Several years ago, when we started pursuing building our own chips, a lot of folks thought this was nuts. We heard a lot of the same refrains you often hear—why make this investment, why invest in a team and all the other fixed costs to develop your own chip when you can buy from other suppliers? And, while we knew we’d partner with those other companies for the foreseeable future, if your customers are telling you they’re thirsty for better price-performance, and you’re driven by what makes customers’ lives better and easier every day, you explore options to make it so. We realized pretty quickly that designing our own chips was going to be the best path to delivering this value for customers. We were lucky to find and join forces with the amazing Annapurna Labs team, who started with a chip (named Nitro) that offloaded security, networking, and some other virtualization functions from our servers so customers could use more of the server than they could before. Then, that team built a generalized CPU chip, Graviton, which has been very popular and impactful for customers, before embarking on building custom AI chips—Trainium (for training) and Inferentia (for inference)—which are also off to a strong start. Am very excited about our most recent chip releases at AWS re: Invent: Graviton4 and Trainium2. Graviton4 marks the fourth generation we’ve delivered in just five years (you can see the evolution from left to right in the image below), and it’s the most powerful and energy efficient multipurpose chip we have built to date. And with the surge of interest in generative AI, Trainium2 will help customers train their ML models faster, at a more advantaged price-performance. I’m really proud of the pace of innovation our teams are delivering on and what it is making possible for customers! aboutamazon.com/news/aws-rei…

#AWS Heroes are passionate builders who share knowledge & inspire others. 🦸‍♀️☁️💡 Congratulations to our newest AWS Heroes driving impact in the #CloudCommunity. Thank you @Al_Grigor, @lizthegrey, @fantasticHsieh, & @AllenHeltonDev. 👉 go.aws/3AmX8Vg

Great read about silicon innovation at #AWS and how it became the 'secret sauce' behind AWS Cloud success.

🚨 Live from #AWSSummit New York, Liz Fong-Jones (@lizthegrey), Principal Developer Advocate at @Honeycombio, shares how they leverage #AWS to deliver solutions at scale. Watch now 👀 go.aws/3xrezU5

💨Did you know Go 1.18 can run your applications up to 20% faster on AWS Graviton? This is *on top* of the performance gains you get by using Graviton2 and Graviton3 instances, at prices up to 20% less than x86 compute. aws.amazon.com/blogs/compute…

Always a good read - here's a blog post from James Hamilton on the AWS Graviton3-based C7g instance family launch #AWS #Graviton #Graviton3

🚨AWS Graviton3 is now generally available🚨 we've received lots of great feedback and look forward to seeing what customers build next! go check it out and let us know what you think... #AWS #Graviton3

New – Amazon EC2 C7g Instances, Powered by AWS Graviton3 Processors - aws.amazon.com/blogs/aws/new… #AWS #EC2 C7g instances are available in 8 sizes with 1-64 vCPUs, 2-128 GiB of memory, up to 30 Gbps of network bandwidth, and up to 20 Gbps of EBS bandwidth.

.@metaforgotten and @lizthegrey provide an early look into the benefits our customers get with Amazon’s newly released C7g instances powered by the highly anticipated @AWSCloud #Graviton3 Processors. Looking to get started on your Graviton journey? go.hny.co/38a4uBe

New – Amazon EC2 C7g Instances, Powered by AWS Graviton3 Processors - aws.amazon.com/blogs/aws/new… #AWS #EC2 C7g instances are available in 8 sizes with 1-64 vCPUs, 2-128 GiB of memory, up to 30 Gbps of network bandwidth, and up to 20 Gbps of EBS bandwidth.

Sweet! great to see @honeycombio converted 100% of their fleet to #AWS #Graviton2 / #Graviton3 🎉

Splunk Embarks on #AWS #Graviton2 Journey with Amazon EC2 Im4gn and Is4gen Instances - check it out here: splunk.com/en_us/blog/platfo…

Check out the new public preview of @databricks on #AWS #Graviton2 "With up to 3x Better Price-Performance" - see: databricks.com/blog/2022/04/…

My dad is working with @UNICEF to organize a livestream fundraiser for Ukraine. Check it out here and donate if you can 💙💛 youtu.be/6pRDcD2zRdY

HPC Serverless Arm 👉 How to Arm a world-leading forecast model with AWS Graviton and Lambda – A super interesting use case from the UK @metoffice “With a one-line change in our AWS CloudFormation templates we migrated to ARM and AWS Graviton2” buff.ly/3roEskL

Freshly blogged: Migrating AWS Lambda functions to Arm-based AWS Graviton2 processors: Lots of detail to help you migrate your Lambda functions to Arm to get better performance and save money!. aws.amazon.com/blogs/compute… #serverless #aws #graviton #arm

Congratulations to the Winners of the #AWS Graviton Challenge & Hackathon - aws.amazon.com/blogs/compute…

👇 what Liz said... if you're running @apachekafka workloads you owe it to yourself (and your pocketbook!) to check out these new AWS Graviton is4gen instances! #AWS #Graviton2 @confluentinc

During this @anacondainc webinar, attendees will learn how to set up Anaconda on Graviton2, see performance benchmarks, and more. Be sure to join on 12/9! bit.ly/3db9C7b