Deployment
Research papers, repositories, and articles about deployment
Showing 7 of 7 items
stable-diffusion-webui
stable-diffusion-webui by AUTOMATIC1111 is the de facto standard local web interface for Stable Diffusion, providing a massive feature set—txt2img, img2img, inpainting/outpainting, upscaling, LoRA/embeddings support, training utilities, and a huge extension ecosystem—on top of consumer GPUs. If you’re doing any kind of image generation or fine-tuning with Stable Diffusion in a local or lab environment, this is usually the first tool people reach for and the one most community workflows target. ([github.com](https://github.com/AUTOMATIC1111/stable-diffusion-webui?utm_source=openai))
GTC 2026 Insights: Through the Dell Enterprise Hub Lens
Explains how Dell’s Enterprise Hub plus Hugging Face models turn “deploy a model” into a one-command task. Highlights container versioning, multi-vendor GPUs, and a Python SDK that hides infra pain.
Gemma 4 on Edge: Running Multimodal AI on Mobile, Raspberry Pi & IoT Devices
Walks through running Gemma 4’s edge models on phones, Pis, and Jetson boards. Covers quantization, latency numbers, and when to stay off the cloud.
roboflow/supervision
Utility library that standardizes computer-vision pre- and post-processing. Saves you from rewriting glue code around detection and segmentation models.
dinoki-ai/osaurus
Osaurus is a native macOS server for local and cloud LLMs with OpenAI- and Anthropic-style APIs. Mac developers can swap providers without rewriting code.
TensorStore for High-Performance, Scalable Array Storage
TensorStore is an open-source C++ and Python library for working with massive n‑dimensional arrays, providing a uniform API over formats like Zarr and N5 and backends like GCS, local filesystems, HTTP, and in‑memory storage, with ACID transactions and async I/O. For ML and scientific developers, it’s a practical way to manage petascale datasets and large model checkpoints (e.g., PaLM) without custom sharding logic, while keeping read/write concurrency and performance under control. ([ai.googleblog.com](https://ai.googleblog.com/2022/09/tensorstore-for-high-performance.html))
PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction
Builds a plug-and-play framework for 3D medical imaging that unifies detection and risk prediction. Targets hospital workflows, not just leaderboard benchmarks.