Accelerating AI modeling with the HPE Machine Learning Development Environment

[TechExperts]

Learn how the HPE Machine Learning Development Environment reduces the complexity and cost of AI model development, increases productivity for AI teams, and enhances data science collaboration.

From the quest for new advances in medicine, defending against financial fraud, or even creating text, images and video from AI, machine learning engineers and data scientists look to new solutions that will not only enable them to focus on innovation, but also help them to collaborate for more robust and ethical AI models, and do it faster and increasingly more sustainable manner.

Done correctly, with the appropriate tools, companies today can create their AI advantage.  Being able to harness the power of data-first modernization and AI-driven workloads through innovative new technologies can help customers meet the challenges of moving from AI hype to AI productivity.

This is what the advances in the HPE Machine Learning Development Environment are all about.  By reducing the complexity and cost associated with AI model development, this comprehensive solution speeds time to value for AI and ML model developers, helping to bring faster time to market by dramatically increasing productivity for AI teams, enhancing collaboration among ML practitioners, all while increasing sustainability.

Realize benefits of AI faster 

New features in the HPE Machine Learning Development Environment include expanding multi-tenancy to bring more flexibility to user groups for workspaces and projects.  Through the expanded collaboration and security features in the HPE Machine Learning Development Environment, companies can develop responsible AI with beneficial outcomes for people and businesses and public services guided by ethical principles.

Also now available is the ability to mix AI and other high performance computing (HPC) workloads, as well as interface with the latest in GPU technology, to create a more flexible and robust AI development environment and allows AI/ML developers to focus on innovation by removing the need to write infrastructure code.

Combined with features like distributed training and hyperparameter optimization, the HPE Machine Learning Development Environment allows developers to get more from their GPUs with smart scheduling, as well as reduce cloud GPU costs by seamlessly using spot instances, helping to drive the efficiency of the infrastructure, enhancing sustainability and reducing carbon footprint.  

Additionally, the HPE Machine Learning Development environment continues to expand how customers can acquire and use the platform, from new software and hardware bundles in the HPE Machine Learning Development System, which features the software bundled and optimized on the latest HPE Cray systems, as well as now being able to use the development environment via the HPE GreenLake for HPC offering, giving customers the ability to more cost-effectively deploy and scale their AI projects.

With AI now mainstream, businesses are looking to fully realize its value, faster. Scaling AI across the business is the key and requires creating a data foundation across data types and sources, across your hybrid environment, unifying data and insights in a way that makes it simpler to operationalize and scale AI.   The HPE Machine Learning Development Environment can help companies accelerate their time to value for their AI initiatives and do it in a cost-effective and sustainable way.

For more information about HPE Machine Learning Development Environment, please visit the webpage.

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Meet Gary Craze Sr. Product Marketing Manager for HPE AI 

Meet blogger Gary Craze, a 35-year veteran of the technology industry. Gary has held marketing and product management roles with enterprise technology companies helping them to understand the needs of customers and creating compelling value propositions that meet their business needs. Currently, Gary is the Sr. Product Marketing Manager for HPE AI products, where he helps evangelize HPE AI solutions.