Category: AWS Batch

AstraZeneca’s genomic research requires extensive computational resources to analyze DNA sequences for developing life-saving therapies. As cloud infrastructure evolves with more powerful capabilities, customers can adopt them to see performance and efficiency gains. AstraZeneca successfully migrated to Amazon EC2 F2 instances for genomics, boosting performance by 60% and slashing costs by 70%.

Running NVIDIA Cosmos world foundation models on AWS provides powerful physical AI capabilities at scale. This blog covers two production-ready architectures, each optimized for different organizational needs and constraints.

We want to empower every scientist and engineer to solve hard problems by giving them access to the compute and analytical tools they need, when they need them. Cloud HPC can be a real human progress catalyst. If you run large scale simulations, tune complex models, or support researchers who consistently need more compute, the […]

AWS re:Invent 2025 returns to Las Vegas, Nevada on December 1, uniting AWS builders, customers, partners, and IT professionals from across the globe. This year’s event offers you exclusive access to compelling customer stories and insights from AWS leadership as they tackle today’s most critical challenges in high-performance computing, from accelerating scientific discovery to optimizing […]

Cyclone chasing just got a whole lot smarter! Check out how DTN’s AI-powered weather model is rewriting the forecast. Brace yourself for the future of weather prediction.

Today, we are launching a new set of instance family categories for AWS Batch, “default_x86_64” and “default_arm64″. These new categories represent both a clarification and an improvement upon the existing “optimal” instance type category. This blog post gives some background on the new feature and how you can configure your Batch environments to take advantage […]

In this post, we’ll review the key optimizations and performance gains for our Whisper audio transcription solution powered by AWS Batch and AWS Inferentia.

Subsurface infrastructure mapping is crucial for industries ranging from oil and gas to environmental protection. Our groundbreaking approach combines advanced magnetic imaging with physics-informed AI to provide unparalleled visibility into hidden structures, even when traditional methods fall short. Explore how this fusion of cloud computing and AI is opening new possibilities for subsurface exploration and management.

As climate change escalates, power infrastructure faces growing risks. Explore how the ClimateEarthDigitalTwin (CDT™) platform from riskthinking.AI leverages AWS HPC to assess these risks and enable resilience planning for the energy sector. Learn how this cutting-edge solution can safeguard your critical assets.

Autonomous robots are increasingly used across industries, from warehouses to space exploration. While developing these robots requires complex simulation and reinforcement learning (RL), setting up training environments can be challenging and time-consuming. AWS Batch multi-node parallel (MNP) infrastructure, combined with NVIDIA Isaac Lab, offers a solution by providing scalable, cost-effective robot training capabilities for sophisticated behaviors and complex tasks.