CoreWeave vs Wafer

Purpose-built AI-native platform with Kubernetes-native developer experience

First-to-market access to the latest NVIDIA GPUs including H100, H200, and Blackwell architecture

Unified security, talent services, and observability platform for large-scale AI operations

High-performance clusters with InfiniBand networking for optimal scale-out connectivity

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