Wafer Pass.

Wafer Pass

Wafer Pass is a high-performance AI inference platform designed to deliver the fastest open-source large language models (LLMs) for enterprise workloads. It combines serverless pay-as-you-go APIs with dedicated endpoints for mission-critical applications, eliminating infrastructure overhead while optimizing for speed, cost efficiency, and reliability at scale.

Product Highlights

• Blazing Inference Speed: Achieves 152.1 tokens/second on GLM-5.1 (Reasoning) and 288.5 tokens/second on Qwen 3.5 397B-A17B — outpacing competitors like Fireworks, Together.ai, and CoreWeave by significant margins.
• Serverless Simplicity: Access top open models including GLM-5.1, Kimi-K2.6, and Qwen 3.5 with zero deployment overhead — just swap your base URL and API key for instant compatibility with OpenAI SDK, LangChain, LiteLLM, and popular agent frameworks.
• Intelligent Caching: Automatic server-side prompt caching reduces costs by up to 10× on repeated prefixes — ideal for multi-turn conversations, long system prompts, and document-heavy RAG pipelines without requiring manual configuration.
• Dedicated Endpoint Customization: Mission-critical workloads receive workload-specific optimization including custom GPU kernels, accelerator-specific profiling (AMD/NVIDIA), and continuous-batching scheduler tuning — deployed in under 24 hours with SLA-backed uptime and zero data retention options.
• Transparent, Competitive Pricing: Pay-as-you-go rates starting at $0.43 per million input tokens (Qwen 3.5) with separate cache pricing as low as $0.04 per million tokens — no hidden infrastructure costs or long-term commitments.

Use Cases

• Real-Time Voice Agents and Copilots: Low-latency inference enables responsive conversational AI for customer service bots, voice assistants, and interactive productivity tools where every millisecond impacts user experience.
• High-Volume Coding and Reasoning Workloads: Optimized throughput supports coding agents, batch processing, and parallel generations — making it ideal for software development platforms, automated code review systems, and AI-powered IDEs.
• Compliance-Sensitive Enterprise AI: Dedicated endpoints with DPAs, SLA guarantees, and zero data retention options serve regulated industries including finance, healthcare, and legal where data privacy and predictable performance are non-negotiable.
• Cost-Efficient RAG and Document Processing: Automatic prompt caching dramatically reduces inference costs for retrieval-augmented generation systems processing large document corpora with repetitive context windows.

Target Audience

Wafer Pass is built for engineering teams, AI product managers, and CTOs at mid-to-large enterprises who need production-grade LLM infrastructure without managing complex deployments — particularly those prioritizing speed, cost optimization, and compliance in voice AI, coding automation, and document intelligence applications.