diff --git a/tests/scheduling_utils.py b/tests/scheduling_utils.py
index 0bf00fad6..bc395094c 100644
--- a/tests/scheduling_utils.py
+++ b/tests/scheduling_utils.py
@@ -57,8 +57,6 @@ def check_scheduler_inference_steps(
     # set env vars
     monkeypatch.setenv("VLLM_USE_V1", "1")
     monkeypatch.setenv("VLLM_SPYRE_DYNAMO_BACKEND", backend)
-    if available_blocks > 0:
-        monkeypatch.setenv("VLLM_SPYRE_N_BLOCKS", str(available_blocks))
     if use_cb:
         monkeypatch.setenv("VLLM_SPYRE_USE_CB", "1")
 
@@ -90,7 +88,9 @@ def check_scheduler_inference_steps(
                              tokenizer=model,
                              max_model_len=max_model_len,
                              block_size=max_model_len,
-                             max_num_seqs=max_num_seqs)
+                             max_num_seqs=max_num_seqs,
+                             num_gpu_blocks_override=available_blocks
+                             if available_blocks > 0 else None)
     vllm_config = engine_args.create_engine_config()
     executor_class = Executor.get_class(vllm_config)
     engine_core = EngineCore(vllm_config=vllm_config,
diff --git a/vllm_spyre/envs.py b/vllm_spyre/envs.py
index 6d7148def..916778dd3 100644
--- a/vllm_spyre/envs.py
+++ b/vllm_spyre/envs.py
@@ -9,7 +9,6 @@
     VLLM_SPYRE_WARMUP_NEW_TOKENS: Optional[list[int]] = None
     VLLM_SPYRE_WARMUP_BATCH_SIZES: Optional[list[int]] = None
     VLLM_SPYRE_USE_CB: bool = False
-    VLLM_SPYRE_N_BLOCKS: int = 0
     VLLM_SPYRE_PERF_METRIC_LOGGING_ENABLED: int = 0
     VLLM_SPYRE_PERF_METRIC_LOGGING_DIR: str = "/tmp"
     VLLM_SPYRE_OVERRIDE_SIGNALS_HANDLER: bool = False
@@ -75,10 +74,6 @@ def _backend_backwards_compat() -> str:
     "VLLM_SPYRE_USE_CB":
     lambda: bool(int(os.getenv("VLLM_SPYRE_USE_CB", "0"))),
 
-    # Overriding the number of KV cache blocks available on Spyre (and CPU)
-    "VLLM_SPYRE_N_BLOCKS":
-    lambda: int(os.getenv("VLLM_SPYRE_N_BLOCKS", 0)),
-
     # Enable performance metric logging. This captures startup information
     # such as warmup times, and loading times. It is turned off by default.
     "VLLM_SPYRE_PERF_METRIC_LOGGING_ENABLED":
diff --git a/vllm_spyre/model_executor/model_loader/spyre.py b/vllm_spyre/model_executor/model_loader/spyre.py
index 25bc5e6e1..0e2b9a092 100644
--- a/vllm_spyre/model_executor/model_loader/spyre.py
+++ b/vllm_spyre/model_executor/model_loader/spyre.py
@@ -331,8 +331,9 @@ def __init__(
 
     def _set_past_key_value_states(self, num_blocks) -> None:
         # overwrite num_blocks for testing scheduler constraints
-        if envs_spyre.VLLM_SPYRE_N_BLOCKS > 0:
-            num_blocks = envs_spyre.VLLM_SPYRE_N_BLOCKS
+        num_blocks_override = SpyrePlatform.get_num_spyre_blocks_override()
+        if num_blocks_override > 0:
+            num_blocks = num_blocks_override
 
         # List[layers] of Tuple[k,v] of
         # Tensor[num_blocks, block_size, num_kv_heads, head_dim]
diff --git a/vllm_spyre/platform.py b/vllm_spyre/platform.py
index f8e22d1fa..80bc2a30f 100644
--- a/vllm_spyre/platform.py
+++ b/vllm_spyre/platform.py
@@ -43,6 +43,7 @@ class SpyrePlatform(Platform):
     supported_quantization: list[str] = ["gptq"]
     _warmup_shapes: Optional[tuple[dict[str, int], ...]] = None
     _block_size: int = 64  # hardcoded Spyre constraint for now
+    _num_spyre_blocks_override: int = -1  # override num of KV cache blocks
     _config: VllmConfig = None
 
     @classmethod
@@ -136,6 +137,10 @@ def check_and_update_config(cls, vllm_config: VllmConfig) -> None:
         #       budget available to schedule a full batch
         if cache_config is not None:
             if envs.VLLM_USE_V1:
+                # overriding number of available Spyre blocks if not None
+                if cache_config.num_gpu_blocks_override:
+                    cls._num_spyre_blocks_override = \
+                        cache_config.num_gpu_blocks_override
                 # The V1 scheduler actually needs 2 blocks for each sequence...
                 cache_config.num_gpu_blocks_override = \
                     scheduler_config.max_num_seqs * 2
@@ -237,6 +242,10 @@ def get_warmup_shapes(
     def get_block_size(cls) -> int:
         return cls._block_size
 
+    @classmethod
+    def get_num_spyre_blocks_override(cls) -> int:
+        return cls._num_spyre_blocks_override
+
     @classmethod
     def supports_v1(cls, model_config: ModelConfig) -> bool:
         """Returns whether the current platform can support v1 for the supplied
diff --git a/vllm_spyre/v1/worker/spyre_model_runner.py b/vllm_spyre/v1/worker/spyre_model_runner.py
index 61a6cc88e..a6122ec9c 100644
--- a/vllm_spyre/v1/worker/spyre_model_runner.py
+++ b/vllm_spyre/v1/worker/spyre_model_runner.py
@@ -725,11 +725,12 @@ def finish_warmup(self) -> None:
 
     def _set_blocks(self, num_blocks: int) -> None:
         # overwrite num_blocks for testing scheduler constraints
-        if envs_spyre.VLLM_SPYRE_N_BLOCKS > 0:
+        num_blocks_override = SpyrePlatform.get_num_spyre_blocks_override()
+        if num_blocks_override > 0:
             logger.info(
                 "[WARMUP] Overriding number of KV cache blocks on "
-                "Spyre/CPU to %d.", envs_spyre.VLLM_SPYRE_N_BLOCKS)
-            num_blocks = envs_spyre.VLLM_SPYRE_N_BLOCKS
+                "Spyre/CPU to %d.", num_blocks_override)
+            num_blocks = num_blocks_override
 
         # set number of available blocks and populate block_pool
         self.n_blocks = num_blocks