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

BittWare’s TeraBox Bulks Up FPGA Processing for Trading Scale and Analytics

Subscribe to our newsletter

FPGA specialist BittWare has introduced TeraBox, an appliance that delivers up to 16 FPGAs, and targeted at high scale trading and analytics applications.

TeraBox supports up to eight BittWare S5-PCIe-DS cards, each of which hosts two Altera Stratix V FPGAs, 64 gigabytes of RAM and 16 10gE network ports. Thus, each 5U appliance can scale to 16 FPGAs, 512GB of RAM and 128 10gE ports. The appliance can also optionally host a traditional x86 processor, perhaps for monitoring or co-ordination functionality.

According to BittWare’s vice president of systems and solutions Ron Huizen, TeraBox has two likely applications in the financial markets:

* For trading systems where the entire application logic is hosted on the FPGA card, TeraBox offers high scale in one appliance, thus reducing cost of deployment compared with server-hosted approaches. Algorithmic trading and real-time risk control are applications that can likely be deployed more cost effectively with TeraBox.
* For analytics applications, such as algo back testing, pre-trade analytics and risk managemnt, TeraBox’s multiple FPGAs can work together to provide parallelised performance. Connectivity between the FPGAs can be acheived via the chassis PCIe bus, or via the 10gE network.

The latter analytics example would be to some extent breaking new ground for FPGAs, which typically have been dedicated to specific functions, such as data feed processing. For the most part, parallel analytics applications have been targeted at multi-core x86 processors, or at GPUs.

A key to deploying FPGAs for parallel applications will be the introduction of the next version of the OpenCL programming framework. OpenCL 2.0 – the specification for which was released this July – calls for support for dynamic parallelism and shared virtual memory.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The future of market data – Harnessing cloud and AI for market data distribution and consumption

Market data is the lifeblood of trading, but as data volumes grow and real-time demands increase, traditional approaches to distribution and consumption are being pushed to their limits. Cloud technology and AI-driven solutions are rapidly transforming how financial institutions manage, process, and extract value from market data, offering greater scalability, efficiency, and intelligence. This webinar,...

BLOG

Buy & Build: Don’t Hire Picasso to Paint Your Living Room

On this episode of FinTech Focus TV recorded at A-Team Group’s Buy AND Build Summit, Toby Babb of Harrington Starr sits down with Paul Humphrey, CEO and Elliot Banks, CPO of BMLL to discuss how historical market data is reshaping trading technology. From the shift from build vs buy to build on trust, to why...

EVENT

AI in Capital Markets Summit London

Now in its 2nd 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

RegTech Suppliers Guide 2019

Welcome to our brand new RegTech Suppliers Guide. This unique guide provides detailed data profiles on close to 100 suppliers in the RegTech world, offering you an unrivalled selection of solutions for your most pressing financial regulatory challenges. The aim of the A-Team’s RegTech Suppliers Guide is to steer you through this complex marketplace, offering...