E2E CloudPre-built images and their versions
Pre-built images come from E2E with a machine learning framework already installed, and most of them open JupyterLab. The list changes over time. These are the images in Delhi as of Oct 14, 2026.
| Image | Version | Python | CUDA | Ubuntu | SSH key required | JupyterLab | Image Tag |
|---|---|---|---|---|---|---|---|
| Transformers | v4.51.3 | 3.10 | 12.4 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-pytorch-transformers:24.03-2.3.0-4.51.3 |
| Transformers | v4.45.2 | 3.10 | 12.4 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-pytorch-transformers:24.03-2.3.0-4.45.2 |
| Transformers | v4.39.3 | 3.10 | 12.4 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-pytorch-transformers:24.03-2.3.0-4.39.3 |
| Transformers | v4.31.0 | 3.10 | 12.1 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-pytorch-transformers:23.06-2.1.0-4.31.0 |
| PyTorch | v2.8 | 3.12 | 12.9.1 | 24.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-pytorch:25.06-2.8 |
| PyTorch | v2.3.0 | 3.10 | 12.4 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-pytorch:24.03-2.3.0 |
| PyTorch | v2.1.0 (cuda-12.2) | 3.10 | 12.2 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-pytorch:23.10-2.1.0 |
| PyTorch | v2.1.0 (cuda-12.1) | 3.10 | 12.1 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-pytorch:23.06-2.1.0 |
| PyTorch | v1.14.0 | 3.8 | 12.0 | 20.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-pytorch:23.02-1.14.0 |
| TensorFlow | v2.15.0 | 3.10 | 12.4 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-tensorflow:24.03-2.15.0 |
| TensorFlow | v2.13.0 | 3.10 | 12.2 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-tensorflow:23.10-2.13.0 |
| TensorFlow | v2.12.0 | 3.10 | 12.1 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-tensorflow:23.06-2.12.0 |
| TensorFlow | v1.15.5 | 3.8 | 12.0 | 20.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-tensorflow:23.02-1.15.5 |
| Diffusers | v0.27.2 | 3.10 | 12.4 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-pytorch-diffusers:24.03-2.3.0-0.27.2 |
| Diffusers | v0.18.2 | 3.10 | 12.1 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-pytorch-diffusers:23.06-2.1.0-0.18.2 |
| NVIDIA Nemo | 25.11 | 3.12 | 13.0 | 24.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-nemo:25.11 |
| NVIDIA Nemo | 25.07 | 3.12 | 12.9 | 24.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-nemo:25.07 |
| NVIDIA Nemo | 25.04 | 3.12 | 12.8 | 24.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-nemo:25.04 |
| NVIDIA Nemo | 24.12 | 3.10 | 12.6 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-nemo:24.12 |
| NVIDIA Nemo | 24.03 | 3.10 | 12.3 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-nemo:24.03 |
| NVIDIA Nemo | 24.01.gemma | 3.10 | 12.3 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-nemo:24.01.gemma |
| NVIDIA Nemo | 24.01.starcoder2 | 3.10 | 12.3 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-nemo:24.01.starcoder2 |
| NVIDIA Nemo | 24.01.speech | 3.10 | 12.3 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-nemo:24.01.speech |
| NVIDIA Nemo | 24.01.01.framework | 3.10 | 12.3 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-nemo:24.01.01.framework |
| NVIDIA Nemo | 23.08 | 3.10 | 12.2 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-nemo:23.08 |
| NVIDIA RAPIDS | v23.06 | 3.10 | 12.1 | 20.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-rapids-cuda:23.06-11.8 |
| NVIDIA RAPIDS | v24.02 | 3.10 | 12.0 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-rapids-cuda:24.02-12.0 |
| Fast.AI | v2.7.14 | 3.10 | 12.1 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-pytorch-fastai:23.06-2.1.0-2.7.14 |
| SciPy | v1.7.0 | 3.8 | 12.1 | 20.04 | No | Yes | registry.e2enetworks.net/aimle2e/scipy-python-cuda:1.7.0-3.8-12.1 |
| Jupyter | py3.10-cuda12.1 | 3.10 | 12.1 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/jupyter-python-cuda:3.10-12.1 |
| Jupyter | py3.8-cuda12.1 | 3.8 | 12.1 | 20.04 | No | Yes | registry.e2enetworks.net/aimle2e/jupyter-python-cuda:3.8-12.1 |
| Python 3.10 | CUDA - 12.4 | 3.10 | 12.4 | 22.04 | Yes | No | registry.e2enetworks.net/aimle2e/ubuntu-cuda:22.04-12.4 |
| Python 3.10 | CUDA - 12.5 | 3.10 | 12.5 | 22.04 | Yes | No | registry.e2enetworks.net/aimle2e/ubuntu-cuda:22.04-12.5 |
| Python 3.10 | CUDA - 12.6 | 3.10 | 12.6 | 22.04 | Yes | No | registry.e2enetworks.net/aimle2e/ubuntu-cuda:22.04-12.6 |
| Python 3.10 | CUDA - 13.1 | 3.10 | 13.1 | 22.04 | Yes | No | registry.e2enetworks.net/aimle2e/ubuntu-cuda:22.04-13.1 |
| Python 3.10 | CUDA - 13.0 | 3.10 | 13.0 | 22.04 | Yes | No | registry.e2enetworks.net/aimle2e/ubuntu-cuda:22.04-13.0 |
| Python 3.10 | CUDA - 12.9 | 3.10 | 12.9 | 22.04 | Yes | No | registry.e2enetworks.net/aimle2e/ubuntu-cuda:22.04-12.9 |
| Python 3.10 | CUDA - 13.1 | 3.10 | 13.1 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/ubuntu-cuda-jupyter:22.04-13.1 |
| Python 3.10 | CUDA - 13.0 | 3.10 | 13.0 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/ubuntu-cuda-jupyter:22.04-13.0 |
| Python 3.10 | CUDA - 12.9 | 3.10 | 12.9 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/ubuntu-cuda-jupyter:22.04-12.9 |
| Python 3.10 | CUDA - 12.8 | 3.10 | 12.8 | 22.04 | Yes | No | registry.e2enetworks.net/aimle2e/ubuntu-cuda:22.04-12.8 |
| Python 3.10 | CUDA - 12.8 | 3.10 | 12.8 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/ubuntu-cuda-jupyter:22.04-12.8 |
| Python 3.10 | CUDA - 12.6 | 3.10 | 12.6 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/ubuntu-cuda-jupyter:22.04-12.6 |
| Python 3.10 | CUDA - 12.5 | 3.10 | 12.5 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/ubuntu-cuda-jupyter:22.04-12.5 |
| Python 3.10 | CUDA - 12.4 | 3.10 | 12.4 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/ubuntu-cuda-jupyter:22.04-12.4 |
| Python 3.10 | CUDA - 12.2 | 3.10 | 12.2 | 22.04 | Yes | No | registry.e2enetworks.net/aimle2e/ubuntu-cuda:22.04-12.2 |
| Python 3.10 | CUDA - 12.3 | 3.10 | 12.3 | 22.04 | Yes | No | registry.e2enetworks.net/aimle2e/ubuntu-cuda:22.04-12.3 |
| Python 3.10 | CUDA - 12.2 | 3.10 | 12.2 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/ubuntu-cuda-jupyter:22.04-12.2 |
| Python 3.10 | CUDA - 12.3 | 3.10 | 12.3 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/ubuntu-cuda-jupyter:22.04-12.3 |
| Ubuntu | 24.04-cuda13.0 | Not stated | 13.0 | 24.04 | Yes | No | golden-ubuntu2404-cuda13 |
| Ubuntu | 22.04 | Not stated | None | 22.04 | Yes | No | golden-ubuntu2204 |
| Ubuntu | 24.04 | Not stated | None | 24.04 | Yes | No | golden-ubuntu2404 |
| Ubuntu | 22.04 | 3.10 | None | 22.04 | Yes | No | registry.e2enetworks.net/aimle2e/ubuntu:22.04 |
| Ubuntu | 20.04 | 3.8 | None | 20.04 | Yes | No | registry.e2enetworks.net/aimle2e/ubuntu:20.04 |
| Ubuntu | 22.04 | 3.10 | None | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/ubuntu-jupyter:22.04 |
| Ubuntu | 20.04 | 3.8 | None | 20.04 | No | Yes | registry.e2enetworks.net/aimle2e/ubuntu-jupyter:20.04 |
| TensorRT-LLM Engine Builder | v0.12.0 | Not stated | None | Not stated | No | Yes | registry.e2enetworks.net/aimle2e/triton_trt_llm_jupyter:0.12.0 |
| TensorRT-LLM Engine Builder | v0.11.0 | Not stated | None | Not stated | No | Yes | registry.e2enetworks.net/aimle2e/triton_trt_llm_jupyter:0.11.0 |
| TensorRT-LLM Engine Builder | v0.10.0 | Not stated | None | Not stated | No | Yes | registry.e2enetworks.net/aimle2e/triton_trt_llm_jupyter:0.10.0 |
| TensorRT-LLM Engine Builder | v0.9.0 | Not stated | None | Not stated | No | Yes | registry.e2enetworks.net/aimle2e/triton_trt_llm_jupyter:0.9.0 |
| TensorRT-LLM Engine Builder | v0.7.2 | Not stated | None | Not stated | No | Yes | registry.e2enetworks.net/aimle2e/triton_trt_llm_jupyter:0.7.2 |
| CLIP | 2.2.2-12.1 | 3.10 | None | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/pytorch-cuda-clip:2.2.2-12.1 |
| Detectron | v0.6 | 3.10 | None | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/pytorch-detectron:2.2.2-0.6 |
| vLLM | v0.15.1 | 3.12.12 | 12.9 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/vllm-jupyter:v0.15.1 |
| vLLM | v0.14.0 | 3.12.12 | 12.9 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/vllm-jupyter:v0.14.0 |
| vLLM | v0.13.0 | 3.12.12 | 12.9 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/vllm-jupyter:v0.13.0 |
| vLLM | v0.12.0 | 3.12.12 | 12.9 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/vllm-jupyter:v0.12.0 |
| vLLM | v0.11.2 | 3.12.12 | 12.9 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/vllm-jupyter:v0.11.2 |
| vLLM | v0.10.2 | 3.12.11 | 12.8 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/vllm-jupyter:v0.10.2 |
| vLLM | 0.9.0-pre-release | 3.12.10 | 12.8 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/vllm-jupyter:v0.9.0-pre-release |
| vLLM | v0.5.4 | 3.10 | 12.4 | 20.04 | No | Yes | registry.e2enetworks.net/aimle2e/vllm-jupyter:0.5.4 |
| vLLM | v0.5.0 | 3.10 | 12.4 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/vllm-jupyter:0.5.0 |
| Julia | v1.9.3 | 3.11 | None | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/julia-jupyter:1.9.3 |
| ComfyUI | 0.11.1 | Not stated | None | 22.04 | No | No | registry.e2enetworks.net/aimle2e/ubuntu-comfyui:22.04-0.11.1 |
| ComfyUI | 0.3.5 | Not stated | None | 22.04 | No | No | registry.e2enetworks.net/aimle2e/ubuntu-comfyui:22.04-0.3.35 |
| FramePack | 25.04.18 | Not stated | None | 22.04 | No | No | registry.e2enetworks.net/aimle2e/ubuntu-framepack:22.04-apr18 |
| NVIDIA Riva-Speech | 2.17.0-servicemaker | 3.10 | 12.5 | 24.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-riva-speech:2.17.0-servicemaker |
| NVIDIA Riva-Speech | 2.19.0 | 3.12 | 12.8 | 24.04 | No | Yes | registry.e2enetworks.net/aimle2e/nvidia-riva-speech:2.19.0 |
| Triton | 2.59.0 | 3.12 | 12.9 | 24.04 | No | Yes | registry.e2enetworks.net/aimle2e/triton-server:25.06-2.59.0 |
| Debian | 12 | Not stated | None | Not stated | Yes | No | golden-debian12 |
| SGLang | 0.4.10-cu126 | 3.10.12 | 12.6 | 22.04 | No | Yes | registry.e2enetworks.net/aimle2e/sglang-jupyter:v0.4.10cu126-4.6.3 |
| Alma Linux | 10 | Not stated | None | Not stated | Yes | No | golden-alma10 |
| Alma Linux | 9 | Not stated | None | Not stated | Yes | No | golden-alma9 |
| Rocky Linux | 10 | Not stated | None | Not stated | Yes | No | golden-rocky10 |
| Rocky Linux | 9 | Not stated | None | Not stated | Yes | No | golden-rocky9 |
You can add SSH keys to an instance from any image. The images marked SSH key required need one to launch, because you reach them only over SSH.
“None” means the image’s description names no CUDA version, as on a CPU-only or an operating-system image. “Not stated” means the description leaves that value out.
What a pre-built image includes
Section titled “What a pre-built image includes”What follows holds for four pre-built images: TensorFlow v2.15.0, Transformers v4.51.3, Jupyter py3.10-cuda12.1, and PyTorch v2.8. On any other image, check these points on the instance itself.
On all four, JupyterLab and its terminal run as root, sudo is passwordless, and you
install conda or mamba yourself if you need them. rsync comes with the TensorFlow and Transformers images. On the
Jupyter and PyTorch images, install it yourself, as
Copy files to and from an instance shows.
Of the four, TensorBoard comes with the PyTorch, TensorFlow, and Transformers images; see Use TensorBoard on an instance.
To launch one of these images, see Create an instance.