HPE and Intel have put together an exclusive opinion piece to discuss having the right infrastructure in place your day-to-day business in addition to potential future AI projects.
Artificial Intelligence (AI) is no longer the domain of tech giants alone – it’s transforming industries, enabling organisations to unlock insights, streamline operations, and drive innovation. Central to this transformation is the core compute infrastructure that underpins AI’s processing demands. As opportunities grow, so does the necessity for having the right IT infrastructure in place to support both day-to-day operations as well as potential AI projects. From powering real-time decision-making to enabling advanced analytics, the right infrastructure is the foundation for both operational excellence and AI-driven success.
How effective is your IT infrastructure?
Creating and implementing an effective modern digital strategy now stretches much further than simply ensuring hardware and software is up to date and meeting the needs of your teams. With disruptive technological advances, including AI, changing how organisations operate, there is great potential to gain enormous benefits from exploring how best to support these emerging technologies and gain greater insights from your data.
Turning data into insights requires next-gen compute infrastructure – powerful, high-performance systems – strategically located where the relevant data is to reduce latency and enable real-time decision-making. When looking to refresh or invest in IT, it’s essential that a modern compute infrastructure is flexible and robust, designed to support a secure, scalable environment, and optimised for current, as well as future workloads. This will ensure your infrastructure is ready for AI, creating a strong foundation from which to push the organisation forward, whilst continuing to effectively support day-to-day operations.
After the initial excitement of public cloud, many organisations are now looking to bring workloads back in-house to their own domain, with concerns around data sovereignty, uncertain costs, sustainability and lack of observability. Maintaining general control and oversight of data is vital for many organisations; this means that building an effective infrastructure is essential – even more so with the potential of AI revolutionising operations and creating new opportunities. A performant, scalable on-premises infrastructure is able to support this developing AI journey, as well as maintaining the efficient daily operation of an organisation.
Exploring the potential of AI
There is still an endless amount to learn about AI, and as use cases grow, it’s important for organisations to understand how to identify the relevant opportunities of AI innovation and new technologies. For governments and research organisations making groundbreaking discoveries or advancing complex scientific research, these processes can require thousands of GPU-accelerated nodes within clusters of high-performance servers. Large organisations may also look to build end-to-end AI solutions with wide ranging goals; from improving customer service to streamlining complex business processes, using fewer GPU-accelerated servers. Many organisations find great value in using pre-trained, out-of-the-box models that can provide faster solutions, solving challenges more quickly. This option doesn’t require the same level of customisation, funding or expertise.
Using previously trained AI models, such as Large Language Models (LLMs), to generate new outputs is known as ‘inferencing’, and is a highly effective way of using an existing model to make predictions of decisions based on your own data. Another machine learning technique, RAG (retrieval augmented generation), combines an LLM with another data source for real-time search or retrieval of documents. This means that organisations can access powerful pre-trained AI tools without the need for extensive research or expertise, enabling enhanced decision-making, automated processes and improving customer interactions quickly and affordably.
Generative AI solutions can offer deep, actionable insights in real time, providing results in a clear and understandable format. Additional AI use cases also contribute to an organisation’s competitive advantage, including computer vision – which analyses videos, images and schematics and makes recommendations – and natural language processing, which builds interfaces to carry out tasks, emulating human language. AI models such as these can help organisations reduce operational costs, improve supply chain efficiency and personalise marketing efforts, helping target specific customers with tailored messaging. The technology also extends to predicting market trends, optimising resource allocation and enhancing decision making through data-driven insights.
Creating the right solution
All these AI models and use cases require specific, optimised compute solutions with enterprise-grade reliability, security and scalability to transform operations and increase efficiency. As organisations move to refresh or invest in IT, it is critical to prioritise a flexible, high-performance infrastructure, optimised for complex workloads of the present and future.
HPE’s Intel-powered solutions support demanding workloads and AI implementation, with Xeon® scalable processors efficiently transforming data into intelligence. With built in security and optimised performance, ready for AI workloads, the HPE ProLiant DL380a Gen11 server provides a scalable architecture with advanced GPU accelerators, engineered to optimise IT. A modern infrastructure such as this is essential to unlock greater value from your data and power insights to drive your organisation forward.
The future is AI
AI is not just for large enterprises, the door is wide open for any organisation looking to unlock insights from their data, explore innovation and increase efficiencies to create value. Rapid advancements in technology are already leaving some organisations behind, with breakthroughs expanding opportunities and opening up new markets. Embracing digital transformation requires the right infrastructure and the best advice to ensure the most effective solution as part of a successful digital strategy. Refreshing or updating your on-premises infrastructure to support AI opens up a world of possibilities for the future while meeting the existing requirements of daily operation.
Find out more about how the HPE ProLiant DL380a Gen11 server could work for your organisation. Click here https://www.hpe.com/uk/en/hpe-proliant-dl380a-gen11-server.html
Image Credit: HPE & Intel
