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Break the Bottleneck: How FPGA Trading Can Enable Scalable Market Data Infrastructure

A Smarter Path for Brokers Facing Power, Space, and Performance Pressure

Co-location space is limited. Power costs are climbing. Yet market data volumes show no signs of slowing. For many firms, the instinct has been to add more: more cores, more servers, more complexity. In today’s environment, more isn’t scalable, especially as firms explore FPGA trading as a path to reduce footprint and improve throughput.

Legacy architectures weren’t built for today’s volumes. Systems originally designed to process feeds as quickly as possible are now passing that burden downstream – flooding smart order routers (SORs) and trading applications with untailored data they can’t efficiently manage. What started as a market data problem has become a trading infrastructure problem. 

Exegy’s newest solution was created to solve it. With centralized, hardware-accelerated processing, it delivers only the data each application needs, right when it needs it.

Why Legacy Trading Infrastructure Fails in Modern Markets 

When trading infrastructure lags market demand, the financial impact is immediate — and compounding. Firms experience increased slippage as they struggle to react to market-moving events, missing optimal prices and falling behind competitors who remain fully active. In an era shaped by FPGA trading and hardware-accelerated architectures, firms relying solely on legacy software stacks are increasingly disadvantaged.

Outages and latency spikes, once rare, are now routine. When a server loses sync with the exchange, trading often must pause until full visibility is restored — especially in agency brokerage settings where best execution must be demonstrated. During that blackout window, competitors continue quoting and trading, creating missed opportunities and measurable P&L erosion.

For agency brokers, this isn’t just a technology problem — it’s a business risk. Underperforming infrastructure lowers execution quality, which in turn depresses rankings in client algo wheels. Lower rankings lead to reduced institutional flow, worsening exchange tiering, increasing execution fees, and creating margin pressure. Over time, the cycle compounds, turning what could be solved with hardware acceleration in trading into a persistent competitive disadvantage.

This performance-to-flow feedback loop either accelerates growth or accelerates losses:

High-quality execution

  • Boosts rankings, earns more flow, and improves your exchange tier, lowering costs and boosting profitability. 

Low-quality execution

  • Caused by latency spikes, outages, or stale data degrades rankings, disrupts client flow, and increases costs. Ultimately, it damages both revenue and reputation. 

In today’s markets, every microsecond matters. Flooding SORs with untailored incremental updates adds latency at the most critical point in the trade lifecycle, weakening execution performance. Minor delays in book-building or market data processing ripple downstream — damaging client confidence, hurting economics, and shrinking a firm’s competitive edge.

In response, many firms throw more servers at the problem. But this approach is expensive, space-constrained, and ultimately unsustainable — especially when FPGA solutions, FPGA offload, and other forms of trading acceleration hardware now offer a smarter, more scalable path to proper trading infrastructure optimization.

Why Legacy Architectures Can’t Compete with FPGA Trading in Today’s Market Data Environment

As market data volumes surge and volatility increases, firms continue relying on two familiar patterns to keep up: scaling horizontally or centralizing processing to reduce system strain.

1. Horizontal Scaling (Adding More Servers)

This once-effective approach now collapses under modern data rates. Adding more CPU-based servers increases footprint, power draw, cooling requirements, and operational complexity — without meaningfully improving throughput. The result? Diminishing returns, rising costs, and growing fragility in your market data pipeline. [Read more in our deep dive on embedded market data processing

2. Centralized Processing (Traditional Ticker Plants)

Centralized architectures reduce redundant workloads, but they introduce new bottlenecks: jitter, fan-out delays, API overhead, and higher latency during peak bursts. As data volumes and message rates rise, centralized software-based systems struggle to maintain deterministic performance. [Read more in our deep dive on centralized market data processing

The Core Problem

Both approaches were designed for a different era of market structure. Today’s market data volumes, burst characteristics, and multi-venue quoting intensity expose hard limits in legacy infrastructure. Without FPGA trading, hardware acceleration in trading, or FPGA offload, neither scaling strategy can sustainably meet the demands of modern markets.

Legacy solutions fail because software alone can’t keep pace with the physics, power, and space constraints of Tier-1 co-lo environments.

How Exegy NexusTM Powers FPGA Trading at Scale

Exegy Nexus™ delivers high-performance market data processing for firms that must keep pace with exploding market data volumes without overwhelming SORs, pricing engines, routing logic, or downstream trading systems. Nexus meets the demands of an era where traditional architectures no longer scale and applies FPGA trading principles and hardware acceleration in trading to reshape how firms process, filter, and deliver market data.

Unlike legacy software-based stacks that push every incremental update through the full trading ecosystem, Nexus performs parsing, book building, and filtering at the hardware layer. This transforms high-volume incremental updates into clean, application-ready snapshots—reducing CPU usage, cutting downstream noise, and keeping trading infrastructure responsive even during volatile market bursts. 

How FPGA Trading Offload Transforms Market Data Infrastructure

Exegy Nexus™ uses an offload-first architecture that blends centralized processing with distributed, ultra-efficient delivery—powered by FPGA offload and trading acceleration hardware.

Here’s how the pipeline functions:

1. Centralized Hardware Processing

The appliance ingests and normalizes all direct feeds, maintaining full-depth order books entirely in hardware. This eliminates the jitter and CPU bottlenecks common in software-only ticker plants.

2. FPGA-Accelerated Filtering

Instead of pushing every incremental update downstream, Nexus applies application-specific filters in hardware, ensuring each system receives only the required updates—not the full firehose.

3. High-Performance NIC Delivery

The NexusNIC assembles filtered book views into real-time snapshots and publishes them directly into shared memory. This:

  • Removes unnecessary processing
  • Minimizes per-core load
  • Improves determinism across the stack
  • Supports trading infrastructure optimization at scale

Even during peak activity, Nexus keeps infrastructure load low and stable—allowing firms to remain fully operational without costly overprovisioning.

Conclusion: Why FPGA Trading Eliminates Infrastructure Compromises

In a world of rising data volumes and shrinking margins, firms can’t afford to waste cores, space, or time on legacy architectures that fail to meet today’s demands. Nexus changes the equation by applying the principles of FPGA trading and hardware acceleration in trading to deliver a market data pipeline that is faster, more efficient, and far more scalable than traditional software-only systems.

By offloading the heaviest workloads into dedicated hardware and optimizing distribution at the NIC layer, Nexus helps firms reclaim rack space, reduce power consumption, and strengthen end-to-end trading infrastructure performance. Whether you’re consolidating global market data systems or trying to extract more efficiency from limited co-lo space, Nexus provides a smarter, more future-proof path to scale.

Nexus is now available for deployment. Pre-orders are open, with appliances shipping on a first-come, first-served basis. If you’re ready to reduce footprint, improve determinism, and modernize your trading infrastructure, click here to schedule your assessment and see how Nexus can accelerate your path forward.