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。Trelent 记录了 0 月访问量，增长率为 0%，定价为定价请咨询。
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.
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | fluidstack.io | trelent.com |
| 定价模式 | 付费，定价请咨询 | 定价请咨询 |
| 月访问量 | 15.46万 (154,620) | 0 (0) |
| 月度环比流量变化 | +1.05万 (+7.3%) | 0 (0%) |
| 主要市场与份额 | 🇺🇸 美国 (95.7%) | 🌐 全球 (—) |
| 直接访问 / 月 | 4.79万 | 0 |
| 用户评分 | 4.4 | 4.1 |
| 支持的平台 | 网站 | 网站 |
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.
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.
Clusters are architected for large-scale model training and inference, with high-bandwidth interconnect and orchestration suitable for distributed workloads.
The company develops off-grid solar and recirculating closed-loop cooling, treating power and water efficiency as core engineering problems.
Smart hands, cluster provisioning and operations support let research teams focus on models while FluidStack runs the physical and orchestration layers.
面向高价值敏感工作流的私有 AI 基础设施
整套架构在你的环境中运行，敏感数据不离开边界，从第一天起就满足合规要求。
连接文件存储和数据库，由 Trelent 转换为可供 AI 使用的结构化上下文。
按语义而非关键词检索，即使不同文档用词不一致也能找到答案。
串联多步骤 AI 流程，在恰当时机提供恰当上下文，而不是依赖单次浅层提示。
专项更强Delivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure.
专项更强Delivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure.
专项更强专注于优化的无服务器推理 API 和托管模型托管，而不是单纯的裸集群租赁。
提供用于低成本实验的点对点 GPU 租赁市场，不过企业级基础设施的可预测性相对较低。
免费 / 开源面向 AI 与数据负载的无服务器云基础设施
提供专属的 NVIDIA GPU 集群和托管云基础设施，直接在企业级训练工作负载上展开竞争。
提供专属的 NVIDIA GPU 集群和托管云基础设施，直接在企业级训练工作负载上展开竞争。
免费 / 开源编排全球闲置消费级 GPU 的分布式 GPU 云
专项更强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。
专项更强Specializes in cost-effective serverless API inference for open-weights models instead of raw infrastructure rentals.
免费 / 开源由 PyTorch Lightning 创建团队打造的 AI 云平台
低成本云 GPU：面向 AI 工作负载的按分钟实例与按秒计费沙箱。
低成本云 GPU：面向 AI 工作负载的按分钟实例与按秒计费沙箱。
