ToolMage
Sign in
Nebius
Machine Learning · 677.5K monthly visits

Nebius is a high-performance cloud platform specifically engineered for AI and machine learning. It provides access to the latest NVIDIA GPUs, scalable clusters with InfiniBand networking, and fully managed services like Kubernetes and Slurm, enabling seamless AI model training, fine-tuning, and inference at any scale.

VS
NVIDIA
Infrastructure · 39M monthly visits

NVIDIA is a global leader in artificial intelligence computing, providing a full-stack platform of hardware, software, and services. Its solutions power everything from gaming and professional graphics with GeForce and RTX GPUs to advanced AI, data science, and high-performance computing in data centers and the cloud.

Nebius vs NVIDIA: pricing, features, traffic, and use cases

Compare Nebius and NVIDIA across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 12, 2026

Product overview

Nebius Product overview

Nebius is a high-performance cloud platform specifically engineered for AI and machine learning. It provides access to the latest NVIDIA GPUs, scalable clusters with InfiniBand networking, and fully managed services like Kubernetes and Slurm, enabling seamless AI model training, fine-tuning, and inference at any scale.

Preview

NVIDIA Product overview

NVIDIA is a global leader in artificial intelligence computing, providing a full-stack platform of hardware, software, and services. Its solutions power everything from gaming and professional graphics with GeForce and RTX GPUs to advanced AI, data science, and high-performance computing in data centers and the cloud.

Preview

Detailed feature comparison

FeatureNebiusNVIDIA
Primary categoryMachine LearningInfrastructure
Added2025-08-022025-08-12
PricingPaidFreemium
Official websitenebius.comwww.nvidia.com
Product typeWebsiteWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits677.5K39M
Monthly growth14.8%14.9%
Favorites9189
DetailsView detailsView details

Nebius vs NVIDIA monthly traffic

Compare Nebius and NVIDIA by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Nebius vs NVIDIA monthly traffic comparison, Nebius currently shows 677.5K visits and NVIDIA shows 39M; NVIDIA has about 57.6 times the visible traffic of Nebius, an absolute difference of about 38.3M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

NVIDIA is registered at the www.nvidia.com/en-us subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.

Nebius monthly traffic:

Latest traffic

Monthly visits
677.5K
Avg. visit duration
1:59
Pages per visit
3.59
Bounce rate
43.49%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 523.8K Monthly visits
  • 2026/1: 562.2K Monthly visits
  • 2026/2: 563.4K Monthly visits
  • 2026/3: 600.7K Monthly visits
  • 2026/4: 590.2K Monthly visits
  • 2026/5: 677.5K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States60.28%408.4K
🇳🇱Netherlands14.35%97.2K
🇩🇪Germany10.4%70.5K
🇬🇧United Kingdom9.39%63.6K
🇷🇺Russia5.58%37.8K

Traffic sources

Source typePercentageTraffic
Direct77.96%528.2K
Referral18.93%128.3K
Email3.11%21.1K

Search keywords

nbisnebiusnebius careersnebius groupnebius stock

NVIDIA monthly traffic:

Latest traffic

Monthly visits
39M
Avg. visit duration
3:29
Pages per visit
5.8
Bounce rate
34.09%
Data updated 2026-06-15

Monthly traffic trend

  • 2026/1: 36.3M Monthly visits
  • 2026/2: 28.7M Monthly visits
  • 2026/3: 36.2M Monthly visits
  • 2026/4: 34M Monthly visits
  • 2026/5: 39M Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States46.74%18.2M
🇮🇳India18.69%7.3M
🇨🇳China14.27%5.6M
🇷🇺Russia10.48%4.1M
🇩🇪Germany9.82%3.8M

Traffic sources

Source typePercentageTraffic
Direct72.2%28.2M
Referral23.79%9.3M
Email4.01%1.6M

Search keywords

geforce experiencegeforce nownvidianvidia appnvidia drivers
Traffic-based selection guidance: NVIDIA is registered under a www.nvidia.com subpath, so its large visible total may include the host platform. The current data does not justify choosing NVIDIA for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.

Usage comparison

Compare the core capabilities of Nebius and NVIDIA

Nebius Core features

Machine Learning
Cloud Computing
Gpu

NVIDIA Core features

Infrastructure
Computing
3D
Science

Use cases

Nebius Use cases

data center
GPU
HPC
llm
machine learning
AI infrastructure
cloud computing
inference
kubernetes
model training
NVIDIA
slurm

NVIDIA Use cases

data center
GPU
HPC
llm
machine learning
AI hardware
autonomous vehicles
CUDA
deep learning
digital twin
gaming
generative AI
Omniverse
ray tracing
robotics

Nebius vs NVIDIA:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Nebius vs NVIDIA comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Nebius is primarily listed under “Machine Learning”, while NVIDIA is primarily listed under “Infrastructure”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Nebius: Machine Learning; NVIDIA: Infrastructure); Pricing (Nebius: Paid; NVIDIA: Freemium); Monthly visits (Nebius: 677.5K; NVIDIA: 39M); Monthly growth (Nebius: 14.8%; NVIDIA: 14.9%); Favorites (Nebius: 91; NVIDIA: 89). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Nebius vs NVIDIA monthly traffic comparison, Nebius currently shows 677.5K visits and NVIDIA shows 39M; NVIDIA has about 57.6 times the visible traffic of Nebius, an absolute difference of about 38.3M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

NVIDIA is registered at the www.nvidia.com/en-us subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.

NVIDIA is registered under a www.nvidia.com subpath, so its large visible total may include the host platform. The current data does not justify choosing NVIDIA for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.

Product positioning, use cases, and roles

Nebius and NVIDIA currently overlap in shared tags: data center, GPU, HPC, llm, and machine learning. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Nebius's unique categories/tags are Machine Learning, Cloud Computing, Gpu, AI infrastructure, cloud computing, inference, kubernetes, and model training; NVIDIA's are Infrastructure, Computing, 3D, Science, AI hardware, autonomous vehicles, CUDA, and deep learning. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Nebius has no verified rating, 0 comments, 91 favorites, and 87 likes;NVIDIA has no verified rating, 0 comments, 89 favorites, and 86 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Nebius first

Put Nebius on the priority trial list when the task aligns with “Machine Learning” and especially Machine Learning, Cloud Computing, Gpu, AI infrastructure, cloud computing, and inference. This follows recorded positioning and does not imply unlisted capabilities are absent.

Nebius also currently records: pricing is paid, product type is website, 677.5K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate NVIDIA first

Put NVIDIA on the priority trial list when the task aligns with “Infrastructure” and especially Infrastructure, Computing, 3D, Science, AI hardware, and autonomous vehicles. This follows recorded positioning and does not imply unlisted capabilities are absent.

NVIDIA also currently records: pricing is freemium, product type is website, 39M monthly visits shown for the registered host (subpage scope unknown), no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Nebius and NVIDIA, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Comparison FAQ

How should I choose between Nebius and NVIDIA?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

Related AI tools

GreenNode
Paid

GreenNode

GreenNode is a one-stop AI cloud infrastructure provider, offering high-performance NVIDIA GPU solutions for startups and enterprises. It provides instant access to cutting-edge resources like H100 GPUs, scalable infrastructure, and expert AI Lab support. Focused on cost-effectiveness and performance, GreenNode helps accelerate model training, fine-tuning, and inference, with a strong presence in Southeast Asia.

Model Training
Visits 21.7KFavorites 93Likes 117
Anyscale
Freemium

Anyscale

Anyscale is a fully-managed compute platform for scaling AI and Python workloads. Built on the open-source Ray framework by its original creators, it empowers developers to build, run, and scale distributed applications, from LLM training to data processing, with optimized performance and cost-efficiency on any cloud.

Mlops
Visits 76.3KFavorites 98Likes 110
HIVE Digital Technologies
Paid

HIVE Digital Technologies

HIVE Digital Technologies is a global leader in building and operating cutting-edge, green energy-powered data centers. It provides high-performance computing (HPC) and GPU cloud infrastructure for AI solutions, alongside its large-scale Bitcoin mining operations, focusing on sustainability and data sovereignty.

Hpc
Visits 33.8KFavorites 94Likes 109
GPUX
Paid

GPUX

GPUX is a serverless, decentralized GPU cloud platform for fast and affordable AI model inference. It allows developers to run models via API and enables GPU owners to earn money by contributing their hardware to a P2P network.

Model Deployment
Visits 4.6KFavorites 112Likes 110
Together AI
Freemium

Together AI

Together AI is a leading cloud platform for developers, providing fast, cost-effective infrastructure to run, fine-tune, and train open-source generative AI models. It offers an extensive library of over 200 models, serverless inference APIs, customizable fine-tuning, and dedicated GPU clusters, creating an end-to-end solution for building and scaling AI applications.

Gpu Infrastructure
Visits 759.8KFavorites 103Likes 91
Vast.ai
Paid

Vast.ai

Vast.ai is a leading GPU cloud platform offering on-demand access to a vast network of GPUs for AI and machine learning workloads. It provides developers and enterprises with high-performance computing at significantly lower costs—up to 80% less than traditional cloud providers—through a transparent, pay-as-you-go marketplace.

Gpu Rental
Visits 1.4MFavorites 110Likes 106
Fluidstack
Paid

Fluidstack

Fluidstack is a leading AI cloud platform providing high-performance, dedicated GPU clusters for training and serving frontier AI models. It offers rapid deployment of thousands of GPUs, fully managed services with 24/7 expert support, and transparent pricing with zero egress fees, empowering AI teams to scale without infrastructure friction.

Enterprise Solutions
Visits 105.8KFavorites 96Likes 93
thundercompute
Paid

thundercompute

Thunder Compute offers an ultra-low-cost GPU cloud platform designed for AI and machine learning developers. It provides on-demand GPU instances like the NVIDIA A100 and T4 at prices up to 80% lower than major cloud providers. With features like one-click setup, VS Code integration, and seamless scalability, it dramatically simplifies the development workflow, from prototyping to production, allowing developers to focus on building models rather than managing infrastructure.

Machine Learning
Visits 98.5KFavorites 116Likes 148
Nebius
Paid

Nebius

Nebius is a high-performance cloud platform specifically engineered for demanding AI and Machine Learning workloads. It provides scalable access to the latest NVIDIA GPUs, from single instances to massive clusters, complemented by a suite of managed services and an integrated AI Studio to streamline the entire ML lifecycle from training to inference.

Gpu Cloud
Visits 5.9KFavorites 107Likes 112
Juice
Freemium

Juice

Juice is a software-only platform that enables GPU-over-IP, allowing you to access, share, and pool GPU resources across any standard network. It decouples GPUs from physical machines, turning any CPU node into a GPU-accelerated system on demand, optimizing utilization and significantly reducing costs for AI and graphics workloads without code changes.

Gpu Virtualization
Visits 4.7KFavorites 105Likes 116
HIVE Digital Technologies

HIVE Digital Technologies

HIVE Digital Technologies is a global leader in sustainable data center infrastructure, specializing in both large-scale Bitcoin mining and providing High-Performance Computing (HPC) for AI applications. Leveraging a fleet of NVIDIA GPUs, HIVE powers transformative technologies with efficient, green energy from its geographically diversified data centers in Canada, Sweden, and Paraguay.

Machine Learning Infrastructure
Visits 3.6KFavorites 97Likes 95
ApX Machine Learning
Freemium

ApX Machine Learning

ApX Machine Learning is an educational platform for AI engineers and students, providing practical courses, in-depth guides, and tools like a VRAM calculator. It focuses on bridging the gap between AI theory and real-world application, covering everything from LLM construction to hardware requirements.

Resource
Visits 359KFavorites 102Likes 97
Augmented Startups
Freemium

Augmented Startups

Augmented Startups is an online AI university offering practical, project-based courses for all skill levels. It specializes in advanced topics like Computer Vision, Large Language Models (LLMs), Robotics, and Autonomous Vehicles. The platform provides comprehensive learning paths with code, datasets, and expert support to help students and professionals build real-world AI applications and bridge the gap between theory and practical implementation.

Code Libraries
Visits 22.8KFavorites 99Likes 119
Inferless
Freemium

Inferless

Inferless is a serverless GPU platform designed for developers to deploy machine learning models in minutes. It eliminates infrastructure management, offering automatic scaling from zero to handle spiky workloads. The platform is optimized for lightning-fast cold starts and cost-efficiency, allowing users to save up to 90% on GPU bills by paying only for what they use.

Machine Learning Deployment
Visits 12KFavorites 109Likes 113
PostgresML
Freemium

PostgresML

PostgresML is a powerful open-source extension that integrates machine learning and AI directly into your PostgreSQL database. It enables GPU-accelerated inference, vector search, and complete RAG pipelines using simple SQL commands, eliminating data movement and simplifying the MLOps stack for high-performance, scalable AI applications.

Mlops
Visits 3.6KFavorites 118Likes 110