Overview
8 featuresIn the Inference & model serving space, localfit takes a focused approach. It focuses on determining if AI models will fit and run efficiently on available GPU hardware. localfit is an open-source project aimed at AI developers and ML engineers. localfit is open source under the Apache-2.0 license. It runs on the web and the command line.
It is developed by AnassKartit, and it first shipped in 2026. The project is developed in the open on GitHub with 59 commits in the last 90 days. Key capabilities include GPU benchmarking, VRAM usage analysis, and model compatibility check.
- ✓GPU benchmarking
- ✓VRAM usage analysis
- ✓Model compatibility check
- ✓MLX support
- ✓GGUF support
- ✓Cloud integration
- ✓CLI interface
- ✓HuggingFace integration
Tagsgpu-benchmarkingllm-compatibilitymlx-supportgguf-toolingvram-analysis
AI capabilitiesStructured
Weights: Open
Built with & integrations
Indexing history
1What PulseGate has recorded for this listing
Indexed16 Jun · 06:29 UTC
Listing verified against its public source
Frequently asked questions about localfit
- What does localfit do?
- Localfit focuses on determining if AI models will fit and run efficiently on available GPU hardware. It is catalogued under Inference & model serving on PulseGate.
- Who is localfit for?
- localfit is an open-source project built for AI developers and ML engineers.
- Is localfit free?
- Yes — localfit is open source under the Apache-2.0 license and free to use.
- What platforms does localfit run on?
- localfit runs on the web and the command line.
- Is localfit still active?
- The GitHub repository shows 59 commits in the last 90 days.
- Who develops localfit?
- localfit is developed by AnassKartit.
- When did localfit launch?
- localfit first shipped in 2026.
- Is localfit open source?
- Yes — localfit is open source under the Apache-2.0 license, developed on GitHub.