What is Wafer AI?
Wafer AI is an enterprise-grade platform that delivers the fastest open-source LLMs for production use. It powers leading AI startups with trillions of tokens per month through serverless inference, eliminating infrastructure overhead and deployment complexity. The platform offers fast APIs for top open models, including the newly announced GLM-5.2, developed in collaboration with Vercel AI Gateway and OpenRouter. GLM-5.2 features a fast tier with low-latency inference and a per-stream throughput SLA, boasting enhanced coding and reasoning capabilities. Additionally, Wafer supports GLM-5.1, which also excels in coding and reasoning tasks.
Wafer Technology profiles workloads by searching across models, engines, kernels, and hardware combinations to identify the optimal configuration. It analyzes API providers based on metrics like latency, output speed, and pricing, ensuring users achieve the best performance. For custom models, Wafer provides inference optimization tailored to specific hardware, workloads, and production constraints, with setup completed in under 24 hours.
Key benefits include lightning-fast real-time responses ideal for voice agents, intelligent copilots, and interactive AI products. It scales coding agents, batch workloads, and parallel generations without bottlenecks. Dedicated endpoints offer predictable uptime and stable performance for production workloads. Users can tune inference around their model, hardware, traffic patterns, and constraints.
Use cases span from powering conversational AI and coding assistants to handling large-scale batch processing. Technical details include serverless architecture, support for multiple open models, and advanced profiling for optimal performance. Wafer AI is designed for enterprises seeking high-speed, reliable LLM inference without the burden of managing infrastructure.
Use Cases
Key Features
serverless inference low latency APIs open source LLMs model optimization hardware configuration throughput SLA coding capabilities reasoning tasks fast deployment cost analysisWho is it for?
AI startups, enterprise teams, voice agent developers, copilot builders, platform engineers, ML engineers, product teams
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