GPU-Native Infrastructure
Purpose-built systems for the AI age — from production embeddings to GPU-resident memory, sorting, and rate limiting. All running where your data lives.
Generally Available
Live today. Self-serve — sign up and ship.
LIVEForge
GPU-native vector embedding API built on a proprietary CUDA engine. Three quality tiers — Turbo, Pro, Ultra — with 87ms median latency and zero data retention.
Design Partner Program
Production-grade systems we co-develop with a small number of teams. Access is by design-partner engagement, not self-serve — you get direct founder access and a say in the roadmap. How the program works →
Featherweight Sync
Ultra-low-latency cross-device state synchronization. Local-first reads with real-time WebSocket push sync, backed by containerized Go brokers and Cloud Firestore.
Learn more → DESIGN PARTNERCoherence
Semantic memory for AI agents. Sub-millisecond vector search with perfect recall, running entirely on GPU.
Learn more → DESIGN PARTNERMASH
Adaptive GPU sorting that understands your data. Up to 9x faster than CUB on real workloads.
Learn more → DESIGN PARTNERART
Adaptive rate limiting with zero CPU overhead. Millions of decisions per second, entirely on GPU.
Learn more → DESIGN PARTNERARC
GPU-resident vector cache. Keep hot embeddings where compute happens, eliminate PCIe bottlenecks.
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