Wafer
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.
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SiliconFlow
SiliconFlow is a high-performance, developer-focused AI infrastructure platform offering a unified and scalable solution for running, fine-tuning, and deploying both language and multimodal models. It provides fast, reliable inference across open source and commercial models, thanks to blazing speed, low latency, and high throughput, with flexible options such as serverless endpoints, dedicated compute, or private cloud deployments. Platform capabilities include one-stop inference, fine-tuning pipelines, and reserved GPU access, all delivered via an OpenAI-compatible API and complete with built-in observability, monitoring, and cost-efficient smart scaling. For diffusion-based tasks, SiliconFlow offers the open source OneDiff acceleration library, while its BizyAir runtime supports scalable multimodal workloads. Designed for enterprise-grade stability, it includes features like BYOC (Bring Your Own Cloud), robust security, and real-time metrics.
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Chutes
Chutes is breakthrough serverless compute for AI, at scale: a leading open source, decentralized compute platform for deploying, scaling, and running open-source models in production. Built for hyperscaling AI-powered products, it gives developers high-performance AI inference for top state-of-the-art open source models, ephemeral jobs, batch processing jobs, and much more. Chutes works around the clock to provide the latest open-source models minutes after release, so when a new model lands, builders can get access to what is next first. There is a Chute for everything, not just the LLMs you would expect: Chutes runs image, video, speech, music, embeddings, content moderation, and custom model workloads, always on and ready to scale. With Chutes, teams bring the code and let the platform handle the rest, using fast APIs, the Chutes SDK, or one-click deployments to run serverless AI code without infrastructure setup.
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NanoGPT
NanoGPT is private pay-per-use AI for every workflow, giving users access to chat, image, video, audio, speech, and embedding models from one platform. It is built to reduce friction for people who want access to strong models without managing many subscriptions or provider accounts, while keeping conversation history local by default and offering private options for sensitive use. NanoGPT brings together models from major providers such as ChatGPT, Claude, Gemini, DeepSeek, Llama, DALL-E, Stable Diffusion, Flux, Recraft, and more, so users can switch between tools depending on the task. It supports conversations, coding, creative writing, image generation, video generation, audio creation, text-to-speech, web search, file uploads, and model comparison in the same interface. Its model pages let users browse and discover AI language models for conversations, coding, and creative writing, as well as image models for creative projects.
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