Together AI vs Wafer

Access to Llama, DeepSeek, Qwen, and other leading open-source models

Pay-per-token API with OpenAI-compatible endpoints

LoRA and full fine-tuning with proprietary optimizations

Instant self-service or reserved dedicated clusters with H100, H200, B200, GB200, GB300 access

50% cost reduction for non-urgent inference workloads

Reserve dedicated capacity in throughput units (PTUs) with SLAs

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