Alternatives to Parallax

Managed Ray platform for distributed training, batch inference, and data curation at scale.

Frontier inference clusters for extreme-scale transformer workloads.

Run large language models at home, BitTorrent-style decentralized inference

Decentralized, unfiltered AI inference on a peer-to-peer GPU network.

Microsoft's open-source framework for running 1-bit LLMs with fast, lossless CPU/GPU inference

Open-source LLM & visual-gen inference optimization library for NVIDIA GPUs, built for maximum throughput.

Groq: sub-200ms LPU inference for real-time AI apps and agents

DeepInfra: low-cost, low-latency cloud inference API for 100+ open models

Ultra-fast AI inference platform for low-latency agents and apps

Unified AI inference platform from kernel to cloud for any hardware, now under Qualcomm.

AI-native cloud for high-throughput open-source model inference and GPU compute at scale.

Power-efficient chiplet-based AI inference hardware and software for enterprise LLM deployment at scale.

Fastest inference for open-source AI models on SambaNova's RDU hardware, now with Anthropic Messages API and prompt caching.

High-throughput, memory-efficient open-source LLM inference and serving engine

High-performance open-source LLM and multimodal inference serving.

Self-improving inference API that routes every call to the best model and retrains itself from your traffic.

Multimodal AI inference platform for production, with Qwen3.8-Max on day zero.

Flat-rate, hyper-fast inference on open LLMs for agentic coding and production workloads.

Open-source AI serving and modeling framework that runs on any hardware with a Mojo kernel layer.

Predibase by Rubrik: Fine-tune and serve open-source LLMs on managed infrastructure.

Open REST API for multi-modal AI generation with no signup required

Free, community-powered AI image and text generation from volunteer GPUs.

Runware: one API for image, video, audio, 3D & LLMs at up to 90% lower cost

European frontier AI platform for GDPR-compliant agents, custom models, and sovereign deployments.

AI-native cloud for developers: 200+ models, serverless GPUs, and agent sandbox under one API.

Split big LLMs across your GPUs and run them locally with one OpenAI-compatible API.

Open-source Kubernetes operator for deploying and scaling LLMs, embeddings, and speech-to-text with intelligent autoscaling.

Open-source local AI runtime: text, voice, vision, images, 3D, agents, on your hardware.

One OpenAI-compatible API for 127+ text, image, video, and audio models