diff --git a/integration_tests/src/main/python/orc_write_test.py b/integration_tests/src/main/python/orc_write_test.py
index 103cae474a3..b3c82675869 100644
--- a/integration_tests/src/main/python/orc_write_test.py
+++ b/integration_tests/src/main/python/orc_write_test.py
@@ -360,6 +360,23 @@ def create_empty_df(spark, path):
         conf={'spark.rapids.sql.format.orc.write.enabled': True})
 
 
+hold_gpu_configs = [True, False]
+@pytest.mark.parametrize('hold_gpu', hold_gpu_configs, ids=idfn)
+def test_async_writer(spark_tmp_path, hold_gpu):
+    data_path = spark_tmp_path + '/ORC_DATA'
+    num_rows = 2048
+    num_cols = 10
+    orc_gen = [int_gen for _ in range(num_cols)]
+    gen_list = [('_c' + str(i), gen) for i, gen in enumerate(orc_gen)]
+    assert_gpu_and_cpu_writes_are_equal_collect(
+        lambda spark, path: gen_df(spark, gen_list, length=num_rows).write.orc(path),
+        lambda spark, path: spark.read.orc(path).orderBy([('_c' + str(i)) for i in range(num_cols)]),
+        data_path,
+        conf={"spark.rapids.sql.asyncWrite.queryOutput.enabled": "true",
+              "spark.rapids.sql.batchSizeBytes": 4 * num_cols * 100,  # 100 rows per batch
+              "spark.rapids.sql.queryOutput.holdGpuInTask": hold_gpu})
+
+
 @ignore_order
 @pytest.mark.skipif(is_before_spark_320(), reason="is only supported in Spark 320+")
 def test_concurrent_writer(spark_tmp_path):
diff --git a/integration_tests/src/main/python/parquet_write_test.py b/integration_tests/src/main/python/parquet_write_test.py
index e5719d267b4..9b43fabd26d 100644
--- a/integration_tests/src/main/python/parquet_write_test.py
+++ b/integration_tests/src/main/python/parquet_write_test.py
@@ -705,8 +705,8 @@ def test_async_writer(spark_tmp_path, hold_gpu):
     parquet_gen = [int_gen for _ in range(num_cols)]
     gen_list = [('_c' + str(i), gen) for i, gen in enumerate(parquet_gen)]
     assert_gpu_and_cpu_writes_are_equal_collect(
-        lambda spark, path: gen_df(spark, gen_list, length=num_rows).coalesce(1).write.parquet(path),
-        lambda spark, path: spark.read.parquet(path),
+        lambda spark, path: gen_df(spark, gen_list, length=num_rows).write.parquet(path),
+        lambda spark, path: spark.read.parquet(path).orderBy([('_c' + str(i)) for i in range(num_cols)]),
         data_path,
         copy_and_update(
             writer_confs,
diff --git a/sql-plugin/src/main/scala/com/nvidia/spark/rapids/RapidsConf.scala b/sql-plugin/src/main/scala/com/nvidia/spark/rapids/RapidsConf.scala
index c4199e3ea75..aecf3dad2b3 100644
--- a/sql-plugin/src/main/scala/com/nvidia/spark/rapids/RapidsConf.scala
+++ b/sql-plugin/src/main/scala/com/nvidia/spark/rapids/RapidsConf.scala
@@ -2453,7 +2453,7 @@ val SHUFFLE_COMPRESSION_LZ4_CHUNK_SIZE = conf("spark.rapids.shuffle.compression.
       .doc("Option to turn on the async query output write. During the final output write, the " +
         "task first copies the output to the host memory, and then writes it into the storage. " +
         "When this option is enabled, the task will asynchronously write the output in the host " +
-        "memory to the storage. Only the Parquet format is supported currently.")
+        "memory to the storage. Only the Parquet and ORC formats are supported currently.")
       .internal()
       .booleanConf
       .createWithDefault(false)
diff --git a/sql-plugin/src/main/scala/org/apache/spark/sql/rapids/GpuOrcFileFormat.scala b/sql-plugin/src/main/scala/org/apache/spark/sql/rapids/GpuOrcFileFormat.scala
index 5ac2aa1fe98..422f6c2337e 100644
--- a/sql-plugin/src/main/scala/org/apache/spark/sql/rapids/GpuOrcFileFormat.scala
+++ b/sql-plugin/src/main/scala/org/apache/spark/sql/rapids/GpuOrcFileFormat.scala
@@ -169,7 +169,8 @@ class GpuOrcFileFormat extends ColumnarFileFormat with Logging {
                             options: Map[String, String],
                             dataSchema: StructType): ColumnarOutputWriterFactory = {
 
-    val orcOptions = new OrcOptions(options, sparkSession.sessionState.conf)
+    val sqlConf = sparkSession.sessionState.conf
+    val orcOptions = new OrcOptions(options, sqlConf)
 
     val conf = job.getConfiguration
 
@@ -180,12 +181,18 @@ class GpuOrcFileFormat extends ColumnarFileFormat with Logging {
     conf.asInstanceOf[JobConf]
       .setOutputFormat(classOf[org.apache.orc.mapred.OrcOutputFormat[OrcStruct]])
 
+    val asyncOutputWriteEnabled = RapidsConf.ENABLE_ASYNC_OUTPUT_WRITE.get(sqlConf)
+    // holdGpuBetweenBatches is on by default if asyncOutputWriteEnabled is on
+    val holdGpuBetweenBatches = RapidsConf.ASYNC_QUERY_OUTPUT_WRITE_HOLD_GPU_IN_TASK.get(sqlConf)
+      .getOrElse(asyncOutputWriteEnabled)
+
     new ColumnarOutputWriterFactory {
       override def newInstance(path: String,
                                dataSchema: StructType,
                                context: TaskAttemptContext,
                                debugOutputPath: Option[String]): ColumnarOutputWriter = {
-        new GpuOrcWriter(path, dataSchema, context, debugOutputPath)
+        new GpuOrcWriter(path, dataSchema, context, debugOutputPath, holdGpuBetweenBatches,
+          asyncOutputWriteEnabled)
       }
 
       override def getFileExtension(context: TaskAttemptContext): String = {
@@ -204,11 +211,15 @@ class GpuOrcFileFormat extends ColumnarFileFormat with Logging {
   }
 }
 
-class GpuOrcWriter(override val path: String,
-                   dataSchema: StructType,
-                   context: TaskAttemptContext,
-                   debugOutputPath: Option[String])
-  extends ColumnarOutputWriter(context, dataSchema, "ORC", true, debugOutputPath) {
+class GpuOrcWriter(
+    override val path: String,
+    dataSchema: StructType,
+    context: TaskAttemptContext,
+    debugOutputPath: Option[String],
+    holdGpuBetweenBatches: Boolean,
+    useAsyncWrite: Boolean)
+  extends ColumnarOutputWriter(context, dataSchema, "ORC", true, debugOutputPath,
+    holdGpuBetweenBatches, useAsyncWrite) {
 
   override val tableWriter: TableWriter = {
     val builder = SchemaUtils