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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

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Gpu Cloud Rental Multimodal Content Generation Apis Model Hosting Inference AI Agents Infrastructure

AI/ML API

✓ verifiedPaid

Single API and playground for 1000+ AI models (chat, image, video, audio) with pay-as-you-go billing.

223K visits/mo5.7K saves

MimicPC

✓ verifiedFreemium

Cloud platform to run open-source AI apps like ComfyUI and Stable Diffusion and train LoRAs on rented GPUs, billed hourly.

299K visits/mo

Modal

✓ verifiedFreemium

Serverless AI cloud for running inference, training and sandboxes on GPUs with fast cold starts and pay-per-use billing.

988K visits/mo

WaveSpeedAI

✓ verifiedFree trial

Pay-per-use API hub aggregating 1000+ image, video, and audio generation models for developers building AI media pipelines.

2.2M visits/mo

Nebius

✓ verifiedPaid

AI-focused cloud offering NVIDIA GPU compute, storage and MLOps tooling for training and inference at scale, with usage-based pricing.

678K visits/mo133K saves

Pricing

Pay As You Go: $20 top-up (pay per use, all models)

Free trial available

Essential: $13.95/mo (+$12 credit)

Advanced: $26.95/mo (+$25 credit)

GPU hardware: from $0.29/hr

Free trial available

Starter: $0/mo + compute ($30 free credit)

Team: $250/mo + compute

Silver: $100 top-up (higher rate limits)

Gold: $1,000 top-up (higher rate limits)

Ultra: $10,000 top-up (highest rate limits)

Free trial available

NVIDIA H100: $3.85/GPU-hour on-demand ($2.15 preemptible)

NVIDIA H200: $4.50/GPU-hour on-demand

NVIDIA B200: $7.15/GPU-hour on-demand

Shared filesystem storage: $0.08/GiB per month

Core features

✦One API for 1000+ models
✦OpenAI/Anthropic-compatible endpoints
✦Chat, image, video, audio and embedding models
✦AI playground/sandbox
✦Pay-as-you-go billing across models
✦Enterprise dedicated infrastructure option

✦Pre-installed open-source AI apps (ComfyUI, SD, Fooocus)
✦LoRA and custom model training
✦Image, video, audio, and LLM workflows
✦Hourly GPU rental across several tiers
✦Private storage and shareable workflows
✦No-deployment, browser-based access

✦Serverless GPU compute defined in Python
✦Sub-second container cold starts
✦Autoscale 0 to 1000+ GPUs
✦Inference, training and batch workloads
✦Secure sandboxes for untrusted code
✦Built-in logging and observability

✦Unified API access to 1000+ image/video/audio generation models
✦Pay-per-use pricing billed per image or per second of video
✦Includes chat/LLM model access (Claude, GPT, Gemini, etc.) priced per token
✦Account tiers unlock higher GPU limits and concurrency
✦CLI and desktop app for building workflows
✦Enterprise options with dedicated support and custom deployment

✦NVIDIA GPU instances (H100, H200, B200, GB200)
✦On-demand and preemptible GPU pricing
✦High-performance and object storage
✦Managed Kubernetes and Slurm (Soperator)
✦Serverless and managed inference (Token Factory)
✦MLOps tooling and 24/7 expert support
✦Commitment discounts up to 35%

Use cases

→Integrating many AI models via one API
→Prototyping and scaling AI apps
→Cost-controlled multi-model access

→Running ComfyUI/Stable Diffusion without a local GPU
→Training custom LoRA models
→Face swapping and voice conversion
→Generating images, video, and audio at scale

→Deploying and scaling model inference
→Fine-tuning and training models
→Running batch/parallel AI jobs
→Executing untrusted code in sandboxes

→Integrating AI image/video generation into an app via API
→Building automated content pipelines needing multiple AI models
→Testing and comparing many generative models from one account
→Scaling AI media production with volume-based account tiers
→Accessing both media-generation and LLM APIs from one platform

→Train large AI/ML models on GPU clusters
→Run scalable inference workloads
→Store and manage large training datasets
→Run Slurm/Kubernetes AI pipelines

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