付费
加载中…
头对头基准测试
Code Arena vs Lightning AI（原 Grid.ai）
Code Arena 记录了 35,827,928 月访问量，月度环比增长为 +19.4%，定价为免费。Lightning AI（原 Grid.ai）记录了 10,313 月访问量，增长率为 -1.8%，定价为 Usage-based / Contact for Pricing。
Code Arena 记录了 35,827,928 月访问量，月度环比增长为 +19.4%，定价为免费。Lightning AI（原 Grid.ai）记录了 10,313 月访问量，增长率为 -1.8%，定价为 Usage-based / Contact for Pricing。
由 PyTorch Lightning 团队打造的按需 GPU 云与企业级 AI 基础设施。
| 维度 / 指标 |  | |
|---|---|---|
| 官方域名 | arena.ai | grid.ai |
| 定价模式 | 免费 | Usage-based / Contact for Pricing |
| 月访问量 | 3582.79万 (35,827,928) | 1.03万 (10,313) |
| 月度环比流量变化 | +583.28万 (+19.4%) | -192 (-1.8%) |
| 主要市场与份额 | 🇮🇳 印度 (13.1%) | 🇺🇸 美国 (50.5%) |
| 直接访问 / 月 | 2433.99万 | 4107 |
| 用户评分 | 4.7 | 4.4 |
| 支持的平台 | 网站 | 网站 |
让 AI 编程模型同台竞技
把同一个编程需求发给多个主流模型，对比它们生成的应用与逻辑。
实时观看模型搭建 Web 应用和网站，看到的不只是最终文件，还有过程。
项目不止于零散片段，能检验模型如何组织组件、路由与样式。
追踪哪些编程模型长期累积胜场，找出稳定表现优异的选手。
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。
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.
让 AI 模型同台竞技、由真人投票选出最佳设计产出的众包竞技场
免费 / 开源编排全球闲置消费级 GPU 的分布式 GPU 云
免费 / 开源检索并研究数百万公开的 SKILL.md 智能体技能
LabLab is a free global community and hackathon platform where developers, designers and founders build AI-native products with sponsor-provided models, APIs and prize pools.
LabLab is a free global community and hackathon platform where developers, designers and founders build AI-native products with sponsor-provided models, APIs and prize pools.
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.
面向 Cursor 的社区插件、规则与 MCP 服务器中心
