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

Artha Provides Glimpse into Planned Trading Appliances; Will Leverage FPGAs and Network Packet Processors

Subscribe to our newsletter

Startup Artha Financial Technology is emerging a little from stealth mode to provide a few details of what it plans to be shipping early in 2012. Founded by Manoj Viswambharan, former head of the FPGA development team for the Global Arbitrage Trading group at Credit Suisse, Artha plans to deliver trading system appliances based on FPGAs and multi-core network packet processors.

Viswambharan says that Artha is developing a range of ” ultra low-latency hardware accelerated DMA trading products,” so as to be able to provide a complete solution for trading, from 10 gigabit/second line rate market data feed handlers. to exchange gateways, with a “sub three microsecond tick to trade capability.”

Artha’s hybrid technology approach is the result of experience Viswambharan gained at Credit Suisse, including testing offerings from Celoxica and Redline Trading Solutons. In particular, he determined that solutions based solely on FPGAs suffered from slow development processes – he reckons FPGAs can require 4x to 100x longer development, compared to software based solutions. But he also found that embedded processor solutions lacked the performance and determinism of FPGAs.

Artha’s solutions are based on a combination of FPGAs and multi-core network packet processors. This leverages FPGAs for speed and determinism, and C-programmable network packet processors for their flexibility, and fast development capabilities

[Network packet processors are software-programmable microprocessors designed for networking-related functions, and typically found in network routers and switches, firewalls and monitoring appliances.]

The goal, says Viswambharan, is to not rely on a single technology, but to use the best combination of technologies to solve the underlying problems. The company also has the capability to design custom silicon (ASICs) to reduce latency even further in future generation products.

Artha is privately held and based in New Jersey. In Sanskrit, “Artha” means the duty of the head of a household to acquire wealth through honest means.  More – soon – at www.artha-tech.com.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are discovering that value is constrained not by models, but by the quality of the content, architecture,...

BLOG

Data Platform Modernisation: Why The Hardest Problems Are No Longer Technical

Capital markets firms pursuing data platform modernisation have largely solved the technical challenges of compute and storage, but the organisational, governance and architectural decisions surrounding those platforms remain stubbornly difficult, according to practitioners from Northern Trust, RBC Wealth Management and LSEG, speaking at a recent A-Team Group webinar entitled Data platform modernisation: Best practice approaches...

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

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...