Baseten vs Nebius
Updated March 10, 2026
Overview
Baseten is a model inference platform that lets developers deploy and scale ML models with high-performance GPU infrastructure. It supports custom model deployments with autoscaling, and hosts popular open-source models through its Truss serving framework.
Nebius (Nasdaq: NBIS) is a major GPU cloud provider spun off from Yandex, offering large-scale NVIDIA GPU clusters for AI training and inference. With data centers in Europe and expanding globally, Nebius provides enterprise-grade AI infrastructure with competitive pricing and dedicated support for large-scale AI workloads.
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Production-ready platform
- Good performance
- Active development
- Strong features
Cons
- Enterprise pricing varies
- Setup complexity
- Learning curve required
Pros
- Massive scale with 2+ GW contracted power, expanding to 3+ GW
- Latest NVIDIA hardware including B200 Blackwell and GB300
- Up to 35 percent savings with reserved capacity
- Strong employee satisfaction (4.5/5) in Amsterdam
Cons
- No free trial makes evaluation difficult without upfront commitment
- Work-life balance concerns cited by some employees
- Over 90 percent Russian language creates barrier for non-Russian speakers
- Newer player compared to established cloud providers
Compare Baseten and Nebius on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.
