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: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

TRG Screen and S4 Partner to Deliver Integrated Market-Data Procurement and Operations

TRG Screen, provider of market data and subscription cost management technology, has formed a strategic partnership with S4 Market Data that brings together TRG’s operational managed-services platform with S4’s specialist procurement and negotiation expertise. The collaboration is designed to give financial institutions a single, integrated operating model across both the administrative and commercial layers of...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

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...