Artwork

Content provided by Hewlett Packard Enterprise. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hewlett Packard Enterprise or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Reducing barriers to entry to foundation model training

18:48
 
Share
 

Manage episode 431751637 series 2793080
Content provided by Hewlett Packard Enterprise. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hewlett Packard Enterprise or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.

Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA

About this week's guest: https://www.linkedin.com/in/faraboschi/

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

  continue reading

71 episodes

Artwork
iconShare
 
Manage episode 431751637 series 2793080
Content provided by Hewlett Packard Enterprise. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hewlett Packard Enterprise or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.

Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA

About this week's guest: https://www.linkedin.com/in/faraboschi/

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

  continue reading

71 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide