Comet’s Opik platform is now listed in Nebius AI Cloud Applications, bringing agent observability, evaluation, and the full Comet AI development platform to one of the most powerful AI cloud platforms available today. It is the first step in a broader collaboration between Opik and Nebius to bring observability closer to the infrastructure where AI systems are built and run.
As AI systems grow more complex, the ability to monitor, evaluate, and iterate on agent behavior has become one of the most critical challenges facing engineering teams. Pipelines are longer, models are more autonomous, and the cost of a silent failure in production is higher than ever. The software layer that helps teams understand and improve their AI systems is becoming inseparable from the compute it runs on, and both companies see real opportunity in closing that gap for builders.
Why Nebius
Nebius is the AI-native cloud for production AI, giving AI builders one integrated platform to train, serve and improve AI at scale. Nebius owns and operates the full stack—from data centers, custom hardware, networking and storage to orchestration, developer platforms, managed inference and agentic infrastructure—allowing it to optimize performance, reliability and efficiency end to end.
That integrated approach is what drew Comet to Nebius. Teams building, serving, and improving AI on a single platform need specialized tooling that fits naturally within it, and Comet complements the Nebius platform with exactly that: experiment management and application-level agent observability and evaluation. Its listing in Nebius Applications gives customers an easy option within the Nebius ecosystem and a direct way to connect with Comet, starting with Opik.
Opik: Full Visibility Across Your Agent Pipelines
Opik is Comet’s open source platform for LLM and agent observability, and it is where this begins. Opik gives AI teams end-to-end visibility into every layer of their stack. From tracking LLM calls and agent traces to logging inputs, outputs, and intermediate reasoning steps, Opik captures the data that matters so teams can understand exactly what their agents are doing and why. Trace individual agent runs, compare behavior across model versions, and surface regressions before they reach production, whether you are running a single model or a multi-agent system with dozens of interconnected components.
Because Opik is open source, teams can start on Nebius with the same tooling already trusted by a large and fast-growing developer community, then scale into the fully managed platform as their needs grow.
Opik was built to run wherever your models run, and Nebius is exactly the kind of environment it was designed for. Teams accessing Opik through Nebius Applications get a proven observability stack that fits naturally within the Nebius platform, alongside the training, orchestration, and managed inference services they already use.
This is not a simple marketplace listing. Comet and Opik have been tested and optimized to run on Nebius infrastructure, with both engineering teams working together to make sure the platform takes full advantage of what Nebius was built for. Teams deploying from Nebius Applications get a stack that has already been proven on the hardware underneath it.
Evaluation That Scales With You
Observability without evaluation is only half the picture. Opik’s evaluation framework lets teams define custom metrics, run automated scoring at scale, and benchmark performance across experiments. As agent systems become more complex and harder to test manually, automated evaluation becomes the only practical path to shipping with confidence. Through Nebius Applications, teams can now run evaluations directly alongside their training and inference workloads, keeping everything in one place.
The Full Comet Platform, Where Your Compute Lives
Comet’s broader platform also includes Comet’s MLOps platform, trusted by ML teams at some of the world’s largest enterprises, is available to Nebius customers as well:
- Experiment Management for tracking training runs, hyperparameters, metrics, and code across every model a team builds, which is a natural fit for teams training and fine-tuning on Nebius GPU clusters.
- Model Registry for versioning, staging, and promoting models from experimentation to production with full lineage back to the experiments that produced them.
- Production Monitoring for keeping deployed models honest once they leave the lab.
For teams training on Nebius, this means the entire lifecycle, from the first fine-tuning run to a monitored production agent, can now happen on a single stack.
Get Started Today
Comet is available now onNebius AI Cloud Applications, so customers can start capturing traces, running evaluations, and monitoring your agents in minutes.
Explore Comet in the Nebius Applications catalog→
