Heart of the Matter: How a Major Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care
NVIDIA reported on 2026-09-15 that a major children’s hospital uses Open Source NVIDIA AI for cardiac care.
AI news, product launches and company developments.
OpenAI & AnthropicNVIDIA reported on 2026-09-15 that a major children’s hospital uses Open Source NVIDIA AI for cardiac care.
On 2026-08-24, NVIDIA announced the Vera Rubin NVL72, which sets a new efficiency standard for AI agents by delivering up to 30 times more work per watt. This advancement addresses the high token consumption of agentic AI workloads, which according to OpenRouter data, use 15 times more tokens than simple chat requests.
On 2026-07-20, Bristol Myers Squibb (BMS) announced the deployment of its second NVIDIA DGX SuperPOD, further advancing its AI capabilities in the life sciences industry. This expansion builds one of the most advanced AI factories in the sector, leveraging NVIDIA's technology.
NVIDIA introduced Vera Rubin, a system designed to maximize intelligence per dollar for post-training AI workloads. It achieves the lowest cost per token through extreme codesign optimization. This advancement is crucial for cost-effective agentic AI development.
NVIDIA's Nemotron 3 Embed model achieved the top rank on the Retrieval-Enhanced Transformer Benchmark (RTEB). This advancement improves agentic retrieval capabilities, enhancing how AI agents access and utilize information. The achievement highlights NVIDIA's leadership in retrieval-augmented AI models.
NVIDIA has launched the Jetson Thor T3000 and T2000 modules to support mainstream robotics and edge AI applications. These compact, power-efficient AI supercomputers are designed to run foundation models at the edge. This advancement helps move autonomous machines from research labs to real-world mass-market deployment.
NVIDIA and Japan are collaborating to advance AI and robotics across various industries using NVIDIA's full-stack technologies. Japan, known for its manufacturing and robotics expertise, is showcasing new AI ecosystem developments. This partnership highlights significant progress in integrating AI with industrial and infrastructure applications.
Nemotron Labs highlights the importance of open AI models for enterprises and nations. Open models allow businesses to customize AI to meet specific needs and maintain control. This approach enhances trust, accuracy, and workflow improvements in AI applications.
Power consumption is a critical constraint for AI infrastructure efficiency. Performance per watt measures how many AI tokens can be generated within a fixed power budget, directly impacting revenue and profitability. This metric is essential as agentic AI increases token demand, making energy efficiency a key factor for AI factories.
Amazon SageMaker now supports serverless fine-tuning of NVIDIA Nemotron 3 models. This integration simplifies customizing advanced AI models without managing infrastructure. It enables developers to efficiently adapt Nemotron 3 for specific tasks using SageMaker Studio.
Paris-based AI voice startup Gradium raised $100 million in a seed extension round. The funding round was backed by Nvidia, highlighting strong investor confidence. Gradium aims to compete with established voice AI companies like ElevenLabs.
NVIDIA introduced Vera, a new category of CPUs optimized for single-threaded performance at scale. These CPUs are designed to improve reasoning, response time, and learning in agentic AI systems. This advancement is critical for efficient execution of AI model commands in real-time applications.