Operationalize your AI in hybrid cloud: Cloud experience everywhere with HPE GreenLake

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HPE is helping organizations worldwide innovate faster with hybrid cloud for AI. HPE GreenLake is a single cloud operating model designed to unlock your data and power AI from edge to core to cloud.

In 2023, hardly a week has passed without a major AI announcement, product launch, or teaser for the next breakthrough. It is the year of AI, to say the least. I am fascinated by the latest advances in AI, not just because of my focus in marketing but also because these developments are changing my views of up-and-coming technologies, worthy IT investments, and how I guide my children through career choices. Keeping up with generative AI and the speed of change can be overwhelming—and even with our finger on the pulse, we can easily be left behind.

Enterprises face the same problem if they are not in the business of monetizing their data through training billion-parameter foundational AI models. These organizations have the same big question: How do we adopt AI and keep up with the competition?

AI is driving improvements across multiple industries enabling faster insights, automation, and innovation. are now prioritizing AI over all other digital investments, yet 89% struggle to deploy models into production.

Here are the steps to help you get started:

1. Consider your goals: Understand where AI plays and adds value to your business strategy
2. Understand your data: Prepare your data assets and data governance policies for AI use
3. Prepare your workforce: Train and upskill your workforce for responsible AI across business and IT
4. Experiment: Let your developers and users privately test AI applications, tools, and foundational models in a secure, compliant sandbox-type environment

The next step is to evolve and scale. AI is only effective if use case pilots and experiments can be deployed for inference—which typically occurs at the edge or core, versus in the public cloud. The use cases must be scaled with your data using powerful computing and fine-tuned for cost, performance, and accuracy through continuous human feedback loops.

Put simply, you need to be in control of your data, costs, and models to make AI work for you. This means your organizational design must support AI-driven automation, human capital, and innovation.

Accelerating AI in a hybrid operating model  

Today’s top organizations can meet inflexible IT infrastructure challenges through a new type of operating model that delivers the best of cloud computing and on-prem IT. Hybrid cloud is shaping the future of AI, bringing a secure and consistent experience to AI-native apps and data everywhere at the edge, data center, and cloud. (See: What is hybrid cloud?)

For example, you can make the most of generative AI in the private cloud without sacrificing privacy and security by customizing public generative AI models with their enterprise-specific knowledge and proprietary data. At the edge, you can address cutting-edge use cases including video analytics, autonomous driving, quality control, and fraud detection.

The potential for AI is truly endless. However, we know that computing constraints, complexities in AI/ML lifecycle management, and other “last mile” challenges can compromise AI training, tuning, and deployment.

HPE GreenLake eliminates these roadblocks by delivering a cloud experience to your AI infrastructure, apps, and data. The edge-to-cloud platform offers a broad portfolio of SaaS and IaaS offerings for HPC/AI, support for open source data science tools, AI accelerators, frameworks, and third-party solutions to deliver hybrid cloud by design. Whatever your business goals, HPE GreenLake has the tools and resources you need to succeed with AI:

• A secure, consistent cloud experience everywhere with intuitive, familiar, self-service access to resources and pay-per-use economics for all your workloads
• Agility and flexibly to scale up and down as needed with interoperability between public and private clouds, edge, and multi-generational IT
• Improved visibility, compliance, and control across your data and entire hybrid estate with fully managed options
• Hybrid cloud operations that are AIOps-powered, automated, and centralized
• Global AI, edge computing, hybrid cloud expertise from HPE and a growing ecosystem of partners

Enhancing key AI use cases with control of your data  

Organizations everywhere are using HPE GreenLake to harness greater control of their data in hybrid cloud. Check out some of the top AI use cases with HPE GreenLake:

Large language models (LLMs) require a scale-out architecture and compute-intensive parallel processing. HPE GreenLake gives you access to sustainable and affordable supercomputing and LLMs as a service, enabling you to rapidly train, tune, and deploy large-scale AI on demand. You can run a single AI workload at full computing capacity utilizing hundreds to thousands of processing units.

Generative AI is now accelerating AI model development. Yet organizations often struggle to shorten the gap between POC and AI model deployment. SaaS offerings for HPC/AI (such as unified analytics and ML development environment software) make it easy to run, scale, and share experiments and begin training models.

Nearly every industry is seeing an increase in AI at the edge. As more AI/ML use cases emerge at the edge, organizations are processing and deploying AI algorithms locally to mitigate latency, costly data migration, and security risks. HPE GreenLake offers IaaS for edge AI in private cloud environments designed to automate the management of thousands of distributed edge locations, all integrated with your environment.  

Mission-critical AI applications in fields such as manufacturing, financial services, healthcare/life sciences, and retail depend on optimized hardware and software to achieve better business outcomes. HPE GreenLake Flex Solutions offers the flexibility to customize, tune and optimize AI use cases and infrastructure with ISV partners delivering your SLAs and business use cases.

Data sovereignty and security are top of mind for today’s decision-makers. Emerging AI regulations prioritize data protection, transparency, and accountability, all of which ultimately require control, transparency and visibility of your data and AI models. Through HPE GreenLake platform and SaaS offerings, organizations can protect their data through “zero trust” security architecture from the supply chain to the apps layer, integrate their data pipelines, and unify analytics by automating AI/machine learning lifecycle. (Learn more in this blog by Chief Technologist and data scientist Iveta Lohovska.)

AI expertise will be in high demand for the foreseeable future. Reskilling your teams is critical to your AI projects, and seeking expert guidance can help you quickly operationalize AI in hybrid cloud. HPE AI and Hybrid Cloud advisory and management services experts can help you along your journey.

Pioneering a new wave of AI

HPE is making continuous strides in AI alongside our industry-leading partners and customers worldwide. Among our recent collaborations, HPE has partnered with Aleph Alpha to bring AI expertise, sovereignty, and security to more enterprises using the HPE GreenLake edge-to-cloud platform. The National Security Agency (NSA) has also adopted the HPE GreenLake platform as part of a $2 billion contract. The new collaboration allows the NSA to efficiently manage their growing AI and data needs with HPC solutions from HPE delivered as a service. The solution provides industry-leading performance through flexible and secure cloud services, fully managed by HPE.

Wherever you are on the path to AI innovation, HPE can help. Let’s turn your data into superior outcomes. Explore hpe.com and check out my recent blog: Rethink your hybrid cloud strategy with the cloud that comes to you.

Ready to take action? Visit one of our Customer Innovation Centers or meet with our experts at HPE Discover Barcelona taking place November 29^th–December 1^st.