# FluidStack vs HIVE Digital Technologies

FluidStack records 154,620 monthly visits with +7.3% month-over-month growth and Paid, Contact for Pricing pricing. HIVE Digital Technologies records 0 monthly visits with 0% growth and Paid pricing.

| Metric | [FluidStack](https://openaitools.app/tool/fluidstack) | [HIVE Digital Technologies](https://openaitools.app/tool/hiveblockchain-com) |
| :--- | :--- | :--- |
| Website URL | https://fluidstack.io | https://hiveblockchain.com |
| Categories | AI Developer Tools, AI Models, Large Language Models (LLMs) | AI Crypto, Blockchain |
| Pricing Model | Paid, Contact for Pricing | Paid |
| Monthly Visits | 154,620 | 0 |
| MoM Growth Rate | +7.3% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 47,869 | 0 |
| Review Score | 4.4 | 4.2 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## FluidStack

FluidStack is an AI compute provider that builds the physical layer underneath frontier model work: data centers, power, cooling and very large GPU clusters. Its public positioning is deliberately infrastructural rather than product-led — it describes building gigawatt-scale compute, bringing new sites online in months, and operating tens of millions of accelerators reliably. For teams training or serving large models, that translates into reserved, single-tenant-class capacity that is provisioned and operated for you rather than an instant, self-serve VM catalogue.

A distinguishing theme is the pairing of power and compute. FluidStack writes about redesigning compute and power infrastructure from first principles, developing off-grid solar to supply clusters, and using closed-loop cooling that fills tanks once and recirculates water indefinitely. It also emphasises building in the United States with onshored manufacturing, framing infrastructure ownership as a strategic question about which values shape the technology being built. For AI organisations, these are increasingly relevant because energy availability, not chip supply alone, is the binding constraint on scaling.

If you need a small number of GPUs for a day, FluidStack is probably not the fastest route; capacity is engaged at enterprise scale through a sales process. If you are planning a multi-month training run or a production inference fleet and want dedicated, purpose-built infrastructure with managed operations, it is a strong candidate to evaluate alongside the major hyperscalers and specialised GPU clouds.

**Pricing & Plans:** Enterprise and contact-for-pricing. FluidStack does not publish per-GPU-hour rates or a self-serve sign-up on its website; capacity is scoped and quoted through a direct sales conversation based on cluster size, duration and hardware. Catalogue listings classify it as a paid product requiring contact for pricing.

- **Datacenter-scale compute built in-house:** FluidStack designs and builds large AI data centers, including high-density campuses with significant per-site power capacity, rather than reselling capacity from other clouds.
- **GPU clusters for training and inference:** Clusters are architected for large-scale model training and inference, with high-bandwidth interconnect and orchestration suitable for distributed workloads.
- **Power and cooling engineered together:** The company develops off-grid solar and recirculating closed-loop cooling, treating power and water efficiency as core engineering problems.
- **Managed operations and reliability:** Smart hands, cluster provisioning and operations support let research teams focus on models while FluidStack runs the physical and orchestration layers.
- **US-built and onshored supply chain:** Data centers are built in the United States with onshored manufacturing of compute and power infrastructure, a deliberate supply-chain and sovereignty choice.

**Strengths:** Purpose-built AI infrastructure rather than generic cloud resale; Power, cooling and data center design handled in-house, which matters at scale; Managed provisioning and operations for large training and inference clusters; Explicit positioning on US-built, onshored infrastructure

**Limitations:** No published self-serve pricing or instant sign-up; access requires a sales conversation; Enterprise-scale focus means very small individual workloads may not be a fit; Capacity is concentrated in US locations, which may matter for latency-sensitive or data-residency-bound teams

[Profile (Markdown)](https://openaitools.app/tool/fluidstack.md)

## HIVE Digital Technologies

HIVE Digital Technologies, formerly reachable at hiveblockchain.com, is a publicly listed company that builds and runs data centers powered primarily by clean energy. Its footprint spans approximately 440 MW of active capacity across Canada, Sweden, and Paraguay, with hydroelectricity as the main power source. The company has been building infrastructure since 2017.

The business runs on two engines from one power base. Hashrate services, essentially Bitcoin mining, generate cash flow. That cash flow helps fund BUZZ HPC, HIVE's GPU-accelerated computing arm aimed at AI workloads. In practice this gives HIVE a hedge: it owns the power and the data center shell, and can point the compute at whichever demand is stronger, mining or AI inference and training.

On the technical side, HIVE describes building Tier I data centers that use a single power and cooling path for efficient compute at scale, then upgrading them to Tier III with redundant power and cooling for enterprise AI customers. The company is an original signatory of Canada's Responsible Data Centre Development Principles. Note that HIVE states it does not offer financial services or direct investment opportunities to the public, and warns that impersonators have used its name, so only content on its official domains should be trusted.

**Pricing & Plans:** Not a self-serve software product; HIVE is a publicly listed infrastructure and compute provider. Hashrate and HPC services are arranged through business engagement.

- **Clean-energy data centers:** Approximately 440 MW of active data center capacity across Canada, Sweden, and Paraguay, powered primarily by hydroelectricity.
- **Hashrate services:** Bitcoin mining operations that generate cash flow used partly to fund the company's AI infrastructure buildout.
- **BUZZ HPC AI infrastructure:** BUZZ HPC provides GPU-accelerated compute for AI workloads, backed by the same power and data center base.
- **Tier I to Tier III buildout:** Builds Tier I data centers using a single power and cooling path for efficient compute, then upgrades them to Tier III with redundant power and cooling for enterprise AI.
- **Operating track record:** Operating since 2017 across three continents, with a stated focus on sustainable compute and community engagement.

**Strengths:** Clean hydroelectric power underpins a large share of capacity; Dual revenue engines across mining and AI compute; Substantial scale at roughly 440 MW across three continents; Building since 2017 with public reporting as a listed company

**Limitations:** It is a publicly listed mining and infrastructure company, so exposure carries crypto and equity market volatility; The site is investor-oriented, not a self-serve product for individuals; Revenue still depends substantially on Bitcoin economics; Energy prices and regulatory shifts across three countries affect operations

[Profile (Markdown)](https://openaitools.app/tool/hiveblockchain-com.md)

## Frequently Asked Questions

### How do FluidStack and HIVE Digital Technologies compare in monthly traffic?

FluidStack has 154,620 monthly visits, while HIVE Digital Technologies has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

FluidStack has a month-over-month growth rate of +7.3%; HIVE Digital Technologies has 0%.

### How does pricing compare?

FluidStack: Paid, Contact for Pricing. Enterprise and contact-for-pricing. FluidStack does not publish per-GPU-hour rates or a self-serve sign-up on its website; capacity is scoped and quoted through a direct sales conversation based on cluster size, duration and hardware. Catalogue listings classify it as a paid product requiring contact for pricing. HIVE Digital Technologies: Paid. Not a self-serve software product; HIVE is a publicly listed infrastructure and compute provider. Hashrate and HPC services are arranged through business engagement.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Delivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 2 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.md) |
| 3 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Focuses on optimized serverless inference APIs and managed model hosting rather than raw cluster rentals. | [.md](https://openaitools.app/tool/together-ai.md) |
| 4 | [Vast.ai](https://openaitools.app/tool/vast-ai) | 1,257,554 | +2.8% | Paid | Rent cloud GPUs by the second from a global marketplace | [.md](https://openaitools.app/tool/vast-ai.md) |
| 5 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Provides serverless Python container execution for cloud jobs, but lacks raw multi-node cluster provisioning controls. | [.md](https://openaitools.app/tool/modal-com.md) |
| 6 | [Nebius](https://openaitools.app/tool/nebius) | 1,145,711 | +10.7% | Paid, Contact for Pricing | Provides dedicated NVIDIA GPU clusters and managed cloud infrastructure, competing directly on enterprise-grade training workloads. | [.md](https://openaitools.app/tool/nebius.md) |
| 7 | [Salad](https://openaitools.app/tool/salad-gpu-cloud) | 713,519 | +10.4% | Free Trial, Paid, Contact for Pricing | Distributed GPU cloud that orchestrates the world's idle consumer GPUs | [.md](https://openaitools.app/tool/salad-gpu-cloud.md) |
| 8 | [Cerebras](https://openaitools.app/tool/cerebras) | 701,013 | -12.6% | Contact for Pricing | Utilizes proprietary wafer-scale processors for extreme training speeds, differing from standard NVIDIA GPU cluster setups. | [.md](https://openaitools.app/tool/cerebras.md) |
| 9 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Specializes in cost-effective serverless API inference for open-weights models instead of raw infrastructure rentals. | [.md](https://openaitools.app/tool/deep-infra.md) |
| 10 | [Lightning AI](https://openaitools.app/tool/lightning-ai) | 272,562 | -12.3% | Freemium, Paid, Contact for Pricing | The AI cloud built by the creators of PyTorch Lightning | [.md](https://openaitools.app/tool/lightning-ai.md) |

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Source: https://openaitools.app/compare/fluidstack-vs-hiveblockchain-com

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