How Hammerspace Is Redefining Data Infrastructure for High-Performance Workloads
Options Direct
We are geared up for capital markets - low-latency infrastructure available on 5-7 day lead times.
In capital markets, data isn’t just important; it’s everything. Milliseconds determine profits and losses, and firms rely on data infrastructure that’s not just fast, but scalable, reliable, and intelligent. We at Options Direct are always on the lookout for transformative technologies that can give our clients an edge. As we serve a wide cross-section of the industry we often see trends that useful to our other clients and like to share this knowledge where possible.
One such technology that recently caught our attention and we've successfully rolled out to some of our clients is Hammerspace - a radical rethinking of data orchestration that aligns perfectly with the needs of HFT firms, quants, AI modellers, and data-intensive enterprises. In this blog post, we’ll introduce Hammerspace, explain what makes it different, and explore how it can reshape your data strategy - especially if your infrastructure spans multiple vendors, locations, or clouds.
The Problem: Data Gravity and Fragmentation
Today’s trading environments are incredibly complex. Data is spread across on-prem NAS, remote offices, public clouds, and edge locations. Each of these environments often operates in silos, with its own file systems, access protocols, and management tools. This fragmentation introduces latency, risk, and operational inefficiencies.
This “data gravity” problem - the difficulty of moving large volumes of data without disrupting operations - is especially critical in HFT environments. Moving data to compute (or compute to data) fast enough to keep up with algorithms requires infrastructure that is not just performant, but unified.
Traditional file systems and NAS architectures were never designed for this scale, speed, or level of automation.
How Hammerspace solves this problem
Hammerspace solves this by creating what it calls a Global Data Environment (GDE). In simple terms, it means users and applications experience local, low-latency access to data, regardless of whether that data is on-prem, in a remote data center, or in the cloud.
At the heart of Hammerspace is a Parallel Global File System that is vendor-agnostic, standards-compliant (NFS, SMB, pNFS, Kubernetes CSI), and completely decoupled from the physical storage layer . It can aggregate data across multiple storage systems - SSD, NVMe, HDD, cloud buckets - into a single global namespace.
So whether your quant model is running in London, your storage lives in Frankfurt, and your GPU cluster sits in AWS, all resources can see and act on the same data, with no copies or manual orchestration required.
Why this has been a Game Changer for our clients
1. True Parallel File Access for Distributed Workloads: Hammerspace’s architecture supports read/write performance across multi-site, multi-vendor environments. It scales linearly to support tens of thousands of clients and GPUs, which is critical for firms running backtesting, deep learning inference, and trade simulations.
2. Ultra-Low Latency with GPUDirect: For clients deploying GPU-accelerated compute, Hammerspace integrates with NVIDIA GPUDirect, enabling direct data paths from GPUs to storage using RDMA. This reduces I/O latency, eliminates bottlenecks, and maximises GPU utilisation - a must for AI-driven trading environments.
3. File-Granular Data Automation: Through Objective-Based Policies, firms can automate data movement based on file age, type, size, or even custom tags like “Project: Alpha” or “Compliance: Retain-7Y” . Want to automatically move archived tick data to lower-cost object storage after 30 days? Or instantly replicate all model snapshots tagged “critical” to a secondary DR site? It’s all configurable, no scripting required.
4. Data Protection Built-in: Large firms face strict compliance and audit requirements. Hammerspace includes:
These protections are all metadata-managed, making the recovery and audit process dramatically more efficient than traditional file-based methods.
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The Architecture: Designed for Scale and Simplicity
Hammerspace has introduced a Hyperscale NAS architecture that combines the parallelism of HPC file systems with the plug-and-play accessibility of enterprise NAS . This means:
Importantly, it uses pNFS with FlexFiles, a standard supported by all modern Linux distributions, to enable direct client access to any volume - dramatically increasing throughput and reducing network hops
Real-World Impact: 16,000-Node LLM Deployment
Hammerspace isn’t theory - it’s already been proven in extreme real-world deployments. A top 5 technology company recently deployed Hammerspace to orchestrate a 16,000-node GPU cluster with over 1TB/s of performance across hundreds of petabytes .
The use case? Training large language models across multiple sites and storage types with real-time ingest, checkpointing, and seamless home directory access for thousands of researchers.
If it works at this scale for AI, it’s more than ready for the demands of capital markets infrastructure.
Business Value for Options Direct Clients
For our clients, adopting Hammerspace means:
And because Hammerspace is software-defined, you can deploy it on existing infrastructure, bare metal, VMs, or in the cloud - no forklift upgrade required.
Final Thoughts: Data is the Edge
Hammerspace enables something we believe is vital for the future of finance: treating data not just as storage, but as a globally orchestrated, intelligent, instantly-available asset.
If you’re looking to eliminate silos, accelerate AI adoption, and future-proof your storage infrastructure - we’re ready to help you explore Hammerspace.