Artificial intelligence is often overhyped in the media as a magic panacea that will solve all of our day-to-day problems while taking all of our jobs away – or become sentient and lead a robot uprising. But for any business leader attending Nvidia GTC yesterday, the future of AI in a business will hinge on reassessing how the technology can help solve an operational problem or accelerate a company’s efficiency performance. or more systems.
The creation and deployment of a wide range of applications can best be achieved through digital innovations, with AI being the leader among these. And so it was that much of the Nvidia GTC developer conference involved AI and the metaverse (the evolving three-dimensional internet that is poised to significantly impact not just industries, but even on society at large, as consumers become more familiar with virtualized worlds.
A new AI platform
There were a lot of announcements and reveals during the conference (which ends tomorrow), but the metaverse and AI played a central role in many of them. Nvidia has unveiled a number of updates for its DGX ecosystem of full-stack AI infrastructure development tools, including revealing the latest Nvidia DGX H100 AI platform for enterprises.
Built with 80 billion transistors and a host of advancements, the DGX H100 delivers up to nine times the performance when colocated in Nvidia DGX-enabled data centers and networking capabilities twice as fast as its predecessor, thanks to the supercharged AI performance of the NVIDIA H100 Tensor Core GPU. With the Nvidia Hopper AI architecture and powerful new Transformer Engine, H100 will enable enterprises to dramatically reduce the cost of delivering AI applications, while delivering the same level of AI performance as AI pioneers. companies expect Nvidia DGX systems and software.
That means three and a half times more energy efficient, but with three times lower overhead and using up to five times fewer server nodes than the previous generation. H100-enabled systems are expected to power the next generation of high-performance computing (HPC), and more than 50 server models from major vendors including Cisco, Dell, Hewlett Packard Enterprises, Fujitsu, and Lenovo are expected to flood the market before the end of the year.
Preview on LaunchPad
To support the outsized workloads and huge natural language processing models demanded by a variety of industries – from biotech to customer service, with AI enabling things like chatbots and pushing the boundaries of discovery new drugs – Nvidia Base Command and Nvidia AI Enterprise software are built into every DGX system, enabling deployments for all kinds of data center computing, from a single node all the way up to an Nvidia DGX SuperPOD.
But for companies that just can’t wait until the end of the year, Nvidia has revealed that H100 on Dell PowerEdge servers is now available on Nvidia’s LaunchPad platform, along with free training and hands-on tutorials. on the latest features and capabilities of the latest generation of the architecture. Organizations will be able to access compatible hardware and the latest Nvidia AI software.
NVIDIA also expanded its partnership with Deloitte in the area of enterprise development. Source: Nvidia
Nvidia also announced the expansion of its partnership with Deloitte at GTC, to provide Deloitte professional staff with access to the Nvidia AI and NVIDIA Omniverse™ Enterprise platforms, combining the Nvidia product ecosystem with Deloitte’s specialization to help its customers to innovate. Types of AI deployments that can be strengthened include edge and speech AI systems, recommendation engines, conversational AI, digital pairing, and cybersecurity applications.
Development of cloud solutions
The collaboration aims to develop and implement hybrid cloud solutions with Nvidia AI hardware and software, including DGX systems, to innovate both at the Deloitte Center for AI Computing, where the development of AI solutions for Deloitte’s clients can be hosted and accelerated, and Deloitte’s Unlimited Reality Services where 3D open-world design collaboration and simulation (including the creation of immersive 3D replicas of real environments so businesses can make decisions informed to optimize space operations) can be given due attention.
A number of other integrated Nvidia product lines help extend the capabilities of the NVIDIA AI and Omniverse platforms, making them more accessible, capable, and scalable to meet rapidly growing and rapidly digitizing organizational needs.
