Add real-time GPU usage monitoring to cluster nodes - clients send GPU stats every 5 seconds, master stores and serves via API, web UI shows usage bars and utilization

Fix GPU memory and utilization stats to show actual values using pynvml instead of PyTorch-only stats

Fix backend to always return response for job forwarding - success/error messages ensure proper job assignment feedback

Fix progress message job_id to use integer ID instead of message ID for proper backend storage and web polling

Add progress-based timeout extension to prevent premature job timeouts during long-running operations

- Show actual worker name when available in job.result.worker
- Display 'Assigned to cluster' for distributed jobs
- Keep 'Local processing' for local jobs
- Better distinction between local and cluster processing

- Increase Job ID column width to 1.6fr for better readability
- Remove max-width restriction from job_id to allow full display
- Job IDs can now expand naturally within their allocated space