Author: Channy Yun (윤석찬)

Join us for the AWS Developer Day on February 20! This virtual event is designed to help developers and teams incorporate cutting-edge yet responsible generative AI across their development lifecycle to accelerate innovation. In his keynote, Jeff Barr, Vice President of AWS Evangelism, shares his thoughts on the next generation of software development based on […]

DeepSeek-R1, a powerful large language model featuring reinforcement learning and chain-of-thought capabilities, is now available for deployment via Amazon Bedrock and Amazon SageMaker AI, enabling users to build and scale their generative AI applications with minimal infrastructure investment to meet diverse business needs.

Amazon Bedrock now offers Luma AI’s Ray2 video model, enabling users to generate high-quality, 5 or 9 second video clips with 540p and 720p resolution from text prompts, marking AWS as the exclusive cloud provider offering fully managed Luma AI models.

Unleash your creativity: Stable Diffusion 3.5 Large in Amazon Bedrock generates stunning high-resolution images with superior detail, style variety, and prompt adherence for accelerated visual content creation.

Leverage 1920 vCPUs and 32TB memory with high-performance U7inh instances from AWS, powered by Intel Xeon Scalable processors; seamlessly migrate SAP HANA and other mission-critical workloads while benefiting from cloud scalability and cost savings.

Amazon SageMaker HyperPod recipes help customers get started with training and fine-tuning popular publicly available foundation models, like Llama 3.1 405B, in just minutes with state-of-the-art performance.

Unlock efficient large model training with SageMaker HyperPod flexible training plans – find optimal compute resources and complete training within timelines and budgets.

Enable priority-based resource allocation, fair-share utilization, and automated task preemption for optimal compute utilization across teams.