# FluidStack vs Trooper.AI FluidStack records 154,620 monthly visits with +7.3% month-over-month growth and Paid, Contact for Pricing pricing. Trooper.AI records 17,443 monthly visits with -9.6% growth and Free Trial, Paid pricing. | Metric | [FluidStack](https://openaitools.app/tool/fluidstack) | [Trooper.AI](https://openaitools.app/tool/trooper-ai) | | :--- | :--- | :--- | | Website URL | https://fluidstack.io | https://www.trooper.ai | | Categories | AI Developer Tools, AI Models, Large Language Models (LLMs) | AI Developer Tools | | Pricing Model | Paid, Contact for Pricing | Free Trial, Paid | | Monthly Visits | 154,620 | 17,443 | | MoM Growth Rate | +7.3% | -9.6% | | Primary Market | United States | United States | | Direct Visits | 47,869 | 7,032 | | Review Score | 4.4 | 4.3 | | 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) ## Trooper.AI Trooper.AI is a European boutique GPU cloud that rents out "Blibs" — its term for pre-built, bare-metal GPU servers. The premise is speed and simplicity: instead of wrestling with container orchestration and dependency hell, you order a GPU type, and a private machine with full root access is ready in minutes. One-click templates then layer on OpenWebUI and Ollama, ComfyUI, InvokeAI, vLLM, Jupyter Notebook, n8n, Flowise, Qdrant, Docker or a full Ubuntu Desktop GUI over RDP — and you can run several templates on the same server. The hardware catalog is unusually broad, spanning 40+ configurations. Budget and entry options include the RTX A4000, RTX 3090, V100 and RTX 4070 Ti Super; mid-range picks like the RTX 4080 Super Pro, RTX 4090 Pro and RTX 5090 cover most LLM and image workloads; and the high end reaches A100 40 GB and RTX Pro 6000 Blackwell with 96 GB of VRAM for large-scale training and inference. For guaranteed next-generation capacity, dedicated RabenAI and HyperionAI Blackwell machines can be reserved with a fixed six-month price and deployment within 10 business days of payment. The company emphasizes that this hardware is up-cycled enterprise gear rather than obsolete stock, powered by 100% renewable energy. Billing is flexible and transparent: hourly or monthly rates (for example the RTX 4070 Ti Super at €0.32/hour or €172/month, the RTX 4080 Super Pro at €0.64/hour, and the RTX Pro 6000 Blackwell at €2.17/hour), with the option to pause or freeze a server to cut costs. Every Blib ships with root SSH, fast NVMe storage, automatic backups, free SSL, DDoS and brute-force protection, a configurable firewall and an emergency VNC console. Servers live in EU data centers operated from Germany, are GDPR compliant, support one-click DPA/AVV signing and reference EU AI Act readiness, with a stated 99.6% B2B SLA. **Pricing & Plans:** Hourly or monthly per-server pricing, billed in EUR, with pause/freeze to cut idle costs. Examples: RTX 4070 Ti Super 16 GB at €172/month or €0.32/hour; RTX 4080 Super Pro 32 GB at €344/month or €0.64/hour; RTX Pro 6000 Blackwell 96 GB at €1170/month or €2.17/hour. Seasonal credit promotions apply (for example, pay €200 in November and receive €230 in credits). Reserved Blackwell deployments use fixed 6-month pricing. Check the pricing page for current rates. - **One-click AI templates:** Deploy OpenWebUI with Ollama, ComfyUI, InvokeAI, Jupyter Notebook, vLLM, Docker, n8n, Flowise, Qdrant and Ubuntu Desktop from a single click, and run several on one server. - **Full root bare-metal control:** Every Blib includes root SSH access, persistent storage, fast NVMe (up to 7.5 GB/s and 120k IOPS), automatic backups and hardware upgrades without reinstalling. - **Pause anytime, pay as you go:** Hourly billing lets you pause or freeze a server when it is not in use, so you pay for compute rather than idle time. - **EU hosting, GDPR and sustainability:** EU data centers operated from Germany, GDPR-compliant handling, one-click DPA/AVV, EU AI Act readiness and 100% renewable energy on up-cycled hardware. - **Wide GPU catalog with published benchmarks:** 40+ configurations from RTX A4000 and V100 up to RTX 5090, RTX Pro 6000 Blackwell 96 GB and A100 40 GB, with LLM and image-generation benchmarks published per card. - **Reserved Blackwell deployments:** Reserve a dedicated RabenAI or HyperionAI Blackwell machine with a fixed 6-month price, delivered within 10 business days of payment — no large upfront CapEx. **Strengths:** Private bare-metal servers with root access, not shared instances; One-click templates remove almost all environment setup work; Pause or freeze billing makes experimentation cheap; Broad GPU catalog covering budget cards through 96 GB Blackwell **Limitations:** Smaller scale than major hyperscalers, so top-end capacity may be limited; Many powerful GPUs come from up-cycled enterprise hardware rather than brand-new cards; Blackwell dedicated machines carry a 6-month fixed-price commitment; Billing is EUR-denominated with EU-hosted infrastructure, which may matter for non-EU teams [Profile (Markdown)](https://openaitools.app/tool/trooper-ai.md) ## Frequently Asked Questions ### How do FluidStack and Trooper.AI compare in monthly traffic? FluidStack has 154,620 monthly visits, while Trooper.AI has 17,443. 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%; Trooper.AI has -9.6%. ### 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. Trooper.AI: Free Trial, Paid. Hourly or monthly per-server pricing, billed in EUR, with pause/freeze to cut idle costs. Examples: RTX 4070 Ti Super 16 GB at €172/month or €0.32/hour; RTX 4080 Super Pro 32 GB at €344/month or €0.64/hour; RTX Pro 6000 Blackwell 96 GB at €1170/month or €2.17/hour. Seasonal credit promotions apply (for example, pay €200 in November and receive €230 in credits). Reserved Blackwell deployments use fixed 6-month pricing. Check the pricing page for current rates. ## 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 | An AI-native cloud built from silicon to API for training, tuning, and serving models | [.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) | --- Source: https://openaitools.app/compare/fluidstack-vs-trooper-ai More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)