- NVIDIA and HP Inc. partner to integrate CUDA-X libraries with HP AI workstations for generative AI development.
- CUDA-X libraries accelerate data processing for various types like tables, text, images, and video.
- Collaboration aims to expedite data science workflows, enhance pandas performance, and empower data scientists on HP workstations.
NVIDIA and HP Inc. partnered to integrate NVIDIA CUDA-X data processing libraries with HP AI workstation solutions to accelerate data preparation for generative AI development, providing a full-stack solution for data scientists.
What to know: NVIDIA and HP Inc. have partnered to integrate NVIDIA CUDA-X data processing libraries with HP AI workstation solutions to enhance data preparation and processing for generative AI development. The CUDA-X libraries, built on the NVIDIA CUDA compute platform, accelerate data processing for various data types like tables, text, images, and video. This integration includes the NVIDIA RAPIDS cuDF library, which boosts the performance of pandas software used by nearly 10 million data scientists by up to 110 times when using an NVIDIA RTX 6000 Ada Generation GPU instead of a CPU-only system. This collaboration aims to provide a full-stack development solution within HP AI workstations to expedite data science workflows, enabling data scientists to process data more efficiently and train generative AI models effectively.
Stronger together: The partnership between HP and NVIDIA focuses on speeding up data science tasks on HP workstation solutions by leveraging the power of NVIDIA RAPIDS cuDF library to enhance pandas performance. DataFrames, a key data structure in pandas, allow developers to manipulate and analyze tabular data easily. By accelerating pandas to run on GPUs without requiring any code changes, RAPIDS cuDF ensures seamless compatibility with third-party libraries and unifies GPU and CPU workflows. The RTX 6000 Ada Generation GPUs, with 48GB of memory per GPU, enable efficient processing of large data science and AI workloads on HP Z workstations, making them one of the most powerful workstations for AI creation. This collaboration enables data scientists to work on local systems to process large generative AI workloads efficiently.
Deeper details: NVIDIA RAPIDS cuDF, designed to accelerate pandas with zero code changes, is set to be available on HP AI workstation solutions equipped with NVIDIA RTX and GeForce RTX GPUs this month, and later on HP AI Studio. This integration aims to provide data scientists with the tools and systems necessary to power their critical work efficiently. The close collaboration between HP and NVIDIA ensures that data scientists can streamline development processes by working on local systems to handle even large generative AI workloads effectively. The availability of RAPIDS cuDF on HP AI workstations will empower data scientists to process data faster, train AI models more effectively, and enhance their overall productivity in the field of data science and AI development.
