Alternatives to Distrifuser

TensorRT-LLM is NVIDIA's open-source inference library for high-throughput LLM and visual generation serving on NVIDIA GPUs.

Query image, video, speech, music and text generation through one multimodal API key

Runware is one inference API for 400K+ image, video, audio, LLM and 3D models on a single endpoint.

Serverless APIs for 200+ open-weight LLM, image, audio, video and vision models, plus GPU cloud and an agent sandbox.

Salad Cloud rents idle consumer GPUs from $0.015 per GPU-hour, billed per second, for retryable inference and batch work.

One API key, 1,000+ image, video, audio, 3D and LLM models on pay-per-use pricing

fal.ai runs 1,500+ generative media models — image, video, audio, 3D — through one API with per-output pricing.

OpenAI-compatible multimodal inference API on dedicated NVIDIA GPUs, from $2.60/GPU-hour

Run 20+ pre-installed open-source AI apps — ComfyUI, Stable Diffusion, RVC, LoRA training — in your browser on rented cloud GPUs

Synexa AI runs 100+ image, video, and 3D diffusion models through one serverless GPU API call at up to 60% below Replicate and Fal.ai.

High-performance AI inference platform for production ML models.

Open-source worker client that donates your idle GPU or CPU cycles to the AI Horde so anyone can generate images and text for free.

Serverless AI inference on 100+ open models via an OpenAI-compatible API, billed per token with no GPU overhead.

Modular's unified inference stack delivers hardware-portable LLM serving from GPU kernel to OpenAI-compatible cloud endpoint

ViewComfy turns ComfyUI workflows into no-code web apps and autoscaling serverless APIs, billed per active GPU second.

Open-source BentoML toolkit for packaging and serving diffusion models like Stable Diffusion and Flux as scalable APIs.

Rent GPUs on Vast.ai's marketplace — 20,000+ cards, per-second billing, and API-native provisioning agents can drive.

CoreWeave is the AI-native GPU cloud for training, reinforcement learning post-training, and low-latency inference on NVIDIA cluster-scale

Mesh LLM splits large open-weight models into layer ranges across your own GPUs and serves them through one OpenAI-compatible endpoint at localhost:9337.

Per-second-billed cloud GPUs (H100, A100, A6000, V100) with 1-click Jupyter notebooks, model deployment, and distributed training in beta.

Managed Ray platform for distributed model training, multimodal data curation, and batch embedding generation on your own GPUs.

Free AI image and text generation on Stable Horde — volunteer GPUs, no account needed.

LLaMA-Factory fine-tunes 100+ LLMs and VLMs with a zero-code CLI and the LlamaBoard web UI

vLLM turns open-weight LLMs into high-throughput, OpenAI-compatible inference endpoints on your own GPUs.

Parallax is a distributed model serving framework for building your own self-hosted AI cluster across scattered GPUs, Macs, and

European GPU cloud with self-service NVIDIA GB300, B300 and H200 instances plus serverless GPU inference

Rent GPU instances and per-second GPU sandboxes for AI training, RL rollouts, and agent workloads from $0.35/hr.

Zettascale builds XPU accelerator chips that cut AI inference and training energy by keeping data close to compute.

Kalavai pools spare GPUs across your laptops, desktops and cloud VMs into one self-hosted AI compute cluster you control.

Mini Infer is a readable Python LLM inference engine with hand-written CUDA and Triton kernels for learning LLM serving.