Modernizing Banking Infrastructure with Intel Xeon

Modernizing banking infrastructure through next generation compute platforms

European financial institution improves efficiency performance sustainability and AI readiness

6 min Lesen

Published: 21 September 2026

Last updated: 30 October 2026

Overview

A leading European financial institution partnered with HCLTech to modernize its data centre infrastructure and establish a future-ready platform capable of supporting core banking operations while enabling long-term digital transformation. The organisation operated a large estate of ageing servers that supported transaction processing middleware services reporting platforms developer environments and analytics workloads.

As infrastructure demand continued to grow the client faced increasing operational complexity rising power consumption and higher maintenance costs. At the same time the organisation required greater compute capacity to support business growth while maintaining the performance availability and security standards expected of a regulated financial institution.

HCLTech designed and implemented a large-scale infrastructure transformation built on the latest generation Intel Xeon processor platform. The solution consolidated hundreds of legacy servers into a modernised compute environment that delivers higher performance improved efficiency lower operational costs and readiness for emerging AI driven workloads. The result is a streamlined infrastructure foundation capable of supporting critical banking services today while providing the flexibility required for future innovation.

The Challenges

The client faced several infrastructure and operational challenges that constrained efficiency and future scalability.

A heterogeneous server environment consisting of approximately 385 ageing systems increased operational complexity and management overhead.
Critical banking applications required consistent high performance, low latency and uninterrupted service availability.
Rising energy consumption and cooling requirements were driving infrastructure operating costs and impacting sustainability objectives.
Diverse workload requirements spanning core banking middleware applications reporting platforms analytics tools and cloud-native services required a highly flexible architecture.
Existing infrastructure lacked the scalability and efficiency needed to support future AI and machine learning initiatives.
Multiple hardware generations created challenges related to maintenance supportability and lifecycle management.

The client required a modern infrastructure platform capable of delivering substantial consolidation while maintaining performance reliability and regulatory compliance.

The Objective

HCLTech worked closely with the client to define a strategic infrastructure modernization roadmap designed to improve operational efficiency and support future growth.

Key objectives included:

Consolidate the existing server estate into a significantly smaller infrastructure footprint.
Increase compute density and performance while maintaining support for all existing workloads.
Improve performance per watt and performance per dollar across the data centre.
Reduce total cost of ownership through lower power cooling maintenance and infrastructure management costs.
Standardise infrastructure to simplify operations and reduce administrative complexity.
Build a scalable foundation capable of supporting future analytics machine learning and AI use cases.
Use data-driven assessment and sizing methodologies to optimise hardware selection and workload placement.

The Solution

HCLTech designed and deployed a unified infrastructure architecture powered by next generation Intel Xeon processors.

The new environment replaced approximately 385 legacy servers with 107 modern enterprise-class systems engineered to support business-critical banking workloads. The architecture leveraged high-core-count processors DDR5 memory enhanced security capabilities and built-in AI acceleration technologies to maximise performance and efficiency.

Using advanced infrastructure assessment and workload analysis tools HCLTech evaluated workload characteristics utilisation patterns and future capacity requirements. This data-driven approach enabled accurate server sizing and helped identify the optimal deployment configuration for each workload category.

The solution included:

High-density compute platforms supporting significantly greater workload consolidation.
DDR5 memory technology delivering higher bandwidth and increased application performance.
Built-in AI acceleration capabilities enabling support for future machine learning and generative AI workloads.
Enterprise-grade resilience and security capabilities to meet banking industry requirements.
High-speed networking and storage connectivity designed for transaction-intensive environments.
Standardised infrastructure architecture simplifying management and lifecycle operations.

To minimise risk HCLTech executed the migration through a phased deployment model. A parallel infrastructure environment was established where applications and data were replicated synchronised and validated before production cutover.

Comprehensive validation activities were performed throughout the programme including application compatibility testing performance benchmarking peak-load simulations failover testing and operational readiness assessments. This structured approach ensured business continuity while enabling a smooth migration to the new infrastructure platform.

Technologies leveraged: Intel Xeon processors DDR5 memory AI acceleration technologies enterprise Linux platforms virtualisation technologies OpenShift container platforms and infrastructure assessment tools.

Intel Xeon Processor Advisor Usage

Throughout the project, Intel provided consultative support and tooling. HCLTech engineers used Intel Xeon Processor Advisor (XPA) to conduct a full workload and Total cost of ownership (TCO) analysis. The XPA suite’s Data Center TCO Advisor module was used to input the 385-server baseline and proposed Xeon 6 hardware. It calculated expected power draw, rack utilization and costs for each scenario.

The Impact

The transformation delivered measurable business value across performance, efficiency, sustainability and future readiness.

72% reduction in the server estate, consolidating 385 legacy servers into 107 Intel Xeon 6-based systems and simplifying infrastructure management.
3.6x infrastructure consolidation, enabling business-critical applications, including Avaloq, to run on a standardized platform with capacity for future growth.
40% increase in average application throughput, improving the performance and responsiveness of key banking workloads.
30-40% faster execution of complex processes, accelerating reporting and transaction-intensive operations.
86% reduction in power consumption and data center footprint, lowering energy, cooling and facility requirements while supporting sustainability goals.
4.5x increase in memory capacity, expanding available memory from 49 TB to 219 TB to support growing transaction volumes and analytics requirements.
Approximately 40% reduction in five-year total cost of ownership, driven by lower energy consumption, reduced maintenance requirements and infrastructure standardization.
AI-ready infrastructure, providing a scalable foundation for analytics, machine learning and future generative AI initiatives.
Enhanced operational efficiency, enabling simpler administration, monitoring, maintenance and lifecycle management through a smaller, standardized environment.

By modernizing and consolidating its infrastructure, HCLTech helped the financial institution improve performance, reduce operating costs and create a scalable platform for future innovation and growth.