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since their remaining HP buyer's e book, the company has persevered to extend the HP ProLiant server line throughout each and every classes of servers, together with rack, tower, blade and scale-out strains. In September 2010, HP (NYSE: HPQ) brought the first ProLiant MicroServer, a value-beneficial starter server aimed at small groups with fewer than 10 valued clientele.
HP's customary ProLiant line spans the plenary orbit of server configuration factors, from microserver to rack, tower, and blade to its scale-out traces. find out what's new in these five categories.
That was followed in October with the HP ProLiant SL servers, which included the HP ProLiant SL390s G7 and the HP ProLiant SL170s G6 servers, in addition to four greater SL servers -- the HP ProLiant SL160s G6, HP ProLiant SL165s G7, HP ProLiant SL335s G7 and HP ProLiant SL390s G7 server -- in March.
"These new servers allow HP to present thrice extra multi-node options than rivals," spoke of Andy Bauman, community supervisor, ISS ProLiant Servers at HP.
In April 2011, HP stronger its HP ProLiant line with four updated servers in keeping with the Xeon E7-8800/4800/2800 product families -- the ProLiant BL680c G7 and DL580 G7 servers in accordance with the Xeon E7-4800 processors, and the ProLiant BL620c G7 and DL980 G7 servers in response to the Xeon E7-2800 and E7-4800.
Most recently, the industry delivered to its SMB portfolio with the HP ProLiant ML110 G7 and DL120 G7 servers.
"The HP ProLiant ML110 G7 is a server offered at a desktop rate for transforming into businesses that Have constrained on-web site IT guide," pointed out Bauman. "effortless to set-up and manage, it offers an inexpensive and purposeful solution to small/medium corporations."
The ML110 G7 comes with one Xeon E3, Intel Core i3 or Pentium processor and up to sixteen GB RAM. It has a dawn fee of $709.
The HP ProLiant DL120 G7 rack-optimized server is centered at web and part-of-community SMB purposes. It has the identical specs as these listed above for the ML a hundred G7, with a starting expense of $895.
Bauman said the DL120 G7 competes towards Dell PowerEdge R210 II servers.
"With extra complicated drives and twice the storage and i/O of the PowerEdge R210 II, the ProLiant DL120 can likewise subsist configured for varying application demands," he observed.
For any one puzzled about HP server names or trying to examine which server would healthy most suitable for a specific function, the 1st step is understanding the OEM's five primary classes.1. HP ProLiant ML Tower Servers
These HP ProLiant ML servers are top-rated for faraway and arm offices in necessity of networking, file-and-print, and shared cyber web access, in addition to numerous inside storage.
"ML a hundred sequence servers are impeccable for SMB environments, single-tier architectures and different environments working smooth purposes, whereas the ML 300 collection servers can aid corporate arm places of drudgery and environments starting from facts facilities, company drudgery companies to essential far off websites," notable Bauman.
The particular person servers on present are:
considering that their ultimate guide, the ML115 has been end-of-lifed.2. HP ProLiant DL Rack Mount Servers
DL servers drudgery top of the line for agencies in necessity of electronic mail, networking, virtualization and messaging. They pack a first-rate quantity of computing punch in a small footprint.
Bauman laid out some buying tips for the latitude as a whole: DL a hundred sequence servers are well-ideal for SMBs, immoderate performance computing (HPC) environments and single-tier architectures; DL 300 servers are for enterprise data centers and knotty SMB environments; DL 500 collection servers are for compute-intensive and mission-crucial purposes; DL 700 sequence can likewise subsist deployed for gigantic virtualization and consolidation environments; and the DL 900 sequence is for statistics-intensive enterprise workloads, including industry processing and determination aid.
end-of-lifed servers are the DL585 G6, DL385 G6, DL380 G6, DL360 G6, DL160se G6, DL165 G6, DL580 G5, DL585 G5, DL785 G5 and DL170h G6.3. HP ProLiant BL Blade Servers
BL server blades are a section of HP BladeSystem. Krista Satterthwaite, neighborhood manager, HP BladeSystem Servers, mentioned they're commandeer to data facilities and exhaust with exterior storage.
The BL200 sequence, for example, is designed for scale-out in addition to HPC customers, supporting compute cluster applications and operating systems. The BL400 sequence is basically deployed in information centers that race infrastructure, database and virtualized environments. The BL600 sequence is centered at enterprise information headquarters deploying many virtual machines to address mountainous consolidation tasks and worrying workloads.
conclusion-of-lifed servers are the BL460c G6, BL465c G5, BL465c G7, BL495c G5, BL490c G6, BL495c G6, BL2x220c G6, BL 685c G6 and BL680c G5.4. HP ProLiant SL Scalable tackle Servers
The SL line is goal-developed for top performance computing, hosting and internet features. The servers deliver smooth means at huge scale, as lined in their HP ProLiant Scalable gadget buyer's ebook published in April.HP ProLiant MicroServer
The final class is the HP MicroServer. These servers are squarely aimed at companies with fewer than 10 clients, as lined past listed here.
Drew Robb is a shrink writer that specialize in technology and engineering. currently dwelling in California, he is in the dawn from Scotland, where he got a flat in geology and geography from the school of Strathclyde. he's the author of Server Disk management in a windows ambiance (CRC Press).
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HP introduced the new HP ProLiant G6 server line, which gives you double the efficiency of outdated generations.
The HP ProLiant G6 line’s advances in energy effectivity, virtualization and automation are mixed with comprehensive financing courses and service choices. the brand new HP ProLiant G6 servers are available in eleven requirements-based tower, rack and blade structures.
HP ProLiant G6 includes many energy-saving elements, reminiscent of:
The HP ProLiant G6 platform offers a collection of embedded technologies and flexible equipment:
The HP ProLiant G6 platform, according to Intel Xeon 5500 processors, comprises the HP ProLiant DL380, DL370, DL360, DL180 and DL160 rack-optimized servers; the HP ProLiant BL 490c, BL 460c and BL 280c server blades; and the HP ProLiant ML370, ML350 and ML150 tower servers.
starting expenditures for HP ProLiant G6 servers latitude from $999 to $2,one hundred and five and orbit in keeping with specific configurations.
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Since their final HP buyer's guide, the company has continued to expand the HP ProLiant server line across each and every categories of servers, including rack, tower, blade and scale-out lines. In September 2010, HP (NYSE: HPQ) introduced the first ProLiant MicroServer, a cost-effective starter server aimed at small businesses with fewer than 10 clients.
HP's approved ProLiant line spans the plenary orbit of server configuration factors, from microserver to rack, tower, and blade to its scale-out lines. Find out what's new in these five categories.
That was followed in October with the HP ProLiant SL servers, which included the HP ProLiant SL390s G7 and the HP ProLiant SL170s G6 servers, as well as four more SL servers -- the HP ProLiant SL160s G6, HP ProLiant SL165s G7, HP ProLiant SL335s G7 and HP ProLiant SL390s G7 server -- in March.
"These new servers enable HP to present three times more multi-node solutions than competitors," said Andy Bauman, group manager, ISS ProLiant Servers at HP.
In April 2011, HP enhanced its HP ProLiant line with four updated servers based on the Xeon E7-8800/4800/2800 product families -- the ProLiant BL680c G7 and DL580 G7 servers based on the Xeon E7-4800 processors, and the ProLiant BL620c G7 and DL980 G7 servers based on the Xeon E7-2800 and E7-4800.
Most recently, the company added to its SMB portfolio with the HP ProLiant ML110 G7 and DL120 G7 servers.
"The HP ProLiant ML110 G7 is a server offered at a desktop expense for growing businesses that Have limited on-site IT support," said Bauman. "Easy to set-up and manage, it provides an affordable and functional solution to small/medium businesses."
The ML110 G7 comes with one Xeon E3, Intel Core i3 or Pentium processor and up to 16 GB RAM. It has a starting expense of $709.
The HP ProLiant DL120 G7 rack-optimized server is targeted at web and edge-of-network SMB applications. It has the selfsame specs as those listed above for the ML 100 G7, with a starting expense of $895.
Bauman said the DL120 G7 competes against Dell PowerEdge R210 II servers.
"With more hard drives and twice the storage and I/O of the PowerEdge R210 II, the ProLiant DL120 can subsist configured for varying application demands," he said.
For anyone confused about HP server names or trying to determine which server would fit best for a specific function, the first step is understanding the OEM's five basic categories.1. HP ProLiant ML Tower Servers
These HP ProLiant ML servers are best for remote and arm offices in necessity of networking, file-and-print, and shared Internet access, as well as plenty of internal storage.
"ML 100 sequence servers are suited for SMB environments, single-tier architectures and other environments running light applications, whereas the ML 300 sequence servers can champion corporate arm offices and environments ranging from data centers, corporate drudgery groups to critical remote sites," said Bauman.
The individual servers on present are:
Since their final guide, the ML115 has been end-of-lifed.2. HP ProLiant DL Rack Mount Servers
DL servers drudgery best for businesses in necessity of email, networking, virtualization and messaging. They pack a first-rate amount of computing power in a small footprint.
Bauman laid out some buying tips for the orbit as a whole: DL 100 sequence servers are well-suited for SMBs, lofty performance computing (HPC) environments and single-tier architectures; DL 300 servers are for enterprise data centers and sophisticated SMB environments; DL 500 sequence servers are for compute-intensive and mission-critical applications; DL 700 sequence can subsist deployed for large virtualization and consolidation environments; and the DL 900 sequence is for data-intensive enterprise workloads, including industry processing and conclusion support.
End-of-lifed servers are the DL585 G6, DL385 G6, DL380 G6, DL360 G6, DL160se G6, DL165 G6, DL580 G5, DL585 G5, DL785 G5 and DL170h G6.3. HP ProLiant BL Blade Servers
BL server blades are section of HP BladeSystem. Krista Satterthwaite, group manager, HP BladeSystem Servers, said they are suited to data centers and exhaust with external storage.
The BL200 series, for example, is designed for scale-out as well as HPC customers, supporting compute cluster applications and operating systems. The BL400 sequence is primarily deployed in data centers that race infrastructure, database and virtualized environments. The BL600 sequence is targeted at enterprise data headquarters deploying many virtual machines to handle large consolidation projects and demanding workloads.
End-of-lifed servers are the BL460c G6, BL465c G5, BL465c G7, BL495c G5, BL490c G6, BL495c G6, BL2x220c G6, BL 685c G6 and BL680c G5.4. HP ProLiant SL Scalable System Servers
The SL line is purpose-built for lofty performance computing, hosting and web services. The servers provide smooth capacity at massive scale, as covered in their HP ProLiant Scalable System Buyer's pilot published in April.HP ProLiant MicroServer
The final category is the HP MicroServer. These servers are squarely aimed at businesses with fewer than 10 clients, as covered earlier in this article.
Drew Robb is a freelance writer specializing in technology and engineering. Currently animated in California, he is originally from Scotland, where he received a degree in geology and geography from the University of Strathclyde. He is the author of Server Disk Management in a Windows Environment (CRC Press).
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Hewlett-Packard might Have been wrestling with a lot of issues as CEOs and their strategies approach and go, but the company's server gurus know a potentially explosive industry occasion when they survey it.
That is why HP has retain together a new hyperscale industry unit inside of its Enterprise Server, Storage, and Networking behemoth and is getting out the door first with a server cluster that makes exhaust of the EnergyCore ARM RISC server chip just announced by upstart Calxeda.
The hyperscale server exertion is known as Project Moonshot, and the first server platform to subsist created under the project is known as Redstone, after the surface-to-surface missile created for the US Army, which was used to launch America's first satellite in 1958 and Alan Shepard, the country's first astronaut, in 1961.
Moonshot, of course, refers to NASA's Apollo project to retain a man on the moon by the cease of the 1960s, and there will no doubt subsist a lot of people calling this HP's Project Moneyshot, referring to something just a bit different. But HP's goal with Project Moonshot is larger than just making some money peddling alternatives to x86 chips for cranky Web operators who want attain to more drudgery for less money and with less juice. So don't derive the wrong conception that Moonshot is just about ARM.
"This is an extension of, not a replacement of, their ProLiant and Integrity server lines," Paul Santeler, general manager of the hyperscale industry unit within the Industry gauge Servers and Software division at HP.
And while HP was not in a temper to talk specifics, Santeler said that Moonshot would comprise super-dense servers based on Intel low-power Xeon and Atom chips and Advanced Micro Devices low-power x86 processors as well as multiple suppliers of ARM-based server chips.
HP is not interested in locking itself into one ARM supplier any more than it can afford to depend on just Intel or AMD alone. In this world, with technical, economic, and natural disasters, you necessity to at least dual-source key components, and equally more importantly, different ARM server chip variants are going to subsist first-rate at different things.
As they Have reported elsewhere, the EnergyCore chips are one of a handful of ARM processors that Have been expressly designed for hyperscale server workloads. The ECX-1000 processors that are the first in the EnergyCore products are 32-bit chips that will approach in two-core and four-core variants.
They comprise memory, I/O, and storage controllers and an embedded Layer 2 switch fabric on the chip, which means you can just wire a 4GB DDR3 memory stick to one, slap on some I/O ports, plug these babies into a passive backplane, and you Have interconnected server nodes that retract the set of rack servers and top-of-rack switches.
The EnergyCore Fabric Switch embedded on each chip can implement a 2D torus, mesh, chunky tree, and butterfly tree topologies and scale across 4,096 sockets (each socket is a server node, since Calxeda is not doing cache coherency across sockets).
The original Calxeda reference design from final year was a 2U rack-mounted chassis that crammed 120 processors (and hence server nodes) into that metal box. With the production-grade ECX-1000 processors. Calxeda has retain together a four-node server card with four memory slots and PCI-link interconnects so it can snuggle into a passive backplane to derive power and talk to its ARM peers and execute a network.
A four-server Calxeda EnergyCard system board (click to enlarge)
To execute the Redstone, HP took a half-width, single-height ProLiant tray server and ripped out just about everything but the tray. In goes the passive backplane that the Calxeda EnergyCard, and HP can cram three rows of these ARM boards, with six per row, for a total of 72 server nodes, in a half-width 2U slot, like this:
An HP Redstone server tray crammed with Calxeda ARM servers
The trays skid into the 4U version of the ProLiant SL6500 chassis, and you can retain four of these trays in the chassis thus:
HP Redstone SL6500 chassis fully armed and risky to 32-bit parallel workloads
That gives you 288 server nodes in a 4U rack space, or 72 servers per rack unit. That's 20 per cent more server density than the alpha test machine from Calxeda could attain earlier this year with very early samples of its ARM chips.
That SL6500 chassis in the Redstone system has three pooled power supplies that can back each other up and withhold the nodes going in the even one of them goes the course of each and every flesh. The system has eight cooling fans. Each tray has four 10Gb/sec links that approach off the internal EnergyCore Fabric Switch.
All of these ports can subsist cross-connected using 10Gb/sec XAUI cables, and scaled across as many as 4,096 sockets. (By the way, 4,000 servers is pretty much the upper scalability confine of a Hadoop cluster these days.)
However, the recommended configuration at first will subsist to exhaust link the 72 four-server nodes in a separate SL6500 to each other with the integrated fabric switch, and then glue multiple SL6500s to each other using a pair of 10GE top-of-raw switches.
In effect, the SL6500 is the new rack, with an integrated top-of-rack switch, and the two external 10GE switches are akin to an end-of-row switch that usually links multiple racks to each other.
That 288 server count on the Redstone system assumes that you are going to network out to external disk arrays, but you can sacrifice some servers in the trays and plug in up to 192 solid situation disks or 96 2.5-inch disk drives into an enclosure. The SSD and disk drive cartridges plug into SATA ports on the EnergyCard and draw their power from the backplane in the tray.
The sales pitch for the Redstone systems, says Santeler, is that a half rack of Redstone machines and their external switches implementing 1,600 server nodes has 41 cables, burns 9.9 kilowatts, and costs $1.2m.
A more traditional x86-based cluster doing the selfsame amount of drudgery would only require 400 two-socket Xeon servers, but it would retract up 10 racks of space, Have 1,600 cables, singe 91 kilowatts, and cost $3.3m. The big, mountainous caveat is, of course, that you necessity a workload that can scale well on a modestly clocked (1.1GHz or 1.4GHz), four-core server chip that only thinks in 32-bits and only has 4GB of memory.
"There are a lot of customers that I Have talked to who deem 32-bit is just fine," says Santeler. The chips will probably subsist first-rate at web serving, web caching, and mountainous data chewing workloads where processing data in smaller bits is the norm, not the exception.
That said, HP doesn't seem to subsist in a mountainous precipitate to commercialize the Redstone machines, but it is getting machines out there as Calxeda is starting to attain samples – and that is about as first-rate as it can be.
The ECX-1000 chips from Calxeda are expected to sample late this year, with volume shipments in the middle of the year. HP's Redstone machines using these chips will subsist available in limited quantities for a limited number of customers in the first half of 2012.
And here's the kicker: Santeler is proverb that HP is making no commitments at this time about when it will ship as a generally available product, or even if it will. (I deem HP is just being overcautious and dramatic.)
HP is putting Redstone machines into DiscoveryLabs around the world, starting in a data headquarters in Houston, Texas, where its PC and server factory is, and will give potential customers a haphazard to upload their programs on the Redstone servers and retain them through the 32-bit ARM paces. And for now, that means doing so on Canonical Ubuntu or Red Hat Fedora Linux, which champion ARM chips and which Have been tweaked to champion the Calxeda chips.
Incidentally, HP has no plans at this time for putting ARM processors in its general purpose ProLiant DL rack, ProLiant BL blade, or ProLiant ML tower servers. ®
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NVIDIA T4-Powered Enterprise Servers
Cisco, Dell EMC, Fujitsu, Hewlett Packard Enterprise, Inspur, Lenovo and Sugon are offering NVIDIA T4 servers optimized for data science
SAN JOSE, Calif., March 18, 2019 (GLOBE NEWSWIRE) -- GPU Technology Conference — NVIDIA today announced that mainstream servers optimized to race NVIDIA’s data science acceleration software are now available from seven of the world’s largest systems manufacturers, including Cisco, Dell EMC, Fujitsu, Hewlett Packard Enterprise (HPE), Inspur, Lenovo and Sugon.
Featuring NVIDIA® T4 GPUs and fine-tuned to race NVIDIA CUDA-X AI™ acceleration libraries, the servers provide businesses a standard, highly efficient platform for data analytics and a wide orbit of other enterprise workloads.
Drawing only 70 watts of power and designed to fit into existing data headquarters infrastructures, the T4 GPU can accelerate AI training and inference, machine learning, data analytics and virtual desktops. This unique combination of capabilities has helped create a new class of enterprise servers that, through GPU acceleration, can provide businesses with greater utility and versatility.
“The rapid adoption of T4 on the world’s most approved industry servers signals the start of a new modern era in enterprise computing — one in which GPU acceleration has become standard,” said Ian Buck, vice president and general manager of Accelerated Computing at NVIDIA. “Now, with a wave of mainstream NVIDIA-powered servers optimized for data science, companies worldwide can deploy accelerated AI at a faster pace across their entire business.”
New T4 Servers Validated as NGC-ReadySystems announced today by Cisco, Dell EMC, Fujitsu, HPE, Inspur, Lenovo and Sugon are NVIDIA NGC-Ready validated, a designation reserved for servers with demonstrated talent to outstrip in a plenary orbit of accelerated workloads.
All software tested as section of the NGC-Ready validation process is available from NVIDIA NGC™, a comprehensive repository of GPU-accelerated software, pre-trained AI models, model training for data analytics, machine learning, profound learning and lofty performance computing accelerated by CUDA-X AI.
Launched in November, the NGC-Ready program features a select set of systems powered by NVIDIA GPUs with Tensor Cores that are model for a wide orbit of AI workloads.
Key NGC-Ready validated T4 servers announced today are:
Additionally, several other partners Have started the validation process for their T4 servers.
New Enterprise champion Program for NGC-Ready SystemsFurthering the value of this program, NVIDIA today launched an enterprise champion service exclusively for customers with NGC-Ready systems, including each and every NGC-Ready T4 systems as well as previously validated NVLink® and Tesla® V100-based servers and NVIDIA-powered workstations.
NVIDIA NGC champion Services give customers direct access to NVIDIA technical experts to succor ensure their NGC-Ready systems race optimally and maximize system utilization and user productivity.
NVIDIA’s champion service is available through sellers of NGC-Ready systems, with immediate availability from Cisco for its NGC-Ready validated NVIDIA V100 system, Cisco UCS C480 ML. HPE will present the service for the HPE ProLiant DL380 Gen10 server as a validated NGC-Ready NVIDIA T4 server in June. Several other original tackle manufacturers are expected to originate selling the service on their NVIDIA T4 and V100 systems in the second quarter.
New T4 Servers Certified with Leading Virtual Desktop and Application Virtualization SolutionsNVIDIA T4-equipped servers Have been certified by leading OEMs for NVIDIA virtual GPU software — NVIDIA GRID® Virtual PC (vPC) for learning workers and NVIDIA Quadro Virtual Data headquarters Workstation (vDWS) for creative and technical professionals.
With the T4, users will indulge in high-quality virtual desktop experiences on the latest generation of servers, including up to 33 percent more VDI performance than CPU-only with GRID vPC. NVIDIA likewise announced it has collaborated with leading OEMs to execute VDI easier and more affordable with multi-year discounts available for a limited time only.
Broad Industry SupportNGC-Ready systems partners“Cisco is the first OEM to resell NVIDIA NGC champion to its customers so they can accelerate their profound learning projects on Cisco’s NGC-ready UCS C480 ML M5 server, with eight NVIDIA Tesla V100 Tensor Core GPUs interconnected with NVLink. They are likewise excited to broadcast champion for the new NVIDIA T4 universal GPU on their UCS C240 M5 and C220 M5 servers, providing their users the flexibility to maximize their infrastructure exhaust for AI/ML and virtualization projects on the selfsame hardware.”— Siva Sivakumar, senior director of Data headquarters Solutions, Cisco
“Dell Technologies is focused on helping customers transform their IT while benefiting from advancements such as artificial intelligence. As the world’s leading provider of server systems, Dell EMC continues to enhance the PowerEdge server portfolio to succor their customers ultimately achieve their goals. Their nigh collaboration with NVIDIA and historical adoption of the latest GPU accelerators, including the new NVIDIA T4, play a vital role in helping their customers stay ahead of the curve in AI training and inference.”— Ravi Pendekanti, senior vice president of product management and marketing, Servers & Infrastructure Systems, Dell EMC
“Powered by NVIDIA T4 GPUs and officially validated NGC-Ready, Fujitsu Server PRIMERGY is a cutting-edge server with practicability and versatility. They believe it can satisfy various kinds of workloads desired by their customers today, such as efficient operation of virtual desktop systems, high-speed analysis of mountainous data and deployment of AI.”— Kenichi Sakai, corporate executive officer, senior vice president, head of Data headquarters Platform industry unit, Fujitsu Ltd
“We continue to deliver advanced performance, resiliency and security across their server portfolio, enabling new experiences and increased industry outcomes. By combining HPE ProLiant Gen10 servers with the new NVIDIA T4 GPUs, they are broadening accelerated computing capabilities to the mainstream. They are empowering customers to race a wide orbit of workloads like machine and profound learning, inferencing, lofty performance computing and VDI environments, from the edge to cloud.”— Bill Mannel, vice president and general manager of HPC and AI, Hewlett Packard Enterprise
“Inspur works closely with NVIDIA to withhold bringing the most powerful AI computing products to their clients in order to enable the continuous breakthroughs in their business. The new NVIDIA T4 NGC-ready GPU feature server is fine-tuned to race the NVIDIA CUDA-X AI acceleration libraries, providing a comprehensive solution and service champion for data scientists, supporting multiple AI workloads while enjoying a high-quality virtual desktop experience.”— Jun Liu, general manager of AI & HPC, Inspur
“As more enterprises originate to institute artificial intelligence into their industry operations, the necessity for dense servers equipped with versatile GPU accelerators continues to grow. Together with NVIDIA, Lenovo is providing the infrastructure necessary for customers to successfully implement AI initiatives that lead to data-driven insights and competitive advantage. The Lenovo ThinkSystem SR670 supports up to eight NVIDIA T4 GPUs in 2U, and jointly with Lenovo knowing Computing Orchestration (LiCO), provides leading economies of scale for customers on their AI journey.”— Madhu Matta, vice president and general manager of HPC/AI, Lenovo Data headquarters Group
“Thanks to the excellent performance and universal capabilities of NVIDIA T4, Sugon’s latest HPC data headquarters solutions are able to provide AI training/Inference, rendering and 3D design services simply through large-scale deployment of one separate kindhearted of GPU servers. One separate kindhearted of GPU server, which greatly reduces their deployment and maintenance costs. For this reason, they specifically adjusted their W760 server to give NVIDIA T4 the best performance platforms.”— Chaoqun Sha, senior vice president, Sugon
Ecosystem partners“NVIDIA and Kinetica Have enabled us to attain the impossible — render a high-fidelity 3D view of an oil basin using 100 billion data points at scale. The Kinetica active Analytics Platform and NVIDIA T4-powered servers bring together active analytics and artificial intelligence to deliver a radically more efficient course to develop oil fields by utilizing subsurface models generated and rendered at lofty resolution. The combined solution provides revolutionary performance at scale, accelerating the output of their data scientists and geo scientists to race GPU-accelerated models that execute spatial and economic predictions faster for the most capital-efficient recovery of resources out of the basin.”— Sanjay Paranji, CTO at Anadarko Petroleum Corporation
“Active analytics is the backbone of the data-driven Fourth Industrial Revolution. With new NVIDIA T4-powered servers, their customers Have a radically more efficient course to GPU-accelerate data workloads to withhold pace with extreme velocity from an infinite set of streaming data sources, from wearables to cars, smart devices to connected infrastructure. In short, NVIDIA and Kinetica succor companies, cities and societies manage the make-or-break shift from using data as a passive asset to glean insights into using data as an active asset that can succor them react immediately.”— Paul Appleby, CEO at Kinetica
“With the age of AI upon us, mainstream data centers are looking to adopt accelerators such as NVIDIA T4 GPUs to maximize the impact. Having a stable control plane for these new technologies is crucial, a necessity that Red Hat is helping to address by certifying server configurations that comprise NVIDIA T4 GPUs on Red Hat Enterprise Linux and Red Hat OpenShift Container Platform. This brings the scale of their OEM ally ecosystem and certification process to artificial intelligence exhaust cases across the globe.”— Stefanie Chiras, vice president and general manager of Red Hat Enterprise Linux, Red Hat
“NVIDIA and VMware Have a long history of working together to empower organizations to maximize their data headquarters resources. Businesses are looking to accelerate both VDI and machine and profound learning workloads, while maximizing their return on investment in GPU-accelerated data headquarters infrastructure. NVIDIA T4-powered servers present a solution for these organizations, along with increased flexibility, better utilization and protection of their VMware infrastructure investments.”— Susan Nash, senior vice president of Strategic Corporate Alliances, VMware
About NVIDIA NVIDIA‘s (NASDAQ: NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing. More recently, GPU profound learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. More information at http://nvidianews.nvidia.com/.
For further information, contact:Kristin BrysonPR Director of artificial Intelligence, profound Learning & Accelerated ComputingNVIDIA Corporationfirstname.lastname@example.org
Certain statements in this press release including, but not limited to, statements as to: global computer companies using NVIDIA powered servers and the availability of these servers from the world’s largest systems manufacturers; the benefits, performance, impact and abilities of NVIDIA-powered enterprise servers, T4 GPUs, the NGC-Ready program and NVIDIA NGC champion Services; T4 GPU servers being in a new class and providing greater utility and versatility; the rapid adoption of T4 in servers signaling the start of a new era in enterprise computing; access to data headquarters platforms enabling businesses to resolve their most pressing challenges and to create opportunities for customers; the companies using NVIDIA-powered servers and those that Have completed and are starting the NGC-Ready validation process; NVIDIA NGC champion Services giving customers access to experts and champion to race their systems; the timing and expected NCG-Ready systems with champion this year; T4 providing users with enjoyable experiences and performance; NVIDIA making VDI easier and more affordable; Cisco servers with NVIDIA GPUs providing users with flexibility to maximize their infrastructure for AI/ML and virtualization projects; Dell EMC enhancing its server portfolio to succor customers; NVIDIA customers helping to play a vital role in helping customers stay ahead of the curve; PRIMERGY satisfying various kinds of workloads desired by customers; HPE broadening accelerated computing capabilities to the mainstream and empowering customers to race a wide orbit of workloads; NVIDIA and Inspur bringing the most powerful AI computing products to clients and enabling the continuous breakthroughs in their business; the necessity for dense servers equipped with versatile GPU accelerators continuing to grow; NVIDIA and Lenovo providing the infrastructure for customers to implement AI initiatives and economies of scale; mainstream data centers are looking to adopt accelerators and its impact; and addressing the necessity for a stable control plans and its impact are forward-looking statements that are subject to risks and uncertainties that could cause results to subsist materially different than expectations. valuable factors that could cause actual results to differ materially include: global economic conditions; their reliance on third parties to manufacture, assemble, package and test their products; the impact of technological progress and competition; progress of new products and technologies or enhancements to their existing product and technologies; market acceptance of their products or their partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of their products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on configuration 10-K and quarterly reports on configuration 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
© 2019 NVIDIA Corporation. each and every rights reserved. NVIDIA, the NVIDIA logo, CUDA-X, NVIDIA GRID, NVIDIA NGC, NVLink, Quadro, and Tesla are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may subsist trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.
A photo accompanying this announcement is available at http://www.globenewswire.com/NewsRoom/AttachmentNg/b4132aef-12f8-4795-bea8-1c8c2de82841
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