A turnkey , a turnkey project , or a turnkey operation (also spelled turn-key ) is a type of project that is constructed so that it can be sold to any buyer as a completed product. This is contrasted with build to order , where the constructor builds an item to the buyer's exact specifications, or when an incomplete product is sold with the assumption that the buyer would complete it.
32-462: DGX might refer to: Nvidia DGX , a series of super computer nodes MOD St Athan (IATA: DGX), a Ministry of Defence airfield connected to the RAF (British Royal Air Force) DGX, a division of Dollar General Quest Diagnostics (NYSE: DGX) A type of bullet, see .460 Weatherby Magnum A series of Yamaha portable grand pianos Topics referred to by
64-476: A "turnkey hospital" which would be building a complete medical. In manufacturing, the turnkey manufacturing contractor (the business that takes on the turnkey project) normally provide help during the initial design process, machining and tooling, quality assurance, to production, packaging and delivery. Turnkey manufacturing have advantages in saving production time, single point of contact, cost savings and price certainty and quality assurance. The term turnkey
96-419: A 72-GPU NVLink domain that acts as a single massive GPU [3] . Nvidia DGX GB200 offers 13.5 TB HBM3e of shared memory with linear scalability for giant AI models, less than its predecessor DGX GH200. The DGX Superpod is a high performance turnkey supercomputer solution provided by Nvidia using DGX hardware. This system combines DGX compute nodes with fast storage and high bandwidth networking to provide
128-408: A car being sold with powertrain (engine, transmission, etc.) to contrast with a vehicle sold without one so that other components may be re-used. Similarly, this term may be used to advertise the sale of an established business, including all the equipment necessary to run it, or by a business-to-business supplier providing complete packages for business start-up. An example would be the creation of
160-560: A compelling purchase for customers without the infrastructure to run rackmount DGX systems, which can be loud, output a lot of heat, and take up a large area. This was Nvidia's first venture into bringing high performance computing deskside, which has since remained a prominent marketing strategy for Nvidia. The successor of the Nvidia DGX-1 is the Nvidia DGX-2, which uses sixteen Volta -based V100 32 GB (second generation) cards in
192-561: A contractor is employed to plan, design and build a project or an infrastructure and do any other necessary development to make it functional or ‘ready to use’ at an agreed price and by a fixed date. In turnkey contracts, most of the time the employer provides the primary design. The contractor must follow the primary design provided by the employer. A turnkey computer system is a complete computer including hardware, operating system and application(s) designed and sold to satisfy specific business requirements. Turnkey refers to something that
224-496: A massive 10U rackmount chassis and drawing up to 10 kW under maximum load. The initial price for the DGX-2 was $ 399,000. The DGX-2 differs from other DGX models in that it contains two separate GPU daughterboards, each with eight GPUs. These boards are connected by an NVSwitch system that allows for full bandwidth communication across all GPUs in the system, without additional latency between boards. A higher performance variant of
256-744: A rackmount format featuring high-performance x86 server CPUs on the motherboard. The core feature of a DGX system is its inclusion of 4 to 8 Nvidia Tesla GPU modules, which are housed on an independent system board. These GPUs can be connected either via a version of the SXM socket or a PCIe x16 slot, facilitating flexible integration within the system architecture. To manage the substantial thermal output, DGX units are equipped with heatsinks and fans designed to maintain optimal operating temperatures. This framework makes DGX units suitable for computational tasks associated with artificial intelligence and machine learning models. DGX-1 servers feature 8 GPUs based on
288-486: A ready-made solutions and some configurations is called a turnkey website. In real estate, turnkey is defined as a home or property that is ready for occupation for its intended purpose, i.e., a home that is fully functional, needs no upgrading or repairs (move-in ready). In commercial use, a building set up to do auto repairs would be defined as turnkey if it came fully stocked with all needed machinery and tools for that particular trade. The turnkey process includes all of
320-409: A single unit. It was announced on 27 March in 2018. The DGX-2 delivers 2 Petaflops with 512 GB of shared memory for tackling massive datasets and uses NVSwitch for high-bandwidth internal communication. DGX-2 has a total of 512 GB of HBM2 memory, a total of 1.5 TB of DDR4 . Also present are eight 100 Gb/sec InfiniBand cards and 30.72 TB of SSD storage, all enclosed within
352-561: A solution to high demand machine learning workloads. The Selene Supercomputer , at the Argonne National Laboratory , is one example of a DGX SuperPod based system. Selene, built from 280 DGX A100 nodes, ranked 5th on the Top500 list for most powerful supercomputers at the time of its completion, and has continued to remain high in performance. This same integration is available to any customer with minimal effort on their behalf, and
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#1733094371058384-477: Is …. a contract where the essential design emanates from, or is supplied by, the Contractor and not the owner, so that the legal responsibility for the design, suitability and performance of the work after completion will be made to rest … with the contractor …. 'Turnkey' is treated as merely signifying the design responsibility as the contractor's. A turnkey contract is typically a construction contract under which
416-406: Is also often used in the technology industry, most commonly to describe pre-built computer "packages" in which everything needed to perform a certain type of task (e.g. audio editing) is put together by the supplier and sold as a bundle. This often includes a computer with pre-installed software, various types of hardware, and accessories. Such packages are commonly called appliances . A website with
448-416: Is different from Wikidata All article disambiguation pages All disambiguation pages Nvidia DGX The Nvidia DGX (Deep GPU Xceleration) represents a series of servers and workstations designed by Nvidia , primarily geared towards enhancing deep learning applications through the use of general-purpose computing on graphics processing units (GPGPU). These systems typically come in
480-421: Is ready for immediate use, generally used in the sale or supply of goods or services. The word is a reference to the fact that the customer, upon receiving the product, just needs to turn the ignition key to make it operational, or that the key just needs to be turned over to the customer. Turnkey is commonly used in the construction industry, for instance, in which it refers to bundling of materials and labour by
512-582: The Pascal or Volta daughter cards with 128 GB of total HBM2 memory, connected by an NVLink mesh network . The DGX-1 was announced on the 6th of April in 2016. All models are based on a dual socket configuration of Intel Xeon E5 CPUs, and are equipped with the following features. The product line is intended to bridge the gap between GPUs and AI accelerators using specific features for deep learning workloads. The initial Pascal based DGX-1 delivered 170 teraflops of half precision processing, while
544-536: The 5th fastest AI supercomputer in the world, according to TOP500 (November 2023 edition). As Nvidia does not produce any storage devices or systems, Nvidia SuperPods rely on partners to provide high performance storage. Current storage partners for Nvidia Superpods are Dell EMC , DDN , HPE , IBM , NetApp , Pavilion Data, and VAST Data . Comparison of accelerators used in DGX: Turnkey A turnkey project or contract as described by Duncan Wallace (1984)
576-473: The DGX A100s 640GB HBM2 memory. This upgrade also increases VRAM bandwidth to 3 TB/s. The DGX H100 increases the rackmount size to 8U to accommodate the 700W TDP of each H100 SXM card. The DGX H100 also has two 1.92 TB SSDs for Operating System storage, and 30.72 TB of Solid state storage for application data. One more notable addition is the presence of two Nvidia Bluefield 3 DPUs , and
608-467: The DGX Helios supercomputer features 4 DGX GH200 systems. Each is interconnected with Nvidia Quantum-2 InfiniBand networking to supercharge data throughput for training large AI models. Helios includes 1,024 H100 GPUs. Announced March 2024, GB200 NVL72 connects 36 Grace Neoverse V2 72-core CPUs and 72 B100 GPUs in a rack-scale design. The GB200 NVL72 is a liquid-cooled, rack-scale solution that boasts
640-522: The DGX Station is a tower computer that can function completely independently without typical datacenter infrastructure such as cooling, redundant power, or 19 inch racks . The DGX station was first available with the following specifications. The DGX station is water-cooled to better manage the heat of almost 1500W of total system components, this allows it to keep a noise range under 35 dB under load. This, among other features, made this system
672-528: The DGX-2, the DGX-2H, was offered as well. The DGX-2H replaced the DGX-2's dual Intel Xeon Platinum 8168's with upgraded dual Intel Xeon Platinum 8174's. This upgrade does not increase core count per system, as both CPUs are 24 cores, nor does it enable any new functions of the system, but it does increase the base frequency of the CPUs from 2.7 GHz to 3.1 GHz. Announced and released on May 14, 2020. The DGX A100
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#1733094371058704-607: The US (rentacomputer.com) and Europe (iRent IT Systems) to help reduce the costs of implementing these systems at a small scale. The DGX Station A100 comes with two different configurations of the built in A100. Announced March 22, 2022 and planned for release in Q3 2022, The DGX H100 is the 4th generation of DGX servers, built with 8 Hopper -based H100 accelerators, for a total of 32 PFLOPs of FP8 AI compute and 640 GB of HBM3 Memory, an upgrade over
736-634: The Volta-based upgrade increased this to 960 teraflops . The DGX-1 was first available in only the Pascal based configuration, with the first generation SXM socket. The later revision of the DGX-1 offered support for first generation Volta cards via the SXM-2 socket. Nvidia offered upgrade kits that allowed users with a Pascal based DGX-1 to upgrade to a Volta based DGX-1. Designed as a turnkey deskside AI supercomputer,
768-481: The design choices of the original DGX station, such as the tower orientation, single socket CPU mainboard , a new refrigerant-based cooling system, and a reduced number of accelerators compared to the corresponding rackmount DGX A100 of the same generation. The price for the DGX Station A100 320G is $ 149,000 and $ 99,000 for the 160G model, Nvidia also offers Station rental at ~$ 9000 USD per month through partners in
800-539: The first DGX server to not be built with an Intel Xeon CPU. The initial price for the DGX A100 Server was $ 199,000. As the successor to the original DGX Station, the DGX Station A100, aims to fill the same niche as the DGX station in being a quiet, efficient, turnkey cluster-in-a-box solution that can be purchased, leased, or rented by smaller companies or individuals who want to utilize machine learning. It follows many of
832-431: The home builder or general contractor to complete the home without owner involvement. The word is often used to describe a home built on the developer's land with the developer's financing ready for the customer to move in. If a contractor builds a "turnkey home" it frames the structure and finish the interior; everything is completed down to the cabinets and carpet. Turnkey is also commonly used in motorsports to describe
864-629: The new Hopper based SuperPod can scale to 32 DGX H100 nodes, for a total of 256 H100 GPUs and 64 x86 CPUs. This gives the complete SuperPod 20 TB of HBM3 memory, 70.4 TB/s of bisection bandwidth, and up to 1 ExaFLOP of FP8 AI compute. These SuperPods can then be further joined to create larger supercomputers. Eos supercomputer , designed, built, and operated by Nvidia, was constructed of 18 H100 based SuperPods, totaling 576 DGX H100 systems, 500 Quantum-2 InfiniBand switches, and 360 NVLink Switches, that allow Eos to deliver 18 EFLOPs of FP8 compute, and 9 EFLOPs of FP16 compute, making Eos
896-403: The same term [REDACTED] This disambiguation page lists articles associated with the title DGX . If an internal link led you here, you may wish to change the link to point directly to the intended article. Retrieved from " https://en.wikipedia.org/w/index.php?title=DGX&oldid=1077841818 " Category : Disambiguation pages Hidden categories: Short description
928-419: The steps involved to open a location including the site selection, negotiations, space planning, construction coordination and complete installation. "Turnkey real estate" also refers to a type of investment . This process includes the purchase, construction or rehab (of an existing site), the leasing out to tenants, and then the sale of the property to a buyer. The buyer is purchasing an investment property which
960-557: The upgrade to 400 Gb/s InfiniBand via Mellanox ConnectX-7 NICs , double the bandwidth of the DGX A100. The DGX H100 uses new 'Cedar Fever' cards, each with four ConnectX-7 400 GB/s controllers, and two cards per system. This gives the DGX H100 3.2 Tb/s of fabric bandwidth across Infiniband. The DGX H100 has two Xeon Platinum 8480C Scalable CPUs (Codenamed Sapphire Rapids ) and 2 Terabytes of System Memory . The DGX H100
992-666: Was priced at £379,000 or ~$ 482,000 USD at release. Announced May 2023, the DGX GH200 connects 32 Nvidia Hopper Superchips into a singular superchip, that consists totally of 256 H100 GPUs, 32 Grace Neoverse V2 72-core CPUs, 32 OSFT single-port ConnectX-7 VPI of with 400 Gb/s InfiniBand and 16 dual-port BlueField-3 VPI with 200 Gb/s of Mellanox [1] [2] . Nvidia DGX GH200 is designed to handle terabyte-class models for massive recommender systems, generative AI, and graph analytics, offering 19.5 TB of shared memory with linear scalability for giant AI models. Announced May 2023,
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1024-409: Was the 3rd generation of DGX server, including 8 Ampere -based A100 accelerators. Also included is 15 TB of PCIe gen 4 NVMe storage, 1 TB of RAM, and eight Mellanox -powered 200 GB/s HDR InfiniBand ConnectX-6 NICs . The DGX A100 is in a much smaller enclosure than its predecessor, the DGX-2, taking up only 6 Rack units. The DGX A100 also moved to a 64 core AMD EPYC 7742 CPU,
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