diff --git a/tpu_inference/worker/tpu_worker.py b/tpu_inference/worker/tpu_worker.py
index 092dc26f0..25f48ce7c 100644
--- a/tpu_inference/worker/tpu_worker.py
+++ b/tpu_inference/worker/tpu_worker.py
@@ -18,7 +18,8 @@
 from vllm.lora.request import LoRARequest
 from vllm.tasks import SupportedTask
 from vllm.v1 import utils as vllm_utils
-from vllm.v1.core.kv_cache_utils import get_num_blocks, get_uniform_page_size
+from vllm.v1.core.kv_cache_utils import (get_kv_cache_groups, get_num_blocks,
+                                         get_uniform_page_size)
 from vllm.v1.core.sched.output import GrammarOutput, SchedulerOutput
 from vllm.v1.kv_cache_interface import KVCacheConfig, KVCacheSpec
 from vllm.v1.outputs import DraftTokenIds, ModelRunnerOutput
@@ -382,33 +383,37 @@ def get_kv_cache_spec(self) -> dict[str, KVCacheSpec]:
         # responsible for this translation. When vLLM can be modified, this
         # method should be changed to return `dict[str, AbstractKVCacheSpec]`,
         # and the vLLM side should be updated to handle the translation.
-        kv_cache_specs = self.model_runner.get_kv_cache_spec()
+        kv_cache_spec = self.model_runner.get_kv_cache_spec()
 
-        if len(kv_cache_specs) == 0:
-            return kv_cache_specs
+        if len(kv_cache_spec) == 0:
+            return kv_cache_spec
 
         # TODO(kyuyeunk): Instead of checking page_size_bytes here, introduce
         # feature that allows overriding page_size_bytes of KVCacheSpec.
         vllm_page_size_bytes = get_uniform_page_size(
-            list(kv_cache_specs.values()))
+            list(kv_cache_spec.values()))
         attention_page_size_bytes = get_attention_page_size_bytes(
-            self.model_runner.mesh, kv_cache_specs)
+            self.model_runner.mesh, kv_cache_spec)
 
         if vllm_page_size_bytes != attention_page_size_bytes:
             logger.info(
-                f"KV cache page size calculated by vLLM "
-                f"({vllm_page_size_bytes} Bytes) does not match with actual "
-                f"page size used by Attention kernel ({attention_page_size_bytes} Bytes). "
-                f"Recalculating number of KV blocks using actual page size.")
-
+                f"Page size calculated by vLLM ({vllm_page_size_bytes} Bytes) "
+                f"does not match with actual page size used by the kernel "
+                f"({attention_page_size_bytes} Bytes). Recalculating number of "
+                f"KV blocks using actual page size.")
+
+            kv_cache_groups = get_kv_cache_groups(self.vllm_config,
+                                                  kv_cache_spec)
+            group_size = max(
+                len(group.layer_names) for group in kv_cache_groups)
             available_memory = self.determine_available_memory()
-            num_blocks = get_num_blocks(self.vllm_config, len(kv_cache_specs),
+            num_blocks = get_num_blocks(self.vllm_config, group_size,
                                         available_memory,
                                         attention_page_size_bytes)
             cache_config = self.vllm_config.cache_config
             cache_config.num_gpu_blocks_override = num_blocks
 
-        return kv_cache_specs
+        return kv_cache_spec
 
     def initialize_from_config(
         self,