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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.

Runpod logo
Runpod
✓ verifiedPaid

Developer-focused GPU cloud offering on-demand pods, serverless inference and multi-node clusters at per-second pricing for AI workloads.

2.3M visits/mo
Google Antigravity logo
Google Antigravity
✓ verifiedFree

Google's agentic development platform and IDE for building software with autonomous, Gemini-powered coding agents.

22M visits/mo18K saves
Sourcery Sentinel logo
Sourcery Sentinel
✓ verifiedPaid

Sourcery's AI agent for automated production issue fixing and code quality; established dev-tools brand.

82K visits/mo1.5K saves
Pricing
Pods A40 48GB: $0.44/hr
Pods RTX 4090 24GB: $0.69/hr
Pods A100 SXM 80GB: $1.49/hr
Pods H100 SXM 80GB: $2.99/hr
Pods H200 141GB: $4.39/hr
Pods B300 288GB: $7.39/hr

No public pricing

Code Quality - Open Source: Free
Code Quality - Pro: $12 per seat / month
Code Quality - Team: $24 per seat / month
Code Quality - Enterprise: Talk to us
Production Issues - Free: Free
Production Issues - Resilience Plus: $200 per month
Production Issues - Enterprise Uptime: Talk to us
Core features
  • On-demand GPU pods across 30+ GPU types and 31 regions
  • Serverless GPU endpoints with sub-200ms cold starts
  • Zero idle cost billing for inference workloads
  • Multi-node clusters for distributed training
  • Persistent network storage for full pipelines
  • Real-time logs, monitoring and autoscaling from 0 to hundreds of workers
  • Agent-first IDE experience
  • Autonomous planning and code execution
  • Integrated editor, terminal and browser control
  • Powered by Google's Gemini models
  • High-level developer supervision
  • AI investigation and diagnosis of Sentry issues
  • Automated code fixes for production issues
  • Slack integration for instant alerts
  • One-click Pull Request (PR) creation for fixes
  • Code review for private repositories
  • Pull request summary generation
  • Mermaid diagrams for code visualization
  • Line-by-line code reviews
  • Custom code review rules
  • Repository analytics
Use cases
  • Renting GPUs for model training and fine-tuning
  • Deploying low-latency real-time inference APIs
  • Running AI agents that need to scale instantly
  • Processing compute-heavy batch or distributed workloads
  • Building apps with AI agents
  • Automating multi-step coding tasks
  • Prototyping and iterating on software
  • Assisting developers on complex work
  • Fixing production bugs and errors faster
  • Increasing system uptime and reliability
  • Reducing support and debugging costs
  • Automating code quality checks and improvements
  • Streamlining code review processes
  • Identifying and triaging critical Sentry issues
  • Enhancing code security through automated scanning
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