Comments (1)
Hi @RicardoHS!
What were the reasons to do not include GPU support?
The simple and blunt answer is that we wanted this project to be installable as easily as possible. The Windows and macOS binaries for Voyager could fit on a floppy disk. Voyager currently has nearly zero dependencies (only numpy
in Python, and nothing in Java).
A common meme is that just installing CUDA drivers can take tens of gigabytes and hours of effort. Of course, adding GPU support has performance advantages; but in my (current) view, those advantages are not worth the huge amount of overhead that it would take (including compatibility issues across different hardware vendors, CUDA vs. ROCM vs. Metal support, etc).
Without GPU support, Voyager fills the gap between Annoy and much more feature-packed and performant vector search packages.
Would you be open to discuss a possible functionality addition to support it?
For sure! I think a voyager[gpu]
package would make sense; but creating that is very well outside of the scope of our current maintenance budget for this project.
from voyager.
Related Issues (20)
- Add StringIndex to Javadocs HOT 1
- Add StringIndex support in Python HOT 1
- Implement Order Preserving Transformation for InnerProduct Indices
- remove Jackson dependency, do JSON encoding manually
- Incorrect python typehint for `add_items` HOT 4
- Support proper updates in StringIndex HOT 3
- Missing ann-benchmarks documentation? HOT 4
- Metadata Filter Capability HOT 1
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- Fewer than expected results were retrieved during querying the index HOT 3
- Stream-based I/O examples/documentation HOT 2
- Corrupted or unsupported index after saving. HOT 3
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- Issue with index.add_items() when building large indexes? HOT 1
- Addition of license to PyPI Meta section HOT 1
- Expose python type hints to IDEs via .pyi files
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