Next generations of Memory Optimized, Compute Optimized, and
High I/O instances feature latest processors, storage technologies,
and enhanced networking
F1 instances with customer-programmable FPGAs can increase
performance by as much as 30x over general-purpose CPUs; preview
starts today
Elastic GPUs for Amazon EC2 let customers attach
workstation-quality graphics acceleration to existing Amazon EC2
instances; preview starts today
Amazon Lightsail gives developers the ability to launch powerful
virtual private servers in only three clicks for a simple, low
monthly price
Today at AWS re:Invent, Amazon Web Services, Inc. (AWS), an
Amazon.com company (NASDAQ:AMZN), announced the next generation of
Amazon Elastic Compute Cloud (EC2) Memory Optimized, Compute
Optimized, and High input/output (I/O) instances, and added two new
hardware acceleration options to its range of compute services. The
new F1 instance is the cloud’s first customer-programmable,
hardware-accelerated compute instance with Field Programmable Gate
Arrays (FPGAs). Amazon EC2 Elastic GPUs allow customers to easily
attach low-cost, professional grade graphics acceleration to Amazon
EC2 instances. AWS also announced Amazon Lightsail, a new way to
get started with AWS that makes it easy to spin up powerful virtual
private servers (VPS) that have bundled storage and networking with
simple, monthly pricing. To get started with Amazon EC2, visit
https://aws.amazon.com/new/reinvent/compute/.
“With ten instance families, AWS offers customers, by far, the
broadest and deepest range of compute functionality to support an
incredibly wide range of applications. From very low cost,
burstable T2 general-purpose instances for websites and M4
instances for business applications like SAP, to our new P2
instances for machine learning and HPC applications – and
everything in between – AWS delivers the right compute option for
virtually any workload today,” said Matt Garman, Vice President,
Amazon EC2. “Most companies have many diverse applications with
varying requirements. They’ve told us having the ability to choose
the right instance for the right workload allows them to have
optimal price performance and move faster. Today, we expanded this
range of options even further by adding a way to help customers get
started quickly with Amazon Lightsail, introducing the next
generation of our Memory, Compute, and Storage Optimized instance
families, and delivering hardware acceleration with Elastic GPUs
and FPGA-enabled F1 instances.”
New Memory Optimized, Compute Optimized and High I/O
instances, and larger T2 instance sizes
Optimized to deliver the right combination of CPU, memory,
storage, and networking capacity for a wide range of applications,
the next-generation of AWS’s Memory Optimized, Compute Optimized,
and High I/O instances include the latest processors and storage
technologies. They also feature enhanced networking with AWS’s
Elastic Network Adapter (ENA), a custom network interface optimized
to deliver high Packet Per Second (PPS) performance, consistent low
latency, and low network jitter. With ENA, larger instance sizes
deliver total bandwidth above 20 Gbps, and smaller instance sizes
offer 10 Gpbs peak network throughput. And, new larger sizes of T2
burstable instances enable web applications requiring larger memory
footprints.
- Available today are two larger sizes of
T2 Burstable Performance Instances, which provide a baseline level
of CPU performance with the ability to burst to full core
performance when needed. The new t2.xlarge offers 16 GiB of memory
and 4 vCPU, and the new t2.2xlarge offers 32 GiB of memory and 8
vCPU. Customers with existing T2 workloads can now scale up to the
larger T2 sizes if desired.
- Available today, R4 instances are
designed for high performance databases, distributed memory caches,
in-memory analytics, genome assembly and analysis, and other
enterprise applications. They feature a larger L3 cache that is
twice the size of the previous generation (R3), a new 16xlarge size
that offers twice the memory as the previous generation with 488
GiB of fast, DDR4 memory, and 64 vCPUs (two times as many as the
largest R3) – all for 20 percent less per GiB of RAM than the
previous generation R3 instances.
- Coming in early 2017, C5 instances
include the next generation of the Intel Xeon Processor family
(code named Skylake) with AVX 512 and up to 72 vCPUs (twice that of
previous generation C4 compute-optimized instances), and 144 GiB of
memory, making them the best price to compute performance of any
Amazon EC2 instance. C5 instances also feature new AWS hardware
acceleration that delivers three times the Amazon EBS bandwidth of
C4 instances for workloads that require high amounts of IOPs. C5
instances are ideal for batch processing, distributed analytics,
high performance science and engineering applications, ad serving,
massively multiplayer online (MMO) gaming, and video encoding.
- Coming in early 2017, I3 instances are
ideal for the most demanding I/O-intensive relational databases,
NoSQL databases, transactional systems, and analytics workloads. I3
instances feature twice the memory and vCPUs as the previous
generation high I/O instance family (I2), and over two times the
storage as the previous generation with 15.2 TB of fast, low
latency locally attached storage backed by Non Volatile Memory
Express (NVMe)-based SSDs. Additionally, I3 instances deliver up to
nine times the IOPs as the previous generation with 3.3 million
random IOPS at 4 KB block size, and offer total I/O throughput of
16 GiB per second.
F1 instances – custom FPGA hardware acceleration for
all
A growing set of applications such as genomics research,
financial analysis, and video processing push the boundaries of
what customers can do with a CPU. For these applications,
developers can program acceleration algorithms that are
custom-tailored for their specific workloads directly into silicon
by using FPGAs. Until now, this type of custom hardware
acceleration has been prohibitively expensive, time consuming, and
limited to those who work at companies that can afford the
significant fixed cost at scale. The new Amazon EC2 F1 instance is
the first cloud instance with programmable hardware for FPGA
application acceleration. Customers can program their own FPGAs to
increase performance by as much as 30x over general-purpose CPUs.
The F1 instance FPGA Developer AMI and Hardware Developer Kit
include everything a developer needs to develop, simulate, debug,
and compile hardware acceleration code. Once the FPGA design is
complete, developers can save it as an Amazon FPGA Image (AFI) and
deploy it to an F1 instance with just a few clicks. Developers can
also bring their own FPGA designs, or go to the AWS Marketplace to
find pre-built AFIs that include common hardware accelerations.
FPGAs are connected to F1 instances through a dedicated, isolated
network fabric and are not shared across instances, users, or
accounts, making them fast and secure.
Maxeler's Multiscale Dataflow Computing (MDC) technology
delivers the next generation of algorithms at a cost comparable to
lower fidelity approaches. “Maxeler helps our clients leverage our
dataflow computing infrastructure to rapidly create application
accelerators running on FPGAs. In the dataflow approach to
processing, pipelines of tasks exploit temporal and spatial
parallelism, offering dramatic performance improvements,” said
Oskar Mencer, Chief Executive Officer, Maxeler Technologies. “With
a strong research division and many Dataflow applications developed
using our tools, the time and expense of deploying hardware
appliances on-premises becomes the bottleneck. With Amazon FPGA
Images and F1 instances integrated into the AWS Marketplace, we can
now publish our Dataflow applications to over a million AWS
customers who can deploy them with one click. This
substantially simplifies bringing new innovations to market and
enables us to focus on new algorithms and supporting
customers.”
NGCodec is a provider of video compression technology. “Cloud
video encoding is exploding, but traditional software approaches
need massive CPU resources and cannot deliver the video quality and
latency necessitated by new applications. We have developed a next
generation video encoder that, using FPGA hardware acceleration,
offers low latency and low cost while maximizing video quality to
keep up with today’s broadcasting standards,” said Oliver
Gunasekara, Chief Executive Officer and co-founder, NGCodec. “AWS
is the first cloud provider to add FPGA instances, which provide
massive acceleration. In just three weeks, we ported our
RealityCodec™ H.265/HEVC encoder to the new F1 instance type to
enable AWS Cloud customers to leverage the benefits of higher video
quality, lower latency, and lower cost for live H.265/HEVC video
encoding. Updating our install base globally will be as simple as
publishing a new Amazon FPGA image and re-launching F1
instances.”
CME Group is one of the world's leading derivatives marketplace
offering risk management solutions, including futures and options,
equity indexes, foreign exchange, energy, agricultural products,
and metals. “Large-scale financial clearing risk management is
essential to delivering value for our customers,” said Kevin
Kometer, Chief Information officer, Chief Information Officer, CME
Group. “CME Group has long been an innovator in the use of
accelerated computing, for the clearning risk management of
increasingly complex instruments, including extensive research into
FPGAs. Amazon EC2 F1 instances will allow us to substantially
accelerate rate of innovation of risk analysis for our customers,
while delivering greater cost efficiency relative to using
traditional IT infrastructure.”
Elastic GPUs – high performance graphics acceleration for
Amazon EC2 Instances
Amazon EC2 provides two families of GPU-based instances today:
G2 instances for graphics-intensive applications like 3D
application streaming, video encoding, and other server-side
graphics workloads, and P2 instances for general-purpose GPU
compute applications like machine learning, high performance
databases, and other server-side workloads requiring massive
parallel floating point processing power. While these instances are
very popular, there are times when customers need a small amount of
GPU for graphics acceleration, or have applications that could
benefit from some GPU, but also require high amounts of compute,
memory, or storage, making them less suited to the G2 or P2
instances. Elastic GPUs is a new Amazon EC2 feature that provides
flexible, workstation-quality GPUs that customers can attach to
existing Amazon EC2 instance types in much the same way as
customers can attach Amazon EBS volumes. With Amazon Elastic GPUs,
customers can configure the right amount of graphics acceleration
for their particular workload without being constrained by fixed
hardware configurations and limited GPU selection. Amazon Elastic
GPUs are planned to support OpenGL and offer up to 8 GiB of GPU
memory, making them ideally suited for any workload that needs
additional GPUs such as gaming, industrial design, HPC
visualization, 3D modeling, rendering, or virtual desktops.
ANSYS is a global leader in engineering simulation. “ANSYS
Enterprise Cloud delivers a virtual simulation data center
optimized for AWS. It delivers a rich interactive graphics
experience critical to supporting the end-to-end engineering
simulation processes that allow our customers to
deliver innovative product designs. With Amazon EC2 Elastic
GPUs, ANSYS will be able to more easily deliver this
experience right-sized to the price and performance needs of our
customers,” said Ray Milhem, Vice President, Enterprise Solutions
& Cloud, ANSYS, Inc. “We are certifying ANSYS applications to
run on Elastic GPUs to enable our customers to innovate more
efficiently on the cloud.”
Siemens PLM Software is a world-leading provider of product
lifecycle management and manufacturing operations management
software. “Amazon EC2 Elastic GPUs is a game-changer for Computer
Aided Design (CAD) in the cloud,” said Bob Haubrock, Vice
President, NX Product Management, Siemens PLM. “With Elastic GPUs,
our customers can now run Siemens PLM NX on Amazon EC2 with
professional-grade graphics, and take advantage of the flexibility,
security, and global scale that AWS provides. Siemens PLM is
excited to certify NX on the Amazon EC2 Elastic GPUs platform to
help our customers push the boundaries of design and engineering
innovation.”
Amazon Lightsail – Powerful VPS made easy, starting at $5 per
month
Sometimes, developers just want a server in the cloud to deploy
their code or run their software, and Amazon Lightsail provides the
easiest way for them to launch a VPS with just a few clicks. Amazon
Lightsail includes everything customers need for projects such as
web sites, blogs, custom applications, or development servers.
Customers can get started with just three clicks; they simply
choose a virtual private server image from a menu of over 10 images
that includes Linux, WordPress, Drupal, and others, and select one
of five server sizes. Amazon Lightsail automatically launches the
VPS, attaches the SSD-based storage, sets up the security groups,
creates a Virtual Private Cloud (VPC), and then makes it simple for
developers to set up the DNS and IP addresses. With Amazon
Lightsail, customers can use preconfigured operating system
templates or pre-installed popular application setups. Amazon
Lightsail runs on the AWS Cloud, making it easy for customers to
connect to the more advanced services when they are ready. Amazon
Lightsail is available immediately, and customers pay a simple
monthly fee for each virtual private server, starting at $5 per
month.
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 38 Availability Zones (AZs) across 14 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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