Kubernetes applications
Kobayashi Applications streamlines access to a curated library of prebuilt images for your AI/ML workloads: From popular inference engines to Kubernetes-native job schedulers, these ready-to-use assets cut setup time so you can launch workloads faster.
vLLM
A fast and easy-to-use library for LLM inference
Meta Llama 3.3 70B Instruct powered by vLLM
Multilingual, strong coding/reasoning, efficient inference via vLLM
Groq LLaMA3-70B-8192
Groq hardware-accelerated LLaMA3 model, high-speed LLM inference
Meta Llama 4 Scout 17B Instruct powered by vLLM
Multimodal MoE model, 10M context, efficient inference via vLLM
Kubeflow
The Kubernetes-native machine learning (ML) toolkit
Mistral Nemo Instruct 2407 powered by vLLM
Mistral fine-tuned model, efficient LLM inference via vLLM
JupyterHub with PyTorch and CUDA
Multi-user JupyterHub with PyTorch...
Meta Llama 4 Maverick 17B 128E Instruct powered by vLLM
Multimodal 128-expert model, 128K context, efficient via vLLM
Ollama
Local open-source LLM tool, privacy-focused
Stable Diffusion web UI
A browser interface based on Gradio library for Stable Diffusion.
Volcano
An operator-based system for high-performance workloads with enhanced scheduling and resource management...
MLflow for Kubernetes
Manage your ML experiments in a Kubernetes cluster.