As a revolutionary technology, artificial intelligence (AI) creates enticing possibilities for companies that want to leverage deep insights to transform and automate business processes. However, organizations need help overcoming barriers to AI adoption to realize its full potential and harness its business value.
Find out more about what AI can do for your company by watching the HPE video series On the Goh with Dr. Goh.
Computacenter and HPE can help your company meet top AI challenges so you can accelerate adoption and develop a successful AI strategy.
Security Risk and Governance
Handling the large volumes of data needed to train AI models creates security risk and data governance challenges. Computacenter and HPE can provide secure, fully managed frameworks for deploying AI workloads to ensure you have access to the amount and quality of data you need.
Complexity of Large Language Models (LLM)
The complexity of LLM combined with rapid data growth requires a specialized environment, creating a barrier to entry and slowing the development of LLM initiatives. HPE GreenLake for Large Language Models is an on-demand, multi-tenant cloud service that empowers companies to train, tune, and deploy large-scale AI models.
Lack of AI Expertise
Not every company has access to AI development expertise. Even those that do have AI development experts need help working with IT to deploy AI models across the organization. Computacenter and HPE can provide the tools and professional services needed to increase your level of AI maturity.
Companies in key industries have questions about how they can implement artificial intelligence (AI) and machine learning (ML). Organizations in finance and healthcare want to uncover use cases for AI, ML, and large language model (LLM). As a Global HPE Platinum partner, Computacenter can answer their questions and present the right options for AI/ML-based solutions.
HPE Ezmeral Unified Analytics architecturally optimizes and leverages the industry’s first cloud-native solution on-premises, enabling you to scale up data lakehouses and accelerate AI and ML workflows. Spanning from the edge to hybrid cloud, the Ezmeral data platform offers a consistent environment to avoid data silos and make data engineering easier.
Companies in many industries are looking to take advantage of generative AI. A large language model (LLM) is a deep learning algorithm that can recognize and generate text and other content based on knowledge learned by ingesting big data.
AI as a Service from HPE and Computacenter helps companies tackle AI and ML to drive efficiency, help create models, and ultimately assist with business processes across the organization. HPE Ezmeral and AI as a service help companies in a range of industries achieve advanced data analytics. With Ezmeral, companies can unlock data and insights faster by developing and deploying data, analytics, and AI.
Computacenter can help your company use HPE data analytics solutions, including HPE GreenLake for Large Language Models, to build an AI/ML model and train it on business processes.
HPE GreenLake for Large Language Models is an on-demand, multi-tenant cloud service that gives enterprises the power to privately train, tune, and deploy large-scale AI models.
Accelerate your production journey
HPE GreenLake for LLMs runs on an AI-native architecture that is uniquely designed to run a single large-scale AI training and simulation workload at full computing capacity.
Rapid Training
Massive AI training workloads, such as LLMs, that normally take weeks to complete are finished in days, even hours, on an HPE supercomputer.
Sustainability
HPE GreenLake for LLMs runs on nearly 100% renewable energy with measures such as power management optimization through HPE software.
Data Security
Maintain control with data security, trustworthy and accurate models, no data lock-in, and HPE expertise.
HPE Ezmeral Unified Analytics Software enables companies to accelerate the development of analytics and AI workloads across hybrid environments. A consistent SaaS experience provides access to secure, enterprise-grade versions of the most popular open-source frameworks.
HPE Ezmeral Data Fabric Software is a SaaS-based data foundation for analytics and AI across hybrid cloud to seamlessly access, analyze, and govern data globally.
Uncover hidden insights from your data by helping engineers and data scientists collaborate, build more accurate ML models, and training these models faster.
Harness deep insights with a data pipelining and versioning solution that automates data pipelines and accelerates time to ML model production by processing petabyte-scale workloads.
Analyze data wherever it lives so you can act on real-time information.
Build a modern, data-first business and take advantage of AI and ML to unlock the business value of data and transform data into intelligence.
250 IT industry leaders share their insights into the state of storage and data center in 2022, including: