Boost Developer Productivity with NBD VRAM, Reg Factory, and vLLM Studio
This article introduces three open‑source tools that improve GPU‑centric development: NBD VRAM, which turns GPU memory into Linux swap space; Reg Factory, a scheduler and monitor for multi‑GPU clusters; and vLLM Studio, a web UI for deploying and managing large‑model inference.
Today we share three open‑source projects that aim to increase developer efficiency when working with GPUs.
NBD VRAM – Using GPU Memory as System Swap
NBD VRAM is an inventive project that converts your GPU's video memory into Linux swap space. It leverages the Network Block Device (NBD) mechanism to expose VRAM as block devices, which can then be mounted as a swap partition.
# Install
pip install nbd-vram
# Start
nbd-vram --size 4G --device /dev/nbd0
# Enable swap
sudo swapon /dev/nbd0The tool is suitable for scenarios where VRAM is abundant but system RAM is limited, such as running large models on a Mac with 64 GB VRAM and only 16 GB RAM, or on GPU servers that have idle video memory.
GitHub: https://github.com/c0deJedi/nbd-vram<br/>Stars: 300+ | Language: Python | License: MIT
Reg Factory – GPU Resource Scheduling and Management
Reg Factory is a GPU resource scheduling and management tool designed for teams that operate multi‑GPU servers. It supports job queuing, resource allocation, monitoring, and alerting.
Queueing and scheduling of multi‑GPU tasks
Resource usage monitoring
Timeout and exception alerts
Web management panel
The solution fits teams that need to manage a GPU cluster.
GitHub: https://github.com/tiantianGPU/reg-factory<br/>Stars: 300+ | Language: Python | License: MIT
vLLM Studio – Visual Panel for Large‑Model Deployment
vLLM is one of the most popular inference engines for large models, but its native management UI is minimal. vLLM Studio adds a full‑featured web UI that streamlines deployment, monitoring, and management.
Visual model deployment with point‑and‑click parameter configuration
Real‑time inference performance and GPU usage monitoring
Multi‑model management with one‑click switching
Log viewing and error troubleshooting
pip install vllm-studio vllm-studio serveGitHub: https://github.com/sybil-solutions/vllm-studio<br/>Stars: 1k+ | Language: Python | License: MIT
All three projects target developer tools: NBD VRAM provides a hardware hack, Reg Factory offers GPU management, and vLLM Studio delivers a deployment panel for large models. Their common goal is to help developers use GPUs more efficiently.
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