Podcast – GPU Memory Bottlenecks in Enterprise AI
Enterprise AI is moving faster than the hardware that supports it. I recently joined Stephen Foskett and Brad Shimmin on the Utilizing AI podcast to discuss this widening gap. We…
Podcast – Utilizing AI – AI Infrastructure Costs Are Rising. Efficiency Is the New Strategy
The AI infrastructure market is under real pressure. GPU shortages started the squeeze. Then memory, NVMe drives, and advanced packaging followed. Now hard drives are also feeling the strain as…
Why AI Storage standards matter
AI teams often focus on GPUs first. However, storage now shapes AI performance, cost, and user experience. SNIA, the Storage Networking Industry Association, helps vendors and customers address that challenge…
Solving the AI Inference memory bottleneck at scale
AI inference has a memory problem, and the pressure keeps growing. As agentic AI workloads use longer context windows, GPUs spend more time repeating work instead of generating tokens. At…
Why AI Infrastructure Needs Software Optimization First
The AI infrastructure market has used the same answer for years. When performance falls short, buy more hardware. That answer no longer works. Supply chain pressure, rising GPU demand, and…