# FluidStack vs MyClaw

FluidStack records 154,620 monthly visits with +7.3% month-over-month growth and Paid, Contact for Pricing pricing. MyClaw records 990,387 monthly visits with -23.8% growth and Paid pricing.

| Metric | [FluidStack](https://openaitools.app/tool/fluidstack) | [MyClaw](https://openaitools.app/tool/myclaw) |
| :--- | :--- | :--- |
| Website URL | https://fluidstack.io | https://myclaw.ai |
| Categories | AI Developer Tools, AI Models, Large Language Models (LLMs) | AI Assistant, AI Agent, Open Source AI Models, AI Productivity Tools |
| Pricing Model | Paid, Contact for Pricing | Paid |
| Monthly Visits | 154,620 | 990,387 |
| MoM Growth Rate | +7.3% | -23.8% |
| Primary Market | United States | United States |
| Direct Visits | 47,869 | 80,088 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 1 | 1 |
| 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)

## MyClaw

MyClaw targets people who want the power of an autonomous assistant without maintaining the infrastructure behind it. Instead of installing and babysitting an OpenClaw or Hermes agent on your own machine, MyClaw provisions a private cloud computer for that agent, keeps it running around the clock, applies updates and takes daily backups. The pitch is simple: hand over real work, and the agent signs into your tools, uses them the way you would, and comes back with results.

Each plan is built around a credit bundle combined with hardware resources. The Pro tier starts with 4,000 credits per month, 4 vCPU cores, 8 GB RAM, 80 GB SSD and 5 TB of monthly traffic; Max doubles most of that; ULTRA scales further for high-volume workloads. All tiers include always-on uptime, auto-updates, daily backups, encryption and access to research, web app building, document creation, scheduling and custom skill integrations. Annual billing reduces the effective monthly price.

MyClaw is operated by Cubo World Inc. and also offers hosting for the Hermes agent runtime and Slack integration. Because the agent runs in the provider's cloud rather than on hardware you own, the main trade-off is trust and ongoing subscription cost versus the convenience of never managing a server.

**Pricing & Plans:** Paid subscription only, billed monthly or annually (annual saves about 17%). Tiers: Pro at roughly $17/month billed yearly ($20 monthly), Max around $34/month yearly ($40 monthly), and ULTRA near $167/month yearly ($200 monthly). Each tier bundles monthly credits with a dedicated cloud computer spec.

- **Always-on private cloud computer:** Your agent runs continuously on its own isolated cloud machine with automatic updates, maintenance and daily backups, so it never needs your laptop to be open.
- **Zero-DevOps OpenClaw hosting:** Deploy an assistant that can research, build websites and web apps, produce documents, slides and spreadsheets, and run scheduled tasks without DevOps work on your side.
- **Credit-based scalable plans:** Choose from Pro, Max and ULTRA tiers with allocated credits, vCPU cores, RAM, SSD storage and monthly traffic to match how heavily you automate.
- **Skills and tool integrations:** Add external services and let the agent sign in to your tools and carry work through end to end, from gathering information to delivering finished output.
- **Private, encrypted instances:** Each instance is private and encrypted with isolated storage and traffic allowances, and you can cancel at any time.

**Strengths:** Removes all server setup and maintenance for an OpenClaw-style agent; True 24/7 availability independent of your own device; Clear tiering of credits and hardware so you can scale with usage; Includes automatic updates, daily backups and encrypted private instances

**Limitations:** No permanent free tier; you must pay a monthly subscription after any trial; Works best when you already understand what OpenClaw-style agents can and can't do; Heavy automation and high agent usage burn through monthly credits quickly; Running an agent on a cloud computer means your personal accounts/workflows are connected to a hosted service, so trust in the provider matters

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

## Frequently Asked Questions

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

FluidStack has 154,620 monthly visits, while MyClaw has 990,387. 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%; MyClaw has -23.8%.

### 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. MyClaw: Paid. Paid subscription only, billed monthly or annually (annual saves about 17%). Tiers: Pro at roughly $17/month billed yearly ($20 monthly), Max around $34/month yearly ($40 monthly), and ULTRA near $167/month yearly ($200 monthly). Each tier bundles monthly credits with a dedicated cloud computer spec.

## 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 | Combines standard VPS hosting with one-click OpenClaw agent deployment for greater server-level control. | [.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/fluidstack-vs-myclaw

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)