# FluidStack vs Gorgias

FluidStack records 154,620 monthly visits with +7.3% month-over-month growth and Paid, Contact for Pricing pricing. Gorgias records 2,660,498 monthly visits with +2.4% growth and Contact for Pricing pricing.

| Metric | [FluidStack](https://openaitools.app/tool/fluidstack) | [Gorgias](https://openaitools.app/tool/gorgias) |
| :--- | :--- | :--- |
| Website URL | https://fluidstack.io | https://www.gorgias.com |
| Categories | AI Developer Tools, AI Models, Large Language Models (LLMs) | AI Agent, AI Customer Service, AI Chatbot, AI Shopping Assistant |
| Pricing Model | Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 154,620 | 2,660,498 |
| MoM Growth Rate | +7.3% | +2.4% |
| Primary Market | United States | United States |
| Direct Visits | 47,869 | 2,066,002 |
| Review Score | 4.4 | 4.7 |
| Saved Count | 1 | 3 |
| 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)

## Gorgias

Gorgias was built on a simple observation: for an online store, every conversation with a customer is also a commercial moment. Instead of bolting a generic AI layer onto a generic helpdesk, Gorgias unifies its AI Agent and its inbox in one platform, so automation and human agents share the same customer record, order history and knowledge base. The company reports that it powers customer conversations for roughly 40% of Shopify brands and serves more than 17,000 ecommerce businesses.

The AI Agent is trained on your brand's tone, policies and standard operating procedures, with guardrails so it does not improvise beyond what you have approved. Because it reads live store data, it can answer where an order is, process a cancellation, apply a discount or make a contextual product recommendation. When a request needs a human, the conversation is handed over with the full history attached, so the customer never repeats themselves. Gorgias claims its customers average a 60% automation rate, with one study citing 19.2x ROI on AI-driven sales interactions.

The helpdesk side is where everything lands: an omnichannel inbox for email, chat, SMS, WhatsApp, Instagram and Facebook, ticketing with routing and assignment, in-conversation actions, and revenue attribution reporting that shows what support actually generated. With integrations for Shopify, WooCommerce, BigCommerce, Magento, Recharge, Klaviyo, Yotpo and hundreds more, the platform is designed to sit at the centre of an ecommerce stack rather than alongside it.

**Pricing & Plans:** Pricing is quoted through sales rather than published as flat self-serve tiers; the site offers a free signup and a book-a-demo path. Cost typically scales with support ticket volume and AI usage, so merchants should request a quote based on their conversation volume.

- **Ecommerce-trained AI Agent:** Pre-trained on over a billion conversations and grounded in your store's live order, customer and product data, with your tone, policies and guardrails applied.
- **Unified omnichannel inbox:** Email, chat, SMS, WhatsApp, Instagram, Facebook and phone all arrive in one queue, on the same customer record as Fin-style AI resolutions and human replies.
- **In-conversation commerce actions:** Agents and the AI can cancel orders, issue refunds, apply discounts or upsell directly inside the ticket without switching tools.
- **Native Shopify integration:** Orders, customers and products are pulled natively into the ticket view, with 300+ additional integrations across the ecommerce stack.
- **Revenue attribution reporting:** Track automation rate, resolution performance and the revenue your support and AI-driven conversations actually generate.

**Strengths:** Purpose-built for ecommerce rather than adapted from a generic helpdesk; AI Agent and human inbox share one customer record, avoiding context loss on handover; Deep native Shopify data and 300+ integrations; Reporting ties support activity to measurable revenue

**Limitations:** Pricing is quote-based, so costs are hard to estimate without a sales conversation; The full value depends on using it with an integrated ecommerce platform such as Shopify; Feature depth means onboarding involves real setup work even with guided programmes

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

## Frequently Asked Questions

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

FluidStack has 154,620 monthly visits, while Gorgias has 2,660,498. 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%; Gorgias has +2.4%.

### 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. Gorgias: Contact for Pricing. Pricing is quoted through sales rather than published as flat self-serve tiers; the site offers a free signup and a book-a-demo path. Cost typically scales with support ticket volume and AI usage, so merchants should request a quote based on their conversation volume.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | An enterprise-grade autonomous AI agent platform that automates customer service, sales, and complex CRM workflows. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 2 | [Intercom](https://openaitools.app/tool/intercom-com) | 4,471,110 | +2.7% | Free Trial, Paid | A leading AI-first customer service platform offering advanced multi-channel routing and the Fin AI agent. | [.md](https://openaitools.app/tool/intercom-com.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [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) |
| 6 | [Respond.io](https://openaitools.app/tool/respond-io) | 1,606,802 | -8.7% | Freemium | A unified customer conversation platform bringing multi-channel messaging and AI agents into a single collaborative team inbox. | [.md](https://openaitools.app/tool/respond-io.md) |
| 7 | [Crisp](https://openaitools.app/tool/crisp-chat) | 1,408,646 | +1.5% | Free Trial, Paid, Contact for Pricing, Free | An omnichannel customer support platform providing shared inboxes, helpdesks, and no-code AI chat agents for growing businesses. | [.md](https://openaitools.app/tool/crisp-chat.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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

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