Editor’s Note: NVIDIA was recently named to the Acceleration Economy Top 12 AI Ecosystem Pioneers list in the No. 1 position.
Background
It’s easy to forget but software is not possible without hardware. NVIDIA makes that happen.
Founded in 1993, the company has been building cutting-edge hardware and tech infrastructure products on top of its hardware for decades. A large portion of all model training is done on NVIDIA hardware, such as the NVIDIA A100.
In the age of AI, NVIDIA has gone beyond just hardware. It has forged into software and built models tailored for its chipsets. One such product suite is NVIDIA AI Enterprise. It has set up partnerships to help bring innovative solutions to market, like the recent one with Hugging Face and ServiceNow and, in 2023, with Snowflake.
Its offerings work well with the other species in the ecosystem, bringing infrastructural needs for AI implementations. Today’s AI ecosystem would not exist without the contributions of NVIDIA.
Latest News About NVIDIA
The company announced this week that nine new supercomputers worldwide are using NVIDIA Grace Hopper™ Superchips to speed scientific research and discovery. Combined, the systems deliver 200 exaflops, or 200 quintillion calculations per second of AI processing power. Though concentrated in Europe, the supercomputers are also in use at the National Center for Supercomputing Applications at the University of Illinois Urbana-Champaign, Los Alamos National Laboratory, and the Texas Advanced Computing Center. NVIDIA linked these developments to the drive to construct more efficient AI-based supercomputers that are accelerating as countries around the world recognize the importance of sovereign AI — investing in domestically owned and hosted data and infrastructure. More details.
NVIDIA also fills its role in accelerating quantum computing efforts at national supercomputing centers around the world with the open-source NVIDIA CUDA-Q™ platform. Supercomputing sites in Germany, Japan, and Poland will use the platform to power the quantum processing units (QPUs) inside their NVIDIA high-performance computing systems. The brains of quantum computers, QPUs use particles like electrons or photons to calculate differently than traditional processors, with the potential to make certain types of calculations faster. More details.
Selection Methodology
NVIDIA was chosen number 1 on the AI Ecosystem Top 12 list through a process managed by Acceleration Economy analysts; the process was designed to replicate the “research and discovery process” an executive team goes through as they are considering a transformational project around AI for their business. The selection relied on objective (public records, reports, news, analysis, case studies) and subjective (experience, WOM, social media) metrics as well as:
- Partnerships and investments that create innovation and customer value
- Partners (integrators, ISVs, SaaS vendors) in the company’s ecosystem creating platform value
- Innovation that accelerates vertical market/industry business models through customer co-creation
Stay tuned for much more coverage of NVIDIA from our analyst team.
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