How to Use the LLM GPU Finder
Step
01
Choose Your Model
Select from our list of popular LLMs or enter any HuggingFace model name.
Step
02
Explore Training Options
View memory requirements for various training approaches:
- Full fine-tuning
- LoRa fine-tuning
- And others
Step
03
Check Inference Requirements
See memory needs for different precision levels:
- Float32
- Float16
- Int8
- And others
Step
04
Get GPU Recommendations
Based on your use case, we'll suggest the optimal GPU available on Hyperstack.
Step
05
Start Your Project
Click through to Hyperstack and begin working on your LLM project immediately.
Benefits of LLM GPU Finder
Precision Matters:
We account for higher-precision tasks requiring more powerful GPUs.
Training vs. Inference
Our recommendations consider that training typically needs more robust GPUs than inference.
Tailored for You:
We provide personalised suggestions based on your LLM and use case.
