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The fastest inference on any silicon

Wafer routes and optimizes open models across NVIDIA, AMD, TPUs, and beyond - AI tuning every layer of the stack for whatever silicon wins on price-performance.

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Powering trillions of tokens a month for the leading AI-native startups

Wafer Dedicated Capacity

Dedicated endpoints for mission-critical AI workloads

Get set up with the best performance for any custom model, with inference optimization tailored to your hardware, workloads, and production constraints, in less than 24 hours

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Low Latency

Experience lightning-fast, real-time responses tailored for voice agents, intelligent copilots, and interactive AI products

High Throughput

Scale coding agents, batch workloads, and parallel generations without bottlenecks

Reliability at Scale

Dedicated endpoints for production workloads that need predictable uptime and stable performance

Workload-Specific Optimization

Tune inference around your model, hardware, traffic patterns, and production constraints

Wafer Technology

Agents tune the fastest path
across the inference stack

Wafer profiles workloads, searches model, engine, kernel, and hardware combinations, then ships the measured winner

Explore Technology
Approvedby Benchmarks

Analysis of API providers across performance metrics including latency, output speed, price and others

Actual BenchmarksGet Started with Serverless
Fastest
API providers output speed
for GLM-5.1 (Reasoning)
  • 1Wafer
    152.1 t/s
  • 2FriendliAI
    138.3 t/s
  • 3Fireworks
    97.5 t/s
  • 4Together.ai
    68.6 t/s
  • 5CoreWeave
    56.6 t/s
Fastest
API providers output speed
for Qwen 3.5 397B-A17B
  • 1Wafer
    288.5 t/s
  • 2Nebius Fast
    276.7 t/s
  • 3Eigen AI
    267.6 t/s
  • 4Together.ai
    219.3 t/s
  • 5Nebius (Base, FP4)
    95.9 t/s
Wafer Serverless

Access the fastest Open LLMs

Serverless inference for top open models — no infrastructure, no deployment overhead, just fast APIs

Get Started with Serverless
  • GLM-5.2-Fast logo
    GLM-5.2-Fast

    GLM-5.2 fast tier — low-latency inference with a per-stream throughput SLA.

    Input$3.00
    Output$10.25
    Cache$0.50
    per M tokens
  • GLM-5.2 logo
    GLM-5.2

    Z.ai’s newest flagship with even stronger coding and reasoning capabilities.

    Input$1.20
    Output$4.10
    Cache$0.20
    per M tokens
  • GLM-5.1 logo
    GLM-5.1

    General Language Model 5.1 with strong coding and reasoning capabilities

    Input$1.00
    Output$3.20
    Cache$0.10
    per M tokens
and more