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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 AI Security Guardrails Model Hosting Inference AI Agents Infrastructure

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

Fireworks AI

✓ verifiedPaid

Developer platform for fast serverless inference and training of open generative models, billed per token or GPU-second.

611K visits/mo1.3K saves

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

Aikido Security

✓ verifiedFreemium

Developer-first security platform unifying code, cloud, runtime and AI pentesting with noise reduction and autofix.

670K visits/mo

huntr

✓ verifiedFree

AI/ML bug-bounty platform where researchers bypass LLM guardrails in timed challenges to win cash prizes.

60K visits/mo

Pricing

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

On-Demand H100/H200: $7/GPU-hour

On-Demand B200: $10/GPU-hour

On-Demand B300: $12/GPU-hour

Fine-tuning (LoRA SFT, models up to 16B): from $0.50 per 1M training tokens

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

Team: $250/mo + compute

Developer: $0 (2 users, 10 repos)

Basic: $300/mo (10 users, 100 repos)

Pro: $600/mo (200 repos)

Standard Pentest: $4,000 per assessment

Free trial available

No public pricing

Core features

✦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%

✦Serverless per-token inference with OpenAI/Anthropic-compatible APIs
✦On-demand dedicated and reserved GPU deployments
✦Fine-tuning and reinforcement-learning training pipelines
✦Large library of open LLM, vision, image and audio models
✦Optimized inference engine for throughput and latency

✦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

✦SAST, SCA and secrets scanning
✦Cloud misconfiguration (CSPM) and container scanning
✦AI-powered autonomous pentesting
✦AutoFix pull requests and auto-triage
✦Runtime and bot protection (Zen)
✦SOC 2 and ISO compliance support

✦Timed AI-hacking challenges with cash pots
✦Public leaderboard and rankings
✦Guardrail-bypass and jailbreak objectives
✦Hacktivity feed of activity
✦Community via Discord
✦Blog on LLM exploits and AI security

Use cases

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

→Serving open models in production apps and agents
→Fine-tuning models on private data
→Powering code assistants, chatbots and RAG at scale

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

→Finding and fixing code vulnerabilities
→Securing cloud and containers
→Running continuous pentests
→Automating compliance evidence

→Red-teaming and jailbreaking LLMs
→Earning bounties for AI exploits
→Learning AI attack techniques
→Competing against other researchers

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