Storage
There are many different ways to approach storage, and the right platform depends on the workloads, scale and operational requirements behind it.
Some environments prioritise ultra-high performance for AI and GPU workloads. Others are built around long-term retention, business-critical applications or cost-efficient capacity at scale. The challenge is understanding which architecture best fits the environment.
We can support you to choose the right platform based on how your environment will be used, integrated and scaled over time, including considerations around hybrid cloud, compliance and long-term data growth.
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AI Storage
AI workloads place very different demands on storage. As GPU clusters scale, storage performance becomes critical to keeping expensive compute resources fully utilised and data moving efficiently across the environment.
Most AI environments rely on high-performance NVMe flash and low-latency data access to keep GPUs fully utilised. The difference is often how much of the dataset needs to sit on that highest-performance tier, and how much can be managed across lower-cost repositories or archive storage over time. The right approach depends on how the environment will actually be used.
As an NVIDIA Elite Partner, we help organisations design AI storage environments around real operational requirements, working across platforms including VAST Data, WEKA, DDN, NetApp and Quantum.
Traditional Enterprise Storage
Some organisations want a fully integrated enterprise storage platform with established support models, resilience features and validated software ecosystems. We work across the major enterprise storage vendors, supporting environments ranging from virtualisation and databases through to backup, archive and high-availability production workloads.
Choosing the right platform depends on more than raw performance alone. Scalability, disaster recovery, software compatibility, hybrid cloud integration, compliance requirements and long-term operational costs all play a role in determining the right fit for the environment.
Open, Software-Defined Storage
Software-defined storage separates the storage software from the underlying hardware, creating greater flexibility over how storage environments are designed and scaled.
Platforms such as Ceph allow organisations to build scalable block, file and object storage environments on standard server hardware, avoiding dependency on proprietary storage appliances and restrictive upgrade cycles.
Where appropriate, this can deliver meaningful flexibility and commercial advantages, particularly in environments where scale, customisation, data sovereignty or long-term growth are key considerations.
Because these environments are built on standard infrastructure, we play a deeper role in the overall solution design, from server architecture and networking through to build, validation and ongoing support. Systems can also be staged and tested within our AI Lab environment prior to deployment.
Storage tiers and lifecycle
Not all data needs the same level of performance. Some workloads demand the lowest possible latency from high-speed flash storage, while others are better suited to lower-cost disk or long-term archive platforms.
The right approach often involves balancing performance, resilience, retention and cost.