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Pure FPGA Market Data Solutions

NovaSparks Platform

Get the facts on the NovaSparks Platform


When deterministic latency is critical, the goal is to avoid the bottlenecks of the CPU and maximize the use of FPGA’s throughout the whole market data processing cycle. The NovaSparks FPGA centric approach uses an expandable matrix of FPGA nodes that are linked with raw binary interconnections. This matrix architecture offers the flexibility to efficiently add FPGA resources as the need for processing increases.

In addition, to avoid bottlenecks that can occur with other system resources, each FPGA node comes with its own set of I/Os and memory. This modular matrix allows the system to grow proportionally across multiple feeds.

As a result, all functions of the market data parsing, book building, filtering and distribution can all be done in hardware with no bottleneck, irrespective of the number of feeds received, the rate of data or the number of downstream consumers.

The NovaSparks FPGA Market Data Matrix is rolled out using easy to deploy appliances.

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