Project AURIONAI Use-Cases Research & Innovation

Runtimes

Inference runtimes and formats that decide where a model can run.

Models per Runtime

ECMWF

Anemoi

Owner
ECMWF
Licence
not in the notes
Latest release
not in the notes
Backends
not in the notes
Notes
Open-source framework used to train AIFS
Models
1
Sources
  1. ECMWF’s ensemble AI forecasts become operational ecmwf.int https://www.ecmwf.int/en/about/media-centre/news/2025/ecmwfs-ensemble-ai-forecasts-become-operational

ComfyUI

Owner
not in the notes
Licence
not in the notes
Latest release
not in the notes
Backends
not in the notes
Notes
Claims MiniMax H3 runs in 12 GB with offload
Models
1
Sources
  1. MiniMax Ships H3 Weights , With the US and EU Excluded rits.shanghai.nyu.edu https://rits.shanghai.nyu.edu/ai/minimax-ships-h3-weights-with-the-us-and-eu-excluded/
Apple

Core ML (via Core ML Tools)

Owner
Apple
Licence
coremltools BSD-style licence (Apple 2020 to 2023)
Latest release
coremltools 9.0 (10 Nov 2025)
Backends
not in the notes
Notes
Converts TensorFlow 1.x/2.x, PyTorch, scikit-learn, XGBoost and LibSVM to Core ML format for deployment through Xcode; Core ML runtime ships with Apple OSes (runtime licence not checked)
Models
not in the notes
Sources
  1. GitHub - apple/coremltools: Core ML tools contain supporting tools for Core ML model conversion, editing, and validation. github.com https://github.com/apple/coremltools
  2. Client Challenge pypi.org https://pypi.org/project/coremltools/
DMLC community

DGL

Owner
DMLC community
Licence
Apache License 2.0
Latest release
2.2.1 (13 May 2024)
Backends
not in the notes
Notes
No PyPI release since May 2024
Models
not in the notes
Sources
  1. pypi.org/pypi/dgl/json https://pypi.org/pypi/dgl/json
  2. GitHub - dmlc/dgl: Python package built to ease deep learning on graph, on top of existing DL frameworks. github.com https://github.com/dmlc/dgl
Meta

ExecuTorch

Owner
Meta
Licence
BSD 3-Clause
Latest release
1.5.1 (22 Sep 2026)
Backends
XNNPACK, Core ML (ANE), MPS (deprecated), Qualcomm, MediaTek, Samsung Exynos, Arm Ethos-U, Vulkan, OpenVINO, NXP, Cadence DSP, CUDA/Metal (experimental)
Notes
AOT export (torch.export) to .pte, C++ runtime, 50 KB base footprint. Used in Instagram, WhatsApp, Quest 3, Ray-Ban Meta glasses
Models
4
Sources
  1. GitHub - pytorch/executorch: On-device AI across mobile, embedded and edge for PyTorch github.com https://github.com/pytorch/executorch
  2. executorch pypi.org https://pypi.org/project/executorch/
Alibaba (Qwen)

FunASR toolkit

Owner
Alibaba (Qwen)
Licence
MIT License
Latest release
not in the notes
Backends
not in the notes
Notes
Model zoo includes Fun-ASR, SenseVoice, Paraformer, CAM++, Whisper
Models
not in the notes
Sources
  1. GitHub - modelscope/FunASR: Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diariza github.com/modelscope/FunASR https://github.com/modelscope/FunASR
  2. GitHub - modelscope/FunASR: Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diariza github.com/modelscope/FunASR https://github.com/modelscope/FunASR
Genesis AI

Genesis / Genesis World

Owner
Genesis AI
Licence
Apache License 2.0
Latest release
Genesis World 1.0 (May 2026)
Backends
not in the notes
Notes
Multi-physics engine, Nyx renderer, Quadrants compiler (forked from Taichi, Jun 2025); about 30k GitHub stars
Models
not in the notes
Sources
  1. GitHub - Genesis-Embodied-AI/genesis-world: Simulation platform for general-purpose robotics & embodied AI learning. github.com https://github.com/Genesis-Embodied-AI/Genesis
  2. Genesis AI launches with $105M seed funding from Eclipse, Khosla to build AI models for robots | TechCrunch techcrunch.com https://www.techcrunch.com/2025/07/01/genesis-ai-launches-with-105m-seed-funding-from-eclipse-khosla-to-build-ai-models-for-robots
AgiBot (Zhiyuan)

Genie Sim 3.0

Owner
AgiBot (Zhiyuan)
Licence
not in the notes
Latest release
3.0
Backends
not in the notes
Notes
Simulation platform used for GO-2 sim-to-real
Models
not in the notes
Sources
  1. AGIBOT releases GO-2 foundation model for embodied AI - The Robot Report therobotreport.com https://www.therobotreport.com/agibot-releases-go-2-foundation-model-embodied-ai/
NVIDIA

Isaac Lab (on Isaac Sim)

Owner
NVIDIA
Licence
BSD 3-Clause
Latest release
Isaac Lab 3.0 (referenced Mar 2026) (6 Nov 2025)
Backends
GPU-parallel physics
Notes
GPU-native successor to Isaac Gym; photoreal rendering, sensor sims, domain randomisation; Newton integration planned. Licence BSD-3 unverified
Models
not in the notes
Sources
  1. Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning arxiv.org https://arxiv.org/abs/2511.04831
  2. NVIDIA GR00T N1.7 Hits Early Access for Humanoids | Origin of Bots originofbots.com https://www.originofbots.com/news/nvidia-gr00t-n17-hits-early-access-for-humanoids

LeRobot

Owner
not in the notes
Licence
not in the notes
Latest release
not in the notes
Backends
not in the notes
Notes
GR00T N1.7 integration
Models
1
Sources
  1. NVIDIA GR00T N1.7 Hits Early Access for Humanoids | Origin of Bots originofbots.com https://www.originofbots.com/news/nvidia-gr00t-n17-hits-early-access-for-humanoids
Google

LiteRT (formerly TensorFlow Lite) and LiteRT-LM

Owner
Google
Licence
Apache License 2.0
Latest release
ai-edge-litert 2.3.0 (6 Oct 2026)
Backends
On-device; GPU and NPU details unverified
Models
2
Sources
  1. LiteRT: High-Performance On-Device Machine Learning Framework  |  Google AI Edge  |  Google for Developers ai.google.dev https://ai.google.dev/edge/litert
  2. GitHub - google-ai-edge/LiteRT: LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deploy github.com https://github.com/google-ai-edge/LiteRT
  3. ai-edge-litert pypi.org https://pypi.org/project/ai-edge-litert/
ggml-org

llama.cpp

Owner
ggml-org
Licence
MIT License
Latest release
not in the notes
Backends
Metal, CUDA, Vulkan, SYCL, CANN (Ascend), HIP, Hexagon, OpenCL (Adreno), WebGPU, ZenDNN, MUSA, OpenVINO (in progress)
Notes
1.5-bit to 8-bit integer quantization
Models
3
Sources
  1. GitHub - modelscope/FunASR: Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diariza github.com https://github.com/modelscope/FunASR
  2. GitHub - ggml-org/llama.cpp: LLM inference in C/C++ github.com https://github.com/ggml-org/llama.cpp
MLC (mlc-ai project, CMU/OctoAI origin)

MLC LLM

Owner
MLC (mlc-ai project, CMU/OctoAI origin)
Licence
Apache License 2.0
Latest release
not in the notes
Backends
Vulkan, ROCm, CUDA, Metal (macOS, iOS/iPadOS A-series), Intel GPU via Vulkan/Metal, WebGPU and WASM (browser), OpenCL on Adreno and Mali (Android)
Notes
MLCEngine OpenAI-compatible REST, Python and JS API; builds on Apache TVM; companion WebLLM
Models
not in the notes
Sources
  1. GitHub - mlc-ai/mlc-llm: Universal LLM Deployment Engine with ML Compilation github.com https://github.com/mlc-ai/mlc-llm

MONAI

Owner
not in the notes
Licence
Apache License 2.0
Latest release
not in the notes
Backends
not in the notes
Notes
Core, Label and Deploy components for medical imaging AI; NVIDIA and King's College London origin unverified
Models
not in the notes
Sources
  1. GitHub - Project-MONAI/MONAI: AI Toolkit for Healthcare Imaging github.com https://github.com/Project-MONAI/MONAI
  2. monai.io https://monai.io/
Google DeepMind

MuJoCo (with MJX and MuJoCo Warp)

Owner
Google DeepMind
Licence
Apache License 2.0
Latest release
not in the notes
Backends
not in the notes
Notes
Monthly release cadence; MJX is a JAX branch; Gemini Robotics On-Device SDK ships a MuJoCo simulator
Models
1
Sources
  1. GitHub - google-deepmind/mujoco: Multi-Joint dynamics with Contact. A general purpose physics simulator. github.com https://github.com/google-deepmind/mujoco
  2. aiwiki.ai/wiki/gemini_robotics_2 https://aiwiki.ai/wiki/gemini_robotics_2
Linux Foundation

Newton

Owner
Linux Foundation
Licence
Apache License 2.0
Latest release
not in the notes
Backends
GPU physics on NVIDIA Warp (requires Warp 1.18); MuJoCo Warp as primary backend
Notes
OpenUSD; differentiable. Initiated by Disney Research, Google DeepMind and NVIDIA; docs CC-BY-4.0
Models
not in the notes
Sources
  1. GitHub - newton-physics/newton: An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting rob github.com https://github.com/newton-physics/newton
NVIDIA

NVIDIA cuOpt

Owner
NVIDIA
Licence
Apache License 2.0
Latest release
26.10
Backends
GPU-accelerated
Notes
Optimisation solver (not a neural model); Python API and server; TSP, VRP, PDP, LP, QP, MIP (beta)
Models
not in the notes
Sources
  1. GitHub - NVIDIA/cuopt: GPU accelerated decision optimization github.com https://github.com/NVIDIA/cuopt
NVIDIA

NVIDIA NIM

Owner
NVIDIA
Licence
not in the notes
Latest release
not in the notes
Backends
not in the notes
Notes
Serves Cosmos 3 and Alpamayo 1.5
Models
4
Sources
  1. investor.nvidia.com/news/press-release-details/2026/NVIDIA-Launch... https://investor.nvidia.com/news/press-release-details/2026/NVIDIA-Launches-Cosmos-3-the-Open-Frontier-Foundation-Model-for-Physical-AI/default.aspx
  2. Alpamayo-1.5-10B | NVIDIA NGC catalog.ngc.nvidia.com https://catalog.ngc.nvidia.com/orgs/nim/nvidia/models/alpamayo-1-5-10b/-
Ollama

Ollama

Owner
Ollama
Licence
MIT License
Latest release
not in the notes
Backends
CPU/GPU details not fetched
Notes
Local LLM runner, GGUF-based
Models
11
Sources
  1. library ollama.com https://ollama.com/library
  2. ollama/LICENSE at main , ollama/ollama github.com https://github.com/ollama/ollama/blob/main/LICENSE
Microsoft AI

ONNX Runtime

Owner
Microsoft AI
Licence
MIT License
Latest release
1.31.0 (9 Oct 2026)
Backends
CPU: default CPU, Intel DNNL, Intel OpenVINO, XNNPACK. GPU: NVIDIA CUDA, NVIDIA TensorRT, DirectML, AMD MIGraphX, AMD ROCm (deprecated), WebGPU. IoT/edge/mobile: Intel OpenVINO, Rockchip NPU (preview), Arm Compute Library (preview), Android NNAPI, Arm NN (preview), CoreML (preview), Qualcomm QNN, XNNPACK. Other: Xilinx Vitis-AI, TVM, Huawei CANN, Azure (all preview)
Models
1
Sources
  1. GitHub - microsoft/onnxruntime: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator github.com https://github.com/microsoft/onnxruntime
  2. Execution Providers onnxruntime.ai https://onnxruntime.ai/docs/execution-providers/
  3. onnxruntime pypi.org https://pypi.org/project/onnxruntime/
Intel

OpenVINO

Owner
Intel
Licence
Apache License 2.0
Latest release
2026.4.1 (1 Oct 2026)
Backends
CPU (x86, ARM), Intel integrated and discrete GPU, Intel NPU
Notes
Imports PyTorch, TensorFlow, ONNX, TensorFlow Lite, PaddlePaddle, JAX/Flax. Companion OpenVINO Model Server
Models
7
Sources
  1. aisingapore/Qwen-SEA-LION-v4.5-27B-IT , Hugging Face huggingface.co https://huggingface.co/aisingapore/Qwen-SEA-LION-v4.5-27B-IT
  2. GitHub - openvinotoolkit/openvino: OpenVINO™ is an open source toolkit for optimizing and deploying AI inference github.com https://github.com/openvinotoolkit/openvino
  3. Client Challenge pypi.org https://pypi.org/project/openvino/
PyG team

PyTorch Geometric (PyG)

Owner
PyG team
Licence
MIT License
Latest release
2.8.0.post1 (20 Jul 2026)
Backends
PyTorch 2.9 to 2.12
Notes
2.8.0 adds RelBench-to-PyG converter, GRetriever example, LLM txt2qa; 2.7.0 added LPFormer, SGFormer, Polynormer
Models
not in the notes
Sources
  1. Releases , pyg-team/pytorch_geometric github.com https://github.com/pyg-team/pytorch_geometric/releases
  2. pypi.org/pypi/torch-geometric/json https://pypi.org/pypi/torch-geometric/json
  3. GitHub - pyg-team/pytorch_geometric: Graph Neural Network Library for PyTorch github.com https://github.com/pyg-team/pytorch_geometric
Qualcomm

Qualcomm AI Runtime (QAIRT) / GenieX

Owner
Qualcomm
Licence
not in the notes
Latest release
not in the notes
Backends
Snapdragon devices
Notes
Runtime listed on Qualcomm AI Hub; GenieX (QAIRT, llama.cpp)
Models
not in the notes
Sources
  1. Qualcomm AI Hub aihub.qualcomm.com https://aihub.qualcomm.com/models

SGLang

Owner
not in the notes
Licence
not in the notes
Latest release
not in the notes
Backends
Multi-GPU
Notes
Recommended multi-GPU (4 GPUs) serving for MiniMax H3
Models
6
Sources
  1. MiniMax Ships H3 Weights , With the US and EU Excluded rits.shanghai.nyu.edu https://rits.shanghai.nyu.edu/ai/minimax-ships-h3-weights-with-the-us-and-eu-excluded/
Google

TensorFlow Lite for Microcontrollers (TFLM)

Owner
Google
Licence
Apache License 2.0
Latest release
not in the notes
Backends
DSPs, MCUs: Cortex-M, RISC-V, Hexagon, Xtensa; ports for Arduino, Espressif, Renesas, Silicon Labs, TI, Coral Dev Board Micro
Notes
Rename to LiteRT for Microcontrollers not confirmed
Models
5
Sources
  1. GitHub - tensorflow/tflite-micro: Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (inclu github.com https://github.com/tensorflow/tflite-micro
NVIDIA

TensorRT

Owner
NVIDIA
Licence
Proprietary
Latest release
11.4.0.106 (8 Oct 2026)
Backends
not in the notes
Notes
Per-model support matrix (LLM, encoder NLP, vision, audio, diffusion, multimodal). Open-source components on GitHub are Apache 2.0; PyPI package declares Proprietary. Jetson not checked
Models
not in the notes
Sources
  1. GitHub - NVIDIA/TensorRT: NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains github.com https://github.com/NVIDIA/TensorRT
  2. Client Challenge pypi.org https://pypi.org/project/tensorrt/
NVIDIA

TensorRT-LLM

Owner
NVIDIA
Licence
Apache License 2.0
Latest release
1.2.1 (20 Apr 2026)
Backends
Blackwell data-centre GPUs; Jetson and Thor edge support unverified
Notes
GitHub README news to 17 Jul (PyPI may lag)
Models
not in the notes
Sources
  1. GitHub - NVIDIA/TensorRT-LLM: TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports github.com https://github.com/NVIDIA/TensorRT-LLM
  2. tensorrt-llm pypi.org https://pypi.org/project/tensorrt-llm/

TerraTorch

Owner
not in the notes
Licence
not in the notes
Latest release
not in the notes
Backends
not in the notes
Notes
Tooling for Prithvi-EO-2.0 geospatial models
Models
3
Sources
  1. ibm-nasa-geospatial/Prithvi-EO-2.0-600M , Hugging Face huggingface.co https://huggingface.co/ibm-nasa-geospatial/Prithvi-EO-2.0-600M
MIT Han Lab

TinyEngine (MCUNet)

Owner
MIT Han Lab
Licence
MIT License
Latest release
not in the notes
Backends
Microcontrollers (STM32F746 profiled)
Notes
1.5 to 3x faster and 2.7 to 4.8x lower peak memory than TFLM, CMSIS-NN, MicroTVM
Models
3
Sources
  1. GitHub - mit-han-lab/mcunet: [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based github.com https://github.com/mit-han-lab/mcunet

vLLM

Owner
not in the notes
Licence
not in the notes
Latest release
not in the notes
Backends
not in the notes
Models
11
Sources
  1. huggingface.co/tiiuae/Falcon-H1R-7B https://huggingface.co/tiiuae/Falcon-H1R-7B