fal.ai

Run and deploy ML models via API with simple pricing

Cloud platform that lets developers run 50,000+ open-source ML models through a simple API without managing GPUs or infrastructure. Replicate hosts production-ready models like FLUX, Stable Diffusion, Llama, and Whisper for image, text, audio, and video, with custom model deployment, LoRA support, automatic scaling, version history with rollback, and pay-per-use pricing.

Fast inference platform for open-source models

Cloud platform for running, fine-tuning, and training open-source AI models with optimized inference speeds up to 4x faster than traditional deployments. Together AI supports serverless endpoints and dedicated GPUs, fine-tuning of 100B+ parameter models like DeepSeek-V3 and Qwen3-235B, plus async batch processing scaling to 30B tokens for cost-effective large workloads.

Anthropic's frontier AI assistant

Anthropic's AI assistant known for strong reasoning, nuanced writing, and extended context up to 200K tokens. Available in Opus (most capable), Sonnet (balanced), and Haiku (fast) tiers. Features web search, deep research, file analysis, code execution, artifacts, and Projects for organized workflows. Claude Code provides terminal-based agentic coding. API supports tool use, batch processing, and prompt caching. Available via claude.ai, mobile apps, and developer API.

Wafer-scale inference at thousands of tokens per second

Cerebras Inference serves open-weight LLMs like Llama, Qwen, and GPT-OSS on wafer-scale CS-3 chips through an OpenAI-compatible API, benchmarking between 1,800 and 2,600 output tokens per second on Llama 3.1 8B and several hundred on 70B models. A free tier offers one million tokens per day with no credit card, while paid pay-per-token pricing starts at $0.04 per million tokens for the smaller Llama models.

One desktop app for every LLM — private, cross-platform, extensible

Chatbox is a cross-platform desktop AI client supporting OpenAI, Claude, Gemini, DeepSeek, and local models via Ollama. All chat data stays on-device, making it ideal for privacy-conscious developers. Features include document analysis, code assistance with syntax highlighting, image generation, web search, and a local knowledge base for private Q&A. Available on Windows, macOS, Linux, Android, iOS, and web.

ML inference platform for production AI models

Baseten is the inference platform for deploying AI models at scale with dedicated and pre-optimized model APIs and performance-optimized infrastructure. Specializes in image generation, transcription, text-to-speech, LLM serving, embeddings, and compound AI workloads. Delivers 75% latency reduction with 415ms cold starts and 3000+ concurrent scaling. Available as managed cloud or self-hosted, trusted by Cursor, Notion, Descript, and Sourcegraph for production inference.

Cross-platform on-device AI model runtime

Nexa SDK enables running frontier LLMs and multimodal models locally across PC, mobile, IoT, and wearables with automatic hardware acceleration for GPU, NPU, and CPU. It supports Qwen, Gemma, Llama, DeepSeek models with Python/C++ desktop SDKs, Android/iOS mobile SDKs, and Docker for edge deployment. Includes an OpenAI-compatible API server with chat and function calling support.

NVIDIA's optimized AI model serving platform

Triton Inference Server is NVIDIA's open-source inference serving platform that deploys AI models from TensorRT, PyTorch, ONNX, TensorFlow, OpenVINO, Python, and more across cloud, data center, and edge environments. It supports dynamic batching, model ensembles, concurrent model execution on GPUs and CPUs, and real-time, streaming, and batch inference patterns. Includes Model Analyzer for profiling and Model Navigator for automated optimization.