Cloud API for running open and proprietary AI models, fine-tuning them and deploying your own, billed by usage.
WaveSpeedAI alternatives
3 products our research names as a replacement for WaveSpeedAI in Model Hosting & Inference, each with what it does differently — prices, API and status from our own checks rather than from the vendors’ own pages.
fal.ai
75Developer platform serving 1,000+ generative image, video and audio models through one metered API
Runpod
39Pay-as-you-go GPU cloud for renting pods by the hour and running serverless inference endpoints that scale to zero.
More in Model Hosting & Inference
Not named as direct replacements — neighbours from the same part of the catalog: the best-rated first, then a sample of the rest.
Awan LLM
71Flat monthly plans for LLM API access with no per-token metering, built on open models.
Enterprise gateway serving 300+ models over one encrypted, zero-retention endpoint with per-token billing
Google Cloud's platform for building, tuning, deploying and governing AI agents and models, formerly sold as Vertex AI.
Prodia
79Pay-per-job inference API serving 50+ image and video models with sub-200 ms image latency
Luminal
71Ahead-of-time GPU compiler with a pay-as-you-go inference API, plus managed and on-premise deployments
Desktop app for downloading and running open-weight LLMs locally, now with a Bionic agent and optional US-hosted cloud models.
Kaba
68Desktop harness that joins your own devices into an encrypted mesh, keeps a private memory of your work and trains LoRA adapters on it
Synexa
79Serverless API for running 100+ image, video, 3D and audio models, billed per output or per second of GPU time
Prem AI
57Runs LLMs and vision models on encrypted GPUs so enterprise data never leaves the customer's environment.
Mirai
68On-device AI inference stack for Apple Silicon, aimed at fast, private, local model execution.
Trains and serves open and custom language models with per-token API pricing.
Free platform for optimizing, quantizing and deploying PyTorch or ONNX models to run on Qualcomm phones, PCs, cars and IoT chips.
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