THE COMPARISON / A CLOSER LOOK
gpu.nz vs Neon
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…
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Starting Price
7 ₽/hourNeon
🔴DeveloperAI Infrastructure
Serverless Postgres with branching, autoscaling, and a native pgvector layer used as a default RAG database for AI apps.
SOURCE-CHECK COVERAGE
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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
Neon - Pros & Cons
Pros
- ✓Cheapest idle posture of any managed Postgres — pay only when queries run
- ✓Branching genuinely changes how teams work with preview environments
- ✓pgvector parity removes the need for a separate vector database in many RAG apps
- ✓Backed by Databricks since 2025, easing long-term viability concerns
Cons
- ✗Cold starts in the hundreds of milliseconds matter for latency-sensitive paths
- ✗Free tier is small enough that most teams must upgrade before serious testing
- ✗Roadmap uncertainty after the Databricks acquisition for top-tier plan pricing
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