Enjoyed AWScloud CEO Matt Garman presentation at GS, which w...
Enjoyed AWScloud CEO Matt Garman presentation at GS, which was only the 2nd $Amazon (AMZN.US)$ sellside conference participation ever. Maybe another sign - like w/ Andy Jassy joining earnings calls - that IR efforts will improve going fwd.
Highlights:
- Still early in cloud adoption, biz is still accelerating at over $100B run rate
- Differentiation: we listen to customers and continually innovate to provide the best platform to run your IT efficiently so you can focus on your business differentiation. AWS continues to innovate at base IT infra layers offering best environment for compute, storage, networking, security, energy efficiency, now AI. Others more focused on protecting legacy profit pools and migrating them to the cloud.
- Excited abt AI over long term. Initial use cases focused on cost efficiency but broader upside will come from re imagining business value in ways that were previously impossible.
- Gen AI changes GTM focus from horizontal uses (ie infra cost optimization) to needing more industry and customer specific knowledge to help drive better business outcomes
- Capex: Cloud is capex intensive, that’s part of value prop to customers so they don’t need to spend $ on assets and be stuck with them for 5-6yrs, can leverage best of what AWS has. But they’re rly good at managing this business at rapid growth and adding capacity profitably. Supply chain, custom silicon, other owned infra is an advantage.
- Customers want choice on Silicon. We’ll be the best place to run $NVIDIA (NVDA.US)$ chips and offer inference and training chips that add value for some customers. Excited abt upcoming Trainium2 chip.
- Still early in cloud adoption, biz is still accelerating at over $100B run rate
- Differentiation: we listen to customers and continually innovate to provide the best platform to run your IT efficiently so you can focus on your business differentiation. AWS continues to innovate at base IT infra layers offering best environment for compute, storage, networking, security, energy efficiency, now AI. Others more focused on protecting legacy profit pools and migrating them to the cloud.
- Excited abt AI over long term. Initial use cases focused on cost efficiency but broader upside will come from re imagining business value in ways that were previously impossible.
- Gen AI changes GTM focus from horizontal uses (ie infra cost optimization) to needing more industry and customer specific knowledge to help drive better business outcomes
- Capex: Cloud is capex intensive, that’s part of value prop to customers so they don’t need to spend $ on assets and be stuck with them for 5-6yrs, can leverage best of what AWS has. But they’re rly good at managing this business at rapid growth and adding capacity profitably. Supply chain, custom silicon, other owned infra is an advantage.
- Customers want choice on Silicon. We’ll be the best place to run $NVIDIA (NVDA.US)$ chips and offer inference and training chips that add value for some customers. Excited abt upcoming Trainium2 chip.
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