diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index 7e1461e..ffa0db7 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -36,7 +36,7 @@ jobs:
 
       - name: MyPy
         run: |
-          mypy -v --disallow-untyped-defs --enable-error-code redundant-expr src test
+          mypy --disallow-untyped-defs --enable-error-code redundant-expr src test
 
       - name: Ensure that docs build
         run: |
diff --git a/docs/source/01-decode.ipynb b/docs/source/01-decode.ipynb
index e4be991..73c1f71 100644
--- a/docs/source/01-decode.ipynb
+++ b/docs/source/01-decode.ipynb
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -39,7 +39,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -48,7 +48,7 @@
        "FormatInfo(name='ocp_e5m2', k=8, precision=3, emax=15, has_nz=True, has_infs=True, num_high_nans=3, has_subnormals=True, is_signed=True, is_twos_complement=False)"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -67,7 +67,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -258,7 +258,7 @@
        "[256 rows x 7 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -282,12 +282,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x400 with 1 Axes>"
       ]
@@ -341,7 +341,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -398,7 +398,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -417,7 +417,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -442,7 +442,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "gfloat",
    "language": "python",
    "name": "python3"
   },
@@ -456,7 +456,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.0"
+   "version": "3.12.3"
   }
  },
  "nbformat": 4,
diff --git a/docs/source/03-value-tables.ipynb b/docs/source/03-value-tables.ipynb
index 731430d..1d4ca6e 100644
--- a/docs/source/03-value-tables.ipynb
+++ b/docs/source/03-value-tables.ipynb
@@ -267,7 +267,7 @@
     "    border-collapse: collapse;\n",
     "  }}\n",
     "\n",
-    "  \n",
+    "\n",
     "  table {{\n",
     "    margin: 0pt;\n",
     "    font-family: monospace;\n",
@@ -280,24 +280,24 @@
     "    height: 4ex;\n",
     "    vertical-align: top;\n",
     "  }}\n",
-    "  \n",
+    "\n",
     "  td {{\n",
     "    text-align: left;\n",
     "    border: solid 2px #ccc;\n",
     "    width: {98/cols}%;\n",
     "  }}\n",
-    "  \n",
+    "\n",
     "  .special {{\n",
     "    color: #874723;\n",
     "  }}\n",
-    "  \n",
+    "\n",
     "  .subnormal {{\n",
     "    color: #0121a7;\n",
     "  }}\n",
-    "  \n",
+    "\n",
     "  .normal {{\n",
     "  }}\n",
-    "  \n",
+    "\n",
     "  @media (prefers-color-scheme: dark) {{\n",
     "    .special {{\n",
     "      color: orange;\n",
@@ -306,7 +306,7 @@
     "    .subnormal {{\n",
     "      color: cyan;\n",
     "    }}\n",
-    "    \n",
+    "\n",
     "    .normal {{\n",
     "    }}\n",
     "  }}\n",
@@ -386,7 +386,7 @@
        "    border-collapse: collapse;\n",
        "  }\n",
        "\n",
-       "  \n",
+       "\n",
        "  table {\n",
        "    margin: 0pt;\n",
        "    font-family: monospace;\n",
@@ -399,24 +399,24 @@
        "    height: 4ex;\n",
        "    vertical-align: top;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  td {\n",
        "    text-align: left;\n",
        "    border: solid 2px #ccc;\n",
        "    width: 49.0%;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .special {\n",
        "    color: #874723;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .subnormal {\n",
        "    color: #0121a7;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .normal {\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  @media (prefers-color-scheme: dark) {\n",
        "    .special {\n",
        "      color: orange;\n",
@@ -425,7 +425,7 @@
        "    .subnormal {\n",
        "      color: cyan;\n",
        "    }\n",
-       "    \n",
+       "\n",
        "    .normal {\n",
        "    }\n",
        "  }\n",
@@ -550,7 +550,7 @@
        "    border-collapse: collapse;\n",
        "  }\n",
        "\n",
-       "  \n",
+       "\n",
        "  table {\n",
        "    margin: 0pt;\n",
        "    font-family: monospace;\n",
@@ -563,24 +563,24 @@
        "    height: 4ex;\n",
        "    vertical-align: top;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  td {\n",
        "    text-align: left;\n",
        "    border: solid 2px #ccc;\n",
        "    width: 49.0%;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .special {\n",
        "    color: #874723;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .subnormal {\n",
        "    color: #0121a7;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .normal {\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  @media (prefers-color-scheme: dark) {\n",
        "    .special {\n",
        "      color: orange;\n",
@@ -589,7 +589,7 @@
        "    .subnormal {\n",
        "      color: cyan;\n",
        "    }\n",
-       "    \n",
+       "\n",
        "    .normal {\n",
        "    }\n",
        "  }\n",
@@ -710,7 +710,7 @@
        "    border-collapse: collapse;\n",
        "  }\n",
        "\n",
-       "  \n",
+       "\n",
        "  table {\n",
        "    margin: 0pt;\n",
        "    font-family: monospace;\n",
@@ -723,24 +723,24 @@
        "    height: 4ex;\n",
        "    vertical-align: top;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  td {\n",
        "    text-align: left;\n",
        "    border: solid 2px #ccc;\n",
        "    width: 49.0%;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .special {\n",
        "    color: #874723;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .subnormal {\n",
        "    color: #0121a7;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .normal {\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  @media (prefers-color-scheme: dark) {\n",
        "    .special {\n",
        "      color: orange;\n",
@@ -749,7 +749,7 @@
        "    .subnormal {\n",
        "      color: cyan;\n",
        "    }\n",
-       "    \n",
+       "\n",
        "    .normal {\n",
        "    }\n",
        "  }\n",
@@ -870,7 +870,7 @@
        "    border-collapse: collapse;\n",
        "  }\n",
        "\n",
-       "  \n",
+       "\n",
        "  table {\n",
        "    margin: 0pt;\n",
        "    font-family: monospace;\n",
@@ -883,24 +883,24 @@
        "    height: 4ex;\n",
        "    vertical-align: top;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  td {\n",
        "    text-align: left;\n",
        "    border: solid 2px #ccc;\n",
        "    width: 49.0%;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .special {\n",
        "    color: #874723;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .subnormal {\n",
        "    color: #0121a7;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .normal {\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  @media (prefers-color-scheme: dark) {\n",
        "    .special {\n",
        "      color: orange;\n",
@@ -909,7 +909,7 @@
        "    .subnormal {\n",
        "      color: cyan;\n",
        "    }\n",
-       "    \n",
+       "\n",
        "    .normal {\n",
        "    }\n",
        "  }\n",
@@ -1039,7 +1039,7 @@
        "    border-collapse: collapse;\n",
        "  }\n",
        "\n",
-       "  \n",
+       "\n",
        "  table {\n",
        "    margin: 0pt;\n",
        "    font-family: monospace;\n",
@@ -1052,24 +1052,24 @@
        "    height: 4ex;\n",
        "    vertical-align: top;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  td {\n",
        "    text-align: left;\n",
        "    border: solid 2px #ccc;\n",
        "    width: 49.0%;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .special {\n",
        "    color: #874723;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .subnormal {\n",
        "    color: #0121a7;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .normal {\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  @media (prefers-color-scheme: dark) {\n",
        "    .special {\n",
        "      color: orange;\n",
@@ -1078,7 +1078,7 @@
        "    .subnormal {\n",
        "      color: cyan;\n",
        "    }\n",
-       "    \n",
+       "\n",
        "    .normal {\n",
        "    }\n",
        "  }\n",
@@ -1391,7 +1391,7 @@
        "    border-collapse: collapse;\n",
        "  }\n",
        "\n",
-       "  \n",
+       "\n",
        "  table {\n",
        "    margin: 0pt;\n",
        "    font-family: monospace;\n",
@@ -1404,24 +1404,24 @@
        "    height: 4ex;\n",
        "    vertical-align: top;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  td {\n",
        "    text-align: left;\n",
        "    border: solid 2px #ccc;\n",
        "    width: 24.5%;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .special {\n",
        "    color: #874723;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .subnormal {\n",
        "    color: #0121a7;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .normal {\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  @media (prefers-color-scheme: dark) {\n",
        "    .special {\n",
        "      color: orange;\n",
@@ -1430,7 +1430,7 @@
        "    .subnormal {\n",
        "      color: cyan;\n",
        "    }\n",
-       "    \n",
+       "\n",
        "    .normal {\n",
        "    }\n",
        "  }\n",
@@ -1931,7 +1931,7 @@
        "    border-collapse: collapse;\n",
        "  }\n",
        "\n",
-       "  \n",
+       "\n",
        "  table {\n",
        "    margin: 0pt;\n",
        "    font-family: monospace;\n",
@@ -1944,24 +1944,24 @@
        "    height: 4ex;\n",
        "    vertical-align: top;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  td {\n",
        "    text-align: left;\n",
        "    border: solid 2px #ccc;\n",
        "    width: 24.5%;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .special {\n",
        "    color: #874723;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .subnormal {\n",
        "    color: #0121a7;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .normal {\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  @media (prefers-color-scheme: dark) {\n",
        "    .special {\n",
        "      color: orange;\n",
@@ -1970,7 +1970,7 @@
        "    .subnormal {\n",
        "      color: cyan;\n",
        "    }\n",
-       "    \n",
+       "\n",
        "    .normal {\n",
        "    }\n",
        "  }\n",
@@ -2480,7 +2480,7 @@
        "    border-collapse: collapse;\n",
        "  }\n",
        "\n",
-       "  \n",
+       "\n",
        "  table {\n",
        "    margin: 0pt;\n",
        "    font-family: monospace;\n",
@@ -2493,24 +2493,24 @@
        "    height: 4ex;\n",
        "    vertical-align: top;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  td {\n",
        "    text-align: left;\n",
        "    border: solid 2px #ccc;\n",
        "    width: 24.5%;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .special {\n",
        "    color: #874723;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .subnormal {\n",
        "    color: #0121a7;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .normal {\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  @media (prefers-color-scheme: dark) {\n",
        "    .special {\n",
        "      color: orange;\n",
@@ -2519,7 +2519,7 @@
        "    .subnormal {\n",
        "      color: cyan;\n",
        "    }\n",
-       "    \n",
+       "\n",
        "    .normal {\n",
        "    }\n",
        "  }\n",
@@ -3031,7 +3031,7 @@
        "    border-collapse: collapse;\n",
        "  }\n",
        "\n",
-       "  \n",
+       "\n",
        "  table {\n",
        "    margin: 0pt;\n",
        "    font-family: monospace;\n",
@@ -3044,24 +3044,24 @@
        "    height: 4ex;\n",
        "    vertical-align: top;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  td {\n",
        "    text-align: left;\n",
        "    border: solid 2px #ccc;\n",
        "    width: 49.0%;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .special {\n",
        "    color: #874723;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .subnormal {\n",
        "    color: #0121a7;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .normal {\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  @media (prefers-color-scheme: dark) {\n",
        "    .special {\n",
        "      color: orange;\n",
@@ -3070,7 +3070,7 @@
        "    .subnormal {\n",
        "      color: cyan;\n",
        "    }\n",
-       "    \n",
+       "\n",
        "    .normal {\n",
        "    }\n",
        "  }\n",
@@ -3161,7 +3161,7 @@
        "    border-collapse: collapse;\n",
        "  }\n",
        "\n",
-       "  \n",
+       "\n",
        "  table {\n",
        "    margin: 0pt;\n",
        "    font-family: monospace;\n",
@@ -3174,24 +3174,24 @@
        "    height: 4ex;\n",
        "    vertical-align: top;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  td {\n",
        "    text-align: left;\n",
        "    border: solid 2px #ccc;\n",
        "    width: 49.0%;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .special {\n",
        "    color: #874723;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .subnormal {\n",
        "    color: #0121a7;\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  .normal {\n",
        "  }\n",
-       "  \n",
+       "\n",
        "  @media (prefers-color-scheme: dark) {\n",
        "    .special {\n",
        "      color: orange;\n",
@@ -3200,7 +3200,7 @@
        "    .subnormal {\n",
        "      color: cyan;\n",
        "    }\n",
-       "    \n",
+       "\n",
        "    .normal {\n",
        "    }\n",
        "  }\n",
@@ -3264,7 +3264,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "gfloat",
    "language": "python",
    "name": "python3"
   },
@@ -3278,7 +3278,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.9"
+   "version": "3.12.3"
   }
  },
  "nbformat": 4,
diff --git a/src/gfloat/round_ndarray.py b/src/gfloat/round_ndarray.py
index 76cc7cb..1a2a6d2 100644
--- a/src/gfloat/round_ndarray.py
+++ b/src/gfloat/round_ndarray.py
@@ -1,7 +1,6 @@
 # Copyright (c) 2024 Graphcore Ltd. All rights reserved.
 
-from typing import Optional
-from types import ModuleType
+from typing import Optional, Tuple
 from .types import FormatInfo, RoundMode
 
 import numpy.typing as npt
@@ -28,6 +27,20 @@ def _ldexp(v: npt.NDArray, s: npt.NDArray) -> npt.NDArray:
     return xp.where(v < 1.0, vlo, vhi)
 
 
+def _frexp(v: npt.NDArray) -> Tuple[None, npt.NDArray]:
+    xp = array_api_compat.array_namespace(v)
+    if (
+        array_api_compat.is_torch_array(v)  # type: ignore
+        or array_api_compat.is_jax_array(v)  # type: ignore
+        or array_api_compat.is_numpy_array(v)
+    ):
+        return xp.frexp(v)
+
+    # Beware #49
+    expval = xp.astype(xp.floor(xp.log2(v)), xp.int64)
+    return (None, expval)
+
+
 def round_ndarray(
     fi: FormatInfo,
     v: npt.NDArray,
@@ -88,7 +101,7 @@ def to_int(x: npt.NDArray) -> npt.NDArray:
     def to_float(x: npt.NDArray) -> npt.NDArray:
         return xp.astype(x, v.dtype)
 
-    expval = to_int(xp.floor(xp.log2(absv_masked)))
+    expval = _frexp(absv_masked)[1] - 1
 
     if fi.has_subnormals:
         expval = xp_maximum(expval, 1 - bias)
diff --git a/test/test_round.py b/test/test_round.py
index badea4d..ab40156 100644
--- a/test/test_round.py
+++ b/test/test_round.py
@@ -595,3 +595,25 @@ def test_stochastic_rounding_scalar_eq_array(
         # Ensure faithful rounding
         if alpha < 1.0:
             assert ((val_array == v0) | (val_array == v1)).all()
+
+
+def test_large_bfloat() -> None:
+    # from https://github.com/graphcore-research/gfloat/pull/49
+
+    a = 6.6461399789245764e35
+    b = 6.620178494631905e35
+
+    assert b < a
+    rounded_a = round_float(format_info_bfloat16, a, RoundMode.TowardZero)
+    rounded_b = round_float(format_info_bfloat16, b, RoundMode.TowardZero)
+
+    assert rounded_b <= rounded_a
+
+    rounded_a_array = round_ndarray(
+        format_info_bfloat16, np.array([a]), RoundMode.TowardZero
+    )
+    rounded_b_array = round_ndarray(
+        format_info_bfloat16, np.array([b]), RoundMode.TowardZero
+    )
+
+    assert all(rounded_b_array <= rounded_a_array)