Hammerspace, SourceCode and GigaIO partner to transform edge AI

Hammerspace, SourceCode, and GigaIO partner to transform edge AI data processing

Hammerspace, SourceCode and GigaIO partner to transform edge AI As a tech journalist, Zul focuses on topics including cloud computing, cybersecurity, and disruptive technology in the enterprise industry. He has expertise in moderating webinars and presenting content on video, in addition to having a background in networking technology.


Hammerspace has announced an innovative leap forward: its Global Data Platform can now process, store, and orchestrate data in edge compute environments, potentially revolutionising data handling and AI capabilities at the edge.

This innovative solution combines Gryf, the first-ever suitcase-sized AI supercomputer co-designed by SourceCode and GigaIO, with Hammerspace’s Global Data Platform. This powerful combination brings unprecedented levels of shared AI processing power to any location, including those operating with limited or no networking infrastructure.

The solution is highly relevant for use cases such as capturing large map sets and other types of geospatial data in tactical edge environments for satellite ground stations and natural disaster response. Additionally, it provides an effective means of rapidly transporting and processing substantial amounts of data.

Before this solution, organisations faced the dilemma of either sending data to a data centre for processing and analysis or relying on edge environments constrained by the compute resources and storage capacities of non-GPU edge computing devices, which offer limited scalability. This approach hindered the ability to produce relevant results on-site and was greatly impeded without a data orchestration solution to facilitate the movement of data to GPUs in the data centre.

As articulated by Tony Asaro, Chief Strategy and Business Development Officer for Hammerspace, “Our customers and partners consistently tell us that data orchestration is a top priority for their AI workloads. Our ability to orchestrate data across remote data centres, clouds and edge environments transparently and online ensures that the data gets to GPU resources regardless of its physical location.”

Asaro further underscored that data orchestration will be a prominent topic in the forthcoming year and beyond, especially in AI use cases.

Gryf, a key component of this innovative solution, is a portable supercomputer in a ruggedised suitcase form factor, enabling rapid AI processing of time-sensitive data in the field, also referred to as a mobile fly-away kit. SourceCode and GigaIO announced Gryf earlier this quarter, and it will be available in the third quarter of this year.

Hammerspace can operate on a single Gryf appliance, alongside other software packages such as Cyber, geospatial, Kubernetes containerised applications, and other AI analytics packages. Hammerspace’s standards-based parallel file system architecture combines extreme parallel processing speed with the simplicity of NFS, making it well-suited for ingesting and processing the substantial amounts of unstructured data generated by sensors, drones, satellites, cameras, and other devices at the edge.

Notably, the full potential of Hammerspace is unlocked when multiple Gryf appliances are deployed across a distributed edge environment, enabling Hammerspace to interconnect multiple locations into a single Global Data Platform. Hammerspace data orchestration services facilitate the full utilisation of all available GPU resources to accelerate edge processing. This capability is particularly beneficial for AI at the edge, where constraints such as limited hardware, bandwidth, and connectivity pose common challenges.

Hammerspace data orchestration also streamlines the movement and migration of data when Gryf appliances are transported back to data centers for additional data analysis and long-term protection.

As aptly stated by Matt Ritter, Vice President of Engineering at SourceCode, “GPUs are data hungry, posing a significant challenge when you must enable onsite insight across multiple devices in a decentralised way, and with possibly inconsistent connectivity. Hammerspace helps solve this problem with efficient orchestration of distributed data and supercomputer-class data speeds. This also makes Gryf a great example of the SourceCode co-design model: seamlessly integrating best-of-breed technologies to solve hard problems for customers.”

Alan Benjamin, CEO of GigaIO, echoed this sentiment, stating, “We are excited to announce the integration of Hammerspace’s file system with Gryf, marking a significant leap forward in our mission to drive edge AI capabilities. This partnership not only enhances Gryf’s capabilities by leveraging Hammerspace’s Global Data Platform but also sets a new standard for data accessibility and orchestration from the edge.”

This innovative solution has the potential to transform data processing and AI capabilities at the edge, enabling organisations to unlock insights and drive innovation in even the most remote and challenging environments.

Want to learn more about edge computing from industry leaders? Check out Edge Computing Expo taking place in Amsterdam, California and London. 

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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