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.
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.
Product overview
Fluidstack Product overview
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.
HIVE Digital Technologies Product overview
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.
Detailed feature comparison
| Feature | Fluidstack | HIVE Digital Technologies |
|---|---|---|
| Primary category | Enterprise Solutions | Hpc |
| Added | 2025-08-09 | 2025-08-09 |
| Pricing | Paid | Paid |
| Official website | www.fluidstack.io | www.hivedigitaltechnologies.com |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 101.4K | 30.3K |
| Monthly growth | 0.4% | 104% |
| Favorites | 95 | 93 |
| Details | View details | View details |
Fluidstack vs HIVE Digital Technologies monthly traffic
Compare Fluidstack and HIVE Digital Technologies by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Fluidstack vs HIVE Digital Technologies monthly traffic comparison, Fluidstack currently shows 101.4K visits and HIVE Digital Technologies shows 30.3K; Fluidstack has about 3.3 times the visible traffic of HIVE Digital Technologies, an absolute difference of about 71.1K 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.
Fluidstack monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 28.9K Monthly visits
- 2026/1: 91.6K Monthly visits
- 2026/2: 69.4K Monthly visits
- 2026/3: 95.5K Monthly visits
- 2026/4: 101K Monthly visits
- 2026/5: 101.4K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 87.31% | 88.5K |
| 🇬🇧United Kingdom | 6.99% | 7.1K |
| 🇮🇳India | 2.34% | 2.4K |
| 🇨🇦Canada | 1.75% | 1.8K |
| 🇻🇳Vietnam | 1.61% | 1.6K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 77.86% | 79K |
| Referral | 16.42% | 16.7K |
| 5.72% | 5.8K |
Search keywords
HIVE Digital Technologies monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 34.1K Monthly visits
- 2026/1: 24.3K Monthly visits
- 2026/2: 18.5K Monthly visits
- 2026/3: 20.2K Monthly visits
- 2026/4: 14.9K Monthly visits
- 2026/5: 30.3K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 52.36% | 15.9K |
| 🇨🇦Canada | 38.24% | 11.6K |
| 🇩🇪Germany | 4.26% | 1.3K |
| 🇮🇳India | 2.82% | 856 |
| 🇬🇧United Kingdom | 2.32% | 704 |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 91.46% | 27.8K |
| Referral | 6.5% | 2K |
| 2.04% | 619 |
Search keywords
Usage comparison
Compare the core capabilities of Fluidstack and HIVE Digital Technologies
Fluidstack Core features
HIVE Digital Technologies Core features
Use cases
Fluidstack Use cases
HIVE Digital Technologies Use cases
Fluidstack vs HIVE Digital Technologies:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Fluidstack vs HIVE Digital Technologies comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Fluidstack is primarily listed under “Enterprise Solutions”, while HIVE Digital Technologies is primarily listed under “Hpc”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Fluidstack: Enterprise Solutions; HIVE Digital Technologies: Hpc); Monthly visits (Fluidstack: 101.4K; HIVE Digital Technologies: 30.3K); Monthly growth (Fluidstack: 0.4%; HIVE Digital Technologies: 104%); Favorites (Fluidstack: 95; HIVE Digital Technologies: 93); Website (Fluidstack: www.fluidstack.io; HIVE Digital Technologies: www.hivedigitaltechnologies.com). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Fluidstack vs HIVE Digital Technologies monthly traffic comparison, Fluidstack currently shows 101.4K visits and HIVE Digital Technologies shows 30.3K; Fluidstack has about 3.3 times the visible traffic of HIVE Digital Technologies, an absolute difference of about 71.1K 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 Fluidstack 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
Fluidstack and HIVE Digital Technologies currently overlap in shared categories: Cloud Computing; shared tags: AI infrastructure, GPU cloud, and machine learning. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Fluidstack's unique categories/tags are Enterprise Solutions, Machine Learning, B200, cloud computing, deep learning, enterprise AI, H100, and high performance computing; HIVE Digital Technologies's are Hpc, Platform As A Service, Bitcoin mining, data center, green energy, HPC, NVIDIA, and sovereign cloud. 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
Fluidstack has no verified rating, 0 comments, 95 favorites, and 92 likes;HIVE Digital Technologies has no verified rating, 0 comments, 93 favorites, and 108 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Fluidstack first
Put Fluidstack on the priority trial list when the task aligns with “Enterprise Solutions” and especially Enterprise Solutions, Machine Learning, B200, cloud computing, deep learning, and enterprise AI. This follows recorded positioning and does not imply unlisted capabilities are absent.
Fluidstack also currently records: pricing is paid, product type is website, 101.4K 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 HIVE Digital Technologies first
Put HIVE Digital Technologies on the priority trial list when the task aligns with “Hpc” and especially Hpc, Platform As A Service, Bitcoin mining, data center, green energy, and HPC. This follows recorded positioning and does not imply unlisted capabilities are absent.
HIVE Digital Technologies also currently records: pricing is paid, product type is website, 30.3K 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 Fluidstack and HIVE Digital Technologies, 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 Fluidstack and HIVE Digital Technologies?
Where does this comparison data come from?
What do unknown fields mean?
Related AI tools

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
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
Nebius
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.
Machine Learning
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
Gmi Cloud
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
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
Cirrascale Cloud Services
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
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
massedcompute
Massed Compute is a cloud platform providing on-demand, high-performance NVIDIA GPUs and CPUs. It offers flexible, scalable, and affordable computing power for AI development, machine learning, and big data analysis without long-term contracts, targeting innovators and developers.
Machine Learning
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
HyperAI
HyperAI is a European-based, hyper-local GPU cloud platform designed to make enterprise-grade AI computing accessible. It offers high-performance NVIDIA A100 and H100 GPUs through flexible plans, including spot instances and dedicated servers. With a focus on low latency, data compliance, and a developer-friendly environment featuring a pre-installed Nvidia AI SDK, HyperAI empowers developers and businesses to build, train, and deploy complex AI models efficiently and securely.
Machine Learning
Hewlett Packard Enterprise (HPE)
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
NeocloudX
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
Paperspace
Paperspace is a high-performance cloud computing platform designed for AI and Machine Learning. It provides effortless access to powerful cloud GPUs, managed Jupyter notebooks, and a complete MLOps platform (Gradient) to build, train, and deploy models. Ideal for developers, data scientists, and enterprises looking to accelerate their AI workflows without the complexity of managing infrastructure.
Machine Learning
Predibase
Predibase is an end-to-end developer platform for efficiently fine-tuning and serving open-source Large Language Models (LLMs). It enables users to build custom AI models that outperform large proprietary models like GPT-4 on specific tasks, while significantly reducing costs and inference latency. The platform features advanced techniques like Reinforcement Fine-Tuning (RFT) and LoRAX for high-speed, multi-model serving.
Machine Learning



