HOPPR AI Foundry Expands Medical Imaging AI With NVIDIA’s Help

HOPPR today announced that NVIDIA open models—NV-Reason and NV-Generate—are now available on the HOPPR AI Foundry, expanding developer access to advanced reasoning and generative artificial intelligence (AI) capabilities for medical imaging development.

Announced at NVIDIA GTC 2026, the integration brings NVIDIA medical imaging models into HOPPR’s secure developer platform for building, refining, validating, and hosting AI models for medical imaging. 

The HOPPR AI Foundry is built on the NVIDIA accelerated computing platform, enabling developers and researchers to train, evaluate, and fine-tune medical imaging AI using high-performance GPU infrastructure and optimized inference software.

“The next generation of medical imaging AI will combine multimodal reasoning with the ability to generate high-fidelity clinical data,” said David Niewolny, director of Business Development for Healthcare and Medical at NVIDIA. “Platforms like the HOPPR AI Foundry enable developers to train and deploy medical imaging on NVIDIA accelerated computing with the performance and scale required for healthcare innovation.”

The platform is built on NVIDIA A100 and H100 GPUs for large-scale training and inference of HOPPR’s proprietary foundation models and customer-specific fine-tuned models. The infrastructure supports optimization with NVIDIA TensorRT and efficient inference performance through the NVIDIA Triton Inference Server. Medical imaging pipelines leverage MONAI-based transforms to accelerate imaging AI workflows.

This integration enables developers building AI applications to experiment with advanced reasoning and generative AI capabilities within HOPPR’s secure, scalable AI development environment.

Developing high-performance medical imaging AI models often requires greater transparency into model outputs and access to large, diverse datasets for training and evaluation. The availability of NVIDIA open models within the HOPPR AI Foundry expands the range of foundation models available to developers building AI applications for medical imaging. 

“Medical Imaging AI is entering a new era where models can reason about images and generate new clinical data to accelerate application development,” HOPPR Co-Founder/CEO Dr. Khan Siddiqui stated. “The HOPPR AI Foundry brings together secure infrastructure, curated datasets, fine-tuning tooling, and advanced AI models to help developers build the next generation of imaging AI applications.”

The HOPPR AI Foundry integrates secure infrastructure, curated datasets, and traceable AI
development workflows designed to support the development of medical imaging AI, while
maintaining strong data controls, auditability, and compliance alignment. 

NVIDIA Open Models Available Within the HOPPR AI Foundry: 

• NV-Reason introduces multimodal reasoning capabilities designed for chest X-ray interpretation workflows in AI development. Rather than producing only final predictions, like differential diagnosis or follow-up recommendations, the model generates structured analytical reasoning steps alongside model outputs, providing greater transparency into how model interpretations are derived. 
• NV-Generate, a latent diffusion model, enables the creation of high-fidelity synthetic DICOM imaging datasets. The model generates realistic 3D medical images along with paired segmentation masks and anatomical annotations, supporting data augmentation and the development of medical imaging models where real-world training data may be limited.

Together, these models represent an emerging class of medical imaging AI technologies that combine reasoning and generative capabilities to support the development and evaluation of next-generation imaging AI systems, according to HOPPR executives.

For developers building medical imaging AI, this combination of reasoning models and synthetic data generation opens new possibilities for dataset expansion, model transparency, and experimentation across imaging AI development workflows. 

The Foundry also supports model fine-tuning through HOPPR’s Forward Deployed Services (FDS). With this engagement model, HOPPR machine learning engineers, data scientists, and clinical experts work alongside customer teams to develop and refine AI models for imaging applications.

Founded in 2019, HOPPR brings together experts in clinical radiology, AI development, and healthcare commercialization to advance the development of transparent and scalable AI for medical imaging. The HOPPR AI Foundry is a secure development platform designed for building, fine-tuning, validating, and hosting AI models for medical imaging. The platform provides curated datasets, traceable development workflows, and secure infrastructure that support responsible AI development aligned with industry quality and regulatory standards.