SScoreCompute powers healthcare AI workloads — from medical imaging to genomics — on NVIDIA H100, H200 and B300 GPUs. Enterprise-grade. PIPEDA-compliant. Billed in CAD.
Radiology AI, CT/MRI analysis, pathology slide classification, and real-time diagnostic assistance powered by H200 and B300 GPUs.
Protein folding, genome sequencing analysis, and AI-driven drug candidate screening at scale on GB300 NVL72 racks.
LLM-powered clinical note analysis, ICD coding automation, and real-time patient risk scoring for hospital systems.
Autonomous AI agents for appointment scheduling, patient triage, insurance pre-authorization, and follow-up coordination.
Patient readmission risk, sepsis prediction, population health modelling, and hospital capacity planning with GPU-accelerated ML.
Academic medical research, clinical trial analysis, and large-scale health data processing on on-demand GPU instances.
SScoreCompute infrastructure on AWS Canada Central and Azure Canada East keeps your patient data within Canadian borders — fully compliant with PIPEDA and provincial health privacy laws.
Enterprise-grade reliability on AWS and Azure. Encrypted data in transit and at rest. Isolated GPU instances. SOC 2 compliant infrastructure — because healthcare workloads can't have downtime.
Ideal for clinical AI inference, patient triage models, NLP on clinical notes, and real-time diagnostic support. Cost-efficient and fast.
Built for genomics, protein folding, large medical imaging models, and frontier research. The B300's 192GB VRAM handles the largest healthcare AI models.