Devpost
Participate in our public hackathons
Devpost for Teams
Access your company's private hackathons
Grow your developer ecosystem and promote your platform
Drive innovation, collaboration, and retention within your organization
By use case
Blog
Insights into hackathon planning and participation
Customer stories
Inspiration from peers and other industry leaders
Planning guides
Best practices for planning online and in-person hackathons
Webinars & events
Upcoming events and on-demand recordings
Help desk
Common questions and support documentation
Zero-leakage vector memory for enterprise AI
High-throughput vector memory with cryptographic tenant isolation powered by NVIDIA NIM and DBX.
A lightning-fast, per-tenant memory engine written in Go, combining reliable key-value storage with powerful HNSW vector indexing for next-gen apps
DBX is a high-performance vector database built in Go, featuring SIMD acceleration, zero-copy memory-mapped storage, and multi-tenant indexing for sub-millisecond similarity search in AI systems
DBX is a high-performance, multi-tenant vector database built in Go. Engineered with SIMD-accelerated search and memory-mapped persistence for ultra-low latency AI embeddings retrieval at scale.
