Blog

A detailed analysis of the incident on March 10, 2026 that led to service outages in the us-central1 region.

At NVIDIA GTC 2026, Nebius and DataRobot, with NVIDIA, introduced a validated AI Factory stack for production-grade agent workloads. In this post, we outline how the DataRobot Agent Workforce Platform runs on Nebius AI Cloud to support sustained inference, governance and cost control for AI agents deployed in live business workflows.

Nexla and Nebius are partnering to deliver a production-ready data and agent stack that connects governed enterprise data with infrastructure built for sustained inference. In this post, we outline how this architecture enables multi-agent systems to move from fragmented data pipelines to reliable production workflows, and show it in action through a live “Inspiration to Trip” demo presented with Tripadvisor at NVIDIA GTC.

A detailed analysis of the incident on February 26, 2026 that led to service outages in the eu-north-1 region.

Nebius and Eigen AI are partnering to bring optimized frontier open-source models to Nebius Token Factory. As part of the collaboration, optimized implementations of models such as DeepSeek, GLM, GPT-OSS, Kimi, Llama, MiniMax and Qwen will be published on the platform, giving developers direct access to high-performance inference through production-ready endpoints and APIs.

Today we’re introducing the Inference Frontier Program, a new builder-to-builder initiative dedicated to production inference systems. The program surfaces real architectures, optimizations and engineering tradeoffs from teams running large-scale inference in production.

NVIDIA Nemotron 3 Super is now available on Nebius Token Factory, bringing a 120B hybrid MoE model optimized for multi-agent systems and complex reasoning workflows to production deployments. With long-context inference and OpenAI-compatible APIs, teams can run Nemotron 3 Super through dedicated GPU endpoints and autoscaling infrastructure without managing their own serving stack.

Self-hosted AI agents offer control and flexibility, but they also introduce real security risks. Incidents involving malicious ClawHub skills, exposed default ports and prompt-injection attacks show that running OpenClaw is not just an installation task, but an infrastructure decision. This guide explains OpenClaw’s architecture and maps real threats to concrete-hardening controls, so teams can deploy it safely in production.

We’re introducing SWE-rebench-V2, the next iteration of our large-scale dataset of reinforcement learning (RL) environments for training autonomous software engineering agents (SWEs).

Today, Nebius and Toloka are announcing plans to bring Tendem into the Nebius ecosystem. This integration further strengthens the Nebius AI stack, anchoring the raw intelligence of Token Factory and the autonomy of Tavily agentic search with a programmable layer of human reliability. Originally designed as the market’s pioneer hybrid human-AI agent, Tendem is now the first platform to embed vetted human experts directly into agentic workflows — making expert judgment callable via the Model Context Protocol (MCP), the emerging standard for AI tool integration.

We are introducing Dedicated Endpoints and a Custom Weights Hub in Nebius Token Factory. You can now choose GPU type, define GPUs per replica, set scaling limits, select region and deploy your own model weights to isolated endpoints. Deployment becomes a defined, controllable part of your production architecture.

NVIDIA and Nebius ran joint benchmarks using NVIDIA Run:ai, the AI workload orchestration and optimization software platform on the Nebius AI Cloud. The goal was simple: test whether fractional GPU allocation could improve efficiency and scalability for real-world inference workloads — without compromising performance.