As artificial intelligence (AI), high-performance computing (HPC), and data-intensive applications continue to reshape the world, the underlying storage infrastructure that feeds these technologies must evolve beyond legacy architectures. Today’s systems are challenged by exponential data growth, performance bottlenecks, and the rising costs of resources like power and space. Addressing these challenges demands a new approach, one rooted in open standards, optimized storage architectures, and high-performance data processing units (DPUs).
Hammerspace and Xsight Labs are advancing this vision, along with the broader Open Flash Platform (OFP) community, to empower organizations with scalable, efficient, and sustainable data solutions.
Why Open Standards Matter in Data Storage
At the heart of modern data ecosystems lies the need for interoperability. Open standards such as NFS, Linux, and open metadata interfaces ensure that applications and compute resources can access data without vendor lock-in or proprietary constraints. Systems built on open standards are more flexible, easier to integrate, and far more future-proof. For organizations competing in AI and HPC arenas, this translates into:
- Reduced complexity: Standard protocols eliminate the need for custom drivers or siloed storage stacks, enabling seamless data access across disparate systems.
- Broad ecosystem support: Open standards engage a larger community of developers and technology partners, accelerating innovation and compatibility.
- Scalability and flexibility: As data grows in volume and importance, systems that adhere to widely adopted standards are easier to scale both horizontally and vertically.
The Hammerspace Data Platform exemplifies this philosophy by leveraging industry-standard protocols and a global parallel file system to unify distributed data across sites and clouds, eliminate inefficient silos, and automate orchestration without locking customers into proprietary frameworks. Their focus is not only on simplifying infrastructure but efficiently accelerating performance for demanding workloads.
The DPU Revolution and Its Role in AI Storage
DPUs are fundamentally transforming how data flows between storage and compute. Unlike traditional architectures, which rely heavily on x86 servers for data movement and protocol handling, DPUs offload these tasks to specialized hardware optimized for networking and storage functions. The result is dramatic:
- Unprecedented throughput: Xsight’s E1 800G DPU offers unprecedented performance, enabling GPUs to access flash storage at up to 800 Gbps across Ethernet networks. The E1 is first and only 800G DPU on the market.
- Flattened data paths: With the ability to bypass legacy storage servers and their associated overhead, DPUs enable a direct, high-speed storage interface that eliminates bottlenecks and streamlines performance.
- Improved efficiency and cost savings: With DPUs, enterprises can significantly reduce energy use and total cost of ownership while extending storage density and operational life.
Xsight Labs is at the forefront of the DPU revolution, setting the pace for how data-centric computing will evolve. Hammerspace’s decision to partner with Xsight Labs, leveraging the E1 DPU in its OFP–based design, underscores that leadership. Together, they are showing how DPUs can unlock the next generation of AI warm-storage architectures, where compute and storage are tightly integrated over open, high-bandwidth networks.
Combining Open Standards with DPUs: A New Architecture for AI
Traditional storage architectures have long relied on a layered stack: storage media, servers, networking, and compute elements. This stacking introduces latency, complexity, and inefficiency, particularly for AI workloads that demand consistent, high-speed data access. These challenges introduce artificial costs and consume excess resources to power and cool the server-based architectures of today.
Fixing this is as easy as 1-2-3:
- Flattening this stack
- Removing middlemen
- Enabling direct, open-standard connectivity between compute and storage
Hammerspace and Xsight Labs’ collaboration on this OFP design embodies this shift. By integrating Hammerspace’s orchestration software with Xsight Labs’ high-performance DPUs, the partnership delivers an architecture where:
- Flash storage connects directly to the Ethernet network, eliminating expensive, power-hungry legacy servers.
- GPUs can directly access data stored on flash devices, accelerating AI training and inference without traversing complex protocol layers.
- Open standards like NFS, Linux and Ethernet are the foundation for interoperability, portability, and long-term sustainability.
This open, flattened network architecture, coupled with the OFP hardware design that has been optimized for flash storage efficiency, not only boosts performance but also significantly lowers total cost of ownership and energy consumption, making it a compelling choice for organizations building gigawatt-scale AI infrastructure.
DPUs are the Future of AI
The industry is at an inflection point. As AI workloads scale and data proliferates, the assumption that legacy storage architectures are ‘good enough’ no longer holds. It’s time to embrace an infrastructure built for speed, agility, openness, and efficiency.
Open standards remain a crucial enabler of innovation. They empower organizations to adopt best-of-breed technologies, avoid vendor lock-in, and future-proof investments. At the same time, DPUs represent a seismic shift in how data processing and storage interaction is handled by offloading critical functions from general-purpose CPUs and enabling direct, high-performance data flows.
Together, open standards and DPUs deliver an infrastructure that:
- Accelerates AI workloads by removing bottlenecks and enabling direct data access.
- Simplifies data architecture by eliminating unnecessary layers and standardizing interfaces.
- Reduces costs and energy consumption by leveraging efficient network-centric data paths.
- Supports innovation at scale, enabling organizations to deploy data-intensive applications without compromise.
Through our partnership, Hammerspace and Xsight Labs are driving this architectural evolution forward, helping enterprises and research institutions alike redefine what’s possible in AI, HPC, and beyond.
Watch the video below to learn more