thustorage/GustANN
High-Throughput, Cost-Effective Billion-Scale Vector Search with a Single GPU [to appear in SIGMOD'26]
GustANN helps data scientists and machine learning engineers quickly find the most similar items (vectors) among billions of possibilities. You provide a dataset of numerical vectors and a query vector, and it efficiently returns the top 'k' most similar vectors, even with massive datasets that don't fit into GPU memory. This is ideal for applications requiring ultra-fast, large-scale similarity searches.
Use this if you need to perform high-throughput, billion-scale similarity searches on vector datasets with a single GPU, where the dataset is too large to fit entirely in GPU memory.
Not ideal if your datasets are small, you don't have access to high-end GPU and SSD hardware, or you require a ready-to-use solution without significant system-level setup.
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/thustorage/GustANN"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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