lambda-labs-gpu-cloud
Category: ml-inference-and-ops · License: MIT · Version: 1.0.0
Tags: Infrastructure, GPU Cloud, Training, Inference, Lambda Labs
When to use it
Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.Example requests
Ask your agent in plain language, for example:- “How do I attach a persistent filesystem to a Lambda instance? I launched one yesterday and can’t see it.”
- “I’m fine-tuning Llama-3 70B with FSDP using train.py and need a box with 8x H100 and SSH access for about 3 days. My checkpoints are ~140GB each and I don’t want to lose them if I terminate. Walk me through launching it with curl against the Lambda API and getting my dataset onto it.”
- “I need to train across 128 GPUs with fast interconnect for a pretraining run. What are my options for a managed Slurm cluster with InfiniBand?”
Install
/plugin marketplace add KalarisLabs/research-agent-skills and install the whole ml-inference-and-ops category with /plugin install ml-inference-and-ops@research-agent-skills.