toolspool

Compare tools

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
Glean logo
Glean
✓ verifiedPaid

Enterprise Work AI platform for company-wide search, an AI assistant and building governed agents across 250+ connectors.

3.2M visits/mo
Claude logo
Claude
✓ verifiedFreemium

Anthropic's AI assistant for writing, coding, and analysis across web, mobile, and desktop, plus a developer API.

22M visits/mo231K 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

Free: $0/mo
Pro: $17/mo (annual; $20 monthly)
Max: from $100/mo
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
  • Enterprise search across company apps
  • Personal AI assistant grounded in work data
  • Agent builder, orchestration and governance
  • 250+ connectors and actions
  • Enterprise knowledge graph and hybrid search
  • Security controls for scaling AI
  • Conversational writing and editing
  • Code generation and debugging (Claude Code)
  • Data analysis and visualization
  • Web search plus memory across chats
  • Connectors and remote MCP integrations
  • Extended thinking for complex tasks
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
  • Search across all company knowledge
  • Answer employee questions with grounded AI
  • Build and deploy custom AI agents
  • Automate cross-system workflows
  • Drafting and refining written content
  • Building and debugging software
  • Analyzing datasets for insights
  • Research and learning support
  • Team and enterprise automation
Visit
More in AI Agents Infrastructure