# FluidStack vs Verda（原 Takomo） FluidStack 记录了 154,620 月访问量，月度环比增长为 +7.3%，定价为付费，定价请咨询。Verda（原 Takomo）记录了 0 月访问量，增长率为 0%，定价为定价请咨询。 | 指标 | [FluidStack](https://openaitools.app/zh/tool/fluidstack) | [Verda（原 Takomo）](https://openaitools.app/zh/tool/takomo) | | :--- | :--- | :--- | | 官网地址 | https://fluidstack.io | https://www.takomo.ai | | 分类 | AI Developer Tools, AI Models, Large Language Models (LLMs) | No-Code&Low-Code, AI Workflow, AI Models, AI 应用构建器 | | 定价模式 | 付费，定价请咨询 | 定价请咨询 | | 月访问量 | 154,620 | 0 | | 月度环比增长率 | +7.3% | 0% | | 主要市场 | 美国 | 全球 | | 直接访问量 | 47,869 | 0 | | 评价得分 | 4.4 | 4.4 | | 收藏数 | 1 | 7 | | 支持平台 | 网站 | 网站 | ## FluidStack FluidStack builds and operates large-scale compute infrastructure for AI, including gigawatt-class data centers and GPU clusters used for training and inference. The company designs its own power, cooling and data center systems, onshores manufacturing and deploys solar generation to supply the power its clusters need. Rather than a self-serve cloud console, FluidStack works with AI labs and enterprises to provision large reserved clusters, with orchestration tooling for the ML frameworks and schedulers those teams already use. **定价与套餐:** 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. **优势:** 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 **局限:** 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 [工具详情（Markdown）](https://openaitools.app/zh/tool/fluidstack.md) ## Verda（原 Takomo） Verda（早期以 Takomo 名义出现，并与 DataCrunch 品牌相关联）销售围绕 AI 工作负载打造的云基础设施。其产品线覆盖计算、存储、网络，以及较新的托管推理层。可用加速卡包括最新的 NVIDIA 数据中心产品，如 GB300 NVL72、B300 SXM6、B200 SXM6、RTX PRO 6000、H200、H100 与 A100，此外还有高主频的专用 CPU 实例与 NVMe 块存储。 对开发者而言，平台强调自助接入：按需 GPU 实例无需商务谈判即可开通；即时集群借助 InfiniBand 或 RoCE 互联可跨多机架扩展；无服务器容器则针对推理与批处理自动伸缩。较新的 Inference 服务通过兼容 OpenAI 的接口提供前沿开源权重模型，按 token 计费并支持缓存输入优惠，因此现有的 OpenAI API 代码只需更换 base URL 即可直接运行。 公司强调欧洲所有权与数据中心自主掌控、可再生能源，以及包括 SOC 2 Type II、ISO 27001 与 GDPR 合规在内的合规体系，并提供硬件证明的机密计算能力用于推理与微调。内部 AI Lab 参与 SGLang、vLLM 等开源项目，并对外发布 GPU 基准测试。 **定价与套餐:** 价格按用量计费，按 GPU 实例类型、存储与推理 token 公开报价；企业与预留容量方案需联系销售。 - **按需 NVIDIA GPU 实例:** 无需合同或谈判即可开通从 RTX PRO 6000 到支持 NVLink v5 的 GB300 NVL72 等当前数据中心加速卡。 - **面向大规模训练的即时集群:** 自助式集群借助 InfiniBand 或 RoCE 互联，可从单托盘扩展到多机架，满足分布式训练需求。 - **无服务器容器:** 自动伸缩的 GPU 容器承担推理与批处理任务，无需自行管理底层集群。 - **兼容 OpenAI 的推理 API:** 通过单一接口调用 Kimi K3.1 Pro 等前沿开源权重模型，按 token 计费并享受缓存输入折扣。 - **托管存储与网络:** NVMe 块存储、POSIX 共享文件系统、兼容 S3 的对象存储与 OCI 容器镜像仓库共同构成完整平台。 **优势:** 可自助开通的当代 NVIDIA 加速卡种类丰富; 从自有数据中心到托管服务的垂直整合; 兼容 OpenAI 的推理接口显著减少代码改动; 欧洲合规与可再生能源定位清晰 **局限:** 公开价格因实例类型而异，部分情况需联系销售; 推理服务较新，模型目录广度可能落后于大型云厂商; 区域容量可用性取决于具体数据中心位置 [工具详情（Markdown）](https://openaitools.app/zh/tool/takomo.md) ## 常见问题 ### FluidStack 和 Verda（原 Takomo）在月流量上如何比较？ FluidStack 有 154,620 月访问量，而 Verda（原 Takomo）有 0。流量估算描述的是受众规模，而非产品质量。 ### 它们的增长率如何比较？ FluidStack 的月度环比增长率为 +7.3%；Verda（原 Takomo）为 0%。 ### 价格如何比较？ FluidStack: 付费，定价请咨询。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. Verda（原 Takomo）: 定价请咨询。价格按用量计费，按 GPU 实例类型、存储与推理 token 公开报价；企业与预留容量方案需联系销售。 ## 替代工具 | # | 工具名称 | 月访问量 | 月度环比增长率 | 定价模式 | 简介 | 工具详情（Markdown） | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [fal.ai](https://openaitools.app/zh/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/zh/tool/fal-ai.md) | | 2 | [RunPod](https://openaitools.app/zh/tool/runpod) | 2,881,043 | +5.9% | 付费 | 面向 AI 开发者的 GPU Pod、Serverless 推理与集群云平台 | [.md](https://openaitools.app/zh/tool/runpod.md) | | 3 | [Together AI](https://openaitools.app/zh/tool/together-ai) | 1,645,930 | +64.9% | 免费增值，付费 | 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/zh/tool/together-ai.md) | | 4 | [Vast.ai](https://openaitools.app/zh/tool/vast-ai) | 1,257,554 | +2.8% | 付费 | 从全球市场按秒租用云 GPU | [.md](https://openaitools.app/zh/tool/vast-ai.md) | | 5 | [Modal](https://openaitools.app/zh/tool/modal-com) | 1,196,021 | +30.2% | 免费增值，定价请咨询 | 面向 AI 与数据负载的无服务器云基础设施 | [.md](https://openaitools.app/zh/tool/modal-com.md) | | 6 | [Nebius](https://openaitools.app/zh/tool/nebius) | 1,145,711 | +10.7% | 付费，定价请咨询 | Nebius is an AI-focused cloud platform that gives teams non-virtualized NVIDIA GPU clusters, managed MLOps tooling, and a serverless inference layer so they can move from experiment to production on one stack. | [.md](https://openaitools.app/zh/tool/nebius.md) | | 7 | [Salad](https://openaitools.app/zh/tool/salad-gpu-cloud) | 713,519 | +10.4% | 免费试用，付费，定价请咨询 | 编排全球闲置消费级 GPU 的分布式 GPU 云 | [.md](https://openaitools.app/zh/tool/salad-gpu-cloud.md) | | 8 | [Cerebras](https://openaitools.app/zh/tool/cerebras) | 701,013 | -12.6% | 定价请咨询 | 采用独家晶圆级处理器以实现极端的训练速度，有别于标准的 NVIDIA GPU 集群设置。 | [.md](https://openaitools.app/zh/tool/cerebras.md) | | 9 | [DeepInfra](https://openaitools.app/zh/tool/deep-infra) | 457,810 | -8.9% | 付费 | Specializes in cost-effective serverless API inference for open-weights models instead of raw infrastructure rentals. | [.md](https://openaitools.app/zh/tool/deep-infra.md) | | 10 | [RunComfy — 云端 ComfyUI，高速 GPU 与无服务器 API](https://openaitools.app/zh/tool/runcomfy) | 364,336 | -8.6% | 定价请咨询 | 在云端零配置运行原生 ComfyUI，享受高速 GPU 与一键无服务器 API | [.md](https://openaitools.app/zh/tool/runcomfy.md) | --- 来源：https://openaitools.app/zh/compare/fluidstack-vs-takomo 更多 Markdown 页面: [分类](https://openaitools.app/zh/categories.md) · [流量排名](https://openaitools.app/zh/rankings.md) · [llms.txt](https://openaitools.app/zh/llms.txt)