diff --git a/numba_cuda/numba/cuda/codegen.py b/numba_cuda/numba/cuda/codegen.py
index 19cda6b5a..9f906edcf 100644
--- a/numba_cuda/numba/cuda/codegen.py
+++ b/numba_cuda/numba/cuda/codegen.py
@@ -209,7 +209,9 @@ def _ensure_cc(self, cc):
             return cc
 
         device = devices.get_context().device
-        return device.compute_capability
+        cc = device.compute_capability
+        cc = (cc[0], cc[1], "a" if cc >= (9, 0) else "")
+        return cc
 
     def get_asm_str(self, cc=None):
         return "\n".join(self.get_asm_strs(cc=cc))
@@ -347,7 +349,7 @@ def get_cufunc(self):
         cufunc = self._cufunc_cache.get(device.id, None)
         if cufunc:
             return cufunc
-        cubin = self.get_cubin(cc=device.compute_capability)
+        cubin = self.get_cubin()
         module = ctx.create_module_image(
             cubin, self._setup_functions, self._teardown_functions
         )
diff --git a/numba_cuda/numba/cuda/cudadrv/driver.py b/numba_cuda/numba/cuda/cudadrv/driver.py
index fbc405433..40a12ee9a 100644
--- a/numba_cuda/numba/cuda/cudadrv/driver.py
+++ b/numba_cuda/numba/cuda/cudadrv/driver.py
@@ -2303,7 +2303,11 @@ def __init__(
         lto=None,
         additional_flags=None,
     ):
-        arch = f"sm_{cc[0]}{cc[1]}"
+        if len(cc) == 3:
+            arch = f"sm_{cc[0]}{cc[1]}{cc[2]}"
+        else:
+            arch = f"sm_{cc[0]}{cc[1]}"
+
         self.max_registers = max_registers if max_registers else None
         self.lineinfo = lineinfo
         self.cc = cc
diff --git a/numba_cuda/numba/cuda/cudadrv/nvrtc.py b/numba_cuda/numba/cuda/cudadrv/nvrtc.py
index bdd1b041a..e14d1b6c9 100644
--- a/numba_cuda/numba/cuda/cudadrv/nvrtc.py
+++ b/numba_cuda/numba/cuda/cudadrv/nvrtc.py
@@ -30,6 +30,44 @@ def _get_nvrtc_version():
     return (major, minor)
 
 
+def _verify_cc_tuple(cc):
+    version = _get_nvrtc_version()
+    ver_str = lambda version: ".".join(str(v) for v in version)
+
+    if len(cc) == 3:
+        cc, arch = (cc[0], cc[1]), cc[2]
+    else:
+        arch = ""
+
+    if arch not in ("", "a", "f"):
+        raise ValueError(
+            f"Invalid architecture suffix '{arch}' in compute capability "
+            f"{ver_str(cc)}{arch}. Expected '', 'a', or 'f'."
+        )
+
+    supported_ccs = get_supported_ccs()
+    try:
+        found = max(filter(lambda v: v <= cc, [v for v in supported_ccs]))
+    except ValueError:
+        raise RuntimeError(
+            f"Device compute capability {ver_str(cc)} is less than the "
+            f"minimum supported by NVRTC {ver_str(version)}. Supported "
+            "compute capabilities are "
+            f"{', '.join([ver_str(v) for v in supported_ccs])}."
+        )
+
+    if found != cc:
+        found = (found[0], found[1], arch)
+        warnings.warn(
+            f"Device compute capability {ver_str(cc)} is not supported by "
+            f"NVRTC {ver_str(version)}. Using {ver_str(found)} instead."
+        )
+    else:
+        found = (cc[0], cc[1], arch)
+
+    return found
+
+
 def compile(src, name, cc, ltoir=False, lineinfo=False, debug=False):
     """
     Compile a CUDA C/C++ source to PTX or LTOIR for a given compute capability.
@@ -38,7 +76,8 @@ def compile(src, name, cc, ltoir=False, lineinfo=False, debug=False):
     :type src: str
     :param name: The filename of the source (for information only)
     :type name: str
-    :param cc: A tuple ``(major, minor)`` of the compute capability
+    :param cc: A tuple ``(major, minor)`` or ``(major, minor, arch)`` of the
+        compute capability
     :type cc: tuple
     :param ltoir: Compile into LTOIR if True, otherwise into PTX
     :type ltoir: bool
@@ -49,34 +88,18 @@ def compile(src, name, cc, ltoir=False, lineinfo=False, debug=False):
     :return: The compiled PTX or LTOIR and compilation log
     :rtype: tuple
     """
+    found = _verify_cc_tuple(cc)
     version = _get_nvrtc_version()
 
-    ver_str = lambda version: ".".join(str(v) for v in version)
-    supported_ccs = get_supported_ccs()
-    try:
-        found = max(filter(lambda v: v <= cc, [v for v in supported_ccs]))
-    except ValueError:
-        raise RuntimeError(
-            f"Device compute capability {ver_str(cc)} is less than the "
-            f"minimum supported by NVRTC {ver_str(version)}. Supported "
-            "compute capabilities are "
-            f"{', '.join([ver_str(v) for v in supported_ccs])}."
-        )
-
-    if found != cc:
-        warnings.warn(
-            f"Device compute capability {ver_str(cc)} is not supported by "
-            f"NVRTC {ver_str(version)}. Using {ver_str(found)} instead."
-        )
-
     # Compilation options:
     # - Compile for the current device's compute capability.
     # - The CUDA include path is added.
     # - Relocatable Device Code (rdc) is needed to prevent device functions
     #   being optimized away.
-    major, minor = found
+    major, minor = found[0], found[1]
+    cc_arch = found[2] if len(found) == 3 else ""
 
-    arch = f"sm_{major}{minor}"
+    arch = f"sm_{major}{minor}{cc_arch}"
 
     cuda_include_dir = get_cuda_paths()["include_dir"].info
     cuda_includes = [f"{cuda_include_dir}"]
@@ -156,7 +179,7 @@ def write(self, msg):
     return result, log
 
 
-def find_closest_arch(mycc):
+def find_closest_arch(cc):
     """
     Given a compute capability, return the closest compute capability supported
     by the CUDA toolkit.
@@ -166,17 +189,17 @@ def find_closest_arch(mycc):
     """
     supported_ccs = get_supported_ccs()
 
-    for i, cc in enumerate(supported_ccs):
-        if cc == mycc:
+    for i, supported_cc in enumerate(supported_ccs):
+        if supported_cc == cc:
             # Matches
-            return cc
-        elif cc > mycc:
+            return supported_cc
+        elif supported_cc > cc:
             # Exceeded
             if i == 0:
                 # CC lower than supported
                 msg = (
                     "GPU compute capability %d.%d is not supported"
-                    "(requires >=%d.%d)" % (mycc + cc)
+                    "(requires >=%d.%d)" % (cc + supported_cc)
                 )
                 raise CCSupportError(msg)
             else:
@@ -187,13 +210,29 @@ def find_closest_arch(mycc):
     return supported_ccs[-1]  # Choose the highest
 
 
-def get_arch_option(major, minor):
+def get_arch_option(major, minor, arch=""):
     """Matches with the closest architecture option"""
     if config.FORCE_CUDA_CC:
-        arch = config.FORCE_CUDA_CC
+        fcc = config.FORCE_CUDA_CC
+        major, minor = fcc[0], fcc[1]
+        if len(fcc) == 3:
+            arch = fcc[2]
+        else:
+            arch = ""
     else:
-        arch = find_closest_arch((major, minor))
-    return "compute_%d%d" % arch
+        new_major, new_minor = find_closest_arch((major, minor))
+        if (new_major, new_minor) != (major, minor):
+            # If we picked a different major / minor, then using an
+            # arch-specific version is invalid
+            if arch != "":
+                raise ValueError(
+                    f"Can't use arch-specific compute_{major}{minor}{arch} with "
+                    "closest found compute capability "
+                    f"compute_{new_major}{new_minor}"
+                )
+        major, minor = new_major, new_minor
+
+    return f"compute_{major}{minor}{arch}"
 
 
 def get_lowest_supported_cc():
diff --git a/numba_cuda/numba/cuda/testing.py b/numba_cuda/numba/cuda/testing.py
index 56469b349..0858be48a 100644
--- a/numba_cuda/numba/cuda/testing.py
+++ b/numba_cuda/numba/cuda/testing.py
@@ -300,6 +300,10 @@ def skip_unless_cc_75(fn):
     return unittest.skipUnless(cc_X_or_above(7, 5), "requires cc >= 7.5")(fn)
 
 
+def skip_unless_cc_90(fn):
+    return unittest.skipUnless(cc_X_or_above(9, 0), "requires cc >= 9.0")(fn)
+
+
 def xfail_unless_cudasim(fn):
     if config.ENABLE_CUDASIM:
         return fn
diff --git a/numba_cuda/numba/cuda/tests/cudadrv/test_cuda_driver.py b/numba_cuda/numba/cuda/tests/cudadrv/test_cuda_driver.py
index c12bf86e3..5774784fd 100644
--- a/numba_cuda/numba/cuda/tests/cudadrv/test_cuda_driver.py
+++ b/numba_cuda/numba/cuda/tests/cudadrv/test_cuda_driver.py
@@ -2,6 +2,8 @@
 # SPDX-License-Identifier: BSD-2-Clause
 
 from ctypes import c_int, sizeof
+import cffi
+import numpy as np
 
 from numba.cuda.cudadrv.driver import host_to_device, device_to_host, driver
 from numba.cuda._compat import (
@@ -12,11 +14,14 @@
 )
 
 from numba import cuda
-from numba.cuda.cudadrv import devices
-from numba.cuda.testing import unittest, CUDATestCase
+from numba.cuda.cudadrv import devices, nvrtc
+from numba.cuda.testing import unittest, CUDATestCase, skip_unless_cc_90
 from numba.cuda.testing import skip_on_cudasim
+from numba.cuda.tests.support import override_config
+from numba.core import types
 import contextlib
 
+
 ptx1 = """
     .version 1.4
     .target sm_10, map_f64_to_f32
@@ -390,5 +395,63 @@ def test_device_get_uuid(self):
         self.assertRegex(dev.uuid, uuid_format)
 
 
+@skip_on_cudasim("CUDA asm unsupported in the simulator")
+class TestAcceleratedArchitecture(CUDATestCase):
+    @skip_unless_cc_90
+    def test_device_arch_specific(self):
+        set_desc = cuda.CUSource("""
+        #include <cuda_fp16.h>
+
+        extern "C" __device__
+        int set_descriptor(int *out, int* smem) {
+            unsigned usmem = __cvta_generic_to_shared(smem);
+            asm volatile("tensormap.replace.tile.rank.shared::cta.b1024.b32 [%0], 2;" :: "r"(usmem));
+            return 0;
+        }
+        """)
+
+        set_descriptor = cuda.declare_device(
+            "set_descriptor",
+            types.int32(types.CPointer(types.int32)),
+            link=[set_desc],
+        )
+
+        ffi = cffi.FFI()
+
+        @cuda.jit
+        def kernel(a):
+            sm = cuda.shared.array(1, dtype=np.int32)
+            data_ptr = ffi.from_buffer(sm)
+            set_descriptor(data_ptr)
+
+            # just to prevent optimization:
+            sm[0] = 2
+            cuda.syncthreads()
+            a[0] = sm[0]
+
+        a = np.ones(1, dtype=np.int32)
+
+        kernel[1, 1](a)
+
+        assert a[0] == 2
+
+    def test_get_arch_option_force_cc(self):
+        with override_config("FORCE_CUDA_CC", (8, 0)):
+            arch = nvrtc.get_arch_option(9, 0, "a")
+            self.assertEqual("compute_80", arch)
+
+    def test_get_arch_option_force_cc_arch_specific(self):
+        with override_config("FORCE_CUDA_CC", (9, 0, "a")):
+            arch = nvrtc.get_arch_option(9, 0)
+            self.assertEqual("compute_90a", arch)
+
+    def test_get_arch_option_illegal_arch_specific(self):
+        # Using a fictitious very high compute capability (major 99) for this
+        # test to ensure future toolkits are unlikely to provide an exact match
+        msg = "Can't use arch-specific compute_990a with"
+        with self.assertRaisesRegex(ValueError, msg):
+            nvrtc.get_arch_option(99, 0, "a")
+
+
 if __name__ == "__main__":
     unittest.main()
diff --git a/numba_cuda/numba/cuda/tests/cudapy/test_compiler.py b/numba_cuda/numba/cuda/tests/cudapy/test_compiler.py
index ae668157d..ee3691ca1 100644
--- a/numba_cuda/numba/cuda/tests/cudapy/test_compiler.py
+++ b/numba_cuda/numba/cuda/tests/cudapy/test_compiler.py
@@ -13,6 +13,7 @@
     compile_all,
     LinkableCode,
 )
+from numba.cuda.cudadrv import nvrtc
 from numba.cuda.testing import skip_on_cudasim, unittest, CUDATestCase
 
 TEST_BIN_DIR = os.getenv("NUMBA_CUDA_TEST_BIN_DIR")
@@ -661,6 +662,16 @@ def use_nanosleep(x):
             ),
         )
 
+    def test_compile_ptx_arch_specific(self):
+        ptx, resty = cuda.compile_ptx(lambda: None, tuple(), cc=(9, 0, "a"))
+        self.assertIn(".target sm_90a", ptx)
+
+        if nvrtc._get_nvrtc_version() >= (12, 9):
+            ptx, resty = cuda.compile_ptx(
+                lambda: None, tuple(), cc=(10, 0, "f")
+            )
+            self.assertIn(".target sm_100f", ptx)
+
 
 @skip_on_cudasim("Compilation unsupported in the simulator")
 class TestCompileWithLaunchBounds(unittest.TestCase):
diff --git a/pixi.lock b/pixi.lock
index 285794d81..51fd489c6 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -19,8 +19,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/execnet-2.1.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.20.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-78.1-h33c6efd_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.20.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-78.2-h33c6efd_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/identify-1.2.2-py_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45-default_hbd61a6d_105.conda
@@ -30,7 +30,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_16.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.1-hb9d3cd8_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb9d3cd8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.51.1-hf4e2dac_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.51.2-hf4e2dac_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_16.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.41.3-h5347b49_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda
@@ -55,15 +55,15 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-80.9.0-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_ha0e22de_103.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.3.0-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.36.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.36.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h280c20c_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda
       - pypi: https://files.pythonhosted.org/packages/5c/40/69ca9ea803303e14301fff9d4931b6d080b9603e134df0419c55e9764df4/filecheck-1.0.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/79/2b/a826ba18d2179a56e144aef69e57fb2ab7c464ef0b2111940ee8a3a223a2/ml_dtypes-0.5.4-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
-      - pypi: https://files.pythonhosted.org/packages/8c/d9/f9a69ae564bbc7236a35aa883319364ef5fd41f72aa320cc1cbe66148fe2/numpy-2.4.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
+      - pypi: https://files.pythonhosted.org/packages/10/a7/cfbe475c35371cae1358e61f20c5f075badc18c4797ab4354140e1d283cf/numpy-2.4.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
       linux-aarch64:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-2_gnu.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/bzip2-1.0.8-h4777abc_8.conda
@@ -74,8 +74,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/execnet-2.1.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.20.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/icu-78.1-hb1525cb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.20.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/icu-78.2-hb1525cb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.15-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.45-default_h1979696_105.conda
@@ -85,7 +85,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgomp-15.2.0-h8acb6b2_16.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/liblzma-5.8.1-h86ecc28_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libmpdec-4.0.0-h86ecc28_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.51.1-h10b116e_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.51.2-h10b116e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-15.2.0-hef695bb_16.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libuuid-2.41.3-h1022ec0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.1-h86ecc28_2.conda
@@ -110,16 +110,16 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/readline-8.3-hb682ff5_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-80.9.0-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/tk-8.6.13-noxft_h561c983_103.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.3.0-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ukkonen-1.0.1-py314hd7d8586_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.36.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.36.1-pyhd8ed1ab_0.conda
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