Understanding the growing pressures around AI adoption
Across the UK, organisations are exploring how artificial intelligence, from advanced analytics to generative AI, can unlock new value. But many face the same challenges: fragmented data, uncertainty around where to start, rising infrastructure demands, and questions about governance, performance and cost.
AI success depends on a solid foundation. Without the compute power, storage performance and network throughput that modern AI requires, even the most promising use cases struggle to progress.
At DTP Group, we help you cut through the complexity and identify a clear path forward, backed by the strength of HPE’s enterprise-grade AI systems built with NVIDIA acceleration.
How HPE AI and NVIDIA Accelerate Real Business Value
HPE has engineered a portfolio of AI solutions designed specifically for enterprise needs, combining high-performance compute, accelerated networking and flexible hybrid-cloud operations with NVIDIA’s market-leading GPUs and software.
When brought together, this creates a scalable AI platform that is powerful, efficient and ready for real-world workloads.
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High-performance compute for training, inference and advanced analytics
NVIDIA-accelerated systems from HPE deliver the GPU power required for everything from model training to real-time inference. This ensures your teams can work with larger datasets, iterate faster and reduce time-to-value.
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A flexible AI foundation built for hybrid and edge environments
HPE GreenLake enables you to run AI where it makes the most sense – on-premises, in the cloud or at the edge – with consistent management and strong governance. This flexibility supports both early experimentation and long-term scaling.
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Accelerated networking designed for AI
AI workloads demand rapid data movement between compute nodes. HPE’s integration with NVIDIA Quantum and Spectrum fabrics provides low latency and high throughput, ensuring that GPU clusters perform at their full potential.
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Reliable, secure and governed AI operations
With built-in lifecycle management, data governance tools and enterprise-grade security, HPE’s AI architecture supports responsible deployment, helping you manage risk.
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End-to-end architecture that simplifies AI development
From data pipelines and storage to compute, networking and MLOps tooling, HPE provides a complete AI stack. This reduces integration complexity and accelerates your ability to deploy real use cases.
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Optimised for real business outcomes
Whether you’re working on automation, predictive analytics, generative AI, simulation or industry-specific applications, HPE’s solutions are engineered to support performance, reliability and scale.
Why Partner With DTP Group
AI infrastructure isn’t a single product; it’s a strategic decision that must align with your organisation’s goals, data maturity and risk profile. At DTP Group, we take a consult-first approach, helping you understand the opportunities, constraints and readiness steps required for successful AI deployment.
We assess your existing infrastructure, data pipelines, security posture and operational model, then design a roadmap that aligns AI capabilities with your business strategy. Our technical team ensures that your HPE + NVIDIA solution is developed, deployed and integrated to best-practice standards, with ongoing support, optimisation and lifecycle planning.
Throughout the journey, we help you balance ambition with governance, ensuring that your AI investment is responsible, secure and aligned with long-term value.
AI Solutions That Deliver Real Outcomes
Organisations across the UK are leveraging AI-ready infrastructure to improve productivity, competitiveness and decision-making:
- Accelerated analytics and insight generation, with GPU-powered compute speeding up data processing and forecasting.
- More effective experimentation in AI and ML, supported by scalable hybrid-cloud infrastructure and controlled environments.
- Enhanced automation and operational efficiency, with faster inference and more responsive applications.
- Support for emerging GenAI and LLM initiatives, using architectures optimised for high model throughput and real-time interaction.
- Improved governance and security, ensuring responsible use of AI and compliance with organisational policies.
While each organisation’s journey is different, the result is the same – a stronger foundation for innovation.
CASE STUDIES
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