Which private deployment model supports low GPU memory requirements and no vendor lock-in?

The private deployment model that supports low GPU memory requirements and no vendor lock-in is typically a self-hosted open-source model.

If you mean a specific product/category from a vendor comparison, the answer is usually:

• On-premises / private cloud deployment of an open model
• often quantized models (e.g., 4-bit/8-bit) to reduce GPU memory use

This setup gives you:

• Low GPU memory requirements via model compression/quantization
• No vendor lock-in because you control the weights, runtime, and infrastructure

If you want, I can also help identify the exact model from a specific chart or vendor document if you share it.