Aible on NVIDIA DGX^TM Spark

My Personal AI on my Personal Supercomputer

Aible now delivers all its AI agent capabilities on the world’s smallest AI supercomputer — the NVIDIA DGX Spark. By running the entire AI stack including the user experience, agent coordination, tools, vector databases, and language models, on the same silicon with shared memory, Aible achieves lightning-fast, fully synchronous performance that outpaces cloud-based alternatives. It operates completely air-gapped for total privacy and comes at a fixed annual cost per user, with both hardware and software included.

Your Gateway to Enterprise Agentic AI Scale

Key Strengths of Aible on the NVIDIA DGX Spark

• Air-Gapped Security: All AI models run locally, eliminating cloud-based variable costs. Enterprises can manage budgets confidently with a fixed annual cost per user, covering both hardware and software.
  
  
• On-Premises Model Execution & Cost Predictability: All AI models run locally, eliminating cloud-based variable costs. Enterprises can manage budgets confidently with a fixed annual cost per user, covering both hardware and software.
  
  
• High-Performance, Synchronous Architecture: Running the full AI stack, from the user interface to agent coordination, vector databases, tools, and language models on the same silicon with shared memory, Aible achieves fully synchronous execution. This outperforms traditional cloud agents, which rely on asynchronous communication and disk I/O.
  
  
• Specialized, Post-Trained Models: Agents are customized to enterprise data, terminologies, and processes. Post-training allows smaller models (e.g., 8B–120B parameter LLaMA variants) to outperform much larger proprietary models with rapid training cycles and highly efficient memory utilization.
  
  
• Cross-Platform Deployment Flexibility: Build locally and deploy anywhere — cloud, on-prem, or edge. Aible agents communicate seamlessly across systems like Snowflake, BigQuery, Redshift, and Databricks using open standards such as Model Context Protocol (MCP) and NVIDIA Agent Toolkit.
  
  
• Rapid Prototyping & Scale: Users with no AI expertise can create fully functional agents in minutes. Proven at Fortune 500 organizations and events like the State of Nebraska hackathon where 36 non-technical users built 222 agents in only 90 minutes.
  
  
• Open-Source & Transparency: Utilizes only open-source models, ensuring no proprietary data exposure. Users retain control of their models, data, and intellectual property while achieving enterprise-grade accuracy.