Who is dgx-spark-cli for?

dgx-spark-cli is an open-source project built for AI/ML engineers and system administrators.

Is dgx-spark-cli free?

Yes — dgx-spark-cli is open source under the MIT license and free to use.

What platforms does dgx-spark-cli run on?

dgx-spark-cli runs on the command line.

Is dgx-spark-cli still maintained?

Unverified. dgx-spark-cli has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What are alternatives to dgx-spark-cli?

Similar projects tracked by PulseGate include sparkrun, dgxllm, and sparkfit.

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dgx-spark-cli

PyPIInfrastructure

dgx-spark-cli is an open-source command-line tool designed for operating NVIDIA DGX Spark (Grace-Blackwell) workstations. It provides device setup, health monitoring, and local AI/ML workload management capabilities for engineers and administrators managing high-performance AI hardware.

Open SourceMITCLI

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Overview

5 features

In the CLI tools & terminal space, dgx-spark-cli takes a focused approach. It focuses on operating and managing NVIDIA DGX Spark workstations for AI/ML workloads without manual configuration. It is built as an open-source project for AI/ML engineers and system administrators. dgx-spark-cli is open source under the MIT license. It ships for the command line.

dgx-spark-cli first shipped in 2026. Key capabilities include device setup, health monitoring, and workload management.

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

Device setup
Health monitoring
Workload management
Local AI tasks
CLI interface

Built with & integrations

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed30 Jun · 15:21 UTC
dgx-spark-cli verified via PyPI Fresh Feed
Source: PyPI Fresh Feed · Open

Frequently asked questions about dgx-spark-cli

What is dgx-spark-cli?: Dgx-spark-cli focuses on operating and managing NVIDIA DGX Spark workstations for AI/ML workloads without manual configuration. It is catalogued under CLI tools & terminal on PulseGate.
Who is dgx-spark-cli for?: dgx-spark-cli is an open-source project built for AI/ML engineers and system administrators.
Is dgx-spark-cli free?: Yes — dgx-spark-cli is open source under the MIT license and free to use.
What platforms does dgx-spark-cli run on?: dgx-spark-cli runs on the command line.
Is dgx-spark-cli still maintained?: Unverified. dgx-spark-cli has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to dgx-spark-cli?: Similar projects tracked by PulseGate include sparkrun, dgxllm, and sparkfit.sparkrun dgxllm sparkfit
When did dgx-spark-cli launch?: dgx-spark-cli first shipped in 2026.
Is dgx-spark-cli open source?: Yes — dgx-spark-cli is open source under the MIT license.

At a glance

Platforms: CLI
Languages: English
License: MIT
Built for: AI/ML engineers and system administrators
Model: Open source
Solves: Operating and managing NVIDIA DGX Spark workstations for AI/ML workloads without manual configuration.

Registered as

PyPI: dgx-spark-cli

Developer

Agentculture

Index record

Indexed: 30 Jun 2026
Lifecycle: Alive
Last seen: 30 Jun 2026

Identity audit (12)

Slug: dgx-spark-cli-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 30 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
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.
Canonical URL: https://pypi.org/project/dgx-spark-cli

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