Alternatives to Modal

Rent GPU pods, Serverless inference endpoints and multi-node GPU clusters by the second on Runpod's AI developer cloud.

Cerebras inference cloud runs frontier LLMs in Ultrafast mode at up to 750 tokens/sec for real-time agents and voice AI.

Run untrusted code and AI workloads on serverless GPU compute with forkable microVMs and millisecond-billed sandboxes.

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

Lilac turns idle GPU clusters into a white-labeled neocloud with spot H100 leases and serverless inference.

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

Serverless GPU inference for custom ML models — deploy in minutes, billed per second with scale-to-zero.

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

Crusoe Cloud GPU instances, serverless inference, and fine-tuning priced for AI teams that want orchestration included

Serverless inference API for 100+ image, video and 3D models — FLUX, Veo 3.1, Wan 2.1 — billed per output or per GPU-second.

One inference API for 400K+ image, video, audio, LLM and 3D models, plus serverless GPUs starting at $0.63/GPU-hour reserved.

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

Together AI is an AI cloud for open-weight models: per-token inference APIs with GPU clusters underneath.

Fireworks AI runs open-model inference, ensembling and fine-tuning on one platform at per-token prices.

Novita AI runs 200+ open-weight LLM, image, audio, video and Vision models through one OpenAI-compatible serverless API.

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

Axelera AI builds European edge inference accelerators — Metis and Europa AIPUs for vision, agentic and GenAI workloads from M.2 modules to

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

Multimodal inference API on dedicated NVIDIA GPUs with an OpenAI-compatible endpoint

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

European GPU cloud with self-service GB300, B300 and B200 instances plus per-token open-weight inference

EU-sovereign GPU cloud for AI training and inference — Hyperstack on-demand or single-tenant Secure Private Cloud.

EnCharge AI builds analog in-memory computing silicon that runs AI inference at roughly 200 TOPS on about 8 watts.

Sovereign AI cloud: Nscale owns the data centers and power, then sells reserved GPU capacity, managed inference and fleet operations on top.

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

Kalavai pools spare GPUs from laptops, desktops and cloud VMs into one self-hosted AI compute cluster.

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

Krutrim Cloud rents A100 and H100 GPU instances in India with rupee billing and Indian data residency.

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

Enterprise LLM fine-tuning with accuracy SLAs and sub-second inference.