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NVIDIA and HP Collaborate to Enhance Data Science and Generative AI Workflows

This collaboration aims to accelerate data preparation and processing tasks, crucial for the development of generative AI models.

NVIDIA and HP Inc. have joined forces to integrate NVIDIA CUDA-X™ data processing libraries into HP AI workstation solutions. This collaboration aims to accelerate data preparation and processing tasks, crucial for the development of generative AI models.

Turbocharged Data Processing:

The integration of NVIDIA CUDA-X libraries, built on the NVIDIA CUDA® compute platform, significantly boosts data processing speed across various data types, including tables, text, images, and video. Notably, the NVIDIA RAPIDS™ cuDF library accelerates pandas software, commonly used by data scientists, by up to 110x when using an NVIDIA RTX™ 6000 Ada Generation GPU compared to CPU-only systems, without necessitating any code modifications.

Full-Stack Development Solution:

NVIDIA software, including RAPIDS cuDF, will be available as part of Z by HP AI Studio on HP AI workstations, offering a comprehensive development solution to expedite data science workflows.

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Jensen Huang’s Perspective:

Jensen Huang, founder and CEO of NVIDIA, highlights the significance of accelerating pandas, a fundamental tool for data scientists, with zero code changes. This enhancement enables data scientists to process data swiftly, significantly reducing processing time and enabling handling of larger datasets for training generative AI models.

Enrique Lores’ Statement:

Enrique Lores, president and CEO of HP Inc., emphasizes the importance of providing fast access to software and systems for data science, which forms the foundation of AI development. The integration of NVIDIA AI software and GPU acceleration into HP AI workstations offers a robust solution to meet customer needs effectively.

Speeding Data Science with NVIDIA CUDA-X:

The NVIDIA RAPIDS cuDF library accelerates pandas by leveraging GPUs, enabling seamless operation without code changes. This enhancement is critical as datasets continue to expand, with RTX 6000 Ada Generation GPUs offering ample memory capacity to process large data science and AI workloads efficiently.

Powerful Workstation Solutions:

HP Z8 Fury, equipped with up to four RTX 6000 GPUs, stands out as one of the world’s most potent workstations for AI creation. The collaboration between HP and NVIDIA facilitates streamlined development processes, allowing data scientists to handle large generative AI workloads on local systems.

Availability:

NVIDIA RAPIDS cuDF for accelerated pandas, requiring zero code changes, is set to be available on HP AI workstation solutions with NVIDIA RTX and GeForce RTX GPUs this month. Additionally, it will be integrated into HP AI Studio later this year, offering enhanced capabilities for data scientists and AI developers.

Anshika Mathews
Anshika Mathews
Anshika is an Associate Research Analyst working for the AIM Leaders Council. She holds a keen interest in technology and related policy-making and its impact on society. She can be reached at anshika.mathews@aimresearch.co
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