title: AWS BATCH - how to run more concurrent jobs
body: <p>I have just started working with AWS BATCH for my deep learning workload. I have created a compute environment with the following config:</p>
  <ul>
  <li>min vCPUs: 0</li>
  <li>max vCPUs: 16</li>
  <li>Instance type: g4dn family, g3s family, g3 family, p3 family</li>
  <li>allocation strategy: BEST_FIT_PROGRESSIVE</li>
  </ul>
  <p>The maximum number of vCPU limits for my account is 16 and each of my jobs requires 16GB of memory. I observe that a maximum of 2 jobs can run concurrently at any point in time. I was using <code>allocation strategy: BEST_FIT</code> before and changed it to <code>allocation strategy: BEST_FIT_PROGRESSIVE</code> but I still see that only 2 jobs can run concurrently. This limits the amount of experimentation I can do in a given time. What can I do to increase number of jobs that can run concurrently?</p>