Cisco vs Nebius Group
Relationship
Cisco AI PODs and Nebius AI Cloud do comparable work on model training; both also serve buyers who need to buy data-centre AI compute; smaller scale (public); ships developer tool, infrastructure service and 1 more rather than the same layer.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 of 17 capabilities — Shares evaluation and observability, model inference and model training.
Ludbee capability tags · from the product recordsDifferent layer — Nebius Group ships developer tool, infrastructure service and 1 more, not the same layer.
Ludbee product recordsSmaller scale — Nebius Group: $61.6B market cap, against Cisco's $433.3B market cap.
Ludbee scale figures · valuation, market cap or revenue estimateAligned comparison
Capability overlap
Shared · 3
Not verified for Nebius Group · 14
Recorded for Cisco. Nebius Group’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Cisco · 2
Recorded for Nebius Group. Cisco’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Cisco
No shared stack layer with the other side.
Nebius Group
No shared stack layer with the other side.
No counterpart
Cisco sells these in a stack layer with no product recorded for Nebius Group yet — nothing on the other side to compare them against.
Application
AI assistant for contact-centre agents and supervisors that produces call and transfer summaries, live transcription, suggested chat replies, topic analytics, automatic CSAT scoring and agent burnout signals.
AgenticOps workspace where teams and AI agents collaborate to investigate, correlate and resolve issues across domains: natural-language querying, multi-step agent workflows, shared real-time visibility, and native Cisco plus third-party tool integration via Cloud Control Studio.
End-to-end AI security product that discovers an organisation's AI assets, red-teams models and applications for vulnerabilities, and enforces runtime guardrails against prompt injection and data leakage.
Agentic support intelligence delivered inside Cisco Support and Professional Services — 'the delivery vehicle for everything Cisco Support and Professional Services knows about your environment, made continuously available before you ask for it' — generally available as SaaS since April 2026 and included with existing support contracts.
AI-native workforce engagement suite for contact centres that forecasts demand and optimises shifts, uses NLP and LLMs to evaluate 100 percent of human and AI agent interactions (AI Quality Management), and runs performance coaching and AI-led onboarding simulations.
AI agent
Autonomous customer-service AI agent that handles inquiries conversationally across voice, SMS, email, chat and messaging apps and escalates to a human agent with context when it cannot resolve.
Hardware
Pre-validated modular AI infrastructure bundles that combine Cisco UCS servers, NVIDIA GPUs, Nexus 9000 400G/800G switching and management software into single orderable stacks for AI inferencing, training and fine-tuning.
Turnkey on-premises AI appliance that runs real-time speech transcription for Cisco collaboration deployments locally, for customers with data-sovereignty requirements that rule out cloud AI services.
Cloud-managed full-stack AI cluster sold as hardware plus software plus service, packaging Cisco 6000 and N9300 series switches on an 800GbE back-end fabric, UCS servers with NVIDIA H200 GPUs and BlueField DPUs, optional VAST storage and NVIDIA AI Enterprise under the Hyperfabric cloud controller.
Unified programmable networking-silicon architecture for AI, hyperscale, data-centre, service-provider and enterprise routing/switching, spanning five series (G/P/E/K/A) of chip families.
Nebius Group sells these in a stack layer with no product recorded for Cisco yet — nothing on the other side to compare them against.
Developer 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
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.
Rented GPU clusters with storage and networking for training and serving models, billed by the GPU-hour.
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
Managed inference endpoint serving open-weight models on Nebius hardware, billed per token.