Florian Roscheck flrs

🚀 Train TFLite Models for Google Coral on GPU (GCP Guide, 2025 Edition)

Florian Roscheck, July 2025

Want to train TensorFlow Lite models for Google Coral Edge TPU with GPU acceleration? As of 2025, Google Colab no longer supports tflite-model-maker with GPU due to outdated Python dependencies.

This guide walks you through setting up a GPU-powered virtual machine on Google Cloud Platform (GCP) that works seamlessly with TensorFlow 2.8, Python 3.9, and CUDA 11.3 — all preconfigured and ready for model training.

✅ Works with NVIDIA T4 GPU and TensorFlow 2.8
✅ Full dependency list included

	# Saturn Cloud Startup Script for Running GPU-enabled modeltime.gluonts
	#
	# How to use:
	# 1. Create an account on saturncloud.io
	# 2. Create a new project in Saturn Cloud
	# 3. Select image "saturncloud/saturn-gpu:2020.12.23" as image for your project
	# 4. Copy and paste code below into "Advanced Settings (optional)" > "Start Script (Bash)".
	# (This code will install R, a Jupyter R kernel, modeltime.gluonts, and prepare a Python environment
	# for executing GluonTS.)
	# 5. The startup script takes about 40 min to run. After that, you can start Jupyter Lab in your Saturn Cloud

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