What does the storage crisis mean in the context of AI?
The storage crisis describes the growing disparity between data volumes and available infrastructure. AI systems are data-driven. Modern AI models now generate and process billions to trillions of parameters. These must be stored, analysed and kept permanently available.
Unlike traditional IT workloads, continuous data streams are generated. Furthermore, the number of applications is increasing. Whereas individual data centres used to be specialised, companies across a wide range of industries are now integrating AI into their processes. This is driving a widespread increase in demand for infrastructure.
A key driver is the architecture itself. GPU-based systems in particular rely on high data availability. Without fast storage access, efficiency drops significantly. This places greater demands on high-performance hard drives and storage systems. For businesses, this means that storage is no longer just a cost factor, but a critical component of the entire IT infrastructure.
Processors, GPUs, DRAM and hard drives in continuous operation: a bottleneck rather than a growth driver
The processor (CPU) as the control centre under increasing load
The key tasks in any IT environment are taken on the processor. The CPU controls processes, manages data streams and coordinates applications. As the use of AI increases, so does the load on these systems.
Data pre-processing, workload management and communication between system components significantly increase the load. Processors therefore become the main bottleneck if they are not designed to handle these growing demands.
GPUs as drivers of AI performance
The GPU is responsible for the actual processing of AI models. Its strength lies in the parallel processing of large volumes of data. GPU systems are therefore reliant on fast data access. Without a high-performance memory interface, the available computing power cannot be fully utilised. The bottleneck thus shifts directly to the memory architecture.
Hard drives and storage systems as a bottleneck
Hard Disk drives remain the cornerstone of any data infrastructure. They store training data, models and operational data. This highlights a fundamental problem.
HDD systems offer large capacities but are slower. SSDs deliver speed but are more expensive. Both technologies meet different requirements but increasingly need to be combined. The result is complex storage architectures that are more difficult to manage and scale. Data is distributed across different systems depending on usage. This significantly increases the administrative burden as well as the demands on infrastructure and expertise.
DRAM as a critical factor in AI performance
Alongside hard drives and storage systems, RAM also plays a central role in the current memory crisis. DRAM (Dynamic Random Access Memory) acts as short-term temporary storage for data that the CPU and GPU need to access in real time. Particularly in AI applications, which process large volumes of data in parallel, fast and sufficiently sized RAM is crucial for overall performance.
Modern AI workloads require ever-increasing amounts of RAM to train and run models efficiently. If the available DRAM is insufficient, data must be offloaded to slower storage, which significantly reduces performance.
Where do the biggest bottlenecks occur?
The storage crisis does not arise from a single cause. It is the result of several factors acting in parallel:
exponential growth in data driven by AI applications
limited availability of high-performance hardware and dependence on global supply chains
increasing energy requirements in data centres
thermal load caused by continuous operation
Particularly high temperatures and continuous operation increase component wear and tear and shorten lifecycles. Data centres must absorb this load. At the same time, demands on cooling, power supply and physical infrastructure are rising. This means that not only hardware, but the entire environment becomes a limiting factor.
The impact of the storage crisis on businesses
The storage crisis is having a direct impact on your business decisions. IT is increasingly seen as a strategic factor. Capacity, costs and availability are becoming key determinants of competitiveness.
The consequences are directly measurable and affect key business areas:
rising investment costs for hardware and infrastructure
higher operating costs due to energy consumption
longer implementation times for IT projects
increasing reliance on cloud and external resources
At the same time, pressure is mounting to use existing systems more efficiently. IT infrastructure is thus becoming a strategic competitive factor.
Market trends: rising costs, longer delivery times and growing demand for resources
Current market trends clearly demonstrate the strain the AI boom is placing on IT infrastructure. Prices for high-performance AI hardware have risen massively in a very short space of time.
A clear trend however is absolutely recognizable in the area of memory: between 2023 and 2025, server DRAM is set to see price increases of between 40 and 70 per cent, depending on the configuration, whilst enterprise SSDs are expected to see price rises of between 20 and 50 per cent.
At the same time, the situation regarding availability is worsening. Whilst GPUs were available within two to four months before the AI boom, companies now face lead times of six to twelve months. Fully configured AI servers can even be delayed by up to nine months.
At the same time, the infrastructure’s energy requirements are rising significantly. Global electricity consumption by data centres stood at around 460 TWh in 2022 and could rise to as much as 1,000 TWh by 2026, representing an increase of over 100 per cent. A key driver is the use of AI. A single AI query can consume up to ten times more energy than a traditional search query.
Data volumes are also continuing to grow rapidly. Whilst around 64 zettabytes of data were generated worldwide in 2020, the volume had already reached approximately 180 zettabytes by 2025. A further increase to around 200 to 220 zettabytes is expected for 2026. This means that global data volumes have more than tripled within six years. This growth is putting further pressure on storage and computing infrastructure and significantly exacerbating existing bottlenecks in the wake of the storage crisis
How businesses can respond to the storage crisis
Optimising existing infrastructure
Optimising existing systems is particularly important. Efficient data management reduces storage requirements. Technologies such as deduplication and compression reduce data volumes and ease the load on systems.
Furthermore, making the most of existing hardware is becoming increasingly important. Systems are being kept in operation for longer and maintained in a more targeted manner. This reduces costs and eases the strain on supply chains.ö
Hybrid and cloud strategies
Cloud and hybrid solutions offer additional capacity and flexibility. Organisations can offload peak loads and dynamically scale their infrastructure.
These models reduce the pressure on local systems, but increase dependence on external providers.
Use of refurbished hardware
A key strategy lies in reusing existing resources. The lifespan of IT hardware often far exceeds the actual period of use during its initial deployment.
Refurbishment makes it possible to continue using existing resources, reduce costs and ease the strain on supply chains. At the same time, performance remains sufficient for many use cases. Existing systems can be put to good use, particularly in the field of storage solutions. For many use cases, it is not the latest generation that is crucial, but stability and availability.
This makes refurbishment a strategic component of modern IT architectures.
Outlook: How the storage crisis is developing
Current trends point in a clear direction. The use of AI will continue to grow. This will also place greater demands on CPUs, GPUs, DRAMs and hard drives.
At the same time, the focus is shifting. Maximum performance alone is no longer enough. Efficiency, scalability and the intelligent use of existing resources are becoming crucial.
New generations of hardware and optimised architectures will improve the situation. However, a complete resolution of the issue is not expected in the short term.
Optimise your IT infrastructure with it-market
The storage crisis presents businesses with real challenges: limited availability of hardware, rising costs and increasing pressure on existing systems. This is precisely where it-market comes in, specifically addressing availability gaps in your IT infrastructure. Instead of waiting a long time for new components or compromising on performance, you gain access to a wide range of solutions available immediately.
Benefit not only from competitively priced hardware, but above all from our supplier network. This enables us to source even hard-to-find components for CPU-, GPU- and storage-intensive applications at short notice and prepare them for immediate use. Whether hard drives, DRAM, servers or complete storage systems – we deliver solutions tailored to your requirements.
All systems are available as new or refurbished and come with up to a 3-year warranty for businesses. Our experienced team will support you in optimising your IT environment. Whether you wish to reduce bottlenecks, modernise your storage architecture or prepare your systems for increasing data volumes, we are here to assist you with our technical expertise.
FAQ: Frequently asked questions about the storage crisis 2026
What is meant by a storage crisis in IT?
A storage crisis describes the bottleneck between rising data volumes and limited storage and computing infrastructure.Why are GPUs and CPUs particularly affected?
AI models require enormous computing power and data access. GPUs handle the processing, whilst CPUs control processes and data flows. Both are constantly under heavy load.What role do hard drives play in this development?
Hard drives are responsible for storing large volumes of data. They are increasingly reaching their limits in terms of speed and scalability.How can businesses respond to the storage crisis?
Through more efficient data management, hybrid infrastructure approaches and the use of refurbished hardware, resources can be utilised more effectively and costs controlled.