[Core] Accelerator type API (#10561)

doc/source/advanced.rst

@@ -220,6 +220,21 @@ load balancing, gang scheduling, and priority-based scheduling.
     :noindex:
 
 
+Accelerator Types
+------------------
+
+Ray supports resource specific accelerator types. The `accelerator_type` field can be used to force to a task to run on a node with a specific type of accelerator. Under the hood, the accelerator type option is implemented as a custom resource demand of ``"accelerator_type:<type>": 0.001``. This forces the task to be placed on a node with that particular accelerator type available. This also lets the multi-node-type autoscaler know that there is demand for that type of resource, potentially triggering the launch of new nodes providing that accelerator.
+
+.. code-block:: python
+
+    from ray.accelerators import NVIDIA_TESLA_V100
+    
+    @ray.remote(num_gpus=1, accelerator_type=NVIDIA_TESLA_V100)
+    def train(data):
+        return "This function was run on a node with a Tesla V100 GPU"
+
+See `ray.util.accelerators` to see available accelerator types. Current automatically detected accelerator types include Nvidia GPUs.
+
 
 Nested Remote Functions
 -----------------------