PyTorch Memory Enterprise

GPU-accelerated semantic search. Sub-2ms. Every time.PyTorch Memory is vector search that runs on your GPU. Not a cloud service you pay monthly - infrastructure you own.Load once, search instantly, scale to millions of vectors.The Problem: Cloud vector databases mean latency, recurring costs, and your data on someone else's servers. Localalternatives are slow or complex to deploy.The Solution: PyTorch Memory runs on your hardware. RTX 3090? Sub-2ms search across 2,500+ vectors. Scales with yourGPU. Your data never leaves your machine.Performance:• Sub-2ms semantic search (GPU-dependent)• 847+ memories loaded in under 2 seconds• CPU fallback when GPU unavailable• Checkpoint system - no cold start penaltyWhat's Included:• Full source code• Docker configuration (CUDA-enabled)• MCP server • Python SDK with examples• 1 year updatesRequirements: Python 3.10+, PyTorch, CUDA-capable GPU (or CPU fallback)

Found on Devadex — the discovery index for independent software the big search engines bury. More from gumroad.

Report this listing