Top AI Advances for Enterprise and Deployment Challenges, According to Storage Exec

AI services have slashed inference costs up to 100x in two years, fueling a surge in enterprise adoption and $30B in investment.

During this month’s Pure Accelerate 2025 conference in Las Vegas, Par Botes, vice president of AI Infrastructure at Pure Storage, provided an overview of some of the latest breakthroughs in AI, particularly those relevant to enterprise users.

Significant improvements in smaller LLMs

Botes noted that smaller large language models (LLMs) have recently shown significant improvements, resulting in a massive reduction in the number of parameters being analyzed, yet LLM accuracy remains high.

“AI is becoming less complex with smaller models that are just as capable as the very large ones,” said Botes. “This is due to improvements in training data refinement, model architectures, and the algorithms used in training pipelines.”

AI is more affordable

In parallel, AI is becoming increasingly affordable. Benchmarks of various AI services show ...