Cutting Costs and Latency in 4 Weeks: Inside a Trading Firm’s GPU Upgrade
When it comes to building trading infrastructure, the choice between cloud and on-premise GPUs is not just about technology. It’s about speed, cost, and competitive advantage. For real-time analytics and latency-sensitive trading strategies, the wrong infrastructure can slow performance, increase costs, and hurt profitability.
Lynx Trading Technologies, a New Jersey-based trading firm, recently faced these challenges. Their analytics and ML workloads were running in the cloud, but monthly costs fluctuated dramatically, performance suffered during peak market activity, and they had limited control over tuning their environment. They needed consistent performance, ultra-low latency, and full control.
In just four weeks, Arc Compute delivered a fully customized on-premise NVIDIA HGX B200 deployment that solved all of those issues.
Why Trading Firms Are Shifting to On-Prem GPUs
Cloud infrastructure is a fast and flexible entry point for GPU workloads. But in finance, its limits are quickly exposed. Costs spike during market volatility, performance varies under heavy loads, and hardware-level optimization is out of reach. For high-frequency trading, where milliseconds matter, colocated infrastructure delivers low latency, predictable cost, and direct control.
The Move: From Cloud to NVIDIA HGX B200 in 4 Weeks
Arc Compute partnered with Lynx Trading to design and deliver a tailored system aligned with their performance goals and budget.
Hardware Delivered:
- 2x NVIDIA HGX B200 8-GPU systems (Air-Cooled) manufactured by Aivres
System Specs:
- 2× Intel Xeon 6767P 64-Core CPUs
- 2 TB DDR5 ECC Memory
- 8× NVIDIA 400 GbE ConnectX-7 NICs
- High-speed NVMe storage for real-time throughput
- 3-Year Next Business Day Onsite Warranty & Support
Deployment Highlights:
Location: High-security colocation facility in Secaucus, NJ, just miles from major exchanges
Timeline: Four weeks from quote approval to full installation
Support: Deployment led by Lynx engineers with hands-on support from Arc Compute’s manufacturing partner, Aivres
Why NVIDIA HGX B200?
Arc Compute recommended the NVIDIA HGX B200 for its ability to support AI-driven trading workloads at scale:
Massive compute capacity for real-time analytics and model execution
180 GB of HBM3e memory to manage large datasets without slowdowns
High bandwidth to process market data streams instantly
Low-latency networking to execute trades faster
Future-ready architecture to scale into more complex models and strategies
Compare NVIDIA GPU options to see how the B200 compares to other models.
The Results
With Arc Compute’s solution, Lynx Trading achieved:
- Lower latency by moving infrastructure closer to exchanges
- Stable, predictable costs by replacing variable cloud spend with fixed capital investment
- Full control for optimizing both hardware and networking
- High reliability through dedicated infrastructure and warranty-backed support
“Arc Compute made the entire process smooth, from quoting to delivery. Their team was responsive and knowledgeable and helped us get the right configuration. The delivery and support have been excellent end-to-end.”
Samuel Vasilevskiy, Datacenter Engineer, Lynx Trading
Trends in Trading Technology
Lynx’s move reflects a broader trend across the financial sector:
XTX Markets is building a new campus in Finland, expected to provide 22.5 MW of GPU-powered compute capacity to fuel AI-driven trading.
ICE is incorporating Reddit sentiment data, leveraging over 1 billion monthly posts and comments for alternative market insight.
According to Traders Magazine, firms with steady, high-volume compute needs are increasingly turning to on-prem GPUs for predictable performance and cost.
The takeaway is clear: when microseconds matter, owning your infrastructure creates a competitive edge.
How Arc Compute Delivers Performance and Predictability
Lynx Trading’s transformation was the result of three critical ingredients: the right hardware, the right deployment model, and the right partner. Arc Compute specializes in helping trading firms:
- Select and configure GPUs for ultra-low-latency workloads
- Procure and deploy systems quickly in colocation facilities
- Optimize infrastructure for performance, cost, and scale
Whether you're leaving the cloud, upgrading your stack, or exploring hybrid models, we’re ready to help.
Contact us to learn how NVIDIA HGX B200 or other GPU platforms can give your trading infrastructure a strategic edge.
