{"repo":"singhpratech/duckdbgpumetaldbram","free":true,"listed":false,"github":"https://github.com/singhpratech/duckdbgpumetaldbram","clone":"git clone https://github.com/singhpratech/duckdbgpumetaldbram.git","description":"GPU-accelerated DuckDB extension on NVIDIA CUDA + Apple Silicon Metal — first SQL execution engine for Apple Silicon GPUs","language":"C++","stars":12,"topics":["apple-silicon","cuda","database","duckdb","gpgpu","gpu","hpc","metal","sql"],"license":null,"category":"databases-storage","readme_excerpt":"gpudb — GPU-accelerated DuckDB on Apple Silicon Metal + NVIDIA CUDA The first SQL execution engine for Apple Silicon GPUs , built as a DuckDB extension that also runs on NVIDIA CUDA. One codebase, two backends, your existing DuckDB queries. Now an official DuckDB Community Extension — install it straight from any DuckDB ≥ 1.5.5, no flags, no downloads: Apache-2.0 · v0.4.0 · Linux + macOS · DuckDB ≥ 1.2 --- What you'd use it for gpudb is for workloads that ask the same aggregate questions of the same big data, over and over . Upload a column to GPU memory once; every query after runs at memory-bandwidth speed with zero transfer. - 📊 Dashboards & monitoring — a metrics dashboard re-runs SUM s every few seconds. Resident columns turn a 99 ms scan into 10 ms (measured, 600M rows). Refresh every 5 s and the one-time upload pays for itself inside 10 minutes — then every refresh is 4–25× cheaper, forever. - 🔬 Notebook exploration — an analyst slicing data re-aggregates on every idea. Upload at the top of the notebook; the whole session runs GPU-speed. On a Mac this is capability that exists nowhere else: no other SQL engine uses the Apple Silicon GPU. - ⚡ Serving APIs — endpoints answering \"total X for Y\" thousands of times a day. The resident column is a cache that never goes stale-wrong: exact answers, 5–25× lower latency, re-upload in seconds when data refreshes. - 💰 DECIMAL/financial data — money columns are stored DECIMAL, and native DuckDB re-casts every value on every scan","default_branch":null,"files":null,"tree":[],"storefront":"/r/singhpratech","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/singhpratech/duckdbgpumetaldbram/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}