[Infographics] BuildAIers Insights on Kubernetes vs. Slurm: Does Your Training Framework Really Impact LLM Quality?
Insights from AI Builders in MLOps.community
Kubernetes vs. Slurm for LLM Training: Does Infrastructure Impact Model Quality? 🤔
The MLOps Community recently asked whether state-of-the-art LLMs care if you train them on Kubernetes or Slurm.
Key Insights:
Flexibility vs. Performance: K8s excels in deployment flexibility, but smaller teams may face GPU and networking limitations. Slurm (and managed HPC clouds) can offer faster and more cost-effective training for large-scale runs.
Real-World Examples: The discussion compared Slurm's use with Stable Diffusion to K8s deployments at major players like TikTok, Bloomberg, and DBRX.
Decision Factors: Consider deployment needs, team size, infrastructure limitations, and cost when choosing.
How are you handling LLM training infrastructure? Share your stack and lessons learned below! 👇
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