diff --git a/velox/experimental/cudf/exec/ToCudf.cpp b/velox/experimental/cudf/exec/ToCudf.cpp
index 5abebaf62a81..879fb8287034 100644
--- a/velox/experimental/cudf/exec/ToCudf.cpp
+++ b/velox/experimental/cudf/exec/ToCudf.cpp
@@ -133,6 +133,10 @@ bool CompileState::compile(bool allowCpuFallback) {
 
       // Check projects separately.
       if (projectPlanNode) {
+        if (projectPlanNode->sources()[0]->outputType()->size() == 0 ||
+            projectPlanNode->outputType()->size() == 0) {
+          return false;
+        }
         if (!canBeEvaluatedByCudf(
                 projectPlanNode->projections(), ctx->task->queryCtx().get())) {
           return false;
@@ -155,6 +159,12 @@ bool CompileState::compile(bool allowCpuFallback) {
       return false;
     }
 
+    if (aggregationPlanNode->sources()[0]->outputType()->size() == 0) {
+      // We cannot hande RowVectors with a length but no data.
+      // This is the case with count(*) global (without groupby)
+      return false;
+    }
+
     // Use the centralized canBeEvaluatedByCudf function which includes
     // expression expansion
     return canBeEvaluatedByCudf(
diff --git a/velox/experimental/cudf/tests/AggregationTest.cpp b/velox/experimental/cudf/tests/AggregationTest.cpp
index 4a5af4211d86..729646f6126b 100644
--- a/velox/experimental/cudf/tests/AggregationTest.cpp
+++ b/velox/experimental/cudf/tests/AggregationTest.cpp
@@ -422,6 +422,22 @@ TEST_F(AggregationTest, avgPartialFinalGlobal) {
   assertQuery(op, "SELECT avg(c1), avg(c2), avg(c4), avg(c5) FROM tmp");
 }
 
+TEST_F(AggregationTest, countStarGlobal) {
+  auto vectors = makeVectors(rowType_, 10, 100);
+
+  createDuckDbTable(vectors);
+
+  auto op = PlanBuilder()
+                .values(vectors)
+                .filter("c0 > 10")
+                .project({})
+                .partialAggregation({}, {"count(*)"})
+                .finalAggregation()
+                .planNode();
+
+  assertQuery(op, "SELECT count(*) FROM tmp WHERE c0 > 10");
+}
+
 TEST_F(AggregationTest, countSingleGroupBy) {
   auto vectors = makeVectors(rowType_, 10, 100);
   createDuckDbTable(vectors);