All news with #nvidia nim tag

🚀 Amazon Bedrock now supports NVIDIA Nemotron 3 Super, an open hybrid Mixture-of-Experts (MoE) model designed for complex multi-agent and agentic workloads. The model delivers fast, cost-efficient inference for long, multi-step tasks while preserving context, and is released with open weights, datasets, and recipes for customization. Bedrock exposes Nemotron 3 Super via a single, fully managed, serverless API with built-in security controls and compatibility with OpenAI API specifications, and the model is available in select AWS Regions.

🚀 With Amazon SageMaker JumpStart, customers can now deploy four NVIDIA NIMs — ProteinMPNN, Nemotron-3.5B-Instruct, MSA Search NIM, and Cosmos Reason — with one click. These prebuilt, optimized inference microservices are designed for NVIDIA-accelerated infrastructure and target biosciences and physical AI use cases. They enable protein sequence optimization, GPU-accelerated multiple sequence alignment, large-context reasoning and agentic tool calling, and vision-language planning for robotics. Deployments are accessible from the SageMaker JumpStart catalog or via the SageMaker Python SDK.

🔐 CrowdStrike integrates NVIDIA Nemotron via Amazon Bedrock to advance agentic security across the Falcon platform, enabling defenders to reason and act autonomously at scale. Falcon Fusion SOAR leverages Nemotron for adaptive, context-aware playbooks that prioritize alerts, understand relationships, and execute complex responses. Charlotte AI AgentWorks uses Bedrock-delivered models to create task-specific agents with real-time environmental awareness. The serverless Bedrock architecture reduces infrastructure overhead while preserving governance and analyst controls.