THE COMPARISON / A CLOSER LOOK
gpu.nz vs Modal
Compare the listed plans, useful capabilities, and practical tradeoffs.
Prices and features reflect editorial records. Check vendor terms before you buy; documentary checks do not imply hands-on testing.
gpu.nz
🔴DeveloperAI Infrastructure
gpu.nz is a Russian-language marketplace for renting NVIDIA GPU servers billed by the minute, with templates for ComfyUI, Ollama and vLLM plus an API, CLI and…
SOURCE-CHECK COVERAGE
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Starting Price
7 ₽/hourModal
🔴DeveloperAI Infrastructure
Serverless cloud for running Python code, AI models, and GPU workloads at scale with per-second billing.
SOURCE-CHECK COVERAGE
No scoped source-check record shown. Check current pricing and vendor terms before buying.
Starting Price
FreeFeature Comparison
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gpu.nz - Pros & Cons
Pros
- ✓Per-minute billing with prices locked at launch
- ✓Wide choice from consumer RTX cards to A100 and H100
- ✓Ready-made templates for popular image and LLM stacks
- ✓Well-documented MCP server with spending limited to account balance
Cons
- ✗Site, pricing and support are in Russian and priced in rubles
- ✗Payment limited to Russia's SBP bank transfers or cryptocurrency; company invoices listed as coming soon
- ✗Servers and disks are deleted when the balance runs out, and refunds are given only where required by law
Modal - Pros & Cons
Pros
- ✓Best-in-class developer experience for serverless Python and GPU work
- ✓Per-second billing avoids the idle-cost trap of always-on GPU clusters
- ✓Cold starts fast enough for interactive inference, not just batch
- ✓Full GPU SKU lineup including H200 and B200 at competitive rates
- ✓$30/month free credit lets you actually evaluate without a sales call
Cons
- ✗Python-only — no first-class Node, Go, or Rust runtimes
- ✗Pay-as-you-go pricing can be more expensive than reserved capacity under sustained load
- ✗Less low-level control than RunPod or self-managed Kubernetes
- ✗Image build times can be long for heavy ML containers
- ✗Vendor lock-in via the @modal decorator pattern
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