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NVIDIA-YOLO27-Orin

9%
by NVIDIA

TensorRT-optimized YOLO27 with mixed-precision graph for Orin & Thor. Ships as TRT engine plan + ONNX fallback.

Object detectionApache-2.0INT8FP16MIXEDnvidiavendor-tunedtrt
64K downloads 9.8K deploymentsUpdated Apr 18, 2028
Headline:8.4ms · NVIDIA Jetson Orin Nano · MIXED
OverviewBenchmarks3Sim ResultsDeploy3FilesDiscussion23

Deploy NVIDIA-YOLO27-Orin

Pick a chip family. We hand you the artifacts (HEF, TRT engine, Core ML, ONNX) plus a one-click endpoint deploy. For private endpoints, on-prem deploy, or air-gapped distribution, see Enterprise.

NNVIDIA Jetson Orin Nano
# Build a TensorRT engine
$ focsle pull nvidia/nvidia-yolo27-orin --target jetson-orin-nano
$ focsle build trt --plan nvidia-yolo27-orin.plan \
    --precision mixed \
    --workspace 4G

# Run with TensorRT
import focsle.runtime as fr
m = fr.load("nvidia-yolo27-orin.plan", target="trt")
out = m.run(frame)

One-click endpoint

Spins up a managed endpoint in the closest region. Pro and above.

Or deploy yourself