GPU rental and LLM knowledge base
Choose hardware, estimate a budget and prepare models for inference or fine-tuning.
Choosing a GPU for LLMs: RTX 4090, A100, H100 or GX10
Compare memory requirements, compatibility and the cost of a test to choose hardware for your LLM inference workload.
GPU rental cost: how to estimate your budget
Account for the hourly rate, setup time and storage, then compare configurations by the cost of the result.
GPUs for LoRA and QLoRA: preparing to fine-tune an LLM
How fine-tuning memory differs from inference, and which settings to validate before renting a GPU.
GPU server rental: what to check before your first run
Check the hardware, Docker and CUDA environment, data access and workload before a long experiment.
ASUS Ascent GX10 for LLMs: 128 GB memory and compatibility
How to account for GX10 unified memory, ARM64 support and software compatibility.
One ASUS Ascent GX10 or a two-node cluster?
When one node is enough, when a second helps, and why 2 × 128 GB is not a single 256 GB GPU.
How much memory does your LLM need?
Estimate memory for model weights, context and concurrent requests before choosing a GPU.
Ready to rent a GPU?
Choose a configuration and review what to prepare before the rental starts.