Alternatives to Modal

Rain AI is building energy-efficient, brain-inspired analog in-memory chips for ultra-low-power AI inference at the edge.

Air-cooled AI inference system: 608 PFLOPS per rack, log-math silicon, built for multi-trillion-parameter MoE serving.

Decentralized AI inference with sub-5ms latency and verifiable compute

Analog in-memory computing hardware delivering ultra-efficient AI inference from edge to cloud.

AI-native GPU cloud for large-scale model training, reinforcement learning, and low-latency inference on NVIDIA's newest hardware.

MAX Engine serves open-source LLMs through an OpenAI-compatible API on NVIDIA, AMD, and Apple silicon with no CUDA or PyTorch dependency.

Predibase is a managed platform for fine-tuning and serving open-source LLMs, now part of Rubrik.

Fine-tune and run LLMs locally with Unsloth — custom CUDA kernels cut VRAM and speed up training on your own GPU.

Anyscale Endpoints runs distributed training, batch inference, and multimodal data curation on managed Ray GPU clusters.

NVIDIA's open-source library for optimizing LLM and visual generation inference on NVIDIA GPUs with specialized kernels and a Python API.

Hailo builds edge AI processors and vision SoCs — DRAM-free accelerators and camera chips that run vision and generative AI on-device under ~5W.

European edge AI inference accelerators with a full hardware-to-software stack, built for low-power deployments.

Nscale is a sovereign AI cloud for large-scale GPU training, inference, and HPC with managed Slurm and Kubernetes.

Groq is an inference neocloud built for sub-200ms LPU inference — fast open-weight model serving for real-time chat, voice, and agent workloads.

High-performance AI inference platform for production ML models.

DeepInfra is a serverless inference cloud serving 100+ open models — DeepSeek-V4-Flash-0731 at $0.06 per 1M input tokens — through one OpenAI-compatible API

Microsoft's open-source 1-bit LLM inference framework for fast, lossless CPU and GPU deployment

FuriosaAI RNGD delivers AI inference acceleration with a TCP architecture tuned for LLM and agentic workloads.

Cloud GPU workspace for running Stable Diffusion, ComfyUI, Forge, Fooocus, and Kohya without local hardware.

India-native GPU cloud on A100 80GB and H100 instances, managed AI Pods and Kubernetes, billed in INR with data staying in India.

GPU cloud for AI inference, fine-tuning, and training — billed per second

Cerebras delivers ultra-fast AI inference on wafer-scale hardware for latency-critical agents and apps.

Baseten is a production inference platform for deploying open-source, fine-tuned, and custom AI models on dedicated GPUs, with per-minute billing and no charge

One free REST API for text, image, audio, and video generation — no API key required

Unified AI inference stack from GPU kernel to API endpoint, portable across NVIDIA, AMD, TPU, Trainium, and Qualcomm silicon.

Replicate runs 1000s of AI models — image, video, music and LLM — through one serverless API call, billed by the second.

Together Compute is an AI-native cloud for running open-source models — serverless inference, batch jobs, model shaping, and GPU clusters in one platform.

Salad Cloud rents idle consumer GPUs from $0.015 per GPU-hour for retryable AI inference, batch jobs, image generation, and transcription.

Crusoe Cloud is an AI-only GPU cloud and managed AI platform built on Crusoe's own energy-first, modular data centers.

Apache-2.0 framework for fine-tuning 100+ LLMs and VLMs through a zero-code CLI and the LlamaBoard web UI