# BrainHost vs FluidStack

BrainHost records 3,517 monthly visits with -58.6% month-over-month growth and Paid pricing. FluidStack records 154,620 monthly visits with +7.3% growth and Paid, Contact for Pricing pricing.

| Metric | [BrainHost](https://openaitools.app/tool/brainhost) | [FluidStack](https://openaitools.app/tool/fluidstack) |
| :--- | :--- | :--- |
| Website URL | https://brainhost.ai | https://fluidstack.io |
| Categories | Other | AI Developer Tools, AI Models, Large Language Models (LLMs) |
| Pricing Model | Paid | Paid, Contact for Pricing |
| Monthly Visits | 3,517 | 154,620 |
| MoM Growth Rate | -58.6% | +7.3% |
| Primary Market | United States | United States |
| Direct Visits | 1,385 | 47,869 |
| Review Score | 4.1 | 4.4 |
| Saved Count | 0 | 1 |
| Supported Platforms | Website | Website |

## BrainHost

BrainHost is a cloud infrastructure provider that focuses on high-performance KVM virtual private servers. Instead of shared hosting constrained by noisy neighbors, it hands customers fully isolated virtual machines with dedicated resources, full root access, and NVMe-backed storage for consistently fast disk I/O. Setup is automated, so a new server is typically online within one to five minutes without manual intervention.

The platform is organized around regions. Its live footprint includes a US-West data center tuned for North American latency and a Hong Kong location engineered for Asia-Pacific traffic with optimized routes toward mainland China. Additional regions in Tokyo, Singapore, Frankfurt and London are listed as under construction, signaling ongoing expansion. Multi-line BGP routing and premium carrier connectivity are used to keep international latency stable.

Day-to-day management happens through a browser-based control panel that exposes a console, one-click OS reinstalls across a range of Linux distributions, rescue mode, snapshots and real-time resource graphs. Security basics, including DDoS mitigation, IPv4/IPv6 addressing and firewall tooling, are included by default, letting teams stand up websites, SaaS backends, APIs and other production workloads without managing the underlying hardware.

**Pricing & Plans:** Paid monthly or yearly VPS plans (yearly billing offers roughly two months free). US-West entry plans start around $7.99/month, with higher tiers adding vCPU, RAM, NVMe storage and bandwidth. Exact regional pricing varies by location and configuration.

- **KVM virtualization with NVMe storage:** Each server runs as a fully isolated KVM virtual machine with dedicated resources and NVMe SSDs for low-latency disk I/O.
- **Regions for global reach:** Deploy in US-West or Hong Kong, with Tokyo, Singapore, Frankfurt and London regions listed as under construction.
- **Instant automated provisioning:** New servers come online in about one to five minutes through automated deployment and instant activation.
- **Modern control panel:** Browser console access, one-click OS reinstall across many Linux distributions, rescue mode, snapshots and live usage graphs.
- **Built-in security and networking:** DDoS protection, firewall configuration, and dedicated IPv4 and IPv6 addressing included with every plan.

**Strengths:** Instant automated deployment, often within minutes; NVMe storage and KVM isolation for reliable performance; Multiple geographic regions including US-West and Hong Kong; DDoS protection, root access and IPv4/IPv6 included by default

**Limitations:** Some advertised regions are still under construction; No fully free plan; entry pricing starts around $7.99/month; Requires some server administration knowledge to get the most out of it

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

## 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)

## Frequently Asked Questions

### How do BrainHost and FluidStack compare in monthly traffic?

BrainHost has 3,517 monthly visits, while FluidStack has 154,620. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BrainHost has a month-over-month growth rate of -58.6%; FluidStack has +7.3%.

### How does pricing compare?

BrainHost: Paid. Paid monthly or yearly VPS plans (yearly billing offers roughly two months free). US-West entry plans start around $7.99/month, with higher tiers adding vCPU, RAM, NVMe storage and bandwidth. Exact regional pricing varies by location and configuration. 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Hostinger AI Website Builder & Hosting](https://openaitools.app/tool/hostinger-1-click-openclaw) | 54,534,226 | +3.9% | Paid | AI-powered web hosting platform combining prompt-based website building with one-click managed OpenClaw agent deployments. | [.md](https://openaitools.app/tool/hostinger-1-click-openclaw.md) |
| 2 | [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) |
| 3 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | Offers flexible on-demand GPU rentals and serverless endpoints, but lacks FluidStack's ultra-scale enterprise GPU clusters. | [.md](https://openaitools.app/tool/runpod.md) |
| 4 | [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) |
| 5 | [Vast.ai](https://openaitools.app/tool/vast-ai) | 1,257,554 | +2.8% | Paid | Delivers peer-to-peer GPU rental marketplaces for lower-cost experimentation, though with less enterprise infrastructure predictability. | [.md](https://openaitools.app/tool/vast-ai.md) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/brainhost-vs-fluidstack

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