NVIDIA and HP Supercharge Data Science and Generative AI on Workstations
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Insights
The integration of NVIDIA CUDA-X™ data processing libraries into HP's AI workstation solutions represents a significant enhancement in the tools available to data scientists. This collaboration aligns with the broader industry trend towards accelerating data processing and analysis, which is critical for the development of generative AI applications. By leveraging CUDA-X™ libraries, which are designed to optimize data throughput and computational efficiency, HP is positioning its workstations as a high-performance choice for professionals in the data science field.
From a market perspective, this partnership could potentially increase HP's competitive edge in the AI workstation market. The demand for advanced data processing capabilities is growing as businesses seek to harness the power of AI for various applications. HP's decision to incorporate NVIDIA's libraries could attract a segment of the market that requires robust computational power for data-intensive tasks, potentially leading to increased sales and market share for HP.
The collaboration between NVIDIA and HP Inc. is likely to have financial implications for both companies. NVIDIA's CUDA-X™ libraries are widely recognized for their performance in parallel computing tasks, which are essential for AI and machine learning workloads. By integrating these libraries with HP's AI workstations, NVIDIA is expanding its ecosystem and potentially increasing the usage of its software, which could lead to an uptick in software licensing revenue.
For HP, the enhanced capabilities of its AI workstations may translate into higher sales volumes, particularly among data scientists and organizations investing in generative AI development. This could improve HP's financial performance in the high-margin workstation segment. Investors should monitor the adoption rate of these enhanced workstations as an indicator of potential revenue growth for HP.
From a technological standpoint, the integration of NVIDIA's CUDA-X™ libraries with HP's AI workstations is poised to set a new standard in the realm of data science computing. CUDA-X™ is known for its ability to significantly reduce the time required for data processing tasks by utilizing the parallel processing capabilities of NVIDIA GPUs. This enhancement is particularly relevant for generative AI development, where large datasets are the norm and processing speed can be a bottleneck.
The partnership also underscores the importance of synergy between hardware and software in the AI space. By customizing their workstations with NVIDIA's specialized libraries, HP is not only improving the raw performance but also ensuring that their systems are optimized for the specific workflows of AI developers. This could lead to broader implications for the AI industry, as other hardware providers may follow suit, leading to more specialized and efficient AI development ecosystems.
Coming to Z by HP AI Studio, NVIDIA CUDA-X Data Processing Libraries Boost Python Pandas Software for Millions of Data Scientists
LAS VEGAS, March 07, 2024 (GLOBE NEWSWIRE) -- HP Amplify — NVIDIA and HP Inc. today announced that NVIDIA CUDA-X™ data processing libraries will be integrated with HP AI workstation solutions to turbocharge the data preparation and processing work that forms the foundation of generative AI development.
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,” said 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,” 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 Speeds Data Science on HP Workstation Solutions
Pandas provides a powerful data structure, called DataFrames, which lets developers easily 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 seamlessly.
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 one of the world’s most powerful workstations 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.
Availability
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 this month and on HP AI Studio later this year.
About NVIDIA
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 is fueling industrial digitalization across markets. NVIDIA is now a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.
For further information, contact:
Shannon McPhee
NVIDIA Corporation
smcphee@nvidia.com
+1-310-920-9642
Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, and performance of NVIDIA’s products, services, and technologies, including NVIDIA CUDA-X data processing libraries, NVIDIA CUDA, NVIDIA RAPIDS cuDF, NVIDIA RTX 6000 Ada Generation GPU and NVIDIA RTX and GeForce RTX GPUs; the benefits and impact of NVIDIA’s collaboration with HP Inc., and the features and availability of its services and offerings; pandas being the essential tool of millions of data scientists processing and preparing data for generative AI; accelerating pandas with zero code changes being a massive step forward; and the ability of data scientists to process data in minutes rather than hours, and wrangle orders of magnitude more data to train generative AI models are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
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