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.
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.
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.
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.
| Feature | Juice | Nebius |
|---|---|---|
| Primary category | Gpu Virtualization | Machine Learning |
| Added | 2025-08-11 | 2025-08-02 |
| Pricing | Freemium | Paid |
| Official website | www.juicelabs.co | nebius.com |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 320 | 677.5K |
| Monthly growth | -90% | 14.8% |
| Favorites | 111 | 97 |
| Details | View details | View details |
Compare Juice and Nebius by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
In the Juice vs Nebius monthly traffic comparison, Juice currently shows 320 visits and Nebius shows 677.5K; Nebius has about 2,117.3 times the visible traffic of Juice, an absolute difference of about 677.2K 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.
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇻🇳Vietnam | 64.68% | 207 |
| 🇺🇸United States | 35.32% | 113 |
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 60.28% | 408.4K |
| 🇳🇱Netherlands | 14.35% | 97.2K |
| 🇩🇪Germany | 10.4% | 70.5K |
| 🇬🇧United Kingdom | 9.39% | 63.6K |
| 🇷🇺Russia | 5.58% | 37.8K |
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 77.96% | 528.2K |
| Referral | 18.93% | 128.3K |
| 3.11% | 21.1K |
This in-depth Juice vs Nebius comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Juice is primarily listed under “Gpu Virtualization”, while Nebius is primarily listed under “Machine Learning”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Juice: Gpu Virtualization; Nebius: Machine Learning); Pricing (Juice: Freemium; Nebius: Paid); Monthly visits (Juice: 320; Nebius: 677.5K); Monthly growth (Juice: -90%; Nebius: 14.8%); Favorites (Juice: 111; Nebius: 97). These facts are more useful for selection than brand visibility alone.
In the Juice vs Nebius monthly traffic comparison, Juice currently shows 320 visits and Nebius shows 677.5K; Nebius has about 2,117.3 times the visible traffic of Juice, an absolute difference of about 677.2K 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.
If public market visibility is an important first-pass criterion, investigate Nebius first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Juice and Nebius currently overlap in shared categories: Cloud Computing; shared tags: AI infrastructure, cloud computing, HPC, and machine learning. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Juice's unique categories/tags are Gpu Virtualization, Resource Management, cost optimization, deep learning, GPU over IP, GPU sharing, GPU virtualization, and high performance computing; Nebius's are Machine Learning, Gpu, data center, GPU, inference, kubernetes, llm, and model training. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
Juice has no verified rating, 0 comments, 111 favorites, and 121 likes；Nebius has no verified rating, 0 comments, 97 favorites, and 94 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Put Juice on the priority trial list when the task aligns with “Gpu Virtualization” and especially Gpu Virtualization, Resource Management, cost optimization, deep learning, GPU over IP, and GPU sharing. This follows recorded positioning and does not imply unlisted capabilities are absent.
Juice also currently records: pricing is freemium, product type is website, 320 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.
Put Nebius on the priority trial list when the task aligns with “Machine Learning” and especially Machine Learning, Gpu, data center, GPU, inference, and kubernetes. 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.
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 Juice and Nebius, 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.
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
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
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
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
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
Cirrascale provides high-performance, dedicated GPU cloud services tailored for large-scale AI, deep learning, and High-Performance Computing (HPC). It offers access to the latest NVIDIA GPU hardware and scalable infrastructure, enabling organizations to train massive models and run complex computational workloads efficiently.
Model Training
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
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.
Infrastructure
NeocloudX is an innovative marketplace that commoditizes GPU compute capacity, allowing users to buy, sell, and trade high-performance computing resources like NVIDIA H100 SXM GPUs at true market rates. It offers instant access to bare metal performance via a browser-based console, enabling significant cost savings compared to traditional cloud providers.
Machine Learning Infrastructure
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
Gmi Cloud is a high-performance GPU cloud platform designed for scalable AI training and inference. It provides on-demand access to top-tier NVIDIA GPUs, an optimized inference engine for low latency, and a cluster engine for streamlined MLOps, enabling developers and enterprises to build, deploy, and scale AI applications efficiently and cost-effectively.
Mlops
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
Hewlett Packard Enterprise (HPE) is a global edge-to-cloud company providing comprehensive AI, hybrid cloud, networking, and data solutions for enterprises. Through its HPE GreenLake platform, strategic partnerships with leaders like NVIDIA, and a robust portfolio of hardware and services, HPE empowers organizations to accelerate innovation, optimize operations, and transform data into actionable insights.
Enterprisesolutions
Modal is a high-performance, serverless infrastructure platform for AI and ML developers. It allows you to run Python functions in the cloud with a single line of code, providing instant access to GPUs, automatic scaling from zero to thousands of containers, and pay-per-second pricing. Eliminate infrastructure overhead and focus on building and deploying compute-intensive applications like generative AI, batch processing, and data analysis.
Model Deployment
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
