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In this episode of No Priors, hosts Sarah and Elad are joined by Matt Garman, the CEO of Amazon Web Services. They talk about the evolution of Amazon Web Services (AWS) from its inception to its current position as a major player in cloud computing and AI infrastructure. In this episode they touch on AI commuting hardware, partnerships with AI startups, and the challenges of scaling for AI workloads.
Sign up for new podcasts every week. Email feedback to [email protected]
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil
Show Notes:
(00:00) Introduction
(00:23) Matt’s early days at Amazon
(02:53) Early conception of AWS
(06:36) Understanding the full opportunity of cloud compute
(12:21) Blockers to cloud migration
(14:19) AWS reaction to Gen AI
(18:04) First-party models at hyperscalers
(20:18) AWS point of view on open source
(22:46) Grounding and knowledge bases
(26:07) Semiconductors and data center capacity for AI workloads
(31:15) Infrastructure investment for AI startups
(33:18) Value creation in the AI ecosystem
(36:22) Enterprise adoption
(38:48) Near-future predictions for AWS usage
(41:25) AWS’s role for startups
4.4
114114 ratings
In this episode of No Priors, hosts Sarah and Elad are joined by Matt Garman, the CEO of Amazon Web Services. They talk about the evolution of Amazon Web Services (AWS) from its inception to its current position as a major player in cloud computing and AI infrastructure. In this episode they touch on AI commuting hardware, partnerships with AI startups, and the challenges of scaling for AI workloads.
Sign up for new podcasts every week. Email feedback to [email protected]
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil
Show Notes:
(00:00) Introduction
(00:23) Matt’s early days at Amazon
(02:53) Early conception of AWS
(06:36) Understanding the full opportunity of cloud compute
(12:21) Blockers to cloud migration
(14:19) AWS reaction to Gen AI
(18:04) First-party models at hyperscalers
(20:18) AWS point of view on open source
(22:46) Grounding and knowledge bases
(26:07) Semiconductors and data center capacity for AI workloads
(31:15) Infrastructure investment for AI startups
(33:18) Value creation in the AI ecosystem
(36:22) Enterprise adoption
(38:48) Near-future predictions for AWS usage
(41:25) AWS’s role for startups
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