diff --git a/cuda_bindings/benchmarks/.gitignore b/cuda_bindings/benchmarks/.gitignore
new file mode 100644
index 0000000000..287a5e99af
--- /dev/null
+++ b/cuda_bindings/benchmarks/.gitignore
@@ -0,0 +1,10 @@
+# Build artifacts
+.build/
+__pycache__/
+
+# Benchmark results
+*.json
+.benchmarks/
+
+# Pixi environments
+.pixi/
diff --git a/cuda_bindings/benchmarks/README.md b/cuda_bindings/benchmarks/README.md
new file mode 100644
index 0000000000..d2db96dcdf
--- /dev/null
+++ b/cuda_bindings/benchmarks/README.md
@@ -0,0 +1,42 @@
+# cuda.bindings Benchmarks
+
+## Usage
+
+Requires pixi.
+
+There are a couple of environments defined based on how `cuda.bindings` is installed:
+
+- `wheel`: Installs from conda packages
+- `source`: Installs from source
+
+There are a couple of tasks defined:
+
+- `bench`: Runs the Python benchmarks
+- `bench-cpp`: Runs the C++ benchmarks
+
+To run the benchmarks combine the environment and task:
+
+```bash
+
+# Run the Python benchmarks in the wheel environment
+pixi run -e wheel bench
+
+# Run the Python benchmarks in the source environment
+pixi run -e source bench
+
+# Run the C++ benchmarks (environment is irrelavant here)
+pixi run -e wheel bench-cpp
+```
+
+## pyperf JSON
+
+The benchmarks are run using [pyperf](https://pyperf.readthedocs.io/en/latest/).
+The results are written to a JSON file in the format expected by pyperf.
+
+The C++ benchmarks also generate a valid JSON file, in the same format.
+
+```
+pixi run -e wheel bench-cpp -0 cpp.json
+
+pixi run -e wheel pyperf stats cpp.json
+```
diff --git a/cuda_bindings/benchmarks/bench_pointer_attributes.py b/cuda_bindings/benchmarks/bench_pointer_attributes.py
new file mode 100644
index 0000000000..e66ca366a7
--- /dev/null
+++ b/cuda_bindings/benchmarks/bench_pointer_attributes.py
@@ -0,0 +1,17 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+#
+# SPDX-License-Identifier: Apache-2.0
+
+from cuda.bindings import driver as cuda
+
+from runner.runtime import alloc_persistent, assert_drv
+
+
+# Allocate memory used by the tests
+PTR = alloc_persistent(1 << 18)
+ATTRIBUTE = cuda.CUpointer_attribute.CU_POINTER_ATTRIBUTE_MEMORY_TYPE
+
+
+def bench_pointer_get_attribute() -> None:
+    err, _ = cuda.cuPointerGetAttribute(ATTRIBUTE, PTR)
+    assert_drv(err)
diff --git a/cuda_bindings/benchmarks/cpp/CMakeLists.txt b/cuda_bindings/benchmarks/cpp/CMakeLists.txt
new file mode 100644
index 0000000000..d0b1758062
--- /dev/null
+++ b/cuda_bindings/benchmarks/cpp/CMakeLists.txt
@@ -0,0 +1,48 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+#
+# SPDX-License-Identifier: Apache-2.0
+
+cmake_minimum_required(VERSION 3.24)
+project(cuda_bindings_cpp_benchmarks LANGUAGES CXX)
+
+set(CMAKE_CXX_STANDARD 17)
+set(CMAKE_CXX_STANDARD_REQUIRED ON)
+set(CMAKE_CXX_EXTENSIONS OFF)
+
+set(CUDA_HOME_HINT "$ENV{CUDA_HOME}")
+set(CONDA_PREFIX_HINT "$ENV{CONDA_PREFIX}")
+
+# Find cuda.h (driver API header)
+find_path(
+    CUDA_DRIVER_INCLUDE_DIR
+    cuda.h
+    HINTS
+        "${CUDA_HOME_HINT}/include"
+        "${CONDA_PREFIX_HINT}/targets/x86_64-linux/include"
+        "${CONDA_PREFIX_HINT}/include"
+)
+
+# Find libcuda (driver API library) — lives on the system, not in toolkit
+find_library(
+    CUDA_DRIVER_LIBRARY
+    NAMES cuda
+    HINTS
+        "/usr/lib/x86_64-linux-gnu"
+        "/usr/lib64"
+        "${CUDA_HOME_HINT}/lib64/stubs"
+        "${CUDA_HOME_HINT}/lib/stubs"
+        "${CONDA_PREFIX_HINT}/targets/x86_64-linux/lib/stubs"
+        "${CONDA_PREFIX_HINT}/lib/stubs"
+)
+
+if(NOT CUDA_DRIVER_INCLUDE_DIR)
+    message(FATAL_ERROR "Could not find cuda.h. Ensure CUDA_HOME is set or install cuda-crt-dev.")
+endif()
+
+if(NOT CUDA_DRIVER_LIBRARY)
+    message(FATAL_ERROR "Could not find libcuda. Ensure the NVIDIA driver is installed.")
+endif()
+
+add_executable(bench_pointer_attributes_cpp bench_pointer_attributes.cpp)
+target_include_directories(bench_pointer_attributes_cpp PRIVATE "${CUDA_DRIVER_INCLUDE_DIR}")
+target_link_libraries(bench_pointer_attributes_cpp PRIVATE "${CUDA_DRIVER_LIBRARY}")
diff --git a/cuda_bindings/benchmarks/cpp/bench_support.hpp b/cuda_bindings/benchmarks/cpp/bench_support.hpp
new file mode 100644
index 0000000000..c442e96932
--- /dev/null
+++ b/cuda_bindings/benchmarks/cpp/bench_support.hpp
@@ -0,0 +1,218 @@
+// SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+//
+// SPDX-License-Identifier: Apache-2.0
+
+#pragma once
+
+#include <chrono>
+#include <cmath>
+#include <cstdint>
+#include <cstdlib>
+#include <ctime>
+#include <fstream>
+#include <iomanip>
+#include <iostream>
+#include <string>
+#include <vector>
+
+namespace bench {
+
+struct Options {
+    std::uint64_t loops = 1000;
+    std::uint64_t warmups = 5;
+    std::uint64_t values = 20;
+    std::uint64_t runs = 20;
+    std::string output_path;
+    std::string benchmark_name;
+};
+
+// A single run result: warmup values and timed values (seconds per loop)
+struct RunResult {
+    std::string date;
+    double duration_sec;
+    std::vector<double> warmup_values;  // seconds per loop
+    std::vector<double> values;         // seconds per loop
+};
+
+inline Options parse_args(int argc, char** argv) {
+    Options options;
+    for (int i = 1; i < argc; ++i) {
+        const std::string arg(argv[i]);
+        if (arg == "--loops" && i + 1 < argc) {
+            options.loops = std::strtoull(argv[++i], nullptr, 10);
+            continue;
+        }
+        if (arg == "--warmups" && i + 1 < argc) {
+            options.warmups = std::strtoull(argv[++i], nullptr, 10);
+            continue;
+        }
+        if (arg == "--values" && i + 1 < argc) {
+            options.values = std::strtoull(argv[++i], nullptr, 10);
+            continue;
+        }
+        if (arg == "--runs" && i + 1 < argc) {
+            options.runs = std::strtoull(argv[++i], nullptr, 10);
+            continue;
+        }
+        if ((arg == "-o" || arg == "--output") && i + 1 < argc) {
+            options.output_path = argv[++i];
+            continue;
+        }
+        if (arg == "--name" && i + 1 < argc) {
+            options.benchmark_name = argv[++i];
+            continue;
+        }
+        if (arg == "--help" || arg == "-h") {
+            std::cout << "Usage: benchmark [options]\n"
+                      << "  --loops N       Loop iterations per value (default: 1000)\n"
+                      << "  --warmups N     Warmup values per run (default: 5)\n"
+                      << "  --values N      Timed values per run (default: 20)\n"
+                      << "  --runs N        Number of runs (default: 20)\n"
+                      << "  -o, --output F  Write pyperf-compatible JSON to file\n"
+                      << "  --name S        Benchmark name (overrides default)\n";
+            std::exit(0);
+        }
+
+        std::cerr << "Unknown argument: " << arg << '\n';
+        std::exit(2);
+    }
+    return options;
+}
+
+inline std::string iso_now() {
+    const auto now = std::chrono::system_clock::now();
+    const std::time_t t = std::chrono::system_clock::to_time_t(now);
+    std::tm tm{};
+    gmtime_r(&t, &tm);
+    char buf[64];
+    std::strftime(buf, sizeof(buf), "%Y-%m-%d %H:%M:%S", &tm);
+    return std::string(buf);
+}
+
+// Run a benchmark function. The function signature is: void fn() — one call = one operation.
+// The harness calls fn() in a tight loop `loops` times per value.
+template <typename Fn>
+std::vector<RunResult> run_benchmark(const Options& options, Fn&& fn) {
+    std::vector<RunResult> results;
+    results.reserve(options.runs);
+
+    for (std::uint64_t r = 0; r < options.runs; ++r) {
+        RunResult run;
+        run.date = iso_now();
+        const auto run_start = std::chrono::steady_clock::now();
+
+        // Warmups
+        for (std::uint64_t w = 0; w < options.warmups; ++w) {
+            const auto t0 = std::chrono::steady_clock::now();
+            for (std::uint64_t i = 0; i < options.loops; ++i) {
+                fn();
+            }
+            const auto t1 = std::chrono::steady_clock::now();
+            const double elapsed = std::chrono::duration<double>(t1 - t0).count();
+            run.warmup_values.push_back(elapsed / static_cast<double>(options.loops));
+        }
+
+        // Timed values
+        for (std::uint64_t v = 0; v < options.values; ++v) {
+            const auto t0 = std::chrono::steady_clock::now();
+            for (std::uint64_t i = 0; i < options.loops; ++i) {
+                fn();
+            }
+            const auto t1 = std::chrono::steady_clock::now();
+            const double elapsed = std::chrono::duration<double>(t1 - t0).count();
+            run.values.push_back(elapsed / static_cast<double>(options.loops));
+        }
+
+        const auto run_end = std::chrono::steady_clock::now();
+        run.duration_sec = std::chrono::duration<double>(run_end - run_start).count();
+        results.push_back(std::move(run));
+    }
+
+    return results;
+}
+
+inline void print_summary(const std::string& name, const std::vector<RunResult>& results) {
+    // Collect all timed values
+    std::vector<double> all_values;
+    for (const auto& run : results) {
+        for (double v : run.values) {
+            all_values.push_back(v);
+        }
+    }
+    if (all_values.empty()) return;
+
+    double sum = 0;
+    for (double v : all_values) sum += v;
+    double mean = sum / static_cast<double>(all_values.size());
+
+    double sq_sum = 0;
+    for (double v : all_values) {
+        double diff = v - mean;
+        sq_sum += diff * diff;
+    }
+    double stdev = std::sqrt(sq_sum / static_cast<double>(all_values.size()));
+
+    std::cout << name << ": Mean +- std dev: "
+              << std::fixed << std::setprecision(0)
+              << (mean * 1e9) << " ns +- "
+              << (stdev * 1e9) << " ns\n";
+}
+
+// Escape a JSON string (minimal — no control chars expected)
+inline std::string json_str(const std::string& s) {
+    return "\"" + s + "\"";
+}
+
+inline void write_pyperf_json(
+    const std::string& output_path,
+    const std::string& name,
+    std::uint64_t loops,
+    const std::vector<RunResult>& results
+) {
+    std::ofstream out(output_path);
+    if (!out) {
+        std::cerr << "Failed to open output file: " << output_path << '\n';
+        std::exit(3);
+    }
+
+    out << std::setprecision(17);
+
+    out << "{\"version\": \"1.0\", ";
+    out << "\"metadata\": {";
+    out << "\"name\": " << json_str(name) << ", ";
+    out << "\"loops\": " << loops << ", ";
+    out << "\"unit\": \"second\"";
+    out << "}, ";
+
+    out << "\"benchmarks\": [{\"runs\": [";
+
+    for (std::size_t r = 0; r < results.size(); ++r) {
+        const auto& run = results[r];
+        if (r > 0) out << ", ";
+
+        out << "{\"metadata\": {";
+        out << "\"date\": " << json_str(run.date) << ", ";
+        out << "\"duration\": " << run.duration_sec;
+        out << "}, ";
+
+        // Warmups: array of [loops, value] pairs
+        out << "\"warmups\": [";
+        for (std::size_t w = 0; w < run.warmup_values.size(); ++w) {
+            if (w > 0) out << ", ";
+            out << "[" << loops << ", " << run.warmup_values[w] << "]";
+        }
+        out << "], ";
+
+        // Values
+        out << "\"values\": [";
+        for (std::size_t v = 0; v < run.values.size(); ++v) {
+            if (v > 0) out << ", ";
+            out << run.values[v];
+        }
+        out << "]}";
+    }
+
+    out << "]}]}\n";
+}
+
+}  // namespace bench
diff --git a/cuda_bindings/benchmarks/pixi.lock b/cuda_bindings/benchmarks/pixi.lock
new file mode 100644
index 0000000000..3ea5e69f98
--- /dev/null
+++ b/cuda_bindings/benchmarks/pixi.lock
@@ -0,0 +1,1357 @@
+version: 6
+environments:
+  default:
+    channels:
+    - url: https://conda.anaconda.org/conda-forge/
+    options:
+      channel-priority: disabled
+      pypi-prerelease-mode: if-necessary-or-explicit
+    packages: {}
+  source:
+    channels:
+    - url: https://conda.anaconda.org/conda-forge/
+    options:
+      channel-priority: disabled
+      pypi-prerelease-mode: if-necessary-or-explicit
+    packages:
+      linux-64:
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.2-h39aace5_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils-2.45.1-default_h4852527_101.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.45.1-default_hfdba357_101.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.45.1-default_h4852527_101.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.6-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-compiler-1.11.0-h4d9bdce_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.2.25-hbd8a1cb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cmake-4.2.3-hc85cc9f_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/conda-gcc-specs-14.3.0-he8ccf15_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-64-13.1.115-ha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-64-13.1.115-ha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-13.1.80-hecca717_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-dev-13.1.80-hecca717_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_linux-64-13.1.80-h376f20c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-static-13.1.80-hecca717_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-static_linux-64-13.1.80-h376f20c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_linux-64-13.1.80-h376f20c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-driver-dev_linux-64-13.1.80-h376f20c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvrtc-13.1.115-hecca717_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-13.1.115-h69a702a_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-64-13.1.115-ha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-impl-13.1.115-h4bc722e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-tools-13.1.115-h4bc722e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-pathfinder-1.4.0-pyhc364b38_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-13.1-h2ff5cdb_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cxx-compiler-1.11.0-hfcd1e18_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc-14.3.0-h0dff253_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-14.3.0-hbdf3cc3_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc_linux-64-14.3.0-h298d278_21.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx-14.3.0-h76987e4_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-14.3.0-h2185e75_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx_linux-64-14.3.0-he467f4b_21.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-78.2-h33c6efd_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-4.18.0-he073ed8_9.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.3-hb9d3cd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.22.2-ha1258a1_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45.1-default_hbd61a6d_101.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-5_h4a7cf45_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcap-2.77-h3ff7636_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-5_h0358290_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcufile-1.16.1.26-hd07211c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.18.0-hcf29cc6_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20250104-pl5321h7949ede_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.4-hecca717_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.5.2-h3435931_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-64-14.3.0-hf649bbc_118.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.2.0-h69a702a_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-15.2.0-h68bc16d_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-5_h47877c9_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.2-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.67.0-had1ee68_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libnl-3.11.0-hb9d3cd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libnvfatbin-13.1.115-hecca717_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libnvjitlink-13.1.115-hecca717_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.30-pthreads_h94d23a6_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsanitizer-14.3.0-h8f1669f_18.conda
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+  - python
+  license: Apache-2.0
+  license_family: APACHE
+  size: 72010
+  timestamp: 1769093650580
+- conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhf9edf01_1.conda
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+  - python
+  license: MIT
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+- conda: https://conda.anaconda.org/conda-forge/noarch/py-cpuinfo-9.0.0-pyhd8ed1ab_1.conda
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+  - python >=3.9
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+  license_family: MIT
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+  timestamp: 1733236452235
+- conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
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+  - python >=3.9
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/pyperf-2.9.0-py314hdafbbf9_0.conda
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+  - six
+  license: MIT
+  license_family: MIT
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+  timestamp: 1765980972868
+- conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.0.2-pyhcf101f3_0.conda
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+  - colorama >=0.4
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+  - python
+  constrains:
+  - pytest-faulthandler >=2
+  license: MIT
+  license_family: MIT
+  size: 299581
+  timestamp: 1765062031645
+- conda: https://conda.anaconda.org/conda-forge/noarch/pytest-benchmark-5.2.3-pyhd8ed1ab_0.conda
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+  - pytest >=8.1
+  - python >=3.10
+  license: BSD-2-Clause
+  license_family: BSD
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.14.3-h32b2ec7_101_cp314.conda
+  build_number: 101
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+  - libexpat >=2.7.3,<3.0a0
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+  - ncurses >=6.5,<7.0a0
+  - openssl >=3.5.5,<4.0a0
+  - python_abi 3.14.* *_cp314
+  - readline >=8.3,<9.0a0
+  - tk >=8.6.13,<8.7.0a0
+  - tzdata
+  - zstd >=1.5.7,<1.6.0a0
+  license: Python-2.0
+  size: 36702440
+  timestamp: 1770675584356
+  python_site_packages_path: lib/python3.14/site-packages
+- conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
+  build_number: 8
+  sha256: ad6d2e9ac39751cc0529dd1566a26751a0bf2542adb0c232533d32e176e21db5
+  md5: 0539938c55b6b1a59b560e843ad864a4
+  constrains:
+  - python 3.14.* *_cp314
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 6989
+  timestamp: 1752805904792
+- conda: https://conda.anaconda.org/conda-forge/linux-64/rdma-core-61.0-h192683f_0.conda
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+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=14
+  - libnl >=3.11.0,<4.0a0
+  - libstdcxx >=14
+  - libsystemd0 >=257.10
+  - libudev1 >=257.10
+  license: Linux-OpenIB
+  license_family: BSD
+  size: 1268666
+  timestamp: 1769154883613
+- conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda
+  sha256: 12ffde5a6f958e285aa22c191ca01bbd3d6e710aa852e00618fa6ddc59149002
+  md5: d7d95fc8287ea7bf33e0e7116d2b95ec
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=14
+  - ncurses >=6.5,<7.0a0
+  license: GPL-3.0-only
+  license_family: GPL
+  size: 345073
+  timestamp: 1765813471974
+- conda: https://conda.anaconda.org/conda-forge/linux-64/rhash-1.4.6-hb9d3cd8_1.conda
+  sha256: d5c73079c1dd2c2a313c3bfd81c73dbd066b7eb08d213778c8bff520091ae894
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+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
+  license: MIT
+  license_family: MIT
+  size: 193775
+  timestamp: 1748644872902
+- conda: https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhe01879c_1.conda
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+  depends:
+  - python >=3.9
+  - python
+  license: MIT
+  license_family: MIT
+  size: 18455
+  timestamp: 1753199211006
+- conda: https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-64-2.28-h4ee821c_9.conda
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+  depends:
+  - __glibc >=2.28
+  - kernel-headers_linux-64 4.18.0 he073ed8_9
+  - tzdata
+  license: LGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later
+  license_family: GPL
+  size: 24008591
+  timestamp: 1765578833462
+- conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h366c992_103.conda
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+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=14
+  - libzlib >=1.3.1,<2.0a0
+  constrains:
+  - xorg-libx11 >=1.8.12,<2.0a0
+  license: TCL
+  license_family: BSD
+  size: 3301196
+  timestamp: 1769460227866
+- conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.0-pyhcf101f3_0.conda
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+  md5: 72e780e9aa2d0a3295f59b1874e3768b
+  depends:
+  - python >=3.10
+  - python
+  license: MIT
+  license_family: MIT
+  size: 21453
+  timestamp: 1768146676791
+- conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
+  sha256: 032271135bca55aeb156cee361c81350c6f3fb203f57d024d7e5a1fc9ef18731
+  md5: 0caa1af407ecff61170c9437a808404d
+  depends:
+  - python >=3.10
+  - python
+  license: PSF-2.0
+  license_family: PSF
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+  timestamp: 1756220668932
+- conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda
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+  md5: ad659d0a2b3e47e38d829aa8cad2d610
+  license: LicenseRef-Public-Domain
+  size: 119135
+  timestamp: 1767016325805
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda
+  sha256: 68f0206ca6e98fea941e5717cec780ed2873ffabc0e1ed34428c061e2c6268c7
+  md5: 4a13eeac0b5c8e5b8ab496e6c4ddd829
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libzlib >=1.3.1,<2.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 601375
+  timestamp: 1764777111296
diff --git a/cuda_bindings/benchmarks/pixi.toml b/cuda_bindings/benchmarks/pixi.toml
new file mode 100644
index 0000000000..d768e7d349
--- /dev/null
+++ b/cuda_bindings/benchmarks/pixi.toml
@@ -0,0 +1,70 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+#
+# SPDX-License-Identifier: Apache-2.0
+
+[workspace]
+channels = ["conda-forge"]
+platforms = ["linux-64"]
+preview = ["pixi-build"]
+channel-priority = "disabled"
+
+[feature.cu13.system-requirements]
+cuda = "13"
+
+[feature.cu13.dependencies]
+cuda-version = "13.1.*"
+
+[feature.bench.dependencies]
+python = "3.14.*"
+pyperf = "*"
+pytest = "*"
+pytest-benchmark = "*"
+numpy = "*"
+
+[feature.cpp-bench.dependencies]
+cmake = "*"
+ninja = "*"
+cxx-compiler = "*"
+cuda-cudart-dev = "*"
+
+[feature.cpp-bench.target.linux-64.dependencies]
+cuda-crt-dev_linux-64 = "*"
+cuda-driver-dev_linux-64 = "*"
+
+[feature.cpp-bench.target.linux-64.activation.env]
+CUDA_HOME = "$CONDA_PREFIX/targets/x86_64-linux"
+
+[feature.bindings-wheel.dependencies]
+cuda-bindings = "==13.1.0"
+
+[feature.bindings-source.dependencies]
+cuda-bindings = { path = ".." }
+
+[environments]
+wheel = { features = ["cu13", "bench", "cpp-bench", "bindings-wheel"] }
+source = { features = ["cu13", "bench", "cpp-bench", "bindings-source"] }
+
+[target.linux.tasks.bench]
+cmd = ["python", "$PIXI_PROJECT_ROOT/run_pyperf.py"]
+
+[target.linux.tasks.bench-legacy]
+cmd = "pytest --benchmark-only --override-ini 'addopts=' $PIXI_PROJECT_ROOT/pytest-legacy/"
+
+[target.linux.tasks.bench-cpp-configure]
+cmd = [
+    "cmake",
+    "-S",
+    "$PIXI_PROJECT_ROOT/cpp",
+    "-B",
+    "$PIXI_PROJECT_ROOT/.build/cpp",
+    "-G",
+    "Ninja",
+]
+
+[target.linux.tasks.bench-cpp-build]
+cmd = ["cmake", "--build", "$PIXI_PROJECT_ROOT/.build/cpp"]
+depends-on = [{ task = "bench-cpp-configure" }]
+
+[target.linux.tasks.bench-cpp]
+cmd = ["$PIXI_PROJECT_ROOT/.build/cpp/bench_pointer_attributes_cpp"]
+depends-on = [{ task = "bench-cpp-build" }]
diff --git a/cuda_bindings/benchmarks/conftest.py b/cuda_bindings/benchmarks/pytest-legacy/conftest.py
similarity index 100%
rename from cuda_bindings/benchmarks/conftest.py
rename to cuda_bindings/benchmarks/pytest-legacy/conftest.py
diff --git a/cuda_bindings/benchmarks/kernels.py b/cuda_bindings/benchmarks/pytest-legacy/kernels.py
similarity index 100%
rename from cuda_bindings/benchmarks/kernels.py
rename to cuda_bindings/benchmarks/pytest-legacy/kernels.py
diff --git a/cuda_bindings/benchmarks/test_cupy.py b/cuda_bindings/benchmarks/pytest-legacy/test_cupy.py
similarity index 100%
rename from cuda_bindings/benchmarks/test_cupy.py
rename to cuda_bindings/benchmarks/pytest-legacy/test_cupy.py
diff --git a/cuda_bindings/benchmarks/test_launch_latency.py b/cuda_bindings/benchmarks/pytest-legacy/test_launch_latency.py
similarity index 100%
rename from cuda_bindings/benchmarks/test_launch_latency.py
rename to cuda_bindings/benchmarks/pytest-legacy/test_launch_latency.py
diff --git a/cuda_bindings/benchmarks/test_numba.py b/cuda_bindings/benchmarks/pytest-legacy/test_numba.py
similarity index 100%
rename from cuda_bindings/benchmarks/test_numba.py
rename to cuda_bindings/benchmarks/pytest-legacy/test_numba.py
diff --git a/cuda_bindings/benchmarks/test_pointer_attributes.py b/cuda_bindings/benchmarks/pytest-legacy/test_pointer_attributes.py
similarity index 100%
rename from cuda_bindings/benchmarks/test_pointer_attributes.py
rename to cuda_bindings/benchmarks/pytest-legacy/test_pointer_attributes.py
diff --git a/cuda_bindings/benchmarks/run_pyperf.py b/cuda_bindings/benchmarks/run_pyperf.py
new file mode 100644
index 0000000000..ff2355d861
--- /dev/null
+++ b/cuda_bindings/benchmarks/run_pyperf.py
@@ -0,0 +1,9 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+#
+# SPDX-License-Identifier: Apache-2.0
+
+from runner.main import main
+
+
+if __name__ == "__main__":
+    main()
diff --git a/cuda_bindings/benchmarks/runner/__init__.py b/cuda_bindings/benchmarks/runner/__init__.py
new file mode 100644
index 0000000000..27422b3cb7
--- /dev/null
+++ b/cuda_bindings/benchmarks/runner/__init__.py
@@ -0,0 +1,3 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+#
+# SPDX-License-Identifier: Apache-2.0
diff --git a/cuda_bindings/benchmarks/runner/main.py b/cuda_bindings/benchmarks/runner/main.py
new file mode 100644
index 0000000000..a505d64687
--- /dev/null
+++ b/cuda_bindings/benchmarks/runner/main.py
@@ -0,0 +1,113 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+#
+# SPDX-License-Identifier: Apache-2.0
+
+import argparse
+import importlib.util
+import inspect
+import sys
+import time
+from collections.abc import Callable
+from pathlib import Path
+from types import ModuleType
+
+import pyperf
+
+
+BENCH_DIR = Path(__file__).resolve().parent.parent
+
+
+def load_module(module_path: Path) -> ModuleType:
+    module_name = f"cuda_bindings_bench_{module_path.stem}"
+    spec = importlib.util.spec_from_file_location(module_name, module_path)
+    if spec is None or spec.loader is None:
+        raise RuntimeError(f"Failed to load benchmark module: {module_path}")
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+    return module
+
+
+def benchmark_id(module_name: str, function_name: str) -> str:
+    module_suffix = module_name.removeprefix("bench_")
+    suffix = function_name.removeprefix("bench_")
+    return f"bindings.{module_suffix}.{suffix}"
+
+
+def make_time_func(fn: Callable[[], None]) -> Callable[[int], float]:
+    """Wrap a bench_ function into a pyperf bench_time_func compatible callable."""
+
+    def time_func(loops: int) -> float:
+        t0 = time.perf_counter()
+        for _ in range(loops):
+            fn()
+        return time.perf_counter() - t0
+
+    return time_func
+
+
+def discover_benchmarks() -> dict[str, Callable[[], None]]:
+    registry: dict[str, Callable[[], None]] = {}
+    for module_path in sorted(BENCH_DIR.glob("bench_*.py")):
+        module = load_module(module_path)
+        module_name = module_path.stem
+        for function_name, function in inspect.getmembers(module, inspect.isfunction):
+            if not function_name.startswith("bench_"):
+                continue
+            if function.__module__ != module.__name__:
+                continue
+            benchmark = benchmark_id(module_name, function_name)
+            if benchmark_id in registry:
+                raise ValueError(f"Duplicate benchmark ID discovered: {benchmark_id}")
+            registry[benchmark] = function
+    return registry
+
+
+def parse_args(argv: list[str]) -> tuple[argparse.Namespace, list[str]]:
+    parser = argparse.ArgumentParser(add_help=False)
+    parser.add_argument(
+        "--benchmark",
+        action="append",
+        default=[],
+        help="Benchmark ID to run. Repeat to run multiple IDs. Defaults to all.",
+    )
+    parser.add_argument(
+        "--list",
+        action="store_true",
+        help="Print discovered benchmark IDs and exit.",
+    )
+    parsed, remaining = parser.parse_known_args(argv)
+    return parsed, remaining
+
+
+def main() -> None:
+    parsed, remaining_argv = parse_args(sys.argv[1:])
+    sys.argv = [sys.argv[0], *remaining_argv]
+
+    registry = discover_benchmarks()
+    if not registry:
+        raise RuntimeError(f"No benchmark functions found in {BENCH_DIR}")
+
+    if parsed.list:
+        for benchmark_id in sorted(registry):
+            print(benchmark_id)
+        return
+
+    if parsed.benchmark:
+        missing = sorted(set(parsed.benchmark) - set(registry))
+        if missing:
+            known = ", ".join(sorted(registry))
+            unknown = ", ".join(missing)
+            raise ValueError(
+                f"Unknown benchmark(s): {unknown}. Known benchmarks: {known}"
+            )
+        benchmark_ids = parsed.benchmark
+    else:
+        benchmark_ids = sorted(registry)
+
+    runner = pyperf.Runner()
+    for benchmark_id in benchmark_ids:
+        runner.bench_time_func(benchmark_id, make_time_func(registry[benchmark_id]))
+
+
+if __name__ == "__main__":
+    main()
diff --git a/cuda_bindings/benchmarks/runner/runtime.py b/cuda_bindings/benchmarks/runner/runtime.py
new file mode 100644
index 0000000000..d7b6a7bf86
--- /dev/null
+++ b/cuda_bindings/benchmarks/runner/runtime.py
@@ -0,0 +1,57 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+#
+# SPDX-License-Identifier: Apache-2.0
+
+import atexit
+
+from cuda.bindings import driver as cuda
+
+_ctx = None
+_persistent_ptrs: list[int] = []
+
+
+def assert_drv(err) -> None:
+    if err != cuda.CUresult.CUDA_SUCCESS:
+        raise RuntimeError(f"Cuda Error: {err}")
+
+
+def ensure_context() -> int:
+    global _ctx
+    if _ctx is not None:
+        return _ctx
+
+    (err,) = cuda.cuInit(0)
+    assert_drv(err)
+
+    err, device = cuda.cuDeviceGet(0)
+    assert_drv(err)
+
+    err, ctx = cuda.cuCtxCreate(None, 0, device)
+    assert_drv(err)
+    _ctx = ctx
+    return ctx
+
+
+def alloc_persistent(size: int) -> int:
+    ensure_context()
+    err, ptr = cuda.cuMemAlloc(size)
+    assert_drv(err)
+    _persistent_ptrs.append(ptr)
+    return ptr
+
+
+def cleanup() -> None:
+    global _ctx
+    for ptr in reversed(_persistent_ptrs):
+        (err,) = cuda.cuMemFree(ptr)
+        assert_drv(err)
+    _persistent_ptrs.clear()
+
+    if _ctx is None:
+        return
+    (err,) = cuda.cuCtxDestroy(_ctx)
+    assert_drv(err)
+    _ctx = None
+
+
+atexit.register(cleanup)