AMD
Delivers World’s First Server GPU with Industry-Leading 32GB Memory for High
Performance Compute
Delivers World’s First Server GPU with Industry-Leading 32GB Memory for High
Performance Compute
— AMD FirePro™
S9170 Server GPU Offers Unmatched Onboard Memory to Support Large Dataset Computations
—
S9170 Server GPU Offers Unmatched Onboard Memory to Support Large Dataset Computations
—
Singapore — July 9, 2015 — AMD (NASDAQ: AMD) today announced the new
AMD FirePro™ S9170 server GPU, the world’s first and fastest 32GB single-GPU
server card for DGEMM heavy double-precision workloads1, with
support for OpenCL™ 2.0. Based on the second-generation AMD Graphics Core Next
(GCN) GPU architecture, this new addition to the AMD FirePro™ server GPU family
is capable of delivering up to 5.24 TFLOPS of peak single precision compute
performance while enabling full throughput double precision performance,
providing up to 2.62 TFLOPS of peak double precision performance.
AMD FirePro™ S9170 server GPU, the world’s first and fastest 32GB single-GPU
server card for DGEMM heavy double-precision workloads1, with
support for OpenCL™ 2.0. Based on the second-generation AMD Graphics Core Next
(GCN) GPU architecture, this new addition to the AMD FirePro™ server GPU family
is capable of delivering up to 5.24 TFLOPS of peak single precision compute
performance while enabling full throughput double precision performance,
providing up to 2.62 TFLOPS of peak double precision performance.
Designed with compute-intensive
workflows in mind, the AMD FirePro S9170 server GPU is ideal for data center
managers who oversee clusters within academic or government bodies, oil and gas
industries, or deep neural network compute cluster development.
workflows in mind, the AMD FirePro S9170 server GPU is ideal for data center
managers who oversee clusters within academic or government bodies, oil and gas
industries, or deep neural network compute cluster development.
“AMD is recognized as an HPC industry innovator as
the graphics provider with the top spot on the November 2014 Green500 List. Today the best GPU for compute
just got better with the introduction of the AMD FirePro S9170 server GPU to
complement AMD’s impressive array of server graphics offerings for high
performance compute environments,” said Sean Burke, corporate vice president and
general manager, AMD Professional Graphics group. “The AMD FirePro S9170 server GPU can
accelerate complex workloads in scientific computing, data analytics, or
seismic processing, wielding an industry-leading 32GB of memory. We designed
the new offering for supercomputers to achieve massive compute performance
while maximizing available power budgets.”
the graphics provider with the top spot on the November 2014 Green500 List. Today the best GPU for compute
just got better with the introduction of the AMD FirePro S9170 server GPU to
complement AMD’s impressive array of server graphics offerings for high
performance compute environments,” said Sean Burke, corporate vice president and
general manager, AMD Professional Graphics group. “The AMD FirePro S9170 server GPU can
accelerate complex workloads in scientific computing, data analytics, or
seismic processing, wielding an industry-leading 32GB of memory. We designed
the new offering for supercomputers to achieve massive compute performance
while maximizing available power budgets.”
“There are some HPC workloads which
require as much data as possible to stay resident on the device, and so the 32GB
of memory provided by AMD FirePro S9170, the largest available on a single GPU,
will enable the acceleration of scientific calculations that were previously
impossible,” said Simon McIntosh-Smith, head of the Microelectronics Research
Group at the University of Bristol. “For example, our new OpenCL version of the
SNAP transport code from Los Alamos National Laboratory needs to keep as much
data resident on the device as possible, and so the 32GB of memory will let us
run problems of a much more interesting size faster than ever before. The large
memory, combined with the 320GB/s memory bandwidth and double precision
floating point performance, will make the AMD FirePro S9170 server GPU a ‘killer’
solution device for many HPC applications.”
require as much data as possible to stay resident on the device, and so the 32GB
of memory provided by AMD FirePro S9170, the largest available on a single GPU,
will enable the acceleration of scientific calculations that were previously
impossible,” said Simon McIntosh-Smith, head of the Microelectronics Research
Group at the University of Bristol. “For example, our new OpenCL version of the
SNAP transport code from Los Alamos National Laboratory needs to keep as much
data resident on the device as possible, and so the 32GB of memory will let us
run problems of a much more interesting size faster than ever before. The large
memory, combined with the 320GB/s memory bandwidth and double precision
floating point performance, will make the AMD FirePro S9170 server GPU a ‘killer’
solution device for many HPC applications.”
The AMD
FirePro S9170 offers unparalleled GPU compute performance and power efficiency
with the following benefits:
FirePro S9170 offers unparalleled GPU compute performance and power efficiency
with the following benefits:
- With up to 2.62 TFLOPS of peak double precision performance, the AMD
FirePro S9170 is the fastest single-GPU server card available for DGEMM
heavy workloads, delivering up to 40% more performance than the competitive
solution; - Support for 40% better
double precision performance, while using 10% less power than the competition2; - The AMD FirePro S9170 is the industry’s first server GPU with
32GB ultra-fast GDDR5 on-board memory and features a 512-bit memory
interface for 320 GB/s of memory bandwidth; - Equipped with 32GB of GDDR5 memory, the AMD FirePro S9170 GPU can
accelerate memory-intensive applications and process larger and more
computationally complex workloads with ease; and - The AMD FirePro S9170 GPU features 33% more memory than the competitive
GPU, helping to improve overall workload speed and system responsiveness,
especially when working with large amounts of data3.
“Based on our company’s development
and integration of leading-edge high-performance solutions to support design
optimization, testing operation, simulation and maintenance of complex systems,
SILKAN can attest that the AMD FirePro S9170 server GPU is the most powerful on
the market,” said François Guérinea, chairman and CEO at SILKAN. “What makes
the difference is the amount of memory, and accordingly we have chosen the AMD
FirePro S9170 GPU with 32GB of memory as a necessity for a client’s major
project.”
and integration of leading-edge high-performance solutions to support design
optimization, testing operation, simulation and maintenance of complex systems,
SILKAN can attest that the AMD FirePro S9170 server GPU is the most powerful on
the market,” said François Guérinea, chairman and CEO at SILKAN. “What makes
the difference is the amount of memory, and accordingly we have chosen the AMD
FirePro S9170 GPU with 32GB of memory as a necessity for a client’s major
project.”
“By combining the new AMD FirePro S9170
server GPU with our G250 Series of 2U eight GPU systems, we are able to deliver
HPC servers with up to 256GB of GPU memory,” said Alex Liu, product marketing
executive of the GIGABYTE Network & Comm. Division. “This unprecedented
density of GDDR5 memory will help our customers offer very attractive machines
to industries processing large datasets.”
server GPU with our G250 Series of 2U eight GPU systems, we are able to deliver
HPC servers with up to 256GB of GPU memory,” said Alex Liu, product marketing
executive of the GIGABYTE Network & Comm. Division. “This unprecedented
density of GDDR5 memory will help our customers offer very attractive machines
to industries processing large datasets.”
“ASUS is pleased to see the AMD FirePro
S9170 server GPU complement the AMD FirePro™ S9150 server GPU, the November
2014 Green500 List-winning solution,” said Robert Chin, General Manager, ASUS
Server Business Unit. “We are seeing customers not only obtain significant
results in the HPC arena, but also achieve power efficiency for more green environments.
The arrival of the AMD FirePro S9170 server GPU sets a new milestone for the HPC
market segment. As a top Green500 List provider and one of the greenest HPC
building block providers, we’re excited to see the AMD FirePro S9170 GPU featured
in our top ASUS ESC product family to enable excellent performance matched with
significant savings in total cost of ownership.”
S9170 server GPU complement the AMD FirePro™ S9150 server GPU, the November
2014 Green500 List-winning solution,” said Robert Chin, General Manager, ASUS
Server Business Unit. “We are seeing customers not only obtain significant
results in the HPC arena, but also achieve power efficiency for more green environments.
The arrival of the AMD FirePro S9170 server GPU sets a new milestone for the HPC
market segment. As a top Green500 List provider and one of the greenest HPC
building block providers, we’re excited to see the AMD FirePro S9170 GPU featured
in our top ASUS ESC product family to enable excellent performance matched with
significant savings in total cost of ownership.”
“We have been developing a
fully-parallel computational tool based on the AMD GPU heterogeneous computing
platform and OpenCL,” said Omid Mahahadi, co-founder and director, Geomechanica
Inc. “This tool accurately captures the complex physics of massive mines plus
oil and gas fields rapidly and reliably. Thanks to the impressive 32GB of
memory of the new cards, we expect to run computations on massive data
structures containing tens of millions of data elements. The combination of
rapid double-precision operations with the large memory capacity enables
accurate, detailed, and reliable computations. A similar performance using CPUs
would likely require much higher capital and maintenance costs. Moving forward,
we plan to take advantage of the recent features of the OpenCL 2.0 open API to
further enhance the performance of our software.”
fully-parallel computational tool based on the AMD GPU heterogeneous computing
platform and OpenCL,” said Omid Mahahadi, co-founder and director, Geomechanica
Inc. “This tool accurately captures the complex physics of massive mines plus
oil and gas fields rapidly and reliably. Thanks to the impressive 32GB of
memory of the new cards, we expect to run computations on massive data
structures containing tens of millions of data elements. The combination of
rapid double-precision operations with the large memory capacity enables
accurate, detailed, and reliable computations. A similar performance using CPUs
would likely require much higher capital and maintenance costs. Moving forward,
we plan to take advantage of the recent features of the OpenCL 2.0 open API to
further enhance the performance of our software.”
To address future needs for HPC development, AMD
FirePro™ S9170 server GPU supports the latest version of OpenCL™ while ready
for the OpenMP and OpenACC developer tools with planned availability in Q3 2015.
FirePro™ S9170 server GPU supports the latest version of OpenCL™ while ready
for the OpenMP and OpenACC developer tools with planned availability in Q3 2015.
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