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Hammerspace for Financial Services

Gain a Competitive Edge by Unifying Siloed Data and Accelerating AI/ML Pipelines
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Siloed Data is Slowing Financial Innovation

Financial services organizations face growing pressure to harness massive volumes of unstructured data while ensuring compliance and resiliency. Key challenges include:

  • Explosive data growth from trading systems, market feeds, and customer interaction, straining legacy infrastructure and budgets.
  • AI, machine learning, and agentic workloads that demand global access across siloed data stores to detect fraud, model risk, and power algorithmic trading.
  • Disconnected data silos across business units, regions, and decades of M&A inhibit collaboration and insight, and make data governance more complex.
  • Rising energy and infrastructure costs as teams strive to leverage elastic cloud compute without sacrificing performance or control.

Traditional storage architectures can’t keep pace. They fragment data, limit agility, and make compliance more complex—ultimately slowing time-to-insight and innovation.

Unify, Automate, and Accelerate Financial Data to Drive Your Business Forward

Hammerspace offers an end-to-end, high-performance data platform for capturing, processing, and analyzing the large unstructured data sets that are critical to the financial services industry. And it does this without requiring you to migrate data off of your existing storage systems.

Hammerspace unifies siloed data by creating a single multi-protocol global namespace that spans existing and new storage across one or more locations and clouds. And Hammerspace data orchestration automates the movement of data so enterprises can adapt existing infrastructure to feed inferencing and agentic AI pipelines and data analytics workflows.
API, MCP
pNFS w/ Flex Files
S3, NFS, SMB
CSI Plugin

Unified Data Plane

Multi Protocol Access • On-prem and Cloud • Data In Place Access

Automated Data Services

Actionable Metadata • Objectives-based Policies • Data Protection

Accelerated Data Orchestration

Moves data to high-performance, other tiers, sites, and clouds

Silo-less Data Storage

High-Performance AI Storage • File • Object • Cloud • 3rd Party
Edge
NAS
Object
Cloud
With Hammerspace, financial organizations can modernize data access, automate data movement, and ensure every workload - from AI workloads to quantitative research - runs at maximum performance wherever compute resources reside, regardless of existing storage silo limitations.
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Why Hammerspace

Common Use Cases

Hybrid-Cloud Operations

Enable financial institutions to run workloads wherever needed — on-prem or in any cloud — with seamless data mobility that maintains compliance and accelerates innovation.

High-Performance Computing

Provide the high-throughput, low-latency data access required for large-scale quantitative modeling, risk simulations, and other HPC workloads common in financial services.

AI/ML Data Pipelines

Ensure GPU clusters and data science teams have fast, consistent access to distributed datasets to accelerate model training, improve accuracy, and streamline AI-driven decisioning.

Global Data Unification & Governance

Unify data across silos, regions, and clouds into a single global namespace to strengthen governance and enable secure, collaborative analytics without duplicating datasets.

Get Started with Hammerspace Today

See how Hammerspace can unify all your data, accelerate your AI workloads, and deliver results faster.
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