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Check out the documentation for more information.

SAM3 TensorRT Engine

Results and visual examples

Hardware-specific SAM3 TensorRT artifacts and runtime metadata. Prompted masks from another SAM3 runtime are not proof for these exact engines. Validate the engine revision, GPU architecture, TensorRT version and metadata together before use.

Available build records: artifacts/sam3.fixed-prompts@v1/h100-sm90/3c7d54ccd0644c963e9526b47a5b39eb9c7a045a1066ee0a41e2d19f08018b25/runtime-metadata.json, artifacts/sam3.fixed-prompts@v1/rtx4090-sm89/3c7d54ccd0644c963e9526b47a5b39eb9c7a045a1066ee0a41e2d19f08018b25/runtime-metadata.json, artifacts/sam3.fixed-prompts@v1/rtx5090-sm120/1dd326d35db80e1c5db8cba126155fd8e3cd4416053316ff3434b3bb5dede5dc/runtime-metadata.json, artifacts/sam3.fixed-prompts@v1/rtx5090-sm120/2a0f12b7c89d9a671f5e06f29a136937fb2b7ea0522b2bfa975f73d4942dd4a0/runtime-metadata.json, artifacts/sam3.fixed-prompts@v1/rtx5090-sm120/3c7d54ccd0644c963e9526b47a5b39eb9c7a045a1066ee0a41e2d19f08018b25/runtime-metadata.json, artifacts/sam3.fixed-prompts@v1/rtx5090-sm120/9fc8590ceb69ac518e7c98eb36d5e28a4572b1a08e0af0e71d42f76c4c6fa788/runtime-metadata.json, metadata.json.

No checkpoint-matched photo gallery was located in the existing evidence reviewed for this update. The files and runtime records below are the available evidence; no visual quality claim is inferred from their presence.

Evidence provenance

This documentation update reuses saved results; it does not rerun inference or change weights. The starting repository revision is 7787e2951766. Captions distinguish model predictions, training diagnostics, and aggregate metrics. Qualitative examples are not a representative accuracy estimate.

Gallery sources and SHA-256 checksums.

Pre-built TensorRT engine for SAM3 segmentation.

Specifications

Setting Value
Resolution 1008x1008
Batch Size 1-8
Text Max Length 32
Precision fp16
TensorRT 10.14.1.48
Built on NVIDIA GeForce RTX 4090
Engine Size 1597.92 MB

Usage

The engine is automatically downloaded when using SAM3 with TensorRT enabled.

from ai.models.sam3 import Sam3SegmentationModel

model = Sam3SegmentationModel()
result = await model.segment_text(image, payload=payload, text_prompts="person")

Rebuild

make run-ai-local -- python -m scripts.tensorrt.sam3 --force

Built at: 2026-01-22 12:47:50 UTC

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