Case study
Case study
Case study




Evergrove LabsLinzumi
+ more
Wafer Serverless
Access the fastest Open LLMs
Serverless inference for top open models — no infrastructure, no deployment overhead, just fast APIs

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
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
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
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
Fastest
API providers output speed
for GLM-5.1 (Reasoning)
1Wafer
152.1 t/s2FriendliAI
138.3 t/s3Fireworks
97.5 t/s4Together.ai
68.6 t/s5CoreWeave
56.6 t/s
Fastest
API providers output speed
for Qwen 3.5 397B-A17B
1Wafer
288.5 t/s2Nebius Fast
276.7 t/s3Eigen AI
267.6 t/s4Together.ai
219.3 t/s5Nebius (Base, FP4)
95.9 t/s
Wafer for Sensitive Workloads
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
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