why small company chose Nebius group instead of using aws

Small companies may choose Nebius Group over AWS for several reasons, particularly if their focus is on AI workloads and cost efficiency:

## Cost Savings
– **Lower GPU Cloud Costs:** Nebius offers high-performance GPU clusters at prices 20-25% cheaper than larger competitors like AWS. This is especially attractive for startups or small companies with limited budgets needing significant GPU power for AI and machine learning tasks[5].

## AI-Optimized Platform
– **AI-Native Infrastructure:** Unlike general-purpose platforms like AWS, Nebius is built specifically for AI workloads. Its infrastructure is optimized for training and deploying AI models, leading to faster processing and greater efficiency for companies whose core activities depend on AI[5].

## Integrated AI Ecosystem
– **End-to-End Solutions:** Nebius owns several AI-focused companies—including data labeling (Toloka AI) and AI education (TripleTen)—that are integrated into its cloud platform. This creates a seamless, all-in-one ecosystem for companies working in the AI space, reducing the need to stitch together services from multiple providers[5].

## Agility and Flexibility
– **Smaller Company Advantage:** Nebius, being smaller than AWS, can be more agile and responsive. It can adapt its offerings more quickly to customer needs, which may be especially beneficial to small businesses looking for personalized service or rapid feature development[3].

## Summary Table: Nebius vs AWS for Small AI Companies

| Feature | Nebius | AWS |
|————————|———————————–|———————————–|
| GPU Cloud Cost | 20-25% cheaper for AI workloads | Higher, general-purpose pricing |
| AI-Specific Optimizations | Yes, AI-native platform | General-purpose |
| Integrated AI Ecosystem | Yes, with own AI subsidiaries | No, partners with third parties |
| Flexibility/Agility | High, adaptable | Lower, slower to adapt |

Small companies, especially those focused on AI, may find Nebius Group more appealing due to its cost advantage, AI-centric infrastructure, and integrated ecosystem—all factors that can help them compete and innovate quickly without the overhead and complexity of AWS’s massive general-purpose cloud[5][3].

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