Showing posts with label hpc server. Show all posts
TAIPEI,
Taiwan, Sept. 21 — TYAN, an industry-leading server platform design
manufacturer and subsidiary of MiTAC Computing Technology Corporation,
announces support and availability of the NVIDIA Tesla P100, P40 and P4
GPU accelerators with the new NVIDIA Pascal architecture. Incorporating
NVIDIA’s state-of-the-art technologies allows TYAN to offer the
exceptional performance and data-intensive applications features to HPC
users.
“Real-time,
intelligent applications are transforming our world, thus our customers need an
efficient compute platform to deliver responsive and cost-effective AI,” said
Danny Hsu, Vice President of MiTAC Computing Technology Corporation’s TYAN
Business Unit. “TYAN is pleased to work with NVIDIA to market FT77C-B7079 and
TA80-B7071 servers with P100, P40 and P4 to market. The TYAN NVIDIA-based
server platforms allow hyper-scale customers to deploy accurate, responsive AI
solutions, and to reduce inference latency up to 45x. The high throughput and
best in class efficiency of Pascal GPUs make it possible to process exploding
volumes of data to offer cost effective, accurate AI applications.”
“The
NVIDIA Pascal architecture is the computing engine for modern data centers.
Powered by Pascal, Tesla GPUs offer massive leaps in performance and efficiency
required by the ever increasing demand of AI applications,” said Roy Kim, Tesla
Product Lead at NVIDIA. “We’re partnering with TYAN to deliver the accelerated
solutions customers need to deploy HPC applications and AI services.”
TYAN
HPC platforms with support for NVIDIA Tesla P100, P40, P4
4U/8
GPGPU FT77C-B7079 – Support up to 2x Intel Xeon E5-2600 v3/v4 (Broadwell-EP)
processors, 24x DDR4 DIMM slots, 1x PCI-E x8 mezzanine slot for high-speed I/O
option, 10x 3.5″/2.5″ hot-swap SATA 6Gb/s HDDs/SSDs, dual-port 10GbE/GbE LOM,
and (2+1) 3,200W redundant power supplies with 80-Plus Platinum rated.
2U/4
GPGPU TA80-B7071 – Support up to 2x Intel Xeon E5-2600 v3/v4 (Broadwell-EP)
processors, 16x DDR4 DIMM slots, 1x PCI-E x8 slot for high-speed I/O option, 8x
2.5″ hot-swap SAS or SATA 6Gb/s plus 2x 2.5″ internal SATA 6Gb/s HDDs/SSDs,
dual-port 10GbE/GbE LOM, and (1+1) 1,600W redundant power supplies with 80-Plus
Platinum rated.
About
TYAN
TYAN,
a leading server brand of MiTAC Computing Technology Corporation under the
MiTAC Holdings Corporation (TSE:3706), designs, manufactures and markets advanced
x86 and x86-64 server/workstation board and system products. The products are
sold to OEMs, VARs, System Integrators and Resellers worldwide for a wide range
of applications. TYAN enable customers to be technology leaders by providing
scalable, highly-integrated and reliable products such as appliances for cloud
service providers (CSP) and high-performance computing and server/workstation
used in CAD, DCC, E&P and HPC markets. For more information, visit MiTAC
Holdings Corporation’s website at http://www.mic-holdings.com or TYAN’s website at http://www.tyan.com
A
number of coming technologies will undoubtedly change the world as we
know it. Two came to light last week while I was trying, and failing, to
enjoy an infrequent vacation. One is a power storage technology that
has high capacity and doesn’t catch fire or explode like lithium ion
batteries. The other, and far more important, is artificial intelligence
(AI), which has the potential to change our lives for the better or
worse, but dramatically either way.
An
alliance between two of the most powerful companies in this race, IBM and
NVIDIA, was announced last week around a small, intelligent, rack-mounted
server called the Power System S822LC. This was part of a three-server launch
last week and I think the implications are really interesting. NVIDIA is
naturally very excited about this.
Let’s
explore why this partnership between two powerhouses could be really
interesting.
Think
The
word that IBM has connected with itself for much of my life is “Think,” and
when it announced Watson, it put itself on a path to make that connection a
reality. But Watson, as powerful as it is, is an intellectual baby when it
comes to where the industry wants to go. Intelligent machines -- computers that
can learn, adapt, and then make decisions based on data -- represent the future
of computing and, some argue, the future of the human race.
This
makes for an impressive potential world impact and the firm, or firms, that get
this right first will likely own the next age of computing. IBM, with Watson,
got the initial lead, but Watson is expensive to buy and expensive to train.
That’s
why this isn’t a one-company effort. It can’t be; it will require a team.
NVIDIA
Now,
while IBM was working on large-scale AI, NVIDIA has been working on packaged
intelligence as a technology. Its Drive PX, CX, and DGX-1 platforms are
designed to make cars intelligent. However, DGX-1 goes well beyond this in that
it forms the basis for the learning that other platforms can use in production.
In short, you train the DGX-1 and it trains, at scale, everything else it
feeds. This is close, in concept, to being able to manufacture things
(initially cars) that come off the line with all of the knowledge they need to
operate. If we were talking people, this would be like having a kid that starts
out at birth knowing everything you know.
Now
we just need to put the parts together.
IBM
+ NVIDIA
If
we combine the two companies, we get the potential for not only a system that
is far less expensive to buy but one that is far less expensive to train. The
result may potentially be a system that is far smarter than Watson, far more
capable than the DGX-1, and able to move both companies to the next tier.
OpenPOWER
The
market is currently largely x86, and Intel dominates. Only one non-x86 platform
has the potential to address this AI opportunity near term, and that is
OpenPOWER, largely because it is backed by IBM and, unlike ARM, it is in
production for servers of this class. It is also a technology shared by a
variety of vendors, making it more attractive to customers like Google, which
is aggressive with AI and particularly favors open systems.
When
you combine IBM, NVIDIA and OpenPOWER, you get something unique and potentially
very powerful in this race to intelligent computing.
Wrapping
Up: Power of the Partnership
In
the end, the eventual success of this effort will likely be directly
attributable to how well IBM and NVIDIA partner over time. A similar
partnership between IBM, Intel and Microsoft created the PC market. If IBM and
NVIDIA can do better (that earlier partnership fell apart), then the potential
for both firms to own this next technology wave is unmatched. If not, then
we’ll just have another story about big firms failing to meet their potential.
For
now, IBM and NVIDIA have the inside track, but it’s early in the race. While
this new line of servers is a great start, as both companies know, it matters
far less who leads a race at the beginning than who leads a race at the end.
Rob
Enderle is President and Principal Analyst of the Enderle Group, a
forward-looking emerging technology advisory firm. With over 30 years’ experience in emerging
technologies, he has provided regional and global companies with guidance in
how to better target customer needs; create new business opportunities;
anticipate technology changes; select vendors and products; and present their
products in the best possible light. Rob covers the technology industry
broadly. Before founding the Enderle Group, Rob was the Senior Research Fellow
for Forrester Research and the Giga Information Group, and held senior
positions at IBM and ROLM. Follow Rob on Twitter @enderle, on Facebook and on
Google+.
Scalable Vector Extensions (SVE) technology will be used in the Post-K supercomputer being built by Fujitsu.
ARM has upped the supercomputer ante against rivals IBM, Intel and Nvidia with the announcement of Scalable Vector Extensions (SVE) technology.
ARM has upped the supercomputer ante against rivals IBM, Intel and Nvidia with the announcement of Scalable Vector Extensions (SVE) technology.
Developed
for the ARMv8-A architecture, the SVE technology is already set to be used for
the Post-K supercomputer being built by Fujitsu for the RIKEN Advanced Institute
for Computational Science in Japan.
Unveiled
at the Hot Chips conference in the US, the technology supports vectors from
128-bit to 2048-bit. Shifting the vector calculation problem from software to
hardware, SVE technology will be a scalable extension to the ARM instruction
set.
Vector
processors drove early supercomputers, but were then replaced by less expensive
IBM RISC chips in the early 1990s. In today’s high-performance servers x86
processors are used, but this could be set to shift with the industry seeing a
renewed reliance on vector processing.
The
move my ARM to introduce this alternative chip architecture is a sign of the
company’s plans to move deeper into the server, data centre and
high-performance computing (HPC) space while offering something different to
rivals.
The
new chip design could soon be running the world’s most powerful supercomputer
if the plans for the Post-K supercomputer comes to fruition. Fujitsu chose ARM
in July 2016 for the supercomputer, shifting from the 2GHz Sun Sparc64 cores
used in the K supercomputer. If the build goes smoothly, the new supercomputer
could be capable of 1,000 petaflops.
The
announcement at Hot Chips follows the recent acquisition of the UK chip maker
by Japanese company SoftBank. With the price set at $32 billion, the acquisition
hopes to sharpen ARM’s focus in the server and internet of things space.
