While the Orin's 60W TDP is relatively low, it's important to consider thermal management, especially when pushing the GPU to its limits. The 90 tokens/sec estimate is a reasonable starting point, but actual performance will depend on factors like the specific inference framework used, quantization level, and batch size. The large VRAM headroom means that users can experiment with larger batch sizes to improve throughput, but this should be balanced against latency requirements. Quantization to INT8 or even lower precision could further improve performance, although careful evaluation is needed to ensure minimal impact on embedding quality.
If you encounter performance bottlenecks, profile the application to identify the specific areas consuming the most resources. Optimize data loading and preprocessing pipelines to minimize CPU overhead. Ensure that the Jetson AGX Orin is adequately cooled to prevent thermal throttling, which can significantly impact performance. For production deployments, implement robust monitoring and alerting to proactively identify and address any performance issues.