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

Diablo’s Memory Channel Technology Reduces Flash Latency and Jitter

Subscribe to our newsletter

Memory technology specialist Diablo Technologies has introduced its TeraDIMM architecture, allowing Flash memory to be supported directly by the DRAM memory bus on servers, reducing latency and jitter for solid state disks. This approach from the Ottawa, Canada company is likely to be attractive for developers of trading applications, which leverage SSDs for such tasks as maintaining transaction state and audit trail data, and trade and quote time series, in a persistent manner.

To date, SSDs – which provide much higher performance than hard disks but still maintain data when power is switched off – have commonly been deployed via adding a PCIe card to a server. While PCIe is a high bandwidth bus, it is also fairly high latency, and prone to latency variances (jitter) as other PCIe devices – notable network I/O – typically share the PCIe bus and so contention can occur. Also, the number of PCIe card slots on server motherboards is generally limited, so that usually just a single PCIe SSD can be fitted into a server.

Working with SSD specialist Smart Storage Systems, Diablo has designed its Flash storage to work with the DDR3 memory bus that servers use to communicate between the CPU and DRAM. The Flash storage devices – 200GB to 400GB initially – are installed in the DIMM sockets on a server motherboard that might otherwise support DRAM. In a typical server, more than six terabytes of Flash can be supported, says Diablo’s vice president of marketing Kevin Wagner, though he notes that higher capacity is available in some servers with additional DIMM sockets.

Diablo reckons that compared to PCIe-based Flash, the memory channel approach reduces latency by more than 85%. It also provides very deterministic – virtually no jitter – communications, which improves the jitter performance characteristics of software applications – an important factor for low-latency trading systems.

Another benefit of the Diablo approach, says Wagner, is that blade servers – often deployed in low-latency co-lo data centres for reasons of compactness – can readily accept DIMM-format devices, whereas PCIe cards – if supported at all – generally need to be manufactured to a non-standard form factor, and so are expensive.

No operating system or application level changes are required to leverage the Diablo DIMM devices, since they are accessed like other SSDs as block disk storage. Wagner says that the company is working with a number of OEM and ISV vendors – he declines to name at this stage – to ensure widespread support for the technology, which is currently being tested by a number of customers, including Wall Street firms. When generally available, it will be available from Smart Storage.

As well as typical low-latency trading applications, the Diablo approach is also likely to find interest from those with big data analytics applications, since it supports several terabytes of fast, non volatile, storage per server.

Subscribe to our newsletter

Related content

WEBINAR

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

Date: 16 April 2026 Time: 9:00am ET / 2:00pm London / 3:00pm CET Duration: 50 minutes Unstructured data 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 signal from this data, many firms...

BLOG

BridgePort Launches BridgePort Analytics with AI-Driven Exchange Intelligence Assistant

BridgePort, the middleware coordination layer for off-exchange settlement (OES) in institutional crypto, has launched BridgePort Analytics, an exchange intelligence platform designed to support institutional trading firms operating in OES environments. The platform includes Bridget, an AI-powered assistant that allows users to query execution and venue data using natural language. According to the company, BridgePort Analytics...

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

The Global LEI System – A Solution for Entity Data?

The Global LEI System – or GLEIS – has been in development since the middle of last year. Development has been patchy at times, but much has been done, leaving fewer outstanding issues, but also raising new questions. What’s emerging is a structure for the GLEIS going forward, complete with a mechanism for registering and...