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拉斯維加斯,6 月 16-18 日
Pure//Accelerate® 2026

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Man AHL Accelerates Time-to-market with Everpure Data Hub

Investment management firm selects FlashBlade to drive investment modeling for its $24 billion portfolio.

Summary

Man AHL is a pioneer in the field of systematic quantitative investing. Its entire business is based on creating and executing computer models to make investment decisions. The firm has adopted the Everpure data hub solution to deliver the massive storage throughput and scalability required to meet its most demanding simulation applications.

Industry

Financial Services

GEO

United Kingdom

Use Cases

  • Applications - Python, Java and Apache Spark®
  • Database – In-house development

Website

Customer

Man AHL sees significant savings from the simplicity of operation
The company benefits from more than FlashBlade’s raw performance, and the Everpure plug-and-play capabilities add to operational efficiency.

Challenges

One of the firm’s highest priorities was delivering a robust and ever-more-performant technology platform as a means of optimizing the performance and productivity of its quants and technologists. The demands on technology infrastructure at the firm were significant

  • Storage capacity was doubling every 18 months.
  • Legacy storage architecture was not adequately supporting developers and quantitative researchers.
  • Simulations required greater IOPS and bandwidth than legacy storage could provide.
  • The business was unable to fully leverage new technologies such as Spark and AI.

Results

Business Transformation

  • Quantitative researchers can now run more simulations faster, accelerating time-to-market for new investment models and raising the probability of improved returns for investors.

IT Transformation

  • Up to 600,000 IOPS and 6GBs bandwidth provide more than sufficient processing power for the most demanding simulations.
  • Quantitative researchers benefit from 10x-20x processing improvement.
  • Highly scalable Everpure FlashBlade™ architecture provides an on-demand path for future growth in capacity.    

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Select a challenge, or skip and build your own use case.
迎向未來的虛擬化策略

因應所有需求的儲存方案

任意規模皆可實行 AI 專案

資料管道、訓練、推論專用的高效能儲存裝置

防護資料遺失問題

保衛資料的網路彈性解決方案

降低雲端作業成本

Azure、AWS 與私有雲專用的高成本效益儲存裝置

加速應用程式與資料庫效能

低延遲儲存裝置,達成應用程式高效能

降低資料中心耗能與空間使用

高效資源運用的儲存裝置,改善資料中心運用率

Confirm your outcome priorities
Your scenario prioritizes the selected outcomes. You can modify or choose next to confirm.
Primary
Reduce My Storage Costs
Lower hardware and operational spend.
Primary
Strengthen Cyber Resilience
Detect, protect against, and recover from ransomware.
Primary
Simplify Governance and Compliance
Easy-to-use policy rules, settings, and templates.
Primary
Deliver Workflow Automation
Eliminate error-prone manual tasks.
Primary
Use Less Power and Space
Smaller footprint, lower power consumption.
Primary
Boost Performance and Scale
Predictability and low latency at any size.
What’s your role and industry?
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Select your industry
Financial services
Government
Healthcare
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Telecommunications
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Which team are you on?
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Defines the strategy and the decision making process
Infrastructure and Ops team
Manages IT infrastructure operations and the technical evaluations
Business leadership team
Responsible for achieving business outcomes
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Owns the policies for security, incident management, and recovery
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Owns the business applications and application SLAs
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Databases
Oracle, SQL Server, SAP HANA, open-source

Key benefits:

  • Instant, space-efficient snapshots

  • Near-zero-RPO protection and rapid restore

  • Consistent, low-latency performance

 

AI/ML and analytics
Training, inference, data lakes, HPC

Key benefits:

  • Predictable throughput for faster training and ingest

  • One data layer for pipelines from ingest to serve

  • Optimized GPU utilization and scale
Data protection and recovery
Backups, disaster recovery, and ransomware-safe restore

Key benefits:

  • Immutable snapshots and isolated recovery points

  • Clean, rapid restore with SafeMode™

  • Detection and policy-driven response

 

Containers and Kubernetes
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Key benefits:

  • Reliable, persistent volumes for stateful apps

  • Fast, space-efficient clones for CI/CD

  • Multi-cloud portability and consistent ops
Cloud
AWS, Azure

Key benefits:

  • Consistent data services across clouds

  • Simple mobility for apps and datasets

  • Flexible, pay-as-you-use economics

 

Virtualization
VMs, vSphere, VCF, vSAN replacement

Key benefits:

  • Higher VM density with predictable latency

  • Non-disruptive, always-on upgrades

  • Fast ransomware recovery with SafeMode™

 

Data storage
Block, file, and object

Key benefits:

  • Consolidate workloads on one platform

  • Unified services, policy, and governance

  • Eliminate silos and redundant copies

 

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