AWS News Blog
DeepSeek-R1 models now available on AWS
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.
Luma AI’s Ray2 video model is now available in Amazon Bedrock
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.
Stable Diffusion 3.5 Large is now available in Amazon Bedrock
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.
New Amazon EC2 High Memory U7inh instance on HPE Server for large in-memory databases
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.
Accelerate foundation model training and fine-tuning with new Amazon SageMaker HyperPod recipes
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.
Meet your training timelines and budgets with new Amazon SageMaker HyperPod flexible training plans
Unlock efficient large model training with SageMaker HyperPod flexible training plans – find optimal compute resources and complete training within timelines and budgets.
Maximize accelerator utilization for model development with new Amazon SageMaker HyperPod task governance
Enable priority-based resource allocation, fair-share utilization, and automated task preemption for optimal compute utilization across teams.
New Amazon Q Developer agent capabilities include generating documentation, code reviews, and unit tests
Enhancing coding productivity, Amazon Q Developer agents now offer capabilities for auto-generating documentation, conducting code reviews, and creating unit tests within IDEs and GitLab.