-

DDN Wins 2025 Editors’ Choice Award for “Best Use of HPC in Financial Services”

Recognized for Enabling Jump Trading’s Independent Quant Innovation and 10x Performance Gains Through DDN’s AI-Ready Infrastructure

ST. LOUIS--(BUSINESS WIRE)--DDN, the global leader in AI and data intelligence solutions, today announced it has been honored with the 2025 Editors’ Choice Award for “Best Use of HPC in Financial Services” for its transformative work with Jump Trading, a leading algorithmic and high-frequency trading firm.

The award recognizes DDN’s impact in helping Jump Trading empower its quantitative analysts to operate independently while dramatically accelerating compute efficiency and data access. Leveraging DDN’s data intelligence platform, Jump achieved a 10x reduction in processing latency, enabling instant analytics, parallel workloads, and faster innovation cycles, delivering a decisive competitive advantage in the ultra-fast world of modern trading.

“DDN QLC systems are a really important part of that environment to get IO to our researchers as quickly as possible,” said Alex Davies, Chief Technology Officer at Jump Trading.

Empowering Independent Quant Innovation

Jump Trading’s culture of decentralized innovation allows its quants to experiment freely, develop their own models, and operate at maximum productivity. However, this autonomy created unique infrastructure demands — requiring an environment capable of supporting diverse, concurrent workloads with no bottlenecks and near-zero latency.

By adopting DDN’s data intelligence platform, Jump created a parallel processing foundation that supports both independent exploration and production-level AI training—without central control or workflow constraints.

Business Outcomes

  • 10x reduction in processing latency, accelerating research and trading model iteration
  • Parallel protocol support enabling simultaneous workloads across hundreds of nodes
  • Instant results upon deployment, increasing quant productivity and innovation speed
  • Sustained competitive advantage in algorithmic trading through faster insight-to-execution cycles

Transforming Financial AI at Scale

As financial institutions increasingly apply AI, quantitative analytics, and real-time modeling, DDN’s solutions provide the high-throughput, intelligent data infrastructure needed to power the next generation of financial services. From risk modeling and fraud detection to portfolio optimization and ESG modeling, DDN’s AI Factory architecture enables financial firms to move from traditional HPC to fully integrated AI and data-driven decision engines.

“Financial services are operating at AI speed, and that requires HPC-class performance with enterprise simplicity,” said Alex Bouzari, CEO and Co-founder at DDN. “Our partnership with Jump Trading demonstrates how DDN’s data infrastructure solutions allow innovation to thrive while delivering measurable business advantage. This award underscores DDN’s leadership in enabling the world’s most data-intensive organizations to compete smarter and faster.”

Why FSI Leaders Choose DDN

  • Proven in the world’s most demanding AI and HPC environments
  • Unified data architecture that scales effortlessly from on-prem to hybrid cloud
  • Parallel, low-latency performance ideal for quantitative modeling and high-frequency trading
  • Trusted by the top 10 global banks and investment firms for AI-scale performance and reliability

Discover how to scale your AI with DDN at https://www.ddn.com/ai-powered-trading/.

About DDN

DDN is a leading AI and data intelligence company, empowering organizations to maximize the value of their data with end-to-end HPC and AI-focused solutions. Its customers range from the largest global enterprises and AI hyperscalers to cutting-edge research centers, all leveraging DDN’s proven data intelligence platform for scalable, secure, and high-performance AI deployments that drive 10x returns. Follow DDN: LinkedIn, X, and YouTube.

Contacts

Media Contact:
Amanda Lee, VP, Marketing – Analyst and Public Relations
amlee@ddn.com

DDN


Release Versions

Contacts

Media Contact:
Amanda Lee, VP, Marketing – Analyst and Public Relations
amlee@ddn.com

Social Media Profiles
More News From DDN

DDN Unveils Next-Generation AI & HPC Data Intelligence Innovations at ISC 2026, Redefining Performance, Efficiency, Security, and Scale for Enterprise AI Factories

HAMBURG, Germany--(BUSINESS WIRE)--DDN, the global leader in AI and data intelligence solutions, today announced a major expansion of its AI & HPC data platform portfolio at ISC 2026, delivering breakthrough innovations across performance, efficiency, security, and cloud-scale AI infrastructure. The announcements include the launch of the new AI400X3M high-performance appliance, the official release of DDN’s distributed KV Cache acceleration technology integrated with NVIDIA Dynamo, and new...

DDN Advances Secure AI Factories with AI-Native Data Intelligence Infrastructure at NVIDIA GTC Taipei at COMPUTEX 2026

TAIPEI, Taiwan--(BUSINESS WIRE)--DDN, the global leader in AI and data intelligence solutions, today announced new advancements to its AI data intelligence platform designed to help enterprises deploy agentic AI faster, strengthen governance and security, reduce operational complexity, and maximize GPU efficiency across enterprise-scale AI factories. The innovations deliver real-time observability, policy-based control, secure multi-tenant isolation, and AI-native data orchestration optimized f...

Wendy Stusrud and Amanda Lee of DDN Spotlighted on the 2026 Women of the Channel List

LOS ANGELES--(BUSINESS WIRE)--DDN, the world’s leading AI data platform provider, proudly announced today that Wendy Stusrud, VP, Worldwide Channel Sales, and Amanda Lee, VP, Marketing, have been recognized on the prestigious 2026 Women of the Channel list by CRN, a brand of The Channel Company. This annual CRN list celebrates women from vendors, distributors, solution providers, and other channel-focused organizations who make a positive difference in the IT ecosystem. The 2026 Women of the Ch...
Back to Newsroom