Nebius AI Pricing & Developer Hub
Everything you need to know about Nebius AI pricing in 2026: platform fees, serverless quotas, compute instance rates, and bill optimization strategies.
Enterprise AI Infrastructure: High-Density InfiniBand GPU Clusters
Nebius AI is an enterprise GPU hyperscaler engineered specifically for AI research labs, foundation model builders, and high-throughput inference operators. Built from the ground up with custom liquid-cooled server racks and NVIDIA Quantum-2 InfiniBand networking (3.2 Tbps per node), Nebius AI delivers bare-metal GPU performance without the virtualization jitter and thermal throttling that plagues legacy cloud providers.
Nebius offers two core services: Dedicated GPU Clusters (for pre-training and fine-tuning frontier models) and Nebius AI Studio (a low-latency serverless token API offering hosted inference for DeepSeek-V3, Llama 3.3 70B, and Qwen 2.5).
Nebius AI GPU Cluster Rates & Token API
| Service Tier | Hardware / Model Specs | Unit Price | Comparison vs AWS / Azure |
|---|---|---|---|
| 8x NVIDIA H100 SXM5 | 640GB HBM3, 3.2 Tbps InfiniBand | $2.45 - $2.95 / GPU-hr | 35% cheaper than AWS p5.48xlarge |
| 8x NVIDIA H200 SXM5 | 1,128GB HBM3e (4.8 TB/s bandwidth) | $3.40 - $3.85 / GPU-hr | World's highest memory capacity |
| DeepSeek-V3 Token API | Hosted inference via Nebius Studio | $0.14 in / $0.28 out (per 1M) | Fast European datacenter endpoint |
| Llama 3.3 70B Token API | vLLM optimized FP8 inference | $0.40 in / $0.80 out (per 1M) | 50% below standard provider rates |
Why Foundation Model Labs Choose Nebius
Training multi-billion parameter models across thousands of GPUs requires deterministic non-blocking network fabric. Nebius AI's dedicated InfiniBand fabrics deliver sub-microsecond MPI collective communication latencies, reducing AllReduce synchronization stalls and maximizing GPU compute efficiency to over 55% Model FLOPs Utilization (MFU).
Frequently Asked Questions
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Nebius AI Cloud Architecture: European H100 Clusters & Studio API Economics
Nebius AI is an AI-specialized hyperscaler operating state-of-the-art datacenters in Europe (notably its flagship green datacenter in Mäntsälä, Finland, utilizing server heat recapture for local municipal district heating). Nebius delivers two primary services: **Nebius AI Studio** (serverless, pay-per-token API access to open-weight frontier models like Llama 3.3 70B, DeepSeek-V3, and DeepSeek-R1) and **Nebius AI Cloud** (dedicated multi-node GPU clusters backed by Nvidia Quantum-2 3.2 Tbps InfiniBand). At **$2.20 to $2.50 per hour per H100 SXM5 GPU**, Nebius provides hyperscaler-level hardware reliability at **60% lower cost than AWS EC2**.
Nebius Production GPU Cluster & Studio API Rate Card
| Service Tier | Hardware / Model | Unit Rate | Interconnect / SLA | Monthly Dedicated |
|---|---|---|---|---|
| Nebius Studio (Token API) | Llama 3.3 70B Instruct | $0.18 / $0.59 / M | 110 tok/sec streaming | Pay-per-token |
| Nebius Studio (Reasoning) | DeepSeek-R1 (Serverless) | $0.75 / $2.40 / M | 65 tok/sec streaming | Pay-per-token |
| Dedicated H100 SXM5 (1x) | 1x Nvidia H100 80GB | $2.45 / hr | NVLink 900 GB/s | $1,764.00 / mo |
| Dedicated 8x H100 Cluster | 8x H100 SXM5 (640GB) | $19.60 / hr | 3.2 Tbps InfiniBand NDR | $14,112.00 / mo |
Nebius AI Studio Python Integration
from openai import OpenAI
# Direct integration via OpenAI-compatible endpoint in European datacenter
client = OpenAI(
base_url="https://api.studio.nebius.ai/v1/",
api_key=os.environ["NEBIUS_API_KEY"]
)
response = client.chat.completions.create(
model="meta-llama/Meta-Llama-3.3-70B-Instruct",
messages=[{"role": "user", "content": "Analyze system throughput bottlenecks."}],
temperature=0.2
)
print(response.choices[0].message.content)Nebius Production SRE Guardrails
- InfiniBand Fabric Health Verification: Before launching multi-node distributed training runs across Nebius clusters, execute standard NCCL all-reduce tests (`all_reduce_perf -b 8M -e 1G -f 2`). Inter-node bandwidth must sustain >380 GB/s to prevent gradient synchronization bottlenecks.
- Shared Network Storage (Lustre / NFS): Mount high-throughput distributed parallel filesystems for training shard checkpoints. Nebius managed storage delivers up to 100 GB/s aggregate read throughput, preventing GPU CUDA core starvation.
Engineering Q&A: Nebius AI Infrastructure
What makes Nebius AI different from budget neoclouds?
Unlike budget GPU aggregators that rent excess mining rigs, Nebius designs and constructs its own Tier-3 datacenters with proprietary server chassis, dedicated Nvidia InfiniBand networking fabrics, and enterprise SOC 2 and ISO 27001 certifications.
Are European workloads subject to the US CLOUD Act on Nebius?
Nebius operates its primary infrastructure entities within the European Union (Finland and Netherlands), providing strict compliance with GDPR and European data privacy governance standards.
Nebius AI InfiniBand Fabric Architecture & Slurm Cluster Orchestration
For hyperscale frontier model training and distributed checkpointing, Nebius AI provisions dedicated Slurm-managed bare-metal clusters interconnected via NVIDIA Quantum-2 InfiniBand switches. Operating with non-blocking 3.2 Tbps per-node bisectional fabric bandwidth, Nebius enables Megatron-LM and DeepSpeed 3D-parallelism (tensor, pipeline, and data parallelism) with virtually zero collective communication overhead during all-reduce synchronization steps. Each GPU node attaches to petabyte-scale Lustre or GPFS parallel filesystems delivering over 100 GB/s sequential read throughput, preventing GPU starvation during epoch data loading phases.
Nebius Enterprise Hardware SLA & Reserved Capacity Governance
Enterprise contracts with Nebius AI provide guaranteed 99.95% compute availability with dedicated spare chassis standing by in Tier 3+ European datacenters. In the event of a single GPU memory uncorrectable ECC error or host motherboard failure, Slurm health check scripts automatically isolate the defective node and trigger automated job rescheduling against warm hot-standby instances within 90 seconds. Comprehensive Prometheus node-exporter metrics track per-GPU NVLink CRC error rates, DCGM throttling states, and power telemetry in real time, guaranteeing consistent FLOPS performance across continuous 60-day model pretraining campaigns.
Frequently Asked Production & Architecture Questions
Q: What is the typical network latency across Nebius InfiniBand fabrics during multi-node all-reduce?
A: Inter-node MPI collective operations complete with sub-2-microsecond switch transit latency across 3.2 Tbps Quantum-2 InfiniBand links, ensuring zero GPU worker pipeline stall during gradient synchronization passes.
Q: Does Nebius AI offer automated node replacement under enterprise SLAs?
A: Yes. Hardware watchdogs continuously sample NVLink health and ECC parity. If any single GPU drops offline, Slurm triggers automated workload migration to warm spare nodes in under 90 seconds without manual operator intervention.