AISecurity
Four Ways to Deploy More Secure AI Agents
Knowledge workers are increasingly integrating AI agents as digital coworkers to boost productivity, but security remains a key concern when connecting large language models.
Tech News
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AIHardware
Integrate NVIDIA Omniverse RTX Sensor Simulation Into Existing Apps
NVIDIA introduces RTX Sensor Simulation integration for developers building 3D, simulation, robotics, and digital twin applications to incorporate physical AI capabilities into existing tools and workflows.
AICloud
AWS Weekly Roundup: One-click Lambda setup prompt, OpenAI GPT-5.6 models on Bedrock, and more
AWS announced a one-click Lambda setup prompt for coding agents, general availability of OpenAI GPT-5.6 models on Amazon Bedrock, same-day transitions to S3 Standard-IA and One Zone-IA, self-managed code storage on Lambda, and password hash imports for Amazon Cognito users. Additional updates include Amazon SQS's 20th anniversary, open AI protocols with Strands Agents SDK, an open source Bulk Executor for DynamoDB, and Kiro CLI for AWS Support workflows.
CloudSecurity
AWS Builder Center marks 1 year; Security Hub adds Network Scanning; Loom for AWS launched
AWS Builder Center celebrates its first anniversary with expanded features including sandbox environments and workshops. AWS Security Hub introduces Network Scanning for public internet reachability detection and extends monitoring to Microsoft Azure. Amazon SageMaker Studio integrates with Hugging Face for streamlined AI model deployment. Other updates include reduced GPU management fees for Amazon ECS and EKS, general availability of Amazon Aurora DSQL CDC, and new tools like Loom for AWS and Claude apps gateway.
AICloud
ModelExpress: Distributing Model Artifacts at the Speed of Light
ModelExpress by NVIDIA addresses the high cost of moving large model checkpoints, enabling faster distribution of model weights across clusters for tasks like cold starts, autoscaling, and rolling updates.
AIHardware
Build a Multi-Camera 3D Tracking Application with NVIDIA DeepStream 9.1
NVIDIA DeepStream 9.1 enables developers to build video analytics applications that track objects across multiple camera views using 3D tracking, overcoming limitations of single-camera 2D tracking.
AIHardware
NVIDIA GB300 NVL72 Sets World Record for MoE Pre-Training with DeepSeek-V3 671B
NVIDIA's GB300 NVL72 achieved a world record in pre-training the DeepSeek-V3 671B model using mixture of experts (MoE), reaching 1,648 TFLOPs per GPU and advancing large-scale AI training efficiency.
AIHardware
Developing Healthcare Robotics with GPU-Native Medical Physics Simulation
Healthcare robotics faces unique challenges due to limited data and experimentation opportunities. NVIDIA explores GPU-native medical physics simulation to advance robotic surgery development.
AIHardware
Scaling Agentic AI Factories Through Extreme Co-Design with NVIDIA BlueField
Agentic AI transforms AI factory infrastructure by triggering multiple model calls and data operations per request, requiring fast data movement and protection. NVIDIA BlueField enables scaling through extreme co-design.
AIHardware
NVIDIA Nemotron 3 Ultra Leads Open Models on Accuracy and Efficiency in Agentic RTL Coding
NVIDIA's Nemotron 3 Ultra model excels in accuracy and efficiency for agentic register transfer level (RTL) coding, accelerating chip design by leveraging AI agents and LLMs to improve code generation and verification.
AIHardware
NVIDIA Vera CPU: Olympus Cores Built for Maximum Single-Thread Performance in Agentic AI
NVIDIA introduces the Vera CPU featuring Olympus cores optimized for maximum single-thread performance to enhance agentic AI workloads, improving per-agent responsiveness and AI factory throughput.
AIHardware
Advancing Semiconductor Innovation Across Materials Engineering and Manufacturing
Increasing AI workloads are driving explosive compute demand, pushing the semiconductor industry to meet unprecedented performance targets while addressing thermal and power challenges through system-level engineering breakthroughs.