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sparkfit

PyPI·Infrastructure

sparkfit is an open-source CLI tool that assists ML infrastructure engineers in planning memory and bandwidth requirements for deploying large language models on NVIDIA DGX Spark systems. It provides unified-memory and quantization-aware analysis for efficient resource allocation.

Open SourceMITCLI
Visit PyPI↗
4stars
2forks
5features
2026since

Overview

5 features

sparkfit sits in PulseGate's Other AI category. It helps users estimate and plan memory requirements for running large language models on NVIDIA DGX Spark hardware. It is built as an open-source project for ml infrastructure engineers. sparkfit is open source under the MIT license. It runs on the command line.

It is developed by engineering87, and it first shipped in 2026. The project is developed in the open on GitHub with 14 commits in the last 90 days. Key capabilities include memory capacity planning, LLM inference analysis, and unified memory awareness.

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

  • ✓Memory capacity planning
  • ✓LLM inference analysis
  • ✓Unified memory awareness
  • ✓Bandwidth estimation
  • ✓CLI interface
Tags
llm-infrastructurecapacity-planningdgx-sparkvram-estimation
AI capabilities
Structured

Built with & integrations

Runs on
CLI

Trust & compliance

License
MIT
Verified signals
✓HTTPS✓Open Source✓Free tier✓GitHub · ★ 4✓Active maintenance

Indexing history

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Frequently asked questions about sparkfit

What is sparkfit?
Sparkfit helps users estimate and plan memory requirements for running large language models on NVIDIA DGX Spark hardware. It is catalogued under Other AI on PulseGate.
Who should use sparkfit?
sparkfit is an open-source project built for ml infrastructure engineers.
Does sparkfit have a free plan?
Yes — sparkfit is open source under the MIT license and free to use.
What platforms does sparkfit run on?
sparkfit runs on the command line.
Is sparkfit still maintained?
The GitHub repository shows 14 commits in the last 90 days.
Who develops sparkfit?
sparkfit is developed by engineering87.
How long has sparkfit been around?
sparkfit first shipped in 2026.
Is sparkfit open source?
Yes — sparkfit is open source under the MIT license, developed on GitHub.

At a glance

Platforms
Cli
Languages
English
Open source
Yes · ★ 4
License
MIT
First seen
15 Jul 2026
Built for
ml infrastructure engineers
Model
Open source
Solves
Helps users estimate and plan memory requirements for running large language models on NVIDIA DGX Spark hardware.

Registered as

GitHub
engineering87/sparkfit
PyPI
sparkfit

Developer

engineering87
Solo developer
↗ GitHub

Open source

View on GitHub →
Stars
4
Forks
2
Open issues
0
Last commit
15 Jul 2026
Commits 90d
14
Contributors
1
Authorship
Solo
Default branch
main
Latest release
v0.4.0 · 15 Jul 2026

Live coverage

Identity confidence
Low · 64
Indexed
15 Jul 2026
Lifecycle
Unverified
First seen
Jul 2026
Last seen
15 Jul 2026
Identity audit (12)
Slug
sparkfit-pypi-org
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
15 Jul 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Name from
Written by a language model from the project's public pages.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
15 Jul 2026
Canonical URL
https://pypi.org/project/sparkfit

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