Tech Field Day Podcast
75. Unified Flash Memory and Reduced HBM are Reshaping AI Training and Inference with Phison
23m
AI will need less HBM (high bandwidth memory) because flash memory unification is changing training and inference. This episode of the Tech Field Day podcast features Sebastien Jean from Phison, Max Mortillaro, Brian Martin, and Alastair Cooke. Training, fine-tuning, and inference with Large Language Models traditionally use GPUs with high bandwidth memory to hold entire data models and data sets. Phison’s aiDaptiv+ framework offers the ability to trade lower cost of infrastructure against training speed or allow larger data sets (context) for inference. This approach enables users to balance cost, compute, and memory needs, making larger models accessible without requiring top-of-the-line GPUs, and giving smaller companies more access to generative AI.
Up Next in 2025
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74. Software is Automating Your AI Da...
Hardware always matters, especially in AI and now software is automating your AI data centre infrastructure. This episode of the Tech Field Day podcast features Gina Rosenthal, Barton George, Andy Banta, and Alastair Cooke. Generative AI brought new hardware into enterprise data centres; GPUs, TP...
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73. Agentic AI Spells the End of Dial...
You aren’t in the business of twiddling the dials, even though the dials may still be important. This episode of the Tech Field Day podcast features Guy Currier, Jay Cuthrell, and Alastair Cooke. Knowledge of all the dials and controls has historically been a defining characteristic of infrastruc...
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72. Networks Need Agentic AI with HPE...
Agentic AI is reshaping the IT landscape and networking is no exception. Building upon the previous research into machine learning means we have a head start on harnessing that power. In this episode of the Tech Field Day podcast, brought to you by HPE Juniper Networking, Tom Hollingsworth is joi...
