Fluidstack VS Osloq
Fluidstack VS Osloq对比，Fluidstack 和 Osloq 有什么区别？
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总结
Fluidstack 总结
Fluidstack 着陆页
Osloq 总结
Most AI dev tools just read your code and guess. Osloq actually runs it. Connect your GitHub, pick an issue, and an AI agent spins up a real sandbox, clones your repo, runs it, and tries to reproduce the bug the way a developer would. You get a report backed by real evidence. What happened, the steps it took, and whether the bug is real, not a hallucinated guess. No local setup, no "works on my machine." It handles the tedious reproduction step so you jump straight to fixing.
Osloq 着陆页
比较详细信息
Fluidstack 详细信息
| 类别 | AI开发者工具, AI模型, 大语言模型 LLMs |
| Fluidstack 网站 | https://fluidstack.io?utm_source=toolify |
| 添加时间 | 2023年12月25日 |
| Fluidstack 定价 | -- |
Osloq 详细信息
| 类别 | AI开发者工具, AI代码助手, AI编程与Github, AI测试 |
| Osloq 网站 | https://osloq.com?utm_source=toolify |
| 添加时间 | 2026年7月6日 |
| Osloq 定价 | -- |
使用情况比较
如何使用 Fluidstack？
To use Fluidstack, you can either reserve a large-scale GPU cluster for AI training and inference or launch on-demand GPU instances. The platform offers fully managed Kubernetes or Slurm environments, and you can contact their engineers for support.
如何使用 Osloq？
Connect your GitHub repository through the GitHub App, pick an issue, and let Osloq investigate it in a fresh sandbox. It clones the repo, runs the relevant flow, captures evidence such as logs and screenshots, and returns a verified report explaining what actually happened.
比较 Fluidstack 和 Osloq 的优势
Fluidstack的核心功能
- Access to thousands of NVIDIA GPUs (H100, A100, H200, GB200)
- Fully managed infrastructure with Slurm and Kubernetes
- Large scale GPU clusters for training and inference
- On-demand GPU instances
- 24/7 support with 15-minute response times
- 99% uptime guarantee
Osloq的核心功能
- AI-powered GitHub issue reproduction
- Isolated sandbox execution
- Evidence-backed reports with logs, screenshots, and runtime context
- Repository and commit tracing
- Optional project secrets support
- Read-only GitHub App integration
比较使用案例
Fluidstack的使用案例
- Training large AI models
- Running inference at scale
- Deploying and managing GPU clusters
- Accelerating machine learning product development
Osloq的使用案例
- Reproduce a GitHub issue before assigning it to a developer
- Verify whether an auth or login bug is real and collect evidence
- Generate a report with logs and screenshots for faster debugging
- Investigate bugs across code, commits, and runtime context in one workflow
Fluidstack和Osloq的不同计划
Fluidstack
对不起，没有数据
Osloq
Free
Personal projects and open source; public and private repositories; 5 investigations per month; full evidence timeline and report; community support
$29 / month
Everything in Free; 50 investigations per month; 3 concurrent investigations; priority investigation queue; email support
$99 / month
Everything in Pro; 60 investigations per seat; included 3 seats; shared repositories and history; role-based access control; priority support
Fluidstack的流量
Fluidstack 是月访问量为 91.5K 且平均访问时长为 00:01:43 的工具。 Fluidstack 的每次访问页数为 2.80，跳出率为 38.29%。
最新流量情况
| 月访问量 | 91.5K |
| 平均·访问时长 | 00:01:43 |
| 每次访问页数 | 2.80 |
| 跳出率 | 38.29% |
Osloq的流量
Osloq 是月访问量为 0 且平均访问时长为 00:00:00 的工具。 Osloq 的每次访问页数为 0.00，跳出率为 0.00%。
最新流量情况
| 月访问量 | 0 |
| 平均·访问时长 | 00:00:00 |
| 每次访问页数 | 0.00 |
| 跳出率 | 0.00% |
地理位置
Fluidstack 的前 5 个国家/地区是：United States 85.94%, United Kingdom 5.40%, India 1.75%, Canada 1.34%, Spain 1.33%
Top 5 国家/地区
 | 85.94% |
 | 5.40% |
 | 1.75% |
 | 1.34% |
 | 1.33% |
地理位置
对不起，没有数据
流量来源
Fluidstack 的 6 个主要流量来源是：vs_sourcesSocialOrganic 38.56%, vs_sourcesSearchOrganic 31.80%, 直接访问 23.22%, 外链引荐 3.72%, 邮件 1.84%, vs_sourcesGenAi 0.86%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
vs_sourcesSocialOrganic | 38.56% |
vs_sourcesSearchOrganic | 31.80% |
直接访问 | 23.22% |
外链引荐 | 3.72% |
邮件 | 1.84% |
vs_sourcesGenAi | 0.86% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
流量来源
Osloq 的 6 个主要流量来源是：邮件 0, vs_sourcesGenAi 0, 直接访问 0, vs_sourcesAffiliate 0, 外链引荐 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
邮件 | 0 |
vs_sourcesGenAi | 0 |
直接访问 | 0 |
vs_sourcesAffiliate | 0 |
外链引荐 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Fluidstack 或 Osloq哪个更好？
Fluidstack 可能比 Osloq 更受欢迎。如您所见，Fluidstack 每月有 91.5K 次访问，而 Osloq 每月有 0 次访问。 所以更多的人选择了Fluidstack。 因此，人们很可能会在社交平台上更多地推荐 Fluidstack。
Fluidstack 的平均访问持续时间为 00:01:43，而 Osloq 的平均访问持续时间为 00:00:00。 此外，Fluidstack 的每次访问页面为 2.80，跳出率为 38.29%。 Osloq 的每次访问页面为 0.00，跳出率为 0.00%。
Fluidstack 的主要用户是United States, United Kingdom, India, Canada, Spain，分布如下：85.94%, 5.40%, 1.75%, 1.34%, 1.33%。
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