A lot has been written and discussed about the SSD supply situation, which you can read more about here. The net is that the market is facing:
- Substantial price increases on enterprise SSDs and other components
- Extended lead times on those same components
- Uncertainty in the face of conditions that are changing daily and weekly
It doesn’t appear this shortage will be short-lived, and will likely extend into 2027.
The Real Exposure is an Inflexible Data Architecture
Architectures that depend on a single media class become fragile when that media is constrained. Platforms that require very specific, or proprietary, hardware are exposed when allocation tightens. Consolidation strategies fall apart when expansion isn’t guaranteed.
The SSD shortage is simply revealing these structural weaknesses.
One of the things Hammerspace has been driving at since the founding of the company is that IT infrastructure is stuck in a “storage-centric” paradigm, where data is siloed in storage and the answer is “buy a new all-flash storage system.” That doesn’t solve the problem, and now some key premises have been exposed:
- An all-flash architecture doesn’t work when you can’t procure flash
- Putting all your data on a single platform with a narrow supply chain doesn’t work if you can’t source the hardware
🎬 If you missed our recent webinar, Surviving the SSD Supply Crisis in 2026 and Beyond with Omdia and Hammerspace, it’s now available on-demand. Learn strategies to optimize storage and data management in this challenging environment. Don’t miss out on insights that will guide you through navigating these pressing issues.
The Solution is an Open “Data-Centric” Architecture
The solution is not “buy more flash.” It’s decoupling data from hardware altogether.
Hammerspace pioneered the concept of a standards-based, “open” architecture that separates metadata and data from the underlying storage hardware, and now this data-centric architecture delivers the flexibility to survive this crisis and still drive key initiatives forward.
What does this survival strategy mean in practice?
- First, no agents, no clients, no complex installs. A Hammerspace cluster can be up and running in under 30 minutes, either on-premesis or in the cloud of your choice. There are no agents or proprietary file system clients to install.
- Use any storage media: TLC flash, QLC flash, HDDs, and even tape. Don’t be locked into a particular flavor of flash or memory. The Hammerspace Data Platform automates the tiering of data between these storage types within a global namespace, so files and objects remain visible and accessible regardless of where the data is physically stored.
- If you have a compute cluster, use the flash in that compute cluster as a tier of high-performance shared storage. Many compute servers have local flash storage, but in practice it is not used as part of a shared storage environment. With Hammerspace, you can add these volumes into the Hammerspace file system and make them part of a global namespace. This can add flash capacity quickly, and boost performance for those workloads that need it.
- Use any cloud. Hammerspace is available on all four of the major cloud platforms, and you can join Hammerspace clusters together to create a global file system that spans sites and clouds. If you want to access cloud storage capacity or cloud computing resources, Hammerspace makes that easy to do in a dynamic way – not a one way destination.
- Use your existing storage – you don’t have to buy storage from us. Hammerspace works with third-party NAS storage and third-party object storage, as well as cloud storage. We can even assimilate the metadata from your existing third-party NAS, so you can keep that storage in place and make all of the files on those systems visible and accessible through Hammerspace near-instantly. Keep that storage in-place and extend its useful life, especially during this supply constrained period.
The Crisis as Catalyst
The organizations that navigate 2026 successfully won’t be the ones who secured the most flash. They’ll be the ones who architected around needing more of it in the first place.
For infrastructure leaders planning AI, analytics, and next-gen workloads: Are you still designing around hardware availability, or are you designing around architectural flexibility?
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