Reply and Amazon Web Services work with a number of financial services customers to help them to accelerate their HPC/HTC journey and drive innovation with algorithm modernisation
Are you looking to move your High Performance Compute workloads to Cloud to increase scalability, significantly decrease costs and at the same time enhance your risk modelling, intraday trading and regulatory compliance?
Reply, a premier AWS partner, will help you to accelerate and de-risk your journey to the cloud as well as set the stage for transformative algorithm modernisation.
AirWalk Reply is the Reply group company specialised in the design and delivery of cloud based services and solutions, driving technology-led transformational change in complex, regulated industries such as Financial Services, Government and the Public Sector. We bring a unique combination of deep technical subject matter expertise across technology strategy, architecture, service design, engineering and security, alongside business domain expertise and a heavyweight delivery capability.
Data Reply is the Reply group company offering a broad range of advanced analytics and AI-powered data services. We operate across different industries and business functions, enabling them to achieve meaningful outcomes through effective use of data. We have strong competences in Big Data Engineering, Data Science and IPA; we build Big Data platforms and implement ML and AI models in a manner that is repeatable, efficient, scalable, simple and yet secure. We supports companies in combinatorial optimization processes with Quantum Computing techniques that enable an engine with high computational performances.
Storm Reply is the Reply company specialising in the design and implementation of cloud-based solutions and services. Storm Reply supports the leading industrial groups in moving their systems and applications to the Cloud. Through a well-established expertise in Cloud solutions, Storm Reply provides end-to-end support for Cloud Strategy and Migration services, Cloud Applications Development and Cloud Service Management.
In contrast to traditional hpc/htc, cloud-native htc fully leverages the on-demand resource elasticity of the cloud and existing robust performant cloud-native services – to reduce costs, improve scalability, agility and drive innovation
Significantly reduces OPEX due to the ease of management with AWS familiar services,
eliminates 3rd party and software licence costs
Higher job throughput Vs Legacy HPC: >10,000 tasks vs ( <2,000 )
Round trip latency ~0.1s with improved orchestration, scheduling & management
Rapidly created environments (~15 minutes) aligned with specific business units with Modular Architecture & Infrastructure as Code
Setting the stage for transformative Algorithm Modernisation
Reply is a Premier Consulting and a Managed Service partner of Amazon Web Services, with 10 AWS competencies, including Financial Services, Data & Analytics , Machine Learning, Security, Migration Consulting and a winner of a number of AWS partners’ awards.
With 20 years of experience of working with Grid Computing and HPC, with constant focus on innovation, Reply is currently collaborating on Quantum computing initiatives with main universities and public research centres such as London Imperial Collage and Bocconi University.
Each customer ‘s journey depends on the customer’s starting point, business priorities and ambition.
Reply works with customers to de-risk their cloud native htc journey breaking it down into manageable steps, leveraging our accelerators and focusing on delivering tangible value to the business at every step.
A customer used Reply ‘s Managed Service offering to migrate their legacy HPC cluster on-premise to the AWS Cloud (Windows Environment) implementing a Landing Zone including all Security and Compliance policies. This resulted in 30% cost savings achieved without any code changes, improvement in time to market and agility .
A global banking and financial services company needed to address their Risk Data Aggregation andreporting capability for compliance. Reply Implemented a Hadoop Data Lake with Spark in Scala ingestingtens of TB of data from external sources and a risk evaluation engine defining rules and logics for functional requirements during the ingestion. The solution enabled a faster risk evaluation combined with the reduced storage and computation costs.
A major bank wanted to optimise their collateral risk exposure process, collateral payments.Reply delivered a Quadratic Unconstrained Binary Optimization (QUBO) model using real time data techniques and leveraging Quantum inspired computing implemented on classical hardware exploiting massive parallelization . A faster, more accurate and flexible solution was delivered enabling reduced costs of collateral payments and agility in addressing the collateral exposure in the future.