Prospects from Japan to Ecuador and Sweden are utilizing NVIDIA DGX H100 techniques like AI factories to fabricate intelligence.
They’re creating providers that provide AI-driven insights in finance, healthcare, legislation, IT and telecom — and dealing to rework their industries within the course of.
Among the many dozens of use circumstances, one goals to foretell how manufacturing unit tools will age, so tomorrow’s crops will be extra environment friendly.
Referred to as Inexperienced Physics AI, it provides info like an object’s CO2 footprint, age and power consumption to SORDI.ai, which claims to be the most important artificial dataset in manufacturing.
The dataset lets producers develop highly effective AI fashions and create digital twins that optimize the effectivity of factories and warehouses. With Inexperienced Physics AI, in addition they can optimize power and CO2 financial savings for the manufacturing unit’s merchandise and the parts that go into them.
Meet Your Good Valet
Think about a robotic that would watch you wash dishes or change the oil in your automotive, then do it for you.
Boston Dynamics AI Institute (The AI Institute), a analysis group which traces its roots to Boston Dynamics, the well-known pioneer in robotics, will use a DGX H100 to pursue that imaginative and prescient. Researchers think about dexterous cellular robots serving to individuals in factories, warehouses, catastrophe websites and finally houses.
“One factor I’ve dreamed about since I used to be in grad faculty is a robotic valet who can comply with me and do helpful duties — everybody ought to have one,” stated Al Rizzi, CTO of The AI Institute.
That can require breakthroughs in AI and robotics, one thing Rizzi has seen firsthand. As chief scientist at Boston Dynamics, he helped create robots like Spot, a quadruped that may navigate stairs and even open doorways for itself.
Initially, the DGX H100 will deal with duties in reinforcement studying, a key approach in robotics. Later, it should run AI inference jobs whereas related on to prototype bots within the lab.
“It’s a particularly high-performance pc in a comparatively compact footprint, so it supplies a simple approach for us to develop and deploy AI fashions,” stated Rizzi.
Born to Run Gen AI
You don’t should be a world-class analysis outfit or Fortune 500 firm to make use of a DGX H100. Startups are unboxing a few of the first techniques to trip the wave of generative AI.
For instance, Scissero, with workplaces in London and New York, employs a GPT-powered chatbot to make authorized processes extra environment friendly. Its Scissero GPT can draft authorized paperwork, generate studies and conduct authorized analysis.
In Germany, DeepL will use a number of DGX H100 techniques to increase providers like translation between dozens of languages it supplies for patrons, together with Nikkei, Japan’s largest publishing firm. DeepL not too long ago launched an AI writing assistant known as DeepL Write.
Right here’s to Your Well being
Most of the DGX H100 techniques will advance healthcare and enhance affected person outcomes.
In Tokyo, DGX H100s will run simulations and AI to hurry the drug discovery course of as a part of the Tokyo-1 supercomputer. Xeureka — a startup launched in November 2021 by Mitsui & Co. Ltd., one among Japan’s largest conglomerates — will handle the system.
Individually, hospitals and educational healthcare organizations in Germany, Israel and the U.S. will probably be among the many first customers of DGX H100 techniques.
Lighting Up Across the Globe
Universities from Singapore to Sweden are plugging in DGX H100 techniques for analysis throughout a variety of fields.
A DGX H100 will prepare massive language fashions for Johns Hopkins College Utilized Physics Laboratory. The KTH Royal Institute of Sweden will use one to increase its supercomputing capabilities.
Amongst different use circumstances, Japan’s CyberAgent, an web providers firm, is creating good digital advertisements and celeb avatars. Telconet, a number one telecommunications supplier in Ecuador, is constructing clever video analytics for secure cities and language providers to assist clients throughout Spanish dialects.
An Engine of AI Innovation
Every NVIDIA H100 Tensor Core GPU in a DGX H100 system supplies on common about 6x extra efficiency than prior GPUs. A DGX H100 packs eight of them, every with a Transformer Engine designed to speed up generative AI fashions.
The eight H100 GPUs join over NVIDIA NVLink to create one large GPU. Scaling doesn’t cease there: organizations can join lots of of DGX H100 nodes into an AI supercomputer utilizing the 400 Gbps ultra-low latency NVIDIA Quantum InfiniBand, twice the velocity of prior networks.
Fueled by a Full Software program Stack
DGX H100 techniques run on NVIDIA Base Command, a set for accelerating compute, storage, and community infrastructure and optimizing AI workloads.
In addition they embrace NVIDIA AI Enterprise, software program to speed up information science pipelines and streamline growth and deployment of generative AI, pc imaginative and prescient and extra.
The DGX platform presents each excessive efficiency and effectivity. DGX H100 delivers a 2x enchancment in kilowatts per petaflop over the DGX A100 technology.
NVIDIA DGX H100 techniques, DGX PODs and DGX SuperPODs can be found from NVIDIA’s world companions.
Manuvir Das, NVIDIA’s vp of enterprise computing, introduced DGX H100 techniques are transport in a chat at MIT Know-how Overview’s Future Compute occasion at this time. A hyperlink to his discuss will probably be accessible right here quickly.
