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Model Memory Utility

huggingface.coOther data science & ML

PulseGate's liveness check found it on 11 Sep 2026; it is registered on Hugging Face Spaces and has been in the index since 10 Jul 2026. How this is checked

Model Memory Utility is a web application that helps users estimate the GPU VRAM needed to run models from the Hugging Face Hub. Users input a model name or URL, select library and precision, and receive memory usage estimates, aiding ML engineers and researchers in resource planning.

Inferred · not functionally tested

FreeWebSelf-hostedCloud-managed
Model Memory Utility preview
Visit huggingface.co

Overview

5 features

Purpose: Estimating GPU memory requirements for running machine learning models efficiently.

Inferred · not functionally tested

Audience: Machine learning engineers and researchers

Inferred · not functionally tested

Functions: Unknown

Interfaces: API: unknown · MCP: unknown · CLI: unknown · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: free · license: Proprietary · platforms: WEB · deployment: browser, self_hosted, cloud_managed

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: huggingface.co. These links do not verify the individual claims.

In the Other data science & ML space, Model Memory Utility takes a focused approach. Inferred · not functionally tested: It focuses on estimating GPU memory requirements for running machine learning models efficiently. Inferred · not functionally tested: Model Memory Utility is a B2B product aimed at machine learning engineers and researchers. Basis unknown · not verified: Model Memory Utility is free to use. Basis unknown · not verified: Model Memory Utility is available on the web, and it can be self-hosted.

It is developed by hf-accelerate, and it first shipped in 2023. Inferred · not functionally tested: Among its 5 catalogued features are VRAM estimation, model selection, and precision options.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • VRAM estimation
  • Model selection
  • Precision options
  • API token support
  • Library selection

Topics: Inferred · not functionally tested

Tags
vram-estimationmodel-inferencegpu-requirements
AI capabilities
Structured
Inference: Cloud API

JSON profile · Text profile · Access guide

Built with & integrations

Hosting
AWS
AI providers
local_oss
Runs on
BrowserSelf-hostedCloud-managed
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss
huggingface in the HTML

Trust & compliance

Public signals
HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Nothing recorded for this listing in this window.

Frequently asked questions about Model Memory Utility

What is Model Memory Utility?
Inferred · not functionally tested: Model Memory Utility focuses on estimating GPU memory requirements for running machine learning models efficiently. It is catalogued under Other data science & ML on PulseGate.
Who is Model Memory Utility for?
Inferred · not functionally tested: Model Memory Utility is a B2B product built for machine learning engineers and researchers.
Does Model Memory Utility have a free plan?
Basis unknown · not verified: Yes — Model Memory Utility is free to use.
What platforms does Model Memory Utility run on?
Basis unknown · not verified: Model Memory Utility runs on the web. It can also be self-hosted.
Is Model Memory Utility still active?
PulseGate's liveness check found it on 11 Sep 2026.
What projects are similar to Model Memory Utility?
Similar projects tracked by PulseGate include LLM Model VRAM Calculator, hf-mem, and GGUF Model VRAM Calculator.LLM Model VRAM Calculatorhf-memGGUF Model VRAM Calculator
Who makes Model Memory Utility?
Model Memory Utility is developed by hf-accelerate.
How long has Model Memory Utility been around?
Model Memory Utility first shipped in 2023.

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