A local code-interpreter-style AI on the RTX 5060 Ti 16GB at our hosting handles analyst workloads – SQL generation, exploratory charts, narrative summaries – without exposing data to any third-party LLM API.
Contents
Best Models for Data Analysis
| Model | Strength |
|---|---|
| Qwen 2.5 Coder 14B AWQ | Best at writing and fixing code |
| DeepSeek-Coder-V2 Lite 16B AWQ | Strong at SQL and data wrangling |
| Llama 3 8B FP8 | General analyst – narrative summaries |
| Qwen 2.5 Math 7B | Numerical reasoning assistance |
Workflow
- User: “Show me weekly revenue trend by region, call out anomalies”
- LLM writes SQL to pull the data
- Python sandbox executes SQL and returns sample
- LLM writes pandas + matplotlib chart code
- Sandbox renders the plot, returns PNG
- LLM writes narrative summary of findings
- User reviews and iterates
Code Sandboxing
- Run the analyst’s code in a Docker container with network disabled
- Mount data read-only; write outputs to a scratch volume
- Timeouts per cell (30-60 s) to catch infinite loops
- Resource limits (CPU / RAM) prevent accidental runaway scripts
Integration
- Jupyter: LLM plugs in as a magic or extension – see Jupyter setup
- BI tools: natural-language-to-SQL endpoint that populates dashboards
- CLI:
analystcommand that takes a question and returns charts + text
For data teams handling sensitive data (finance, healthcare, HR), keeping everything on-prem or in your own UK-hosted GPU box sidesteps a raft of compliance headaches.
Analyst AI on Blackwell 16GB
Code, SQL, charts, narrative – all private. UK dedicated hosting.
Order the RTX 5060 Ti 16GBSee also: coding assistant, Qwen Coder 14B, Jupyter setup, internal tooling.
