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Introduction
New libraries in accelerated computing deliver order-of-magnitude speedups and reduce energy consumption and costs in data processing, generative AI, recommender systems, AI data curation, data processing, 6G research, AI-physics, and more.
Acceleration of AI and High-Performance Computing
NVIDIA’s accelerated computing platform powers breakthroughs in AI, high-performance computing, and data science. With these innovations, customers can accelerate their workflows and applications, achieving extreme speedups and significant energy savings.
NVIDIA estimates that if all AI, HPC, and data analytics workloads that are still running on CPU servers were CUDA GPU-accelerated, data centers would save 40 terawatt-hours of energy annually. That’s the equivalent energy consumption of 5 million U.S. homes per year.
Data Processing Applications
cuVS is an open-source library for GPU-accelerated vector search and clustering that delivers incredible speed and efficiency across LLMs and semantic search. The latest cuVS allows large indexes to be built in minutes instead of hours or even days, and searches them at scale.
Data Processing Applications
cuVS is an open-source library for GPU-accelerated vector search and clustering that delivers incredible speed and efficiency across LLMs and semantic search. The latest cuVS allows large indexes to be built in minutes instead of hours or even days, and searches them at scale.
Frequently Asked Questions
Q: What is CUDA?
A: CUDA is a parallel computing platform and programming model developed by NVIDIA that enables GPU acceleration for a wide range of applications.
Q: What is cuLitho?
A: cuLitho is a library for silicon computational lithography acceleration that enables faster design, verification, and manufacturing of next-generation computing systems.
Q: What is Warp?
A: Warp is a library for high-performance GPU simulation and graphics that helps accelerate spatial computing by making it easier to write differentiable programs for physics simulation, perception, robotics, and geometry processing.
Q: What is cuDF?
A: cuDF is an open-source library for data frame and table acceleration that enables fast data processing and analytics on large-scale data sets.
Q: What is NVIDIA NIM?
A: NVIDIA NIM is a streamlined path to production deployment that packages multiple libraries and AI models into optimized containers, delivering improved throughput out of the box.
Conclusion
The NVIDIA accelerated computing platform is a game-changer for AI, high-performance computing, and data science. With its powerful libraries, GPUs, and software tools, the platform enables customers to achieve extreme speedups, significant energy savings, and remarkable efficiency.
