vLLM vs. Wafer Comparison


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About vLLM is a high-performance library designed to facilitate efficient inference and serving of Large Language Models (LLMs). Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry. It offers state-of-the-art serving throughput by efficiently managing attention key and value memory through its PagedAttention mechanism. It supports continuous batching of incoming requests and utilizes optimized CUDA kernels, including integration with FlashAttention and FlashInfer, to enhance model execution speed. Additionally, vLLM provides quantization support for GPTQ, AWQ, INT4, INT8, and FP8, as well as speculative decoding capabilities. Users benefit from seamless integration with popular Hugging Face models, support for various decoding algorithms such as parallel sampling and beam search, and compatibility with NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs, and more.	About Wafer delivers the fastest open source LLMs for enterprise through serverless and dedicated inference built for production AI workloads. Its serverless inference gives teams access to top open models with no infrastructure, no deployment overhead, and fast APIs, including GLM-5.2-Fast for low-latency inference with EAGLE speculative decoding and a per-stream throughput SLA, GLM-5.2 as a flagship model with stronger coding and reasoning capabilities, and more. Wafer’s technology uses agents that optimize inference across the stack, identifying and enhancing bottlenecks in orchestration, algorithms, serving engines, GPU kernels, and diverse hardware. It profiles the stack to see whether latency or throughput comes from scheduling, decoding, kernels, memory pressure, or hardware fit, then tries many paths and ships the measured winner. Instead of relying on a single switch or heuristic, Wafer searches model, engine, kernel, and hardware combinations.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience AI infrastructure engineers looking for a solution to optimize the deployment and serving of large-scale language models in production environments	Audience Enterprises and product teams that need faster, production-ready inference for open LLMs without managing the full optimization stack
Support Phone Support Not Supported 24/7 Live Support Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information vLLM United States vllm.ai	Company Information Wafer United States www.wafer.ai/
Alternatives DeepInfer DeepSeek	Alternatives Canopy Wave
LocalAI	Chutes
Ollama	Fireworks AI
Wafer	Cerebras
NVIDIA TensorRT NVIDIA View All	DeepInfer DeepSeek View All
Categories AI Inference Supported	Categories AI Inference Supported

Integrations omp Supported DeepSeek Not Supported Docker Supported DocsGPT Supported GLM-5.2 Not Supported GLM-5.3 Not Supported Hugging Face Supported KServe Supported Kubernetes Supported ModelLane Supported NGINX Supported Nemotron 3.5 Bolt Supported Nemotron 3.5 Super VL Supported OpenAI Supported OpenRouter Not Supported PyTorch Supported Qwen Not Supported Recursive Flint Supported Thunder Compute Supported Vercel AI Gateway Not Supported Show More Integrations View All 17 Integrations	Integrations omp Supported DeepSeek Supported Docker Not Supported DocsGPT Not Supported GLM-5.2 Supported GLM-5.3 Supported Hugging Face Not Supported KServe Not Supported Kubernetes Not Supported ModelLane Not Supported NGINX Not Supported Nemotron 3.5 Bolt Not Supported Nemotron 3.5 Super VL Not Supported OpenAI Not Supported OpenRouter Supported PyTorch Not Supported Qwen Supported Recursive Flint Not Supported Thunder Compute Not Supported Vercel AI Gateway Supported Show More Integrations View All 8 Integrations
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