Lightning AI（原 Grid.ai）记录了 10,313 月访问量，月度环比增长为 -1.8%，定价为 Usage-based / Contact for Pricing。QuickPod 记录了 7,171 月访问量，增长率为 -70.4%，定价为付费。
由 PyTorch Lightning 团队打造的按需 GPU 云与企业级 AI 基础设施。
QuickPod rents on-demand GPU and CPU docker pods through one console, pre-configured with Jupyter for TensorFlow, PyTorch or any framework, at a fraction of major cloud prices.
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | grid.ai | quickpod.io |
| 定价模式 | Usage-based / Contact for Pricing | 付费 |
| 月访问量 | 1.03万 (10,313) | 7171 (7,171) |
| 月度环比流量变化 | -192 (-1.8%) | -1.71万 (-70.4%) |
| 主要市场与份额 | 🇺🇸 美国 (50.5%) | 🇮🇩 印度尼西亚 (100%) |
| 直接访问 / 月 | 4107 | 2986 |
| 用户评分 | 4.4 | 4 |
| 支持的平台 | 网站 | 网站 |
由 PyTorch Lightning 团队打造的按需 GPU 云与企业级 AI 基础设施。
自助获取 H200、B200、H100、A100 和 L4 GPU，保障可用性且无需长期合约。
在浏览器或通过 SSH 在云端 GPU 上编码、调试和优化模型，并支持团队共享工作空间。
同时运行数百个实验、对比训练结果，并扩展到多节点 GPU 集群进行预训练。
SSO、基于角色的访问、审计日志、细粒度数据管控、SOC2 与 HIPAA 对齐，以及私有云和 VPC 部署。
QuickPod rents on-demand GPU and CPU docker pods through one console, pre-configured with Jupyter for TensorFlow, PyTorch or any framework, at a fraction of major cloud prices.
Launch on-demand docker pods with GPU or CPU compute from one interface and scale up or down as workloads change.
Every pod ships with a Jupyter environment ready for TensorFlow, PyTorch or any framework you prefer.
Choose from a broad set of locations worldwide so compute sits close to your datasets and end users.
On-demand CPU and GPU pricing is published in the console, so you can compare instance types before you launch.
从全球市场按秒租用云 GPU
免费 / 开源面向 AI 与数据负载的无服务器云基础设施
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.
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.
免费 / 开源编排全球闲置消费级 GPU 的分布式 GPU 云
免费 / 开源由 PyTorch Lightning 创建团队打造的 AI 云平台
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 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.
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。
代理优先的 GPU 云：在终端或 API 中按秒租用 NVIDIA 算力
面向训练与推理工作负载的私有 AI 云
按需租用云 GPU，价格比主流云最多低 80%
免费 / 开源私密、实惠的欧盟 GPU 服务器，几分钟内配好 AI 模板
