Description

When creating a LocalCluster with n_workers > 5, the cluster consistently only spawns exactly 5 workers, regardless of the requested number. This appears to be a hard limit on Windows systems.

Environment

• OS: Windows
• Python version: (output from python --version)
• Dask version: 2025.10.0
• Distributed version: 2025.10.0
• Installation method: conda/miniforge

Minimal Reproducible Example

from dask.distributed import LocalCluster, Client
import time

if __name__ == '__main__':
    print('=== TESTING DASK LOCAL CLUSTER WITHOUT PLUGINS ===')
    
    for n_workers in [5, 7, 10, 20, 50]:
        print(f'\n--- Testing {n_workers} workers ---')
        
        cluster = LocalCluster(
            n_workers=n_workers,
            threads_per_worker=1,
            processes=True,
            memory_limit='500MB',
            silence_logs=True
        )
        client = Client(cluster)
        
        # Wait for workers to connect
        time.sleep(5)
        
        # Check how many workers registered
        info = client.scheduler_info()
        num_connected = len(info['workers'])
        print(f'Requested: {n_workers}, Connected: {num_connected}')
        
        client.close()
        cluster.close()
        time.sleep(2)
    
    print('\n=== TEST COMPLETE ===')

Expected Behavior

The LocalCluster should spawn the number of workers specified by the n_workers parameter. For example:

n_workers=7 should create 7 workers
n_workers=10 should create 10 workers
n_workers=50 should create 50 workers

Actual Behavior

Regardless of the n_workers parameter, exactly 5 workers are created and connected:
=== TESTING DASK LOCAL CLUSTER WITHOUT PLUGINS ===

--- Testing 5 workers ---
Requested: 5, Connected: 5

--- Testing 7 workers ---
Requested: 7, Connected: 5

--- Testing 10 workers ---
Requested: 10, Connected: 5

--- Testing 20 workers ---
Requested: 20, Connected: 5

--- Testing 50 workers ---
Requested: 50, Connected: 5

=== TEST COMPLETE ===