diff --git a/daft/context.py b/daft/context.py
index 8d53a8e4a11..e7e88c5e6f2 100644
--- a/daft/context.py
+++ b/daft/context.py
@@ -3,6 +3,7 @@
 import contextlib
 import logging
 import threading
+import warnings
 from dataclasses import dataclass
 from typing import TYPE_CHECKING, Any, ClassVar
 
@@ -285,7 +286,8 @@ def set_execution_config(
         pre_shuffle_merge_partition_threshold: Number of partitions threshold to enable pre-shuffle merge when shuffle_algorithm is "auto". Defaults to 200.
         scantask_max_parallel: Set the max parallelism for running scan tasks simultaneously. Currently, this only works for Native Runner. If set to 0, all available CPUs will be used. Defaults to 8.
         native_parquet_writer: Whether to use the native parquet writer vs the pyarrow parquet writer. Defaults to `True`.
-        min_cpu_per_task: Minimum CPU per task in the Ray runner. Defaults to 0.5.
+        min_cpu_per_task: Deprecated. This was used by the old Ray runner and has no effect on
+            Flotilla scheduling. It will be removed in the next minor version.
         actor_udf_ready_timeout: Timeout for UDF actors to be ready. Defaults to 120 seconds.
         maintain_order: Whether to maintain order during execution. Defaults to True. Some blocking sink operators (e.g. write_parquet) won't respect this flag and will always keep maintain_order as false, and propagate to child operators. It's useful to set this to False for running df.collect() when no ordering is required.
         enable_dynamic_batching: Whether to enable dynamic batching. Defaults to False.
@@ -295,6 +297,14 @@ def set_execution_config(
         enable_multi_glob_path_tasks: Whether to create multiple glob path tasks in Ray Runner to achieve parallel glob. Defaults to False.
     """
     # Replace values in the DaftExecutionConfig with user-specified overrides
+    if min_cpu_per_task is not None:
+        warnings.warn(
+            "`min_cpu_per_task` is deprecated and has no effect on Flotilla scheduling. "
+            "It will be removed in the next minor version.",
+            DeprecationWarning,
+            stacklevel=2,
+        )
+
     ctx = get_context()
     with ctx._lock:
         old_daft_execution_config = ctx._ctx._daft_execution_config if config is None else config
diff --git a/src/common/daft-config/src/lib.rs b/src/common/daft-config/src/lib.rs
index 53c61bf79b5..93563f8a0f6 100644
--- a/src/common/daft-config/src/lib.rs
+++ b/src/common/daft-config/src/lib.rs
@@ -241,6 +241,10 @@ impl DaftExecutionConfig {
         if let Some(val) =
             parse_number_from_env(Self::ENV_DAFT_MIN_CPU_PER_TASK, cfg.min_cpu_per_task)
         {
+            eprintln!(
+                "{} is deprecated and has no effect on Flotilla scheduling. It will be removed in the next minor version.",
+                Self::ENV_DAFT_MIN_CPU_PER_TASK
+            );
             cfg.min_cpu_per_task = val;
         }
 
diff --git a/tests/test_context.py b/tests/test_context.py
index 971f017e6dd..72621137fe2 100644
--- a/tests/test_context.py
+++ b/tests/test_context.py
@@ -375,3 +375,9 @@ def test_set_scantask_max_parallelism_greater_than_partition_num():
         df = daft.range(start=0, end=1024, partitions=10)
         df.explain(show_all=True, file=str_io)
         assert "Num Parallel Scan Tasks = 17" in str_io.getvalue().strip()
+
+
+def test_min_cpu_per_task_is_deprecated():
+    with pytest.warns(DeprecationWarning, match="min_cpu_per_task"):
+        with daft.execution_config_ctx(min_cpu_per_task=0.1):
+            assert daft.context.get_context().daft_execution_config.min_cpu_per_task == 0.1