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 Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

The Digital Last Mile: Reimagining Trader Workflows for the AI Era

As trading desks evolve, firms are turning to AI, interoperability, and modern technology platforms to create smarter, more connected environments that reduce friction for traders, enhance decision-making, and allow users to interact seamlessly with data and tools. However, one of the biggest hurdles they face is the sheer weight of the past. Decades of bespoke...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

MiFID II Handbook

As the 3 January 2018 compliance deadline for Markets in Financial Instruments Directive II (MiFID II) approaches, A-Team Group has pulled together everything you need to know about the regulation in a precise and concise handbook. The MiFID II Handbook, commissioned by Thomson Reuters, provides a guide to aspects of the regulation that will have...