NVIDIA and HP boost data science and generative AI on workstations: A team's breakthrough

NVIDIA and HP Inc. have announced the integration of NVIDIA CUDA-X™ data processing libraries with HP AI workstation solutions. This will accelerate data preparation and processing for generative AI development.

CUDA-X libraries, built on the NVIDIA CUDA computing platform, enhance data processing across diverse data types such as tables, text, images, and video. The NVIDIA RAPIDS cuDF library significantly accelerates the work of nearly 10 million data scientists who rely on pandas' software. By leveraging an NVIDIA RTX 6000 Ada Generation GPU instead of a CPU-only system, performance gains of up to 110x are achieved, all without requiring any code modifications.

RAPIDS cuDF and other NVIDIA software will be offered as part of Z by HP AI Studio on HP AI workstations, offering a full-stack development solution that accelerates data science workflows.

"Pandas is the essential tool for millions of data scientists processing and preparing data for generative AI," said Jensen Huang, NVIDIA's founder and CEO. "Accelerating Pandas with no code modifications will be a significant step forward. Data scientists can handle data in minutes rather than hours and use orders of magnitude more data to train generative artificial intelligence models.

"Data science sets the groundwork for AI, and developers require quick access to software and systems to fuel this critical work," said Enrique Lores, president and CEO of HP Inc. "With the integration of NVIDIA AI software and accelerated GPU compute, HP AI workstations provide a powerful solution for our customers."

NVIDIA CUDA-X Accelerates Data Science on HP Workstation Solutions

Pandas has a robust data format called DataFrames, which allows developers to quickly edit, clean, and analyze tabular data.

The NVIDIA RAPIDS cuDF package speeds pandas, allowing them to operate on GPUs with no code modifications instead of CPUs, which can slow workloads as data size increases. RAPIDS cuDF works with third-party libraries and combines GPU and CPU operations, allowing data scientists to design, test, and execute models in production effortlessly.

As datasets expand, RTX 6000 Ada Generation GPUs with 48GB of RAM per GPU can handle massive data science and AI tasks on Z by HP workstations. With up to four RTX 6000 GPUs, the HP Z8 Fury is one of the world's most powerful workstations for AI development. HP and NVIDIA's strong partnership enables data scientists to speed development by working on local computers capable of processing huge generative AI workloads.

Availability

NVIDIA RAPIDS cuDF, which greatly accelerates pandas operations (almost 150 times quicker), now works smoothly with HP AI workstation systems. Users may use NVIDIA RTX and GeForce RTX GPUs to process data. Furthermore, HP AI Studio will include cuDF later this year, improving efficiency and performance.