Accelerated computing
Physical AI, at the tool
Computational lithography, defect classification on e-beam and SEM imagery, per-wafer virtual metrology and a full-fab twin are among the most compute-intensive workloads in manufacturing. Waferira keeps IP-sensitive inference and feature storage at the fab edge and runs training, simulation and optimisation on GPUs the fab controls.
Metropolis · DeepStream · Holoscan · TensorRT
Inspection vision
Inline optical, e-beam and SEM imagery and sensor fusion on fab-edge GPUs. 10 to 50 inspection streams per pilot module and sub-200 ms priority defect triage are the design targets.
CUDA · RAPIDS · Triton
Virtual metrology and FDC
High-volume multivariate tool-sensor and FDC time-series scoring on every wafer, 1 to 5 seconds per lot-step in the design, with nightly retraining as recipes and chambers drift.
DGX or HGX · CUDA · cuDNN
Training
Defect, virtual-metrology and process-response models retrained per process family; 500 to 2,000 GPU-hours per family per quarter is the design target. Dedicated capacity is planned.
Omniverse · OVX
Fab twin
As-run process and flow simulation, 1,000 to 10,000 candidate recipe, metrology and dispatch scenarios per fab per day in the design. OVX access is planned.
Cosmos · Omniverse Replicator
Synthetic rare events
Rare defect, particle, overlay-drift, CMP-dishing and film-uniformity variants generated and validated against real distributions before promotion. Planned.
cuOpt · RAPIDS
Dispatch optimisation
Constrained WIP dispatch re-optimised every 1 to 5 minutes across reticle, chamber, route, tool-state and cycle-time constraints.
Jetson Orin · Isaac · TensorRT
AMHS and handling
Local FOUP and robot perception and exception detection at the fab edge. Jetson Thor is planned for higher sensor density.
NIM · NeMo · Retriever · Guardrails · AI Enterprise
Process reasoning
Tenant-isolated process Q&A and OCAP reasoning over recipes, SEMI procedures and audit logs, with citations enforced on every answer.