HPE GreenLake
Insight on demand, at any scale, from edge to cloud
HPE AI makes the AI of tomorrow – AI that transforms every aspect of your enterprise – a reality. When your data is universally accessible, your AI teams are focused on development and deployment, and your IT infrastructure is flexible and unbounded. HPE makes AI that is data-driven, production-oriented and cloud-enabled, available anytime, anywhere and at any scale.
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Operationalise, optimise and orchestrate AI
Build your AI platform with IT infrastructure that’s flexible and unbounded. Our on-prem, cloud and hybrid options take into account your team’s location, access needs, security, and cost constraints, and our open systems use best-of-breed GPU and CPU technologies. With purpose-built AI-optimised solutions, you can quickly operationalise machine learning while turning data into a strategic resource with our data management platforms.
Speed the design and deployment of your AI strategy
No matter where you are in your AI journey, our experts can help you effectively design a future-ready AI strategy that makes use of industry-specific best practices while taking into account your unique situation and needs. We can help you move from AI PoC to production and ensure scalability to support new use cases and fast growth.
Manage costs, risks and returns
Get AI as a service with consumption-based solutions from HPE GreenLake, which combines the accessibility, flexibility and scalability of cloud with the security and cost benefits of on-prem infrastructure. Speed your transformation by unlocking capital trapped in legacy infrastructure with solutions from HPE Financial Services.
HPE supports AI for good
HPE is committed to the responsible, ethical development and deployment of AI as a means to advance the way we live and work.
AI across industries
AI for Enterprise
After decades of promise, enterprise-ready AI is fast becoming a reality. And with organisations producing data at unprecedented rates, technology that can turn this data into insights and efficiencies can’t come fast enough.
AI for Financial Services
New digital technologies are quickly reshaping the financial services industry, and financial institutions are turning to AI and machine learning to meet both increased regulatory requirements and customer demand for mobile and web-based access to banking products.
AI for Healthcare and Life Sciences
Research institutions and medical facilities are using the ability to analyse massive data sets to sequence the human genome, develop new forms of treatment, accelerate and improve patient care, and better manage electronic health records.
AI for Manufacturing
The future of manufacturing is connected, automated and digitally driven. As plant floor operations technologies converge with IT, numerous use cases across the manufacturing cycle become possible to ignite innovation, create more efficient operations, reduce downtime and improve worker productivity.
AI solutions
The right infrastructure and expertise will help you scale up and out until AI is woven into the fabric and culture of your enterprise.
What's new
What’s ahead for AI in 2021?
HPE AI experts share their vision for the future of AI plus offer some insights on what data scientists need to plan for in 2021. The big trend: the move from AI experimentation to operationalisation accelerates. The goal: insight on demand, at any scale.
What's new
What’s ahead for AI in 2021?
HPE AI experts share their vision for the future of AI plus offer some insights on what data scientists need to plan for in 2021. The big trend: the move from AI experimentation to operationalisation accelerates. The goal: insight on demand, at any scale.
Success in action
Big data at high speed
In a sport where split seconds make the difference, HPE technologies and HPE Pointnext help this F1™ team gain new technology advantages to power its drivers around the track.
Challenge
From simulations to car design to trackside analytics, the team must be able to process huge amounts of data. Simulations generate 50TB of CFD data per week, and on race days, some 18,000 channels of data flow into the team’s servers.
Solution
The team implemented an HPE Apollo 6500 platform to support modelling and simulations. To support trackside computing in the pit lane, HPE Pointnext consolidated 16 devices and their workloads onto a single HPE Edgeline system.
"On track or in the factory, we leave no stone unturned in our pursuit of performance. HPE technology plays a fundamental role, underpinning our continuous improvement process."
Michael Taylor, IT Director, Mercedes-AMG Petronas Formula One Team
Result
Pre-event simulations that once took 3–4 days now complete in under 24 hours, allowing the team to run more simulations between races. On race days, an integrated view of critical information runs and displays onto pit wall screens.
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