This episode will stream live at 9:00am ET

As artificial intelligence, particularly LLMs, continues to expand, the digital infrastructure sector is under pressure to develop scalable storage to support exponential data growth. But what exactly does storage for high performance computing look like, and how can we accurately gauge the storage requirements for different AI workloads? This episode will explore:

• The storage demands of training versus inference for large language models
• The power requirements and energy consumption of modern storage systems
• Advancements in storage technologies that enhance performance and efficiency
• Scalability challenges and the future demand for storage