Key AWS points from Q4 23 Amazon(AMZN)

  • Shifting to AWS. Revenue in the quarter grew 13% year-over-year in Q4 versus 12% year-over-year in Q3. And we’re now approaching an annualized revenue run rate of $100 billion.”
  • “We watched the incremental revenue added each quarter and in Q4 AWS added more than $1.1 billion an incremental quarter-over-quarter revenue, which on an FX neutral basis is more than any other cloud provider as far as we can tell.”
  • “While cost optimization continued to attenuate larger new deals also accelerated, evidenced by recently inked agreements with Salesforce, BMW, NVIDIA, LG, Hyundai, Merck, MUFG, Axiata, Cafe, BYD, Arcore, Amgen, and SAIC.”
  • “2023 also was a very significant year of delivery and customer trial for generative AI or Gen AI in AWS.”
  • “At the bottom layer, where customers who are building their own models run training and inference on compute with a chip is the key component in that compute, we offer the most expansive collection of compute instances with NVIDIA chips.”
  • “We’ve launched Bedrock which is off to a very strong start with many 1,000s of customers using the service after just a few months.”
  • “Customers want a service that makes this experimenting and iterating simple and this is what Bedrock does, which is why so many customers are excited about it.”
  • “By the way, don’t underestimate the point about Bedrock and Q inheriting the same security and access control as customers get with AWS.”
  • “Security is a big deal, an important differentiator between cloud providers.”
  • “Moving to AWS. Revenues were $24.2 billion, an increase of 13% year-over-year.”
  • “AWS’ operating income was $7.2 billion, an increase of $2 billion year-over-year.”
  • “We have seen significant interest from our customers wanting to run generative AI applications and build large language models and foundation models, all with the privacy, reliability and security they have grown accustomed to with AWS.”
  • “As we look forward to 2024, we anticipate CapEx to increase year-over-year, primarily driven by increased infrastructure CapEx, support growth of our AWS business, including additional investments in generative AI and large language models.”