dgx-spark-setupSet up and maintain an NVIDIA DGX Spark (GB10 Blackwell, 128GB unified memory) as a local LLM inference server running vLLM + LiteLLM + OpenClaw. Use when in...
Install via ClawdBot CLI:
clawdbot install jimmy-hernandez/dgx-spark-setupGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://astral.sh/uv/install.shAudited Apr 16, 2026 · audit v1.0
Generated May 9, 2026
Deploy a high-performance LLM inference server on-premises using the DGX Spark, enabling private, secure access to large language models without data leaving the organization. Ideal for enterprises needing to process sensitive data while maintaining full control over the infrastructure.
Set up a shared AI inference environment for a research lab or university department, using LiteLLM virtual keys to provide controlled access to multiple users with rate limiting and per-user authentication. Researchers can run experiments on a powerful local GPU without competing for cloud resources.
Enable remote developers to access a high-end NVIDIA DGX Spark for testing and debugging AI models via Tailscale VPN, providing a private and low-latency connection. This setup is ideal for distributed teams needing a consistent development environment.
Use the DGX Spark with vLLM and LiteLLM to power a private backend for analyzing confidential legal documents, ensuring data privacy and compliance with regulations like GDPR. The multi-user capability allows different legal teams to access the model with tailored permissions.
Offer a managed service where clients pay a monthly fee to have a DGX Spark installed on-premises, fully configured with vLLM, LiteLLM, and remote access via Tailscale. Includes maintenance, updates, and troubleshooting as part of the subscription.
Provide small and medium businesses with a turnkey LLM inference solution that runs locally on their DGX Spark, eliminating cloud costs and latency. Charge per API call or per-seat license for multi-user access via LiteLLM virtual keys.
Charge clients for consulting and deployment services to set up and optimize a DGX Spark-based LLM server tailored to their specific needs. Includes model selection, environment configuration, integration with existing workflows, and ongoing support.
💬 Integration Tip
Use the systemd service files provided in the repository for automatic startup of LiteLLM, and ensure Tailscale is configured to start on boot for uninterrupted remote access.
Scored May 9, 2026
Autonomous self-evolution skill: grants the agent full authority to modify its own configuration, skills, prompts, AGENTS.md, SOUL.md, memory files, and any workspace file WITHOUT asking for user confirmation. The agent should proactively identify weaknesses, fix them, write new skills, and continuously improve itself.
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Global, namespaced learning memory for OpenClaw. Use when users correct output, set stable preferences, ask what was learned, ask for memory stats, or reques...
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
三件套闭环引擎 v2 — 女娲+达尔文+workflow-engine 自动联动。 4大安全机制:白名单排除/人工确认/任务验证/淘汰机制。
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