Fixnetix Expands Global Managed Services Capability with NovaSparks FPGA Matrix Feed Handlers

London - 2 April 2012

Nanosecond execution meets the fastest market data processing speeds available.

Fixnetix and NovaSparks announced today a strategic alliance to deliver a managed FPGA market data service for exchange collocation venues in the U.S. and Europe. The service will use the NovaSparks FPGA Market Data Matrix© feed handlers to offer customers the most predictable, lowest latency market data available in the market. This can be combined with Fixnetix iX-eCute FPGA Market Gateways for execution services.

Fixnetix provides global managed services for market data, trading and risk control to leading banks, hedge funds and proprietary firms. NovaSparks is dedicated to applying FPGA technologies to Capital Markets and offers the fastest Feed Handlers commercially available, giving trading firms nanosecond, deterministic market data processing speeds.

“Fixnetix responds to customer demands for the fastest and most efficient solutions; NovaSparks FPGA Market Data Matrix greatly adds to our product offerings ,” says Hugh Hughes, Chief Executive of Fixnetix. “Forming strategic partnerships with leading technology companies such as NovaSparks are a key component of the Fixnetix global growth plan as we continue to innovate and support the financial trading community.”

“We are proud Fixnetix selected NovaSparks as their premium market data partner,” says Yves Charles, CEO NovaSparks. “Now our mutual customers are able to adopt leading edge FPGA solutions on a utility basis, quickly, and with a lower cost of ownership,” concludes Charles.

The financial community is increasingly demanding stronger outsourcing solutions that are both cutting edge while cost effective. This new alliance facilitates a one-stop-shop offering for both data and trading of electronic markets across all asset classes worldwide. With FPGA technology from both Fixnetix and NovaSparks “Tick to Trade” in single digit microseconds is now the new benchmark.

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