HPE fuels business transformation with new AI and hybrid cloud solutions

Announcing full-stack AI-native architecture that accelerates development and deployment of AI models. 

Simplify your AI data pipeline

Getting an end-to-end view of your data and turning your AI strategy into a pipeline of well-planned projects is critical to delivering on their promise. Going from proof of concept, right through to production, turning all the data within your business into a strategic asset with AI, requires a new way of thinking about how you manage that pipeline throughout its lifecycle.

Train and tune AI models faster

Time to market is challenging with AI. Training and tuning models faster requires you to bring together the software, supercomputing technologies and expertise that will allow your models to continuously adapt and learn autonomously, at scale.

Make your AI sustainable from the start

Large AI models require massive computing power and energy to train. For instance, in 2020, according to recent studies, it took 1,287 MWh to train GPT-3%3Ca%20href%3D%22https%3A%2F%2Farxiv.org%2Fpdf%2F2104.10350.pdf%22%20target%3D%22_blank%22%20data-analytics-region-id%3D%22footnote_tip%7Clink_click%22%3E%E2%80%9CCarbon%20Emissions%20and%20Large%20Neural%20Network%20Training%E2%80%9D%3C%2Fa%3E%20. Enough to power over 100 US homes for a year.%3Ca%20href%3D%22https%3A%2F%2Fwww.eia.gov%2Ftools%2Ffaqs%2Ffaq.php%3Fid%3D97%26amp%3Bt%3D3%22%20target%3D%22_blank%22%20data-analytics-region-id%3D%22footnote_tip%7Clink_click%22%3E%E2%80%9CHow%20much%20electricity%20does%20an%20American%20home%20use%3F%E2%80%9D%3C%2Fa%3E%20 That’s why sustainability must be built into every decision you make to train, tune and deploy your AI models. AI requires a holistic approach that prioritizes sustainability from the infrastructure and software, to where the models are trained and deployed run, and how they are powered and cooled with renewable energy.

Accelerate generative AI and large language models (LLM)

The promise of generative AI is beginning to be realized and will be transformational in advancing the way we live and work. But the models are huge and the data just keeps on growing. Accelerating the development of such large language models requires the removal of complexity and barriers to entry, in an optimal environment uniquely architected for AI.

Featured AI products and services

HPE Ezmeral Unified Analytics Software

Unlock data and insights faster by helping you develop and deploy data and analytic workloads. Provides fully managed, secure, enterprise-grade versions of the most popular open-source frameworks with a consistent SaaS experience.

HPE Machine Learning Development Environment

Uncover hidden insights from your data by helping engineers and data scientists collaborate, build more accurate ML models and train them faster.

HPE Machine Learning Data Management Software

Uncover hidden insights with a data pipelining and versioning solution that automates data pipelines and accelerates time to ML model production by processing petabyte-scale workloads.

HPE ProLiant Servers

Speed time to value with systems that are optimized for computer vision inference, generative visual AI, and end-to-end natural language processing. 

Explore the ways HPE can help you open up opportunities across edge to cloud


Connect your edge

Control and harness data across edge to cloud.


Turn your data into intelligence

A single source of truth from data to make smart decisions and recommendations to customers.


Make AI work for you

Create your AI advantage by unlocking the full potential of your data.


Create your hybrid cloud

Hybrid cloud, just the way you need it.


Secure your data

Only the right level of security will do.