Nebius Group vs Together AI

Nebius Group — Infrastructure · Public · $61.6B mkt cap · 4 of 4 figures sourced  |  Together AI — Infrastructure · Private · $8.3B valuation · 4 of 4 figures sourced

Both run on DeepSeek, GLM, Llama, Mistral, Qwen.

Relationship

Managed Soperator and Together GPU Clusters do comparable work on GPU cloud and model training; both also serve buyers who need to buy data-centre AI compute and train or fine-tune a model; smaller scale (private).

Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.

4 of 5 capabilitiesShared product typeSmaller scale

4 of 5 capabilities — Shares GPU cloud, model hosting, model inference and 1 more.

Ludbee capability tags · from the product records

Shared product type — Both ship developer tool, infrastructure service and model API.

Ludbee product records

Smaller scale — Together AI: $8.3B valuation, against Nebius Group's $61.6B market cap.

Ludbee scale figures · valuation, market cap or revenue estimate

Aligned comparison

FieldNebius GroupTogether AI
Size$61.6B mkt cap$8.3B valuation different basis
Employees1,543350 Together AI has 4.4× fewer
Founded20242022 2 yrs earlier
StatusPublicPrivate
CategoryInfrastructureInfrastructure match
Stack layerDeveloper tool, Infrastructure service, Model APIAPI service, Developer tool, Infrastructure service, Model API
HeadquartersAmsterdam, NetherlandsSan Francisco, USA

Capability overlap

Shared · 4

GPU cloudModel hostingModel inferenceModel training

Not verified for Together AI · 1

Evaluation and observability

Recorded for Nebius Group. Together AI’s product records say nothing either way — a missing record is not a missing capability.

Together AI has no capability Nebius Group lacks, among the 4 recorded here.

Products, side by side

Algorithmic pairing — assembled from recorded fields, not hand-checked

Nebius Group

Developer tool

Managed Service for MLflowDeveloper tool

Fully managed MLflow deployment on Nebius AI Cloud for tracking experiments, metrics and artifacts across the machine-learning lifecycle without maintaining tracking-server infrastructure.

Infrastructure service

Managed SoperatorInfrastructure service

Nebius-managed Kubernetes operator that runs Slurm clusters on GPU infrastructure for fault-tolerant large-scale AI training, with topology-aware scheduling and automatic node health checks and recovery.

Nebius AI CloudInfrastructure service

Rented GPU clusters with storage and networking for training and serving models, billed by the GPU-hour.

Serverless AIInfrastructure service

Nebius AI Cloud's on-demand GPU runtime that runs containerised AI workloads as Jobs and hosts custom models behind HTTP Endpoints without provisioning or managing clusters.

Model API

Nebius Token FactoryModel API

Managed inference endpoint serving open-weight models on Nebius hardware, billed per token.

Together AI

Developer tool

Together Custom TrainingDeveloper tool

Custom model training service covering supervised fine-tuning and direct preference optimization, billed per token.

Infrastructure service

Together Dedicated Container InferenceInfrastructure service

Dedicated, reserved GPU containers for model inference with guaranteed performance, billed per GPU-hour.

Together GPU ClustersInfrastructure service

Reserved NVIDIA GPU clusters for training and large-scale inference.

Model API

Together InferenceModel API

Hosted API serving open-weight text, image and audio models, billed per token.

No counterpart

Together AI sells these in a stack layer with no product recorded for Nebius Group yet — nothing on the other side to compare them against.

API service

Together Batch InferenceAPI service

Asynchronous bulk inference for workloads that do not need a real-time response, priced below Together's serverless rate.

Together Fine-TuningAPI service

A managed service for fine-tuning open-source models on a customer's own data and serving the result on Together's infrastructure.