diff --git a/moshi/moshi/offline.py b/moshi/moshi/offline.py
index f690620d..e62fc20c 100644
--- a/moshi/moshi/offline.py
+++ b/moshi/moshi/offline.py
@@ -57,6 +57,7 @@
 from .models.lm import load_audio as lm_load_audio
 from .models.lm import _iterate_audio as lm_iterate_audio
 from .models.lm import encode_from_sphn as lm_encode_from_sphn
+from .utils.runtime_compat import apply_runtime_compatibility_guard
 
 
 def log(level: str, msg: str):
@@ -182,6 +183,8 @@ def run_inference(
     if seed is not None and seed != -1:
         seed_all(seed)
 
+    apply_runtime_compatibility_guard(device, warn=lambda msg: log("warning", msg))
+
     # Download config.json to increment download counter
     # No worries about double-counting since config.json will be cached the second time
     hf_hub_download(hf_repo, "config.json")
@@ -428,4 +431,4 @@ def main():
 
 
 if __name__ == "__main__":
-    main()
\ No newline at end of file
+    main()
diff --git a/moshi/moshi/server.py b/moshi/moshi/server.py
index 771f491d..8d4e5c7b 100644
--- a/moshi/moshi/server.py
+++ b/moshi/moshi/server.py
@@ -49,6 +49,7 @@
 from .models import loaders, MimiModel, LMModel, LMGen
 from .utils.connection import create_ssl_context, get_lan_ip
 from .utils.logging import setup_logger, ColorizedLog
+from .utils.runtime_compat import apply_runtime_compatibility_guard
 
 
 logger = setup_logger(__name__)
@@ -406,6 +407,7 @@ def main():
         f"Static path does not exist: {static_path}."
     logger.info(f"static_path = {static_path}")
     args.device = torch_auto_device(args.device)
+    apply_runtime_compatibility_guard(args.device, warn=logger.warning)
 
     seed_all(42424242)
 
diff --git a/moshi/moshi/utils/compile.py b/moshi/moshi/utils/compile.py
index 1908d1d1..ef76182f 100644
--- a/moshi/moshi/utils/compile.py
+++ b/moshi/moshi/utils/compile.py
@@ -55,6 +55,12 @@ def no_compile():
         _compile_disabled = prev_disabled
 
 
+def set_compile_disabled(disabled: bool = True) -> None:
+    """Globally disable torch.compile-backed wrappers at runtime."""
+    global _compile_disabled
+    _compile_disabled = disabled
+
+
 def torch_compile_lazy(fun):
     """torch.compile creates a huge pool of processes, even when not using the function at all,
     e.g. with Dora. This can polute stderr when doing CTRL+C. So we do it in a lazy way.
@@ -207,6 +213,12 @@ def no_cuda_graph():
         _disable_cuda_graph = old_value
 
 
+def set_cuda_graph_disabled(disabled: bool = True) -> None:
+    """Globally disable CUDA graph replay at runtime."""
+    global _disable_cuda_graph
+    _disable_cuda_graph = disabled
+
+
 class CUDAGraphed:
     """Allow simple CUDA Graphing of a function.
 
diff --git a/moshi/moshi/utils/runtime_compat.py b/moshi/moshi/utils/runtime_compat.py
new file mode 100644
index 00000000..80ea1d6b
--- /dev/null
+++ b/moshi/moshi/utils/runtime_compat.py
@@ -0,0 +1,75 @@
+from __future__ import annotations
+
+import logging
+import os
+import re
+from typing import Callable
+
+import torch
+
+from .compile import set_compile_disabled, set_cuda_graph_disabled
+
+
+_DEFAULT_WARN = logging.getLogger(__name__).warning
+_FORCE_FAST_RUNTIME_ENV = "PERSONAPLEX_FORCE_FAST_RUNTIME"
+_H20_MIN_SAFE_TORCH = (2, 5)
+
+
+def _is_cuda_requested(device: str | torch.device | None) -> bool:
+    if device is None:
+        return True
+    if isinstance(device, torch.device):
+        return device.type == "cuda"
+    return torch.device(device).type == "cuda"
+
+
+def _parse_torch_version(version: str) -> tuple[int, int] | None:
+    match = re.match(r"^(\d+)\.(\d+)", version)
+    if match is None:
+        return None
+    return int(match.group(1)), int(match.group(2))
+
+
+def _force_fast_runtime_enabled() -> bool:
+    value = os.environ.get(_FORCE_FAST_RUNTIME_ENV, "")
+    return value.lower() not in {"", "0", "false", "no", "n"}
+
+
+def apply_runtime_compatibility_guard(
+    device: str | torch.device | None = None,
+    warn: Callable[[str], None] | None = None,
+) -> bool:
+    """Disable risky CUDA fast paths for known-problematic H20 runtimes."""
+    if not _is_cuda_requested(device) or not torch.cuda.is_available():
+        return False
+
+    if _force_fast_runtime_enabled():
+        return False
+
+    try:
+        device_names = [
+            torch.cuda.get_device_name(index) for index in range(torch.cuda.device_count())
+        ]
+    except Exception:
+        return False
+
+    if not any("H20" in name.upper() for name in device_names):
+        return False
+
+    torch_version = _parse_torch_version(torch.__version__)
+    if torch_version is None or torch_version >= _H20_MIN_SAFE_TORCH:
+        return False
+
+    set_compile_disabled(True)
+    set_cuda_graph_disabled(True)
+
+    if warn is None:
+        warn = _DEFAULT_WARN
+
+    warn(
+        "Detected NVIDIA H20 GPU(s) with torch %s; disabling torch.compile and CUDA "
+        "graphs to avoid known SIGFPE / floating-point crashes on this runtime. "
+        "Set %s=1 to keep the fast path if you have already validated it."
+        % (torch.__version__, _FORCE_FAST_RUNTIME_ENV)
+    )
+    return True