recognition APIs for some of
the world’s most innovative companies. “Deep learning plays a
central role in our image and video classification APIs, and high
performance GPUs in the AWS Cloud can vastly accelerate inference
for our algorithms,” said Matthew Zeiler, CEO, Clarifai. “Amazon
EC2 P2 instances will give us the agility to scale up to serving
numerous models in parallel, delivering results faster than
previously possible without massive capital expenditures,
un-utilized hardware, and large data transfers. We will be able to
leverage the massive aggregate single precision floating point
processing capability of Amazon EC2 P2 instances to reduce
inference times for our customers, and substantially reduce the
cost of processing.”
Altair Engineering empowers innovation and decision-making
through technology that optimizes the analysis, management, and
visualization of business and engineering information. “Simulation
technology is at the core of Altair’s business and with our GPU
solver partner FluiDyna GmbH, we’ve made significant investments in
domain decomposition to optimize our computational fluid dynamics
(CFD) software, nanoFluidX, for multi-GPU scaling for increased
performance and reduced cost,” said Stephen Cosgrove, Director of
CFD, Altair. “We’re able to leverage the massive amount of
aggregate GPU memory and double precision floating point
performance in Amazon EC2 P2 instances to fit more simulations into
a single node, significantly reduce customer simulation times, and
reduce the cost of running large simulations.”
MathWorks, the leading developer of mathematical computing
software, helps millions of engineers, scientists, researchers, and
students around the world analyze and design systems and products
that are transforming the world. “MATLAB users moving their
analytics and simulation workloads onto the AWS Cloud require their
analyses to be processed quickly,” said Silvina Grad-Freilich,
Senior Product Manager, MathWorks. “The massive parallel floating
point performance of Amazon EC2 P2 instances, combined with up to
64 vCPUs and 732 GB host memory, will enable customers to realize
results faster and process larger datasets than was previously
possible.”
MapD is a GPU database for interactive SQL querying and
visualization of multi-billion record datasets. “As the leader in
GPU-powered databases and visual analytics applications, we are
deeply invested in the emergence of large, cloud-based GPU
instances and P2 is the most powerful we have seen,” said Todd
Mostak, CEO and Founder, MapD. “Our performance on Amazon EC2 P2
instances is exceptional. On a dollar-to-dollar basis across a set
of standard SQL benchmarks, MapD is 78 times faster on Amazon EC2
P2 instances than CPU-based solutions. Furthermore, these speedups
were seen over multi-billion row datasets, speaking directly to our
ability to deliver performance at scale with these instances. With
this launch, our customers can now query and visualize billions of
rows of data within milliseconds while enjoying the flexibility,
scalability and reliability they have come to expect from AWS.”
Sonus delivers intelligent and secure, cloud optimized solutions
for real time communications used by the world's leading service
providers and enterprises. “Real time communications are rapidly
evolving, and they require transcoding between formats for use on
multiple devices,” said Mykola Konrad, Vice President, Product
Management and Marketing, Sonus. “GPUs are becoming more of a
disruptor for transcoding services and they offer a cost effective
solution for scaling our Session Border Controller application in
the cloud. Because of our collaboration with AWS, Sonus has
developed the industry’s first GPU optimized session border
controller by leveraging the GPU parallel computing power and
Enhanced Networking of Amazon EC2 P2 instances, which decreases
network costs for our customers.”
Customers can launch P2 instances using the AWS Management
Console, AWS Command Line Interface (CLI), AWS SDKs, and
third-party libraries. P2 instances are available in three instance
sizes: p2.16xlarge with 16 GPUs, p2.8xlarge with 8 GPUs, and
p2.xlarge with 1 GPU. P2 instances are available in the US East (N.
Virginia), US West (Oregon), and EU (Ireland) Regions.
Amazon Machine Images (AMIs) from AWS, NVIDIA, and other sellers
are available in the AWS Marketplace to help customers get started
within minutes. The AWS Deep Learning AMI comes preinstalled with
MXNet and Caffe deep learning frameworks to enable customers to
reduce model training time from weeks to hours. It also lets them
experiment with artificial intelligence without making large
upfront capital expenditures. The AMI from NVIDIA includes
pre-installed drivers and the CUDA toolkit. It’s designed for
developers working on a range of GPU-intensive workloads.
About Amazon Web Services
For 10 years, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud platform. AWS offers over
70 fully featured services for compute, storage, databases,
analytics, mobile, Internet of Things (IoT) and enterprise
applications from 35 Availability Zones (AZs) across 13 geographic
regions in the U.S., Australia, Brazil, China, Germany, Ireland,
Japan, Korea, Singapore, and India. AWS services are trusted by
more than a million 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
http://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 information, visit
www.amazon.com/about.
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