# FluidStack vs Vast.ai

FluidStack records 154,620 monthly visits with +7.3% month-over-month growth and Paid, Contact for Pricing pricing. Vast.ai records 1,257,554 monthly visits with +2.8% growth and Paid pricing.

| Metric | [FluidStack](https://openaitools.app/tool/fluidstack) | [Vast.ai](https://openaitools.app/tool/vast-ai) |
| :--- | :--- | :--- |
| Website URL | https://fluidstack.io | https://vast.ai |
| Categories | AI Developer Tools, AI Models, Large Language Models (LLMs) | AI Developer Tools, Large Language Models (LLMs), AI Image Generator, AI Video Generator |
| Pricing Model | Paid, Contact for Pricing | Paid |
| Monthly Visits | 154,620 | 1,257,554 |
| MoM Growth Rate | +7.3% | +2.8% |
| Primary Market | United States | United States |
| Direct Visits | 47,869 | 937,107 |
| Review Score | 4.4 | 4.6 |
| Saved Count | 1 | 2 |
| 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)

## Vast.ai

Vast.ai is a compute marketplace for AI: instead of a single closed cloud, it aggregates 20,000+ GPUs from a global network of hosts and data centers and lets you rent them by the second. Because prices are set by supply and demand rather than fixed by the vendor, you can often find substantially lower rates than traditional cloud pricing, and you can filter by GPU model, VRAM, price, and availability through the console or API. Setup is deliberately fast — you add credit, grab an API key, and can be running a workload in under five minutes.

The platform offers three ways to deploy. GPU Cloud gives you on-demand instances with full control across 40+ data centers and more than 60 GPU types, from consumer cards up to NVIDIA GB200s. Serverless lets you deploy models as endpoints with automatic benchmarking and optimization across GPU types, scaling to zero so you pay only for compute time. Clusters provide dedicated multi-node GPU capacity with InfiniBand networking for large-scale training. Pricing comes in three tiers: on-demand for guaranteed uptime, interruptible instances that are 50%+ cheaper for fault-tolerant batch work, and reserved 1-, 3-, or 6-month terms at up to 50% off.

Vast.ai is built for developers and, increasingly, for AI agents. Every GPU is provisioned through code, whether via the CLI, the Python SDK, or the REST API, and the platform markets itself as agent-ready infrastructure where agents can autonomously design, procure, and optimize their own compute. A Model Library provides pre-configured templates for popular open-source models, and the platform advertises SOC 2 certification, 700K+ monthly transactions, and a broad set of use cases spanning LLM inference, image and video generation, transcription, fine-tuning, and rendering.

**Pricing & Plans:** Vast.ai is a paid, usage-based GPU marketplace. Billing is per second with no minimum hours, and you can start with as little as $5 in credit. Three tiers are offered: on-demand for guaranteed uptime, interruptible instances at 50%+ cheaper for fault-tolerant work, and reserved 1-, 3-, or 6-month terms at up to 50% off with guaranteed capacity. Prices are set by market supply and demand.

- **Marketplace of 20,000+ GPUs:** Rent from a global pool of 20,000+ GPUs spanning more than 60 GPU types, from RTX 3060-class cards to GB200s, across 40+ data centers.
- **On-demand, interruptible & reserved tiers:** Choose on-demand for guaranteed uptime, interruptible at 50%+ cheaper, or reserved terms at up to 50% off with guaranteed capacity.
- **Per-second billing:** Pay only for the compute you use with per-second billing and no minimum hours, so experiments and short jobs stay affordable.
- **API-native deployment:** Provision and optimize instances entirely through code using the CLI, Python SDK, or REST API, which also makes the platform agent-ready.
- **GPU Cloud, Serverless & Clusters:** Launch pre-configured templates for popular open-source models, use serverless endpoints with autoscale-to-zero, or spin up multi-node clusters with InfiniBand.
- **Transparent market pricing:** Prices are set by supply and demand rather than by Vast, so you always see the real, programmatically queryable market rate.

**Strengths:** Access to 20,000+ GPUs and 68+ GPU types on one platform; Per-second billing with no minimum hours or lock-in; Interruptible and reserved tiers can cut costs substantially; Fully API-, CLI-, and SDK-driven deployment

**Limitations:** Host quality and reliability vary across independent providers; Interruptible instances can be reclaimed mid-job; Requires comfort with CLI, SDK, or API workflows; Pricing fluctuates with supply and demand, so budgets need monitoring

[Profile (Markdown)](https://openaitools.app/tool/vast-ai.md)

## Frequently Asked Questions

### How do FluidStack and Vast.ai compare in monthly traffic?

FluidStack has 154,620 monthly visits, while Vast.ai has 1,257,554. 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%; Vast.ai has +2.8%.

### 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. Vast.ai: Paid. Vast.ai is a paid, usage-based GPU marketplace. Billing is per second with no minimum hours, and you can start with as little as $5 in credit. Three tiers are offered: on-demand for guaranteed uptime, interruptible instances at 50%+ cheaper for fault-tolerant work, and reserved 1-, 3-, or 6-month terms at up to 50% off with guaranteed capacity. Prices are set by market supply and demand.

## 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 | Offers a polished managed Kubernetes cloud experience with better template stability, but can be slightly more expensive. | [.md](https://openaitools.app/tool/runpod.md) |
| 3 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all b | [.md](https://openaitools.app/tool/together-ai.md) |
| 4 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Serverless cloud infrastructure for AI and data workloads | [.md](https://openaitools.app/tool/modal-com.md) |
| 5 | [Nebius](https://openaitools.app/tool/nebius) | 1,145,711 | +10.7% | Paid, Contact for Pricing | Provides enterprise-grade AI cloud infrastructure with managed ML tools, replacing peer-to-peer rentals with reliable data centers. | [.md](https://openaitools.app/tool/nebius.md) |
| 6 | [Salad](https://openaitools.app/tool/salad-gpu-cloud) | 713,519 | +10.4% | Free Trial, Paid, Contact for Pricing | Leverages distributed idle consumer hardware to deliver significantly cheaper inference and container workloads, with lower reliability guarantees. | [.md](https://openaitools.app/tool/salad-gpu-cloud.md) |
| 7 | [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) |
| 8 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Low-cost serverless inference APIs for 200+ open models | [.md](https://openaitools.app/tool/deep-infra.md) |
| 9 | [Thunder Compute](https://openaitools.app/tool/thunder-compute) | 102,147 | -29% | Paid (per-minute instances, per-second sandboxes) | Provides instant persistent SSH instances with simple per-second billing, matching Vast.ai's developer-focused flexibility. | [.md](https://openaitools.app/tool/thunder-compute.md) |
| 10 | [Lium](https://openaitools.app/tool/lium-io) | 58,483 | -13.9% | Paid | Specializes in agent-first per-second GPU rentals, closely mirroring Vast.ai's developer and agent-centric workflow. | [.md](https://openaitools.app/tool/lium-io.md) |

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Source: https://openaitools.app/compare/fluidstack-vs-vast-ai

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