Google Cloud vs Wafer

Scalable virtual machines with a wide range of machine types, including GPUs.

Managed Kubernetes service for deploying and managing containerized applications.

Event-driven serverless compute platform.

Fully managed serverless platform for containerized applications.

Unified ML platform for building, deploying, and managing ML models.

Spare compute capacity at discounted Spot prices, suitable for fault-tolerant workloads that can be interrupted.

Pay-as-you-go API access to hosted open-source models including GLM, Kimi, Qwen, and DeepSeek with no infrastructure management

Custom-tuned inference deployments with performance guarantees, provisioned in under 24 hours

Agents profile inference bottlenecks and tune across serving engines (vLLM, SGLang, TensorRT-LLM), custom kernels (CUDA, HIP, Triton, NKI), quantization (FP8/FP4), and decode strategies

Workloads run on NVIDIA B200/B300, AMD MI350X/MI355X, and AWS Trainium depending on the model and traffic shape

OpenAI-compatible endpoint at pass.wafer.ai/v1 and Anthropic-compatible endpoint at pass.wafer.ai/v1/messages, both using Bearer token authentication

Cached input tokens are billed at reduced rates on supported models