NVIDIA has launched the DGX Cloud, an AI supercomputing service that gives enterprises instant access to infrastructure and software for training advanced models for generative AI and other groundbreaking applications. The service provides dedicated clusters of NVIDIA DGX AI supercomputing paired with NVIDIA AI software, allowing every enterprise to access its own AI supercomputer through a web browser without the complexity of acquiring, deploying and managing on-premises infrastructure. The service ensures that enterprises can quickly and easily scale the development of large, multi-node training workloads. NVIDIA is partnering with leading cloud service providers to host DGX Cloud infrastructure, starting with Oracle Cloud Infrastructure, followed by Microsoft Azure next quarter, and Google Cloud in the near future. The DGX Cloud also features support from NVIDIA experts throughout the AI development pipeline, and customers can work directly with NVIDIA engineers to optimize their models and quickly resolve development challenges across a broad range of industry use cases.
NVIDIA Launches DGX Cloud: Bringing AI Supercomputing to Every Enterprise through a Simple Web Browser
NVIDIA has recently launched a new AI supercomputing service called NVIDIA DGX Cloud, providing immediate access to infrastructure and software necessary for training advanced models for generative AI and other cutting-edge applications. The service consists of dedicated clusters of NVIDIA DGX AI supercomputing and NVIDIA AI software, enabling enterprises to access their own AI supercomputer through a simple web browser.
DGX Cloud eliminates the need for companies to acquire, deploy, and manage on-premises infrastructure. With DGX Cloud, companies can rent clusters on a monthly basis, allowing them to quickly scale the development of large, multinode training workloads without having to wait for accelerated computing resources that are often in high demand.
NVIDIA has partnered with leading cloud service providers, starting with Oracle Cloud Infrastructure, to host DGX Cloud infrastructure. Oracle’s RDMA Supercluster, bare metal compute, and high-performance local and block storage provide a purpose-built RDMA network that can scale to superclusters of over 32,000 GPUs. Microsoft Azure is expected to host DGX Cloud next quarter, and the service will soon expand to Google Cloud and others.
DGX Cloud has already attracted the attention of industry giants, such as Amgen, CCC Intelligent Solutions, and ServiceNow, among others. These companies are among the first AI pioneers using DGX Cloud. Amgen is using DGX Cloud with NVIDIA BioNeMo large language model software to accelerate drug discovery, while CCC Intelligent Solutions and ServiceNow are utilizing NVIDIA AI Enterprise software, including NVIDIA RAPIDS data science acceleration libraries.
According to Jensen Huang, founder and CEO of NVIDIA, “We are at the iPhone moment of AI. Startups are racing to build disruptive products and business models, and incumbents are looking to respond. DGX Cloud gives customers instant access to NVIDIA AI supercomputing in global-scale clouds.” By offering instant access to AI supercomputing in the cloud, DGX Cloud empowers enterprises to rapidly develop and deploy AI solutions, creating a more efficient and streamlined process.
NVIDIA DGX Cloud: Empowering AI Research and Development with Instant Access to AI Supercomputing
NVIDIA has launched a new AI supercomputing service called NVIDIA DGX Cloud, enabling enterprises to instantly access infrastructure and software necessary for training advanced models for generative AI and other breakthrough applications. DGX Cloud provides dedicated clusters of NVIDIA DGX AI supercomputing, paired with NVIDIA AI software, allowing companies to access their own AI supercomputer using a simple web browser.
Powerful Computing Capabilities of DGX Cloud
DGX Cloud has attracted the attention of industry giants, including Amgen, CCC Intelligent Solutions, and ServiceNow, among others. Amgen is using DGX Cloud with NVIDIA BioNeMo large language model software to accelerate drug discovery. CCC Intelligent Solutions is using DGX Cloud to speed and scale the development and training of its AI models, which power the company’s innovative auto claims resolution solutions. ServiceNow is using DGX Cloud for flexible, scalable hybrid-cloud AI supercomputing to power its AI research on large language models, code generation, and casual analysis.
NVIDIA DGX Cloud and BioNeMo
According to Peter Grandsard, executive director of Research, Biologics Therapeutic Discovery, Center for Research Acceleration by Digital Innovation at Amgen, “With NVIDIA DGX Cloud and NVIDIA BioNeMo, our researchers are able to focus on deeper biology instead of having to deal with AI infrastructure and set up ML engineering.” The powerful computing and multinode capabilities of DGX Cloud have enabled Amgen to achieve 3x faster training of protein LLMs with BioNeMo and up to 100x faster post-training analysis with NVIDIA RAPIDS relative to alternative platforms.
Base Command Platform and NVIDIA AI Enterprise
Enterprises manage and monitor DGX Cloud training workloads using NVIDIA Base Command Platform software, providing a seamless user experience across DGX Cloud and on-premises NVIDIA DGX supercomputers. Customers can match their workloads to the right amount and type of DGX infrastructure needed for each job. DGX Cloud includes NVIDIA AI Enterprise, the software layer of the NVIDIA AI platform, which provides end-to-end AI frameworks and pretrained models to accelerate data science pipelines and streamline the development and deployment of production AI.
New pretrained models, optimized frameworks, and accelerated data science software libraries available in NVIDIA AI Enterprise 3.1 give developers an additional jump-start to their AI projects. With DGX Cloud and NVIDIA AI Enterprise, enterprises can rapidly develop and deploy AI solutions, creating a more efficient and streamlined process.
NVIDIA DGX Cloud: The AI Supercomputing Solution for Organizations
NVIDIA DGX Cloud provides a complete solution for AI supercomputing, featuring dedicated clusters of NVIDIA DGX AI supercomputing paired with NVIDIA AI software. Each instance of DGX Cloud features eight NVIDIA H100 or A100 80GB Tensor Core GPUs, providing a total of 640GB of GPU memory per node. High-performance storage is integrated into DGX Cloud, and a high-performance, low-latency fabric built with NVIDIA Networking ensures workloads can scale across clusters of interconnected systems.
DGX Cloud offers support from NVIDIA experts throughout the AI development pipeline, allowing customers to work directly with NVIDIA engineers to optimize their models and resolve development challenges.
Availability and Pricing
DGX Cloud instances start at $36,999 per instance per month, and organizations can contact their NPN partner for additional details.
About NVIDIA
NVIDIA, a pioneer in accelerated computing since its founding in 1993, has reshaped the industry with data-center-scale offerings that redefine computer graphics, fuel modern AI, and create the metaverse.
NVIDIA Provides AI Supercomputing Solutions with DGX Cloud and Related Technologies
NVIDIA announced the launch of NVIDIA DGX Cloud, an AI supercomputing service that provides enterprises with instant access to the infrastructure and software necessary to train advanced models for generative AI and other groundbreaking applications. The service offers dedicated clusters of NVIDIA DGX AI supercomputing paired with NVIDIA AI software, allowing every enterprise to access its own AI supercomputer using a simple web browser. DGX Cloud clusters can be rented on a monthly basis, allowing for scalable development of large, multinode training workloads without having to wait for accelerated computing resources that are often in high demand.
DGX Cloud instances come equipped with eight NVIDIA H100 or A100 80GB Tensor Core GPUs, providing a total of 640GB of GPU memory per node. High-performance storage is integrated into DGX Cloud, and a high-performance, low-latency fabric built with NVIDIA Networking ensures workloads can scale across clusters of interconnected systems. NVIDIA also provides support from experts throughout the AI development pipeline.
Industry titans such as Amgen, CCC Intelligent Solutions, and ServiceNow are among the first to adopt DGX Cloud, with applications ranging from drug discovery to auto claims resolution solutions. DGX Cloud has been hosted by leading cloud service providers such as Oracle Cloud Infrastructure (OCI) and is expected to be available on Microsoft Azure next quarter, with plans to expand to Google Cloud and more.
DGX Cloud instances start at $36,999 per instance per month, and organizations can contact their NPN partner for additional details.
NVIDIA is a pioneer in accelerated computing and has reshaped the industry with data-center-scale offerings that redefine computer graphics, fuel modern AI, and create the metaverse. NVIDIA’s AI technologies, such as NVIDIA BioNeMo, NVIDIA AI Enterprise, NVIDIA RAPIDS, and NVIDIA Base Command, offer end-to-end AI frameworks and pretrained models to accelerate data science pipelines and streamline the development and deployment of production AI. These technologies have been used by various third-party organizations to accelerate their AI projects and optimize their models.
While NVIDIA provides forward-looking statements, it also acknowledges the risks and uncertainties that could cause actual results to differ materially from expectations. Copies of reports filed with the SEC are available from NVIDIA without charge.
NVIDIA trademarks include NVIDIA, BioNeMo, DGX, DGX Cloud, NVIDIA Base Command, and RAPIDS.
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