Just over 125 years ago, on Nov. 8, 1895, the world’s first X-ray image was captured. It was a breakthrough that set the stage for the modern medical imaging industry. Over the decades, an entire ecosystem of medical imaging hardware and software came to be, with AI startups now playing a key role within it. Read article >

The post NVIDIA Launches Inception Alliance with GE Healthcare and Nuance to Accelerate Medical Imaging AI Startups appeared first on The Official NVIDIA Blog.

MONAI — the Medical Open Network for AI, a domain-optimized, open-source framework for healthcare — is now ready for production with the upcoming release of the NVIDIA Clara application framework for AI-powered healthcare and life sciences. Introduced in April and already adopted by leading healthcare research institutions, MONAI is a PyTorch-based framework that enables the Read article >

The post MONAI Imaging Framework Fast-Tracked to Production to Accelerate AI in Healthcare appeared first on The Official NVIDIA Blog.

Cloud or on premises? That’s the question many organizations ask when building AI infrastructure. Cloud computing can help developers get a fast start with minimal cost. It’s great for early experimentation and supporting temporary needs. As businesses iterate on their AI models, however, they can become increasingly complex, consume more compute cycles and involve exponentially Read article >

The post How to Avoid Speed Bumps and Stay in the AI Fast Lane with Hybrid Cloud Infrastructure appeared first on The Official NVIDIA Blog.

Replify WAN optimization supported on newly released Apple M1 processor in addition to existing support for x86 and ARM processors.

The post Replify WAN Optimization for Apple M1 appeared first on Replify.