Simulation & AI Compute InfraExplainer
How Much GPU Memory Does SmolVLA Fine-Tuning Need? A VRAM Calculation
Split SmolVLA fine-tuning memory into weights, gradients, optimizer state and activations, then size batches for 24 GB and 48 GB GPUs from …
VRAM
- Simulation & AI Compute InfraTutorial
Sizing Memory and Bandwidth for On-Device VLA Models: The Math to Do Before Putting a 7B Model on a Jetson
Step-by-step sizing for running a VLA on a robot: weight memory, vision tokens, KV cache, headroom and bandwidth-bound speed, using Jetson …