Explore the AI
operating system
Deploy, optimize and scale open-source AI models with an AI operating system designed for low latency, cost efficiency and production-grade inference.
Run open-source AI models economically. At any scale.
Enterprise inference for open-source AI
models
Run state-of-the-art open-source AI models with sub-second latency, predictable cost and zero-retention security with no MLOps required. Dedicated endpoints with autoscaling throughput and a 99.9% uptime SLA ensure users can grow with their production demands.
Async workloads and
batch inference at
scale
Process millions of requests asynchronously with high-throughput batch inference. Submit entire jobs at once, retrieve results within 24 hours and cut inference costs by 50% with no rate limits and no complex retry logic.
Post-training
Turn open-source LLMs into high-performance, production-grade systems fine-tuned on customer data. Built-in distillation and speculative decoding compress powerful models into compact systems that run 3-5 times faster at dramatically lower cost.
Top open-source models available:
Text and multimodal
- DeepSeek R1 and V3
- DeepSeek-R1-Distill-Llama-70B
- Llama-3.3-70B-Instruct
- Mistral-Nemo-Instruct-2407
- Qwen2.5-72B
- QwQ-32B
- Google Gemma-2-27B-IT
- GPT OSS 120B and 20B
Embeddings and guardrails
- BAAI/bge-en-icl
- BAAI/bge-multilingual-gemma2
- intfloat/e5-mistral-7b-instruct
- meta-Llama/Llama-Guard-3-8B
- Qwen/Qwen3-Embedding-8B
Run AI in production. Control every variable that matters.
Scalable inference
Handle hundreds of millions of tokens per minute with autoscaling throughput and 99.9% uptime SLAs. Scale seamlessly from prototype to global deployment without rate throttles or GPU wrangling.
Low latency
Use sub-second time-to-first-token, validated by independent benchmarks. Multi-region routing and speculative decoding keep response times stable under load, even at peak demand.
Cost efficiency
Transparent dollar/token pricing has no hidden infrastructure costs. Optimized serving pipelines and distillation-based reductions deliver up to three times better cost-to-performance, independently verified.
Production reliability
99.9% uptime SLAs, dedicated endpoints and fault-tolerant architecture ensure endpoint models perform consistently in production, delivering full operational control and cost visibility at every scale.
Multi-modal flexibility
Access 60+ open-source AI models spanning LLMs, vision, reasoning and embeddings through one OpenAI-compatible API. Add fine-tuned or custom models on the same governed platform.
Developer-friendly integration
Rely on a familiar OpenAI-compatible API, structured JSON outputs, native function calling and built-in safety guardrails. Integrate once and deploy anywhere, with no infrastructure management required.
Benchmark-backed performance and cost efficiency
Proven performance, verified benchmarks
Get sub-second responses and stable with consistent throughput and latency, even at peak load. Top-tier performance on models like DeepSeek V3 0324, independently verified by Artificial Analysis.
Scale without limits
Handle 100M+ tokens per minute with consistent throughput and 99.9% uptime SLAs. Autoscaling and speculative decoding ensure reliability from prototype to global deployment.
Comprehensive model coverage
Access 60+ open-source AI models spanning LLMs, vision, reasoning and embeddings, expanding monthly.
A community of AI innovators
A pioneering open-source LLM inference framework partnered with Nebius to supercharge DeepSeek R1 performance for real-world production use.
4X
faster first token
80
concurrent request handled
2x
boost in throughput
The leading open-source vLLM used Nebius compute clusters to test, benchmark and optimize inference across large-scale model architectures, including DeepSeek R1.
0
hardware-related issues
Consistently
accurate hardware
performance metrics
24/7
access to cutting-edge hardware
A broadcast-quality dubbing platform delivers end-to-end localization in 70+ languages to run model training and production inference on Nebius around the clock.
24/7
model training in production
Hundreds
of terabytes
of training data
A100+
H100
GPU fleet on Nebius
