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NVIDIA and HP Inc. report that NVIDIA CUDA-X data processing libraries will be integrated with HP AI workstation solutions to enhance data preparation and processing work that helps advance generative AI development, the companies report.
Built on the NVIDIA CUDA compute platform, CUDA-X libraries speed data processing for a broad range of data types, including tables, text, images and video. They include the NVIDIA RAPIDS cuDF library, which accelerates the work of the nearly 10 million data scientists using pandas software by up to 110x using an NVIDIA RTX 6000 Ada Generation GPU instead of a CPU-only system, without requiring any code changes.
RAPIDS cuDF and other NVIDIA software will be available as part of Z by HP AI Studio on HP AI workstations to provide a full-stack development solution that speeds data science workflows.
“Pandas is the essential tool of millions of data scientists processing and preparing data for generative AI,” says Jensen Huang, founder and CEO at NVIDIA. “Accelerating pandas with zero code changes will be a massive step forward. Data scientists can process data in minutes rather than hours, and wrangle orders of magnitude more data to train generative AI models.”
“Data science provides the foundation for AI, and developers need fast access to software and systems to power this critical work,” says Enrique Lores, president and CEO of HP. “
Pandas provides a data structure, called DataFrames, which lets developers manipulate, clean and analyze tabular data.
The NVIDIA RAPIDS cuDF library accelerates pandas so that it can run on GPUs with zero code changes, rather than relying on CPUs, which can slow workloads as data size grows. RAPIDS cuDF is compatible with third-party libraries and unifies GPU and CPU workflows so data scientists can develop, test and run models in production.
As datasets continue to grow, RTX 6000 Ada Generation GPUs provide 48GB of memory per GPU to process large data science and AI workloads on Z by HP workstations. With up to four RTX 6000 GPUs, the HP Z8 Fury is a powerful workstation for AI creation. The close collaboration between HP and NVIDIA allows data scientists to streamline development by working on local systems to process even large generative AI workloads.
NVIDIA RAPIDS cuDF for accelerated pandas with zero code changes is expected to be available on HP AI workstation solutions with NVIDIA RTX and GeForce RTX GPUs by end of March 2024 and on HP AI Studio later this year.
Sources: Press materials received from the company and additional information gleaned from the company’s website.
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and…
Cut Retrieval-Augmented Generation (RAG) Hallucinations by 50%
Most teams hit the same wall with enterprise AI: LLMs that hallucinate, pipelines that don’t scale, and infrastructure that’s harder to design than the models themselves.
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