KvikIO - GPUDirect Storage
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Author: NVIDIA Corporation
Requires Python: >=3.11
Classifiers
Intended Audience
- Developers
Topic
- Database
- Scientific/Engineering
Programming Language
- Python
- Python :: 3.11
- Python :: 3.12
- Python :: 3.13
- Python :: 3.14
KvikIO: High Performance File IO
Summary
KvikIO (pronounced "kuh-VICK-eye-oh", see here for pronunciation of kvik) is a Python and C++ library for high performance file IO. It provides C++ and Python bindings to cuFile, which enables GPUDirect Storage (GDS). KvikIO also works efficiently when GDS isn't available and can read/write both host and device data seamlessly.
Features
- Object oriented API of cuFile with C++/Python exception handling.
- A Python Zarr backend for reading and writing GPU data to file seamlessly.
- Concurrent reads and writes using an internal thread pool.
- Non-blocking API.
- Transparently handles reads and writes to/from memory on both host and device.
Documentation
Examples
Python
import cupy
import kvikio
def main(path):
a = cupy.arange(100)
f = kvikio.CuFile(path, "w")
# Write whole array to file
f.write(a)
f.close()
b = cupy.empty_like(a)
f = kvikio.CuFile(path, "r")
# Read whole array from file
f.read(b)
assert all(a == b)
f.close()
# Use contexmanager
c = cupy.empty_like(a)
with kvikio.CuFile(path, "r") as f:
f.read(c)
assert all(a == c)
# Non-blocking read
d = cupy.empty_like(a)
with kvikio.CuFile(path, "r") as f:
future1 = f.pread(d[:50])
future2 = f.pread(d[50:], file_offset=d[:50].nbytes)
# Note: must wait for futures before exiting block
# at which point the file is closed.
future1.get() # Wait for first read
future2.get() # Wait for second read
assert all(a == d)
if __name__ == "__main__":
main("/tmp/kvikio-hello-world-file")
C++
#include <cstddef>
#include <future>
#include <cuda_runtime.h>
#include <kvikio/file_handle.hpp>
int main()
{
// Create two arrays `a` and `b`
constexpr std::size_t size = 100;
void *a = nullptr;
void *b = nullptr;
cudaMalloc(&a, size);
cudaMalloc(&b, size);
// Write `a` to file
kvikio::FileHandle fw("test-file", "w");
std::size_t written = fw.write(a, size);
fw.close();
// Read file into `b`
kvikio::FileHandle fr("test-file", "r");
std::size_t read = fr.read(b, size);
fr.close();
// Read file into `b` in parallel using 16 threads
kvikio::default_thread_pool::reset(16);
{
// FileHandles have RAII semantics
kvikio::FileHandle f("test-file", "r");
std::future<std::size_t> future = f.pread(b_dev, sizeof(a), 0); // Non-blocking
std::size_t read = future.get(); // Blocking
// Notice, `f` closes automatically on destruction.
}
}
26.10.0
Oct 08, 2026
26.8.0
Aug 06, 2026
26.6.0
Jun 09, 2026
26.4.0
Apr 09, 2026
26.2.0
Feb 06, 2026
25.12.0
Dec 11, 2025
25.10.0
Oct 09, 2025
0.0.0a0
Apr 08, 2025
Wheel compatibility matrix
| Platform | CPython >=3.11 (abi3) |
|---|---|
| manylinux_2_24_aarch64 | |
| manylinux_2_24_x86_64 | |
| manylinux_2_28_aarch64 | |
| manylinux_2_28_x86_64 |
Files in release
Extras:
Dependencies:
cupy-cuda13x[ctk]
(!=14.1.0,>=14.0.1)
libkvikio-cu13
(==26.10.*)
numpy
(<3.0,>=2.0)
packaging