3K: Cloud-Native LLM Training and Inference Platform
What it is
3K is a Kubernetes-based platform designed to orchestrate large-scale GPU clusters for serverless large language model (LLM) workloads. It supports the training, fine-tuning, and inference of models with 100B+ parameters across 1000+ GPUs, aiming for 1000+ hours of uninterrupted training.
The problem it solves
The high barrier to entry and complexity involved in orchestrating large, multi-node GPU clusters for LLM training and inference, which typically requires significant expertise in Kubernetes and distributed systems.
What you could use it for
- Serverless LLM development and training for individual developers
- GPU cluster resource sharing and rental for enterprise owners
- Private deployment of LLM development platforms for enterprise teams
- Orchestrating large-scale distributed training on multi-node GPU clusters
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Summary written by an AI model from the source; check the source before you rely on it.