GPU-Native Infrastructure for Real-Time AI
We build the primitives that autonomous systems depend on: sorting, caching, rate limiting, and retrieval. Engineered for GPUs from the ground up.
GPU-accelerated semantic retrieval with guaranteed consistency. For AI agents and trading systems.
Up to 100x faster queries →Topology-aware sorting that exploits data structure. Up to 9x faster on real-world distributions.
See benchmarks →Move rate limiting to GPU. One device replaces dozens of Redis nodes. Microsecond decisions at scale.
Up to 95% less overhead →Predictable caching for RAG pipelines. Same query, same results, every time. Built for auditable AI.
Microsecond retrieval →MASH Sort benchmarked on NVIDIA Blackwell GB10. Speedup vs. standard GPU radix sort. Geometric mean across 100M–3B keys.
On presorted 1B-row workloads (the kind you see in HFT, logging, and time-series) MASH is ~9x faster. At 7B elements, standard radix sort crashes. MASH keeps running.
Read "Sorting on Blackwell" →Building systems where latency and consistency matter? We'd like to hear about your challenges.