current
GPU Availability Constraints
Access to GPUs remains a significant challenge, influencing infrastructure decisions and driving the adoption of specialized cloud platforms.
Themes
Timeframe
near-term
Categories
Subcategories
Impact areas
Detailed Analysis
The demand for GPUs continues to outpace supply, creating a bottleneck for organizations seeking to deploy AI at scale. This scarcity is a major factor in infrastructure planning, with 40% of organizations citing access to AI accelerators as a leading consideration. "Four in 10 organizations surveyed suggest access to AI accelerators is a leading consideration in their infrastructure decision-making, and 30% cite GPU availability among their top three most serious challenges in moving AI models into production."
Context Signals
44% of organizations prioritize access to AI accelerators in infrastructure decisions.
GPU cloud adoption is rising, with 32% of organizations using them for training.
Regional disparities in GPU availability exist, particularly in Asia-Pacific.
Edge
Increased investment in GPU cloud platforms and alternative hardware solutions will be necessary.
GPU-as-a-service models will gain traction, offering flexible and scalable access.
Innovation in hardware design and optimization will be crucial to address the growing demand.
