About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Arista Debuts Application Switch; Embeds FPGAs Into Network for Lowest Latency

Subscribe to our newsletter

Sun Microsystems might have coined the the slogan “The Network Is The Computer” but it is Arista Networks that is today delivering on the concept with its first Application Switch, which embeds FPGA processing into a switch so that business logic can really be run in the networking fabric itself with lowest-latency data access.

With both Sun and Arista sharing a founder in Andy Bechtolsheim, it’s perhaps not surprising that the company has taken an inevitable leap in network intelligence by allowing business logic to run natively on its switch, bringing applications as close to data traffic as is possible. For the financial markets, that means execution algorithms, pre-trade risk, market data ticker plants, and other low-latency applications that might be made available across a networked enterprise.

Specifically, Arista is introducing the 7124FX – a version of its 7124SX low-latency switch, which marries 24 x 10gE network ports with an Altera Stratix V FPGA chip, 8GB RAM, 50GB solid state disk, and options for precision timing (including an atomic clock) for clock synchronisation.

By embedding FPGA processing into a switch as opposed to a network interface card (NIC), which is now pretty commonplace, it’s possible to architect systems where low-latency services can access data from or be made accessible across an enterprise network, instead of to applications running on a single server. How trading systems architects will adopt these intelligent switches alongside equally intelligent NICs is yet to be seen, but one can expect reference designs to emerge that take advantage of the best of both approaches.

Arista is partnering with the likes of Exegy and NovaSparks to deliver integrated appliances, while it is also working with Impulse C and Enyx to provide development environments and building blocks for firms looking to implement their own code in the switch.

Availability of the 7124FX is slated for this summer, with pricing of around $50K for a model without an atomic clock, and $60K with one.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

BLOG

Infrastructure Modernisation, Intelligent Workflows, Data Strategy and More: A Preview of TradingTech Summit London 2026

The conversation around trading technology has become more exacting over the past year. AI is moving into production environments. Data estates are being rationalised and rebuilt. Infrastructure decisions are increasingly shaped by resilience, transparency and regulatory pressure. Against that backdrop, A-Team Group’s TradingTech Summit London 2026 takes place at a time when firms are reassessing...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...