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V-JEPA-AC-Edge

22%
by Meta FAIR-Edge

Action-conditioned V-JEPA for world-model planning at the edge.

Vision-Language-ActionMITINT8FP16world-modelplanning
23K downloads 480 deploymentsUpdated Mar 11, 2028
Headline:18.4ms · NVIDIA Jetson Thor · MIXED
OverviewBenchmarks3Sim ResultsDeploy4FilesDiscussion23

Deploy V-JEPA-AC-Edge

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 AGX Orin
# Build a TensorRT engine
$ focsle pull meta-fair-edge/v-jepa-ac-edge --target jetson-agx-orin
$ focsle build trt --plan v-jepa-ac-edge.plan \
    --precision fp16 \
    --workspace 4G

# Run with TensorRT
import focsle.runtime as fr
m = fr.load("v-jepa-ac-edge.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