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RunPod VS exe.dev

RunPod VS exe.dev对比,RunPod 和 exe.dev 有什么区别?

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总结

RunPod 总结

Rent Cloud GPUs from $0.2/hour. Save over 80% on GPUs. GPU rental made easy with Jupyter for PyTorch, Tensorflow or any other AI framework.

RunPod 着陆页

exe.dev 总结

exe.dev 着陆页

比较详细信息

RunPod 详细信息

类别 AI开发者工具, AI模型, 大语言模型 LLMs, 人工智能接口
RunPod 网站 https://www.runpod.io?utm_source=toolify
添加时间 2023年3月7日
RunPod 定价 Paid plans

exe.dev 详细信息

类别 AI开发者工具, AI智能体, AI应用构建器
exe.dev 网站 https://exe.dev?utm_source=toolify
添加时间 2026年8月21日
exe.dev 定价 --

使用情况比较

如何使用 RunPod?

Users can rent GPUs on-demand, deploy containers, and scale ML inference using RunPod's platform. It supports various AI frameworks and offers tools for development, training, and deployment.

如何使用 exe.dev?

Create an exe.dev account and choose a plan, then launch a VM using the exe.dev command-line interface or web interface. Use commands such as "ssh exe.dev new" to create a machine, optionally specifying its name, image, prompt, or disk size. Once ready, connect through SSH, access applications through HTTPS proxy URLs, or use Shelley as a built-in web coding agent. Teams can manage users and permissions through administrative controls and SSO.

比较 RunPod 和 exe.dev 的优势

RunPod的核心功能

  • GPU Cloud for on-demand GPU rentals
  • Serverless GPU for scalable ML inference
  • Support for PyTorch, TensorFlow, and other AI frameworks
  • Custom container deployment
  • Network storage
  • CLI tool for hot reloading and deployment

exe.dev的核心功能

  • Instant disposable and persistent Linux VMs
  • SSH access, HTTPS application proxying, root privileges, apt, and systemd
  • Built-in Shelley web coding agent for developers and AI agents
  • API-first VM creation and management
  • Private-by-default infrastructure with IAM-based sharing
  • Configurable CPU, memory, and disk resources
  • Pooled resources that support multiple VMs and burstable team capacity
  • Support for development, sandbox, VPS, data analysis, and production workloads

比较使用案例

RunPod的使用案例

  • Developing and training AI models
  • Scaling ML inference for applications
  • Deploying AI applications in minutes
  • Running machine learning training tasks

exe.dev的使用案例

  • Create disposable Linux sandboxes for AI coding agents
  • Build and host web applications on persistent cloud VMs
  • Develop remotely over SSH from a laptop, tablet, or phone
  • Give an AI agent a fresh machine and a natural-language coding task
  • Run data analysis workflows using SQL and visualization tools
  • Create shared team development environments with IAM and SSO
  • Prototype applications before deploying them to production
  • Host lightweight services with HTTPS access and persistent storage

RunPod和exe.dev的不同计划

RunPod

MI300X

Starting from $2.49/hr

192GB VRAM, 283GB RAM, 24 vCPUs

H100 PCIe

Starting from $1.99/hr

80GB VRAM, 188GB RAM, 24 vCPUs

A100 PCIe

Starting from $1.19/hr

80GB VRAM, 125GB RAM, 12 vCPUs

A100 SXM

Starting from $1.89/hr

80GB VRAM, 125GB RAM, 16 vCPUs

A40

Starting from $0.4/hr

48GB VRAM, 48GB RAM, 9 vCPUs

L40

Starting from $0.69/hr

48GB VRAM, 94GB RAM, 8 vCPUs

L40S

Starting from $0.79/hr

48GB VRAM, 94GB RAM, 12 vCPUs

RTX A6000

Starting from $0.33/hr

48GB VRAM, 50GB RAM, 8 vCPUs

RTX A5000

Starting from $0.16/hr

24GB VRAM, 25GB RAM, 3 vCPUs

RTX 4090

Starting from $0.34/hr

24GB VRAM, 29GB RAM, 6 vCPUs

RTX 3090

Starting from $0.22/hr

24GB VRAM, 24GB RAM, 4 vCPUs

RTX A4000 Ada

Starting from $0.20/hr

20GB VRAM, 31GB RAM, 5 vCPUs

Network Storage

$0.05/GB/month

Persistent Network Storage

exe.dev

Personal

$20/month

50 VMs, 100 GB pooled disk, and 200 GB data transfer

Team

$25/user/month

50 VMs per user, 100 GB pooled disk, 250 GB data transfer, admin and user management, and SSO

Reserved Cloud Pool

$35.84/hour

512 vCPU, 2,048 GB RAM, thousands of VMs with pooled disks, admin and user management, SSO, and AWS VPC integration

Additional disk

$0.08/GB/month

Charged for disk usage beyond the included allocation

Additional data transfer

$0.05/GB/month

Charged for data transfer beyond the included allocation

比较定价

RunPod 定价

Paid plans

start from $0.59/hr

exe.dev 定价

对不起,没有数据

比较流量/月访问量

RunPod的流量

RunPod 是月访问量为 2.5M 且平均访问时长为 00:08:19 的工具。 RunPod 的每次访问页数为 7.35,跳出率为 32.37%。

最新流量情况

月访问量 2.5M
平均·访问时长 00:08:19
每次访问页数 7.35
跳出率 32.37%
Dec 2022 - Jul 2026 所有流量:

exe.dev的流量

exe.dev 是月访问量为 113.3K 且平均访问时长为 00:01:23 的工具。 exe.dev 的每次访问页数为 2.25,跳出率为 39.76%。

最新流量情况

月访问量 113.3K
平均·访问时长 00:01:23
每次访问页数 2.25
跳出率 39.76%
May 2026 - Jul 2026 所有流量:

地理位置

RunPod 的前 5 个国家/地区是:United States 26.64%, India 6.82%, Germany 5.68%, South Korea 4.66%, Japan 3.64%

Top 5 国家/地区

United States
26.64%
India
6.82%
Germany
5.68%
South Korea
4.66%
Japan
3.64%

地理位置

exe.dev 的前 5 个国家/地区是:United States 41.86%, Germany 10.03%, Vietnam 6.74%, Thailand 6.39%, India 5.23%

Top 5 国家/地区

United States
41.86%
Germany
10.03%
Vietnam
6.74%
Thailand
6.39%
India
5.23%

流量来源

RunPod 的 6 个主要流量来源是:直接访问 58.26%, 外链引荐 15.74%, vs_sourcesSearchOrganic 12.09%, vs_sourcesSearchPaid 5.34%, vs_sourcesSocialOrganic 4.09%, vs_sourcesGenAi 2.46%, 邮件 1.04%, vs_sourcesDisplayAds 0.78%, vs_sourcesAffiliate 0.13%, vs_sourcesSocialPaid 0.07%

直接访问
58.26%
外链引荐
15.74%
vs_sourcesSearchOrganic
12.09%
vs_sourcesSearchPaid
5.34%
vs_sourcesSocialOrganic
4.09%
vs_sourcesGenAi
2.46%
邮件
1.04%
vs_sourcesDisplayAds
0.78%
vs_sourcesAffiliate
0.13%
vs_sourcesSocialPaid
0.07%
Dec 2022 - Jul 2026 仅限全球桌面设备

流量来源

exe.dev 的 6 个主要流量来源是:直接访问 57.80%, vs_sourcesSocialOrganic 20.45%, vs_sourcesSearchOrganic 9.33%, 外链引荐 9.21%, 邮件 2.50%, vs_sourcesGenAi 0.55%, vs_sourcesSocialPaid 0.17%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%

直接访问
57.80%
vs_sourcesSocialOrganic
20.45%
vs_sourcesSearchOrganic
9.33%
外链引荐
9.21%
邮件
2.50%
vs_sourcesGenAi
0.55%
vs_sourcesSocialPaid
0.17%
vs_sourcesAffiliate
0.00%
vs_sourcesDisplayAds
0.00%
vs_sourcesSearchPaid
0.00%
May 2026 - Jul 2026 仅限全球桌面设备

RunPod 或 exe.dev哪个更好?

RunPod 可能比 exe.dev 更受欢迎。如您所见,RunPod 每月有 2.5M 次访问,而 exe.dev 每月有 113.3K 次访问。 所以更多的人选择了RunPod。 因此,人们很可能会在社交平台上更多地推荐 RunPod。

RunPod 的平均访问持续时间为 00:08:19,而 exe.dev 的平均访问持续时间为 00:01:23。 此外,RunPod 的每次访问页面为 7.35,跳出率为 32.37%。 exe.dev 的每次访问页面为 2.25,跳出率为 39.76%。

RunPod 的主要用户是United States, India, Germany, South Korea, Japan,分布如下:26.64%, 6.82%, 5.68%, 4.66%, 3.64%。

exe.dev 的主要用户是 United States, Germany, Vietnam, Thailand, India,分布如下:41.86%, 10.03%, 6.74%, 6.39%, 5.23%。

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