Reducing barriers to entry to foundation model training

In the past couple of years, the world has seen the unprecedented growth and development of machine learning and AI applications, along with a huge spike in demand for new systems.


This rising demand for AI services has, according to today’s guest, stifled competition to supply AI to those with a lot of resources, and caused uneven access for the rest of us.


In this episode we are looking at reducing those barriers to entry, and helping more people get access to foundation model training, at less cost financially - and to the planet – with Fellow and VP at HPE, Paolo Faraboschi.


This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it.


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About this week's guest: https://www.linkedin.com/in/faraboschi/ (https://www.linkedin.com/in/faraboschi/%20)


Sources and statistics cited in this episode:
Research and Markets research into demand for AI infrastructure: https://www.researchandmarkets.com/reports/5925430/ai-semiconductors-server-gpu-market-global?utm_source=GNE&utm_medium=PressRelease&utm_code=8k36pg&utm_campaign=1927769+-+AI+and+Semiconductors+-+A+Server+GPU+Market+Analysis+and+Forecast%2c+2023-2028%3a+Global+AI+and+Server+GPU+Demand+Bolsters+High-Density+Computing+Solutions%2c+Skyrocketing+Market+Valuations&utm_exec=carimspi
Gii research piece on LLM demand and supply: https://www.giiresearch.com/report/qyr1421025-global-large-language-model-llm-market-research.html
Thought-to-speech research: https://english.tau.ac.il/research/thought-based-communication