At Annapurna Labs we are inventing the next generation of cloud computing infrastructure and the compute/machine learning/storage/networking industry as a whole. Join us!, we have many open positions to fuel the growth of the cloud. https://www.amazon.jobs/en/landing_pages/annapurna%20labs
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The Nitro System is one of the main drivers for EC2’s leadership in security and performance. Ever wondered about how it works? I talked about it at re:Invent this week and you can listen to all the innovations here: https://lnkd.in/gbAtPhqh
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Building Trainium2 was the most fun I've ever had in my career! It's amazingly fun to build cutting edge technology. It's even more fun to do it with a super-talented and mission-driven team. And it's incredible to see our customers putting everything that we've built to use, and achieving leading performance and price/performance on their workloads and applications. Last week at #reinvent we got a chance to share more about what we've been cooking! :) Hope you like it as much as I do! https://lnkd.in/gwTRpPcJ #trainium2 #deeplearning #aws #anthropic
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#postInvent This re:Invent has been such a joy for our #annapurnaalabs team, so much of the work we have been engaged at the past few years finally revealed: 1. Trn2 and Trn2 UltraServers, powered by AWS #Trainium2 chips, are the most powerful instances for deep learning and generative AI on AWS. Enabling up to 30-40% better price performance than current generation GPU-based instances 2. Apple join the main keynote, talking about all the services they run on AWS including their use of #Graviton, #Inferentia and #Trainium2 3. Long list of more Trainium2 launch customers: within the keynote Anthropic, Databricks, Qualcomm, Adobe and poolside. 4. Amazing startups supporting Trainium2: Luma, Brave, NinjaTech, Arcee, 8090, any many more 5. Broad support from popular open source libraries: Hugging Face Optimum, PyTorch Lightening, Ray, Datadog, Scale, Outerbounds, Weights and Biases 6. Google JAX/Trainium partnership: maximizing cross-platform code portability, where customers like #Anthropic using JAX, saying their use of JAX has been valuable for their ability to migrate across platforms, including to AWS Trainium. To learn more, please tune in to our session, where Matthew Johnson (Google DeepMind), Joe Rowell (poolside) and Yang Zhou (Amazon Rufus) joined me to geek out with #Trainium2 https://lnkd.in/gATFR-md
From the re:invent keynote stage More than 50% of new CPU capacity landed is #Graviton
#preInvent: make sure you are ready...
#reinvent2024 is going to be our largest to date, with more ML chips breakout sessions, hands on workshops, builder sessions and chalktalks. If you are planning to attend, don't miss out on learning more about #trainium and #neuron. To make it easy, we have a cheat-sheet here: https://lnkd.in/gVpttji7