CUDA GPU-Accelerated Computing

New CUDA Libraries from NVIDIA Accelerate Computing and Speed Up Science and Industrial Applications by Orders of Magnitude

NeMotron-4 340B generates high-quality synthetic data and NeMo Curator adds picture curation to produce bespoke datasets

Companies are employing NVIDIA accelerated computing to speed up apps that used to run on CPUs

NVIDIA accelerated computing-powered cloud instances powering plastic recycling plants use CPFD software

Cloud-based accelerated computing is expected to offer even more creative use cases, given the exponential expansion of data

Using CUDA GPU parallel processing capacity, accelerated computing reduces expenses and energy use while increasing productivity by orders of magnitude

While providing better speed, GPU-accelerated computing uses a lot less energy overall than general-purpose CPUs

The most recent version of cuVS searches big indexes at scale and enables them to be generated in minutes as opposed to hours or even days

For more details Visit Govindhtech.com