Which affordable GPU would you recommend to train a language model?
There is no one specific "affordable" GPU that would be best for training language models, as they require a significant amount of computational resources and memory. The most cost-effective option will depend on the size and complexity of your model, as well as any additional customization or modifications you may need. However, some commonly used options include:

Nvidia Geforce RTX 3090 or higher - This powerful GPU can handle large language models with ease, and offers advanced features such as real-time ray tracing and high precision texture compression.
NVIDIA Tesla K80 or similar GPU - These powerful GPUs are capable of delivering exceptional performance for larger language models, but may also be more expensive than other options.
AMD Radeon RX 6800 XT/6800 or 6950 - These GPUs offer comparable performance to Nvidia GPUs and are generally less expensive than those from NVIDIA.
It's important to consider budget and available hardware when choosing a GPU for training language models, and to make sure that it has enough power and memory to accommodate your needs. Additionally, keep in mind that using multiple GPUs can improve model training efficiency by reducing the load on individual cards.