HPE Launches New Purpose-built Solutions – Powered by AMD – to Accelerate Training for Large, Complex AI Models

Hewlett Packard Enterprise (NYSE: HPE) announced the HPE ProLiant Compute XD685 for complex AI model training tasks, powered by 5th Gen AMD EPYC™ processors and AMD Instinct™ MI325X accelerators. The new HPE system is optimized to quickly deploy high-performing, secure and energy efficient AI clusters for use in large language model training, natural language processing and multi-modal training.

Hewlett Packard Enterprise Introduces One-click-deploy AI Applications in HPE Private Cloud AI 

Hewlett Packard Enterprise (NYSE: HPE) announces HPE Private Cloud AI is available to order and introduces new solution accelerators to automate and streamline artificial intelligence (AI) applications. HPE Private Cloud AI is a turnkey, cloud-based experience co-developed with NVIDIA to help businesses of every size build and deploy generative AI (GenAI) applications that was introduced as part of the NVIDIA AI Computing by HPE portfolio.

Hewlett Packard Enterprise Debuts End-to-End AI-Native Portfolio for Generative AI

Today at NVIDIA GTC, Hewlett Packard Enterprise (NYSE: HPE) announced updates to one of the industry’s most comprehensive AI-native portfolios to advance the operationalization of generative AI (GenAI), deep learning, and machine learning (ML) applications.

NVIDIA and HP Supercharge Data Science and Generative AI on Workstations

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.

HP Inc. Big Data Industry Predictions for 2024

Our friends over at HP, Inc. have prepared a special set of compelling technology predictions for the year ahead. From the company’s point of view 2024 should be quite a year! Straight from the executive suite, you’ll learn about what’s predicted to happen with AI, GenAI, LLMs, BI, data science, data engineering, and much more. Enjoy these special perspectives from one of our industry’s best known movers and shakers.

Life is Fleeting, But Data is Forever – Meet your Digital Twin

[SPONSORED POST] With the transformation of medicine from analog to digital, plus the rise of new data-generating devices for health tracking and genomic information, we can look forward to a new world in which virtually every aspect of a patient’s medical history can be communicated, stored, and manipulated. For each patient, this huge body of data represents a sort of digital twin, a treasure trove of useful medical information and insights that could become invaluable in developing patient treatments in the future.

Kickstart Your Business to the Next Level with AI Inferencing

The need to accelerate AI initiatives is real and widespread across all industries. The ability to integrate and deploy AI inferencing with pre-trained models can reduce development time with scalable secure solutions that would revolutionize how easily you can capture, store, analyze, and use data to be more competitive.

Three Next-Generation Data Architectures: How Cloud, Mesh, and Data Fabrics Impact your AI Deployments

In this contributed article, Mohan Rajagopalan, vice president and general manager at Hewlett Packard Enterprise, discusses how the ideal solution to siloed data is implementing a single data plane across a business. This unified system allows enterprises to realize the grand vision they have been promised: One where data from all sources and apps can be used together for the benefit of the business. Understanding the role of cloud, mesh and fabric architectures is the first step toward a truly contemporary data-driven enterprise.

Revolutionizing Bioscience Research: Creating an Atlas of the Human Body

Making healthcare and life science (HCLS) discoveries is time-consuming and requires considerable amounts of data. HPC enterprise infrastructure with AI and edge to cloud capabilities is required for biomedical research to make creating a human atlas of the body possible. The HPE, NVIDIA and Flywheel collaboration using the latest technologies designed for HCLS promise to transform biomedical research.

Improving Product Quality with AI-based Video Analytics: HPE, NVIDIA and Relimetrics Automate Quality Control in European Manufacturing Facility

Manufacturers are using the power of AI and video analytics to enable better quality control and traceability of quality issues, bringing them one step closer to achieving zero defects and reducing the downstream impacts of poor product quality. Together, HPE, NVIDIA and Relimetrics enable customers to adapt to high production variability and velocity with faster, more accurate, automated inspection processes.