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AWS Weekly Roundup — AWS Chips Taste Test, generative AI updates, Community Days, and more — April 1, 2024

Today is April Fool’s Day. About 10 years ago, some tech companies would joke about an idea that was thought to be fun and unfeasible on April 1st, to the delight of readers. Jeff Barr has also posted seemingly far-fetched ideas on this …

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Accelerating simulated quantum annealing on AWS Graviton processors

In this new post you’ll learn how Arm-based AWS Graviton processors can accelerate Simulated Quantum Annealing for nonlinear optimization problems in quantum computing. Read the Post on the AWS Blog Channel

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Exploring quantum-informed recursive optimization algorithms on Amazon Braket

Combinatorial optimization problems got you stumped? Check out our new blog exploring a hybrid algorithm that taps into quantum computing to recursively reduce complexity while ensuring feasible solutions. Read the Post on the AWS Blog …

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Renewable energy transition: examining the impacts of wind energy through simulation

As we move towards a greener future, understanding wind energy’s climate impacts is key. Check out this blog post by our friends at Whiffle, to learn how large-scale simulations reveal wind power’s effect on our atmosphere. Read the Post on …

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A walk through Research and Engineering Studio on AWS

Research and Engineering Studio on AWS (RES) is a new product from the HPC team at AWS built for scientists and engineering users who just want to get on with doing their R&D work, without having to know the fiddly details of launching …

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A new building block for error-corrected quantum computers

Quantum error correction is key to building useful quantum computers. New research by Amazon & Caltech demonstrates a strategy that cuts the overhead of error correction. A lot. Read the Post on the AWS Blog Channel

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Choosing the right compute orchestration tool for your research workload

Running big research jobs on AWS but not sure where to start? We break down options like Batch, ECS, EKS, and others to pick the right tool for your needs. Lots of examples for genomics, ML, engineering, and more! Read the Post on the AWS …

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Protein language model training with NVIDIA BioNeMo framework on AWS ParallelCluster

In this new post, we discuss pre-training ESM-1nv for protein language modeling with NVIDIA BioNeMo on AWS. Learn how you can efficiently deploy and customize generative models like ESM-1nv on GPU clusters with ParallelCluster. Whether …

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