Amazon AWS vs Wafer

Extensive network of data centers across multiple regions worldwide

Flexible pricing model with no upfront commitments required

Comprehensive security tools and compliance certifications

Automatically adjust resources based on demand

Extensive ecosystem of services that work seamlessly together

Comprehensive suite of tools for development, deployment, and management

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

Standard chat completions endpoint at pass.wafer.ai/v1 with Bearer token authentication

Cached input tokens are billed at reduced rates on supported models