Blog

Today, we’re launching Data Lab in Nebius Token Factory. It is a new workspace for turning production logs and existing datasets into reusable training data for post-training workflows. Data Lab helps teams explore inference logs, curate datasets and move directly into model iteration without rebuilding pipelines or copying production data across environments.

Nebius and LangChain have partnered to integrate Nebius Token Factory with LangChain’s Deep Agents. The integration, combined with LangChain’s existing Tavily integration, gives teams building on LangChain a direct path to run agent workloads on production-grade AI infrastructure with open-source models, dedicated endpoints, real-time search and full control over cost and data.

We are thrilled to announce that Nebius is the official technology partner for Season 1 of Ultimate Fighting Bots (UFB)’s Humanoid Sports League — the world’s first multi-format competition platform for physical AI. The two companies will pioneer the use robots by coupling UFB’s growing platform for humanoids with Nebius’s cloud solution for physical AI.

Yesterday we announced that Clarifai, a core AI engineering and research team, is joining Nebius. This follows the recently-announced agreement to acquire Eigen AI. Both are deliberate moves on the same bet: that the AI infrastructure opportunity will be decided at the software layer.

A critical Linux vulnerability known as Copy-Fail (CVE-2026-31431) affects systems running the algif_aead kernel module and may impact Nebius compute instances, Kubernetes clusters and containerized workloads. In this post, we explain which services are affected, what mitigations have already been applied by Nebius and what actions customers should take to secure existing environments.

DirtyFrag (CVE-2026-43284 and CVE-2026-43500) is a pair of Linux kernel vulnerabilities that can allow local privilege escalation on affected systems. In this advisory, we explain which Nebius services may be impacted, what mitigations are currently recommended and how to secure compute instances and Managed Kubernetes environments.

Nebius has achieved NVIDIA Exemplar Cloud status on NVIDIA GB300 NVL72 for training, meeting the 95% performance threshold across NVIDIA’s reference benchmarking recipes. In this post, we explain what this validation means in practice and how it fits into Nebius’s broader work with NVIDIA on building production-grade AI infrastructure.

TD SYNNEX, Aible and Nebius are partnering to help enterprises move AI agents from secure prototyping to production deployment. This post shows how teams can validate agents in isolated environments and then scale them on Nebius AI Cloud through the TD SYNNEX ecosystem.

We introduce LK losses — training objectives that directly optimize the acceptance rate for speculative decoding draft models. They are a drop-in replacement for KL divergence, with no computational overhead, and they work with any draft architecture and any target model size, to deliver consistent improvements in inference throughput across models ranging from 8B to 685B parameters. We are open-sourcing our trained draft models (LK-Speculators) and training datasets (Infinity-Instruct-Completions). An implementation of LK losses is also available as a pull request to SpecForge.

The results of our MLPerf® Inference v6.0 submission demonstrate Nebius’ ability to maximize efficiency for modern AI inference workloads on the latest NVIDIA Blackwell and Blackwell Ultra platforms.

Physical AI is moving from controlled demos to real-world deployment — and that shift demands benchmarks grounded in actual operations, not lab conditions. Today, Nebius joins Positronic as a founding consortium partner of the Physical AI Leaderboard (PhAIL), a new platform that evaluates robot AI models on real hardware using commercially relevant tasks and production-grade metrics.

The Nebius VPN Gateway CLI provides a simple way to configure and operate site-to-site VPN connectivity in Nebius AI Cloud. In this post, we walk through how it enables infrastructure-as-code workflows for IPSec gateways, helping teams manage secure and reliable connectivity across cloud and on-prem environments.