GPU & VRAM Monitor (Local LLM / MCP / NVIDIA)
PulseGate's liveness check found it on 7 Oct 2026; it is registered on the VS Code Marketplace and has been in the index since 6 Sep 2026. How this is checked
A VS Code extension that displays real-time GPU load and VRAM usage in the status bar. It detects active local AI models and supports environments including Ollama, LM Studio, vLLM, MCP, and NVIDIA GPUs.
Inferred · not functionally tested
Overview
6 featuresPurpose: Helps developers monitor GPU utilization, VRAM consumption, and active local AI models without leaving VS Code.
Inferred · not functionally tested
Audience: developers running local LLMs in VS Code
Inferred · not functionally tested
Functions: monitoring
Inferred · not functionally tested
Interfaces: API: unknown · MCP: indicated (inferred, not tested) · CLI: unknown · Self-hosting: unknown
Recorded constraints: pricing: free · license: Proprietary · platforms: WEB · deployment: browser, windows, linux, macos
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: unknown.
In the Network & server monitoring space, GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) takes a focused approach. Inferred · not functionally tested: It helps developers monitor GPU utilization, VRAM consumption, and active local AI models without leaving VS Code. Inferred · not functionally tested: It is built as a consumer product for developers running local LLMs in VS Code. Basis unknown · not verified: GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) is free to use. Basis unknown · not verified: GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) is available on the web, Windows, Linux, and macOS.
Hector Horta builds and maintains GPU & VRAM Monitor (Local LLM / MCP / NVIDIA), and it first shipped in 2026. Inferred · not functionally tested: Among its 6 catalogued features are GPU monitoring, VRAM tracking, and status bar metrics. Basis unknown · not verified: Catalogued interfaces include an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- GPU monitoring
- VRAM tracking
- Status bar metrics
- AI model detection
- Ollama support
- LM Studio support
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed6 Sep · 05:54 UTCGPU & VRAM Monitor (Local LLM / MCP / NVIDIA) seen via VS Code MarketplaceSource: VS Code Marketplace · Open
Frequently asked questions about GPU & VRAM Monitor (Local LLM / MCP / NVIDIA)
- What does GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) do?
- Inferred · not functionally tested: GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) helps developers monitor GPU utilization, VRAM consumption, and active local AI models without leaving VS Code. It is catalogued under Network & server monitoring on PulseGate.
- Who should use GPU & VRAM Monitor (Local LLM / MCP / NVIDIA)?
- Inferred · not functionally tested: GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) is a consumer product built for developers running local LLMs in VS Code.
- Does GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) have a free plan?
- Basis unknown · not verified: Yes — GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) is free to use.
- What platforms does GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) run on?
- Basis unknown · not verified: GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) runs on the web, Windows, Linux, and macOS.
- Is GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) still active?
- PulseGate's liveness check found it on 7 Oct 2026.
- Who makes GPU & VRAM Monitor (Local LLM / MCP / NVIDIA)?
- GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) is developed by Hector Horta.
- How long has GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) been around?
- GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) first shipped in 2026.
- Does GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) have an API or integrations?
- Basis unknown · not verified: Yes — GPU & VRAM Monitor (Local LLM / MCP / NVIDIA) exposes an MCP server.
Similar projects
Closest matches by what these projects do