Added note on parallelization

nbs/docs/how-to-guides/0_computing_at_scale.ipynb

@@ -59,6 +59,15 @@
     "These are the general steps that you will need to follow to use `TimeGPT` with any of the supported distributed computing frameworks. For a detailed explanation and a complete example, please refer to the guide for the specific framework linked above."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "::: {.callout-important}\n",
+    "Parallelization in these frameworks is done along the various time series within your dataset. Therefore, it is essential that your dataset includes multiple time series, each with a unique id. \n",
+    ":::"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -74,7 +83,7 @@
     "\n",
     "Consider using a distributed computing framework if your dataset:\n",
     "\n",
-    "- Consists of millions of observations.\n",
+    "- Consists of millions of observations over multiple time series.\n",
     "- Is too large to fit into the memory of a single machine.\n",
     "- Would be too slow to process on a single machine.\n",
     "\n",