Healthcare
9 articlesDigital Pathology at Scale: Whole-Slide Image AI GPU Planning
A whole-slide image is gigapixels, not megapixels, so pathology AI is a tiling and throughput problem before it is a model problem. Storage and scanning capacity usually constrain an Indian…
AI Drug Discovery: GPU Planning for Protein and Molecular Models
Structure prediction, docking and molecular dynamics have very different GPU profiles, and Indian pharma teams frequently size for the wrong one. This sets out where the compute actually goes across…
Federated Learning Across Hospitals: GPU and Network Planning
Federated learning trains a shared model without pooling patient data, which is why it appeals to Indian hospital networks under DPDP. The infrastructure cost is real: every participating site needs…
Imaging Foundation Models: GPU Sizing for Radiology in 2026
Radiology moved from single-finding algorithms to foundation models covering many conditions in one pass, with the first such device cleared in January 2026. One model replacing fourteen changes both the…
GPU-Accelerated Genomics: Sizing Secondary Analysis for Clinical Labs in 2026
Turning raw sequencer reads into variants is now GPU-bound work. NVIDIA Parabricks 4.6 with DeepVariant runs short-read whole-genome secondary analysis up to ~100x faster than CPU pipelines. How to size…
Ambient Clinical AI Scribes: On-Prem GPU Planning for Indian Hospitals
An ambient scribe is three GPU workloads - streaming ASR, clinical extraction, LLM note drafting - and a 2-4 GPU server covers a large Indian OPD. Western benchmarks fail on…
Healthcare Imaging GPU Server Planning in India
Planning a GPU server for healthcare imaging in India means balancing DICOM throughput, AI inference latency, and data-residency obligations under the DPDP Act 2023. Start with your modality mix and…
Healthcare AI Infrastructure Readiness in India
Healthcare AI infrastructure needs data-governance, imaging throughput, storage retention, and uptime planning before model choice. For Indian providers, RDP GPU Mart can frame GPU servers and storage as a governed…
On-Prem GPU for Healthcare AI & Medical Imaging (India)
Indian hospitals are running AI inside live diagnostic workflows — and most keep it on-premises. On-prem accounted for ~58% of healthcare-AI deployments in 2025, because patient data (PHI) is treated…