Activity from announced rounds
Wafer runs AI inference infrastructure that adapts a model-serving stack to each customer's workload. It benchmarks and tunes models, engines, kernels and available hardware together, then keeps optimizing live serving for latency, reliability and cost as traffic changes.
Builds generative AI creative tools for music, gaming and entertainment professionals
Builds infrastructure for training and serving personally trainable AI agents
Helps platform teams and cloud providers modernize and manage infrastructure for the AI era
Builds general-purpose world models that simulate physical reality for robotics, gaming, and autonomous systems
Provides AMD-powered AI cloud infrastructure for high-performance workloads
Optimizes AI inference costs for enterprises via KV caching to eliminate redundant GPU computation
Building advanced personalized intelligence and next-generation hardware for humans and machines
Develops self-improving AI systems that autonomously enhance their own architecture and training algorithms
Builds industrial-grade AI engine for video generation