NVIDIA / NVIDIA/cuvs

[FEA] Vamana multi-GPUs sharding

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feature request
Dominant language
Cuda
Stars
854
Forks
236
Avg merge
3d 3h
Merged PRs (30d)
62

Description

This issue has no description.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue body names no files, tests, entry points, or acceptance criteria. Start by locating the Vamana implementation and any multi-GPU or sharding entry points, then clarify the intended API, partitioning behavior, validation, and definition of done with the maintainers.

Written by the indexing model from the issue text.

Assessment

Domain
distributed-systems, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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