AI Agent Hub
Back to plugins
🤖

dsh-gpu

Model Inference Updated 2026.08.17

Run the following command in DeepSeek Harness:

dsh plugin install zytsyj/dsh-gpu

Paste the following prompt into your AI chat to install this plugin:

To install the dsh-gpu plugin in DeepSeek Harness, run the command dsh plugin install zytsyj/dsh-gpu, with the source code available at https://github.com/zytsyj/dsh-gpu.

About this plugin

In AI development and inference, managing GPU resources can be a bottleneck, especially in multi-task or distributed setups. dsh-gpu, as a GPU-aware execution layer plugin for DeepSeek Harness, addresses this by seamlessly integrating with Harness's shell executor, allowing agents to automatically select idle GPUs, execute commands, and manage background tasks, thereby simplifying GPU allocation and monitoring. Its core capabilities include real-time querying of GPU status (e.g., memory usage, temperature), one-shot command execution, and long-running background job management, all supporting both local and remote execution environments without extra configuration. This plugin is ideal for developers and teams using DeepSeek Harness for model inference, training, or benchmarking, particularly those seeking to efficiently utilize multi-GPU resources to optimize their workflows.

Use Cases

  • Monitor GPU status in real time to optimize resource allocation.
  • Execute GPU-accelerated commands for model training or inference.
  • Manage long-running background GPU tasks such as benchmarks.

Best For

  • AI model developers needing efficient GPU resource utilization.
  • System administrators managing multi-GPU servers.
  • Researchers conducting experiments and performance tests.