GreenNode est un fournisseur d'infrastructure cloud IA tout-en-un, offrant des solutions GPU NVIDIA haute performance pour les startups et les entreprises. Il fournit un accès instantané à des ressources de pointe comme les GPU H100, une infrastructure évolutive et le soutien d'experts de l'AI Lab. Axé sur la rentabilité et la performance, GreenNode aide à accélérer l'entraînement, l'ajustement fin et l'inférence des modèles, avec une forte présence en Asie du Sud-Est.
Juice est une plateforme logicielle uniquement qui active le GPU-sur-IP, vous permettant d'accéder, de partager et de mutualiser les ressources GPU sur n'importe quel réseau standard. Il découple les GPU des machines physiques, transformant n'importe quel nœud CPU en un système accéléré par GPU à la demande, optimisant l'utilisation et réduisant considérablement les coûts pour les charges de travail d'IA et graphiques sans modification de code.
Aperçu du produit
GreenNode Aperçu du produit
GreenNode est un fournisseur d'infrastructure cloud IA tout-en-un, offrant des solutions GPU NVIDIA haute performance pour les startups et les entreprises. Il fournit un accès instantané à des ressources de pointe comme les GPU H100, une infrastructure évolutive et le soutien d'experts de l'AI Lab. Axé sur la rentabilité et la performance, GreenNode aide à accélérer l'entraînement, l'ajustement fin et l'inférence des modèles, avec une forte présence en Asie du Sud-Est.
Juice Aperçu du produit
Juice est une plateforme logicielle uniquement qui active le GPU-sur-IP, vous permettant d'accéder, de partager et de mutualiser les ressources GPU sur n'importe quel réseau standard. Il découple les GPU des machines physiques, transformant n'importe quel nœud CPU en un système accéléré par GPU à la demande, optimisant l'utilisation et réduisant considérablement les coûts pour les charges de travail d'IA et graphiques sans modification de code.
Detailed feature comparison
| Feature | GreenNode | Juice |
|---|---|---|
| Catégorie principale | Entraînement de modèle | Virtualisation GPU |
| Ajouté | 2025-08-08 | 2025-08-11 |
| Tarification | Payant | Freemium |
| Site officiel | greennode.ai | www.juicelabs.co |
| Type de produit | Site web | Site web |
| Performance data | ||
| Note utilisateur | Non vérifié | Non vérifié |
| Commentaires | 0 | 0 |
| Visites mensuelles | 18.1K | 320 |
| Croissance mensuelle | -2.6% | -90% |
| Favoris | 93 | 104 |
| Details | Voir les détails | Voir les détails |
GreenNode vs Juice monthly traffic
Compare GreenNode and Juice by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the GreenNode vs Juice monthly traffic comparison, GreenNode currently shows 18.1K visits and Juice shows 320; GreenNode has about 56.6 times the visible traffic of Juice, an absolute difference of about 17.8K 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.
GreenNode monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 6.2K Visites mensuelles
- 2026/1: 15.3K Visites mensuelles
- 2026/2: 11.6K Visites mensuelles
- 2026/3: 22.1K Visites mensuelles
- 2026/4: 18.6K Visites mensuelles
- 2026/5: 18.1K Visites mensuelles
Principales régions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇻🇳Vietnam | 44.55% | 8.1K |
| 🇺🇸United States | 31.46% | 5.7K |
| 🇮🇳India | 11.16% | 2K |
| 🇩🇪Germany | 7.2% | 1.3K |
| 🇸🇬Singapore | 5.63% | 1K |
Sources de trafic
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 99.21% | 18K |
| Référence | 0.79% | 143 |
Mots-clés
Juice monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 5.7K Visites mensuelles
- 2026/1: 4.1K Visites mensuelles
- 2026/2: 3K Visites mensuelles
- 2026/3: 2.7K Visites mensuelles
- 2026/4: 3.2K Visites mensuelles
- 2026/5: 320 Visites mensuelles
Principales régions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇻🇳Vietnam | 64.68% | 207 |
| 🇺🇸United States | 35.32% | 113 |
Mots-clés
Usage comparison
Compare the core capabilities of GreenNode and Juice
GreenNode Core features
Juice Core features
Use cases
GreenNode Use cases
Juice Use cases
GreenNode vs Juice:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth GreenNode vs Juice comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. GreenNode is primarily listed under “Entraînement de modèle”, while Juice is primarily listed under “Virtualisation GPU”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (GreenNode: Entraînement de modèle; Juice: Virtualisation GPU); Pricing (GreenNode: Paid; Juice: Freemium); Monthly visits (GreenNode: 18.1K; Juice: 320); Monthly growth (GreenNode: -2.6%; Juice: -90%); Favorites (GreenNode: 93; Juice: 104). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the GreenNode vs Juice monthly traffic comparison, GreenNode currently shows 18.1K visits and Juice shows 320; GreenNode has about 56.6 times the visible traffic of Juice, an absolute difference of about 17.8K 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 GreenNode 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.
Product positioning, use cases, and roles
GreenNode and Juice currently overlap in shared categories: Cloud Computing; shared tags: Infrastructure d'IA, informatique en nuage, Apprentissage profond, HPC et apprentissage automatique. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
GreenNode's unique categories/tags are Entraînement de modèle, Location de GPU, Startup d'IA, Entraînement distribué, Cloud GPU, Inférence, Grand modèle linguistique et NVIDIA H100; Juice's are Virtualisation GPU, Gestion des ressources, Optimisation des coûts, GPU sur IP, Partage de GPU, calcul haute performance, GPU à distance et gestion des ressources. 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
GreenNode has no verified rating, 0 comments, 93 favorites, and 114 likes;Juice has no verified rating, 0 comments, 104 favorites, and 115 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate GreenNode first
Put GreenNode on the priority trial list when the task aligns with “Entraînement de modèle” and especially Entraînement de modèle, Location de GPU, Startup d'IA, Entraînement distribué, Cloud GPU et Inférence. This follows recorded positioning and does not imply unlisted capabilities are absent.
GreenNode also currently records: pricing is paid, product type is website, 18.1K 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 Juice first
Put Juice on the priority trial list when the task aligns with “Virtualisation GPU” and especially Virtualisation GPU, Gestion des ressources, Optimisation des coûts, GPU sur IP, Partage de GPU et calcul haute performance. 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.
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 GreenNode and Juice, 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.




