diff --git a/ax/adapter/tests/test_torch_adapter.py b/ax/adapter/tests/test_torch_adapter.py
index 50e7b2a1dd2..12a3095c1a1 100644
--- a/ax/adapter/tests/test_torch_adapter.py
+++ b/ax/adapter/tests/test_torch_adapter.py
@@ -483,8 +483,7 @@ def test_candidate_metadata_propagation(self) -> None:
         exp = get_branin_experiment(with_status_quo=True, with_completed_batch=True)
         # Check that the metadata is correctly re-added to observation
         # features during `fit`.
-        # pyre-fixme[16]: `BaseTrial` has no attribute `_generator_run_structs`.
-        preexisting_batch_gr = exp.trials[0]._generator_runs[0]
+        preexisting_batch_gr = exp.trials[0].generator_runs[0]
         preexisting_batch_gr._candidate_metadata_by_arm_signature = {
             preexisting_batch_gr.arms[0].signature: {
                 "preexisting_batch_cand_metadata": "some_value"
diff --git a/ax/storage/sqa_store/encoder.py b/ax/storage/sqa_store/encoder.py
index 5d50c9a895b..ae1d529cc2f 100644
--- a/ax/storage/sqa_store/encoder.py
+++ b/ax/storage/sqa_store/encoder.py
@@ -1043,8 +1043,16 @@ def trial_to_sqa(
         )
         return trial_sqa
 
-    def experiment_data_to_sqa(self, experiment: Experiment) -> list[SQAData]:
-        """Convert Ax experiment data to SQLAlchemy."""
+    def experiment_data_to_sqa(
+        self,
+        experiment: Experiment,
+    ) -> list[SQAData]:
+        if (
+            experiment.experiment_type
+            in self.config.EXPERIMENT_TYPES_WITH_NO_DATA_STORAGE
+        ):
+            return []
+
         return [
             self.data_to_sqa(data=data, trial_index=trial_index, timestamp=timestamp)
             for trial_index, data_by_timestamp in experiment.data_by_trial.items()
diff --git a/ax/storage/sqa_store/sqa_config.py b/ax/storage/sqa_store/sqa_config.py
index 1102a6f14a7..07fb03cf321 100644
--- a/ax/storage/sqa_store/sqa_config.py
+++ b/ax/storage/sqa_store/sqa_config.py
@@ -9,7 +9,7 @@
 from collections.abc import Callable
 from dataclasses import dataclass, field
 from enum import Enum
-from typing import Any
+from typing import Any, cast
 
 from ax.analysis.analysis import AnalysisCard
 
@@ -67,9 +67,10 @@ class SQAConfig:
             serialization function.
     """
 
+    EXPERIMENT_TYPES_WITH_NO_DATA_STORAGE: set[str] = field(default_factory=set)
+
     def _default_class_to_sqa_class(self=None) -> dict[type[Base], type[SQABase]]:
-        # pyre-fixme[7]
-        return {
+        ax_cls_to_sqa_cls = {
             AbandonedArm: SQAAbandonedArm,
             AnalysisCard: SQAAnalysisCard,
             Arm: SQAArm,
@@ -84,6 +85,10 @@ def _default_class_to_sqa_class(self=None) -> dict[type[Base], type[SQABase]]:
             Trial: SQATrial,
             AuxiliaryExperiment: SQAAuxiliaryExperiment,
         }
+        return {
+            cast(type[Base], k): cast(type[SQABase], v)
+            for k, v in ax_cls_to_sqa_cls.items()
+        }
 
     class_to_sqa_class: dict[type[Base], type[SQABase]] = field(
         default_factory=_default_class_to_sqa_class
@@ -92,27 +97,21 @@ def _default_class_to_sqa_class(self=None) -> dict[type[Base], type[SQABase]]:
     generator_run_type_enum: Enum | type[Enum] | None = GeneratorRunType
     auxiliary_experiment_purpose_enum: type[Enum] = AuxiliaryExperimentPurpose
 
-    # pyre-fixme[4]: Attribute annotation cannot contain `Any`.
-    # pyre-fixme[24]: Generic type `type` expects 1 type parameter, use
-    #  `typing.Type` to avoid runtime subscripting errors.
-    json_encoder_registry: dict[type, Callable[[Any], dict[str, Any]]] = field(
+    # Encoding and decoding registries:
+    json_encoder_registry: dict[type[Any], Callable[[Any], dict[str, Any]]] = field(
         default_factory=lambda: CORE_ENCODER_REGISTRY
     )
-    # pyre-fixme[4]: Attribute annotation cannot contain `Any`.
-    # pyre-fixme[24]: Generic type `type` expects 1 type parameter, use
-    #  `typing.Type` to avoid runtime subscripting errors.
-    json_class_encoder_registry: dict[type, Callable[[Any], dict[str, Any]]] = field(
-        default_factory=lambda: CORE_CLASS_ENCODER_REGISTRY
+    json_class_encoder_registry: dict[type[Any], Callable[[Any], dict[str, Any]]] = (
+        field(default_factory=lambda: CORE_CLASS_ENCODER_REGISTRY)
     )
-
     json_decoder_registry: TDecoderRegistry = field(
         default_factory=lambda: CORE_DECODER_REGISTRY
     )
-    # pyre-fixme[4]: Attribute annotation cannot contain `Any`.
     json_class_decoder_registry: dict[str, Callable[[dict[str, Any]], Any]] = field(
         default_factory=lambda: CORE_CLASS_DECODER_REGISTRY
     )
 
+    # Metric and runner class registries:
     metric_registry: dict[type[Metric], int] = field(
         default_factory=lambda: CORE_METRIC_REGISTRY
     )
diff --git a/ax/storage/sqa_store/tests/test_sqa_store.py b/ax/storage/sqa_store/tests/test_sqa_store.py
index 3c1baa72fd1..f97ea8ca502 100644
--- a/ax/storage/sqa_store/tests/test_sqa_store.py
+++ b/ax/storage/sqa_store/tests/test_sqa_store.py
@@ -218,7 +218,6 @@ def creator() -> Mock:
 
     def test_GeneratorRunTypeValidation(self) -> None:
         experiment = get_experiment_with_batch_trial()
-        # pyre-fixme[16]: `BaseTrial` has no attribute `generator_run_structs`.
         generator_run = experiment.trials[0].generator_runs[0]
         generator_run._generator_run_type = "foobar"
         with self.assertRaises(SQAEncodeError):