Wafer

Provides inference infrastructure that routes and optimizes open language models (like Qwen, GLM, DeepSeek) across different silicon (NVIDIA, AMD, TPUs) to deliver fast, cost-efficient model serving. Sells to developers, engineering and IT teams at AI-native startups and enterprises running production AI workloads such as voice agents, copilots, and coding agents. Delivered as serverless APIs and dedicated capacity endpoints with workload-specific tuning across model, engine, kernel, and hardware layers.

Key features

• Routes open models across NVIDIA, AMD, TPUs
• Tunes model, engine, kernel, hardware combinations
• Serverless inference for open LLMs
• Dedicated endpoints for mission-critical workloads
• Workload-specific inference optimization
• Low latency for real-time responses
• High throughput for parallel generations
• Reliability at scale with predictable uptime
• Profiles workloads and ships measured winner