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GPU Per Hour VS Polygres

GPU Per Hour VS Polygres对比,GPU Per Hour 和 Polygres 有什么区别?

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总结

GPU Per Hour 总结

GPU Per Hour 着陆页

Polygres 总结

Polygres turns Postgres into working memory for AI agents. Retrieve structured rows, connected relationships, semantic matches, and full-text results through one hybrid API. All without a separate vector store, graph database, or sync pipeline. Build grounded agents over the data you already have, with relational, graph, and vector context joined at the source. Use the managed cloud or self-host with our open source components. Polygres is currently free to use, just sign up!

Polygres 着陆页

比较详细信息

GPU Per Hour 详细信息

类别 AI开发者工具, AI工具导航
GPU Per Hour 网站 https://gpuperhour.com?utm_source=toolify
添加时间 2026年2月16日
GPU Per Hour 定价 --

Polygres 详细信息

类别 AI开发者工具, AI智能体, AI知识图谱, 人工智能接口, AI搜索引擎
Polygres 网站 https://polygres.com?utm_source=toolify
添加时间 2026年8月26日
Polygres 定价 --

使用情况比较

如何使用 GPU Per Hour?

Visit the homepage to see a live list of available GPU instances. Use the sidebar filters to select specific GPU models, VRAM requirements, or regions. Sort the results by 'price per GPU' to find the cheapest deals. Once you find a suitable instance, click 'Deploy' to be redirected to the provider's website to start your instance.

如何使用 Polygres?

Create a Polygres managed instance or install the open-source components on an existing PostgreSQL database. Connect your schema and use the SDK or retrieval API to submit a natural-language query with options such as graph traversal depth, filters, and token limits. Polygres combines relational, graph, vector, and text results into one ranked, token-ready context block that can be passed directly to an AI agent.

比较 GPU Per Hour 和 Polygres 的优势

GPU Per Hour的核心功能

  • Real-time pricing and availability tracking for 10,000+ GPUs
  • Head-to-head comparisons between 25+ cloud providers
  • Advanced filtering by GPU model, VRAM, NVLink, and security tier
  • Cost calculator to estimate true hourly expenses
  • Coverage of both enterprise (H100/A100) and consumer (RTX 4090/3090) GPUs

Polygres的核心功能

  • Unified relational, graph, vector, and full-text retrieval
  • Native graph traversal over existing PostgreSQL foreign keys
  • Fused hybrid search with dense HNSW, sparse, filtered, and semantic retrieval
  • Token-ready context assembly for grounded AI agents
  • Shortest-path, neighborhood, relationship, and multi-hop graph queries
  • Managed cloud hosting and open-source self-hosting
  • PostgreSQL-native data retrieval without a separate vector store or sync pipeline

比较使用案例

GPU Per Hour的使用案例

  • Finding the lowest hourly rate for an NVIDIA H100 SXM instance
  • Comparing the cost and features of AWS versus specialized providers like RunPod
  • Locating available RTX 4090 stock for distributed machine learning training

Polygres的使用案例

  • Build grounded AI agents that retrieve customer records, orders, tickets, and related history
  • Investigate failed transactions by combining semantic search with order, payment, and dispute relationships
  • Create user-memory systems that retrieve relevant past interactions and connected data
  • Query Wikipedia-scale datasets using hybrid indexes and graph relationships
  • Provide support agents with ranked, database-backed context
  • Develop recommendation and discovery systems using existing PostgreSQL data

GPU Per Hour和Polygres的不同计划

GPU Per Hour

对不起,没有数据

Polygres

Self-Hosted

$0 / forever

Open-source pgGraph and pgVector, runnable on any PostgreSQL instance, with community support.

Free Launch

$16 / month

Managed cloud database hosting with email and community Discord support. Currently free for now.

Scale

$256 / month minimum usage

Automated vertical and horizontal scaling, email and community Discord support, private Discord or Slack channel, and support hours from 8:00 AM to 5:00 PM.

Enterprise

$4,096 / month minimum usage

Coming soon. Includes dedicated database infrastructure, custom compliance, high availability, 24/7 support, and dedicated support and uptime SLAs.

比较流量/月访问量

GPU Per Hour的流量

GPU Per Hour 是月访问量为 32.4K 且平均访问时长为 00:00:26 的工具。 GPU Per Hour 的每次访问页数为 1.86,跳出率为 39.70%。

最新流量情况

月访问量 32.4K
平均·访问时长 00:00:26
每次访问页数 1.86
跳出率 39.70%
Nov 2025 - Jul 2026 所有流量:

Polygres的流量

Polygres 是月访问量为 11.6K 且平均访问时长为 00:00:12 的工具。 Polygres 的每次访问页数为 1.40,跳出率为 92.09%。

最新流量情况

月访问量 11.6K
平均·访问时长 00:00:12
每次访问页数 1.40
跳出率 92.09%
May 2026 - Jul 2026 所有流量:

地理位置

GPU Per Hour 的前 5 个国家/地区是:United States 24.49%, Turkey 7.38%, Brazil 7.27%, Vietnam 6.94%, United Kingdom 6.46%

Top 5 国家/地区

United States
24.49%
Turkey
7.38%
Brazil
7.27%
Vietnam
6.94%
United Kingdom
6.46%

地理位置

Polygres 的前 1 个国家/地区是:United States 100.00%

Top 1 国家/地区

United States
100.00%

流量来源

GPU Per Hour 的 6 个主要流量来源是:vs_sourcesSearchOrganic 66.67%, 直接访问 19.28%, vs_sourcesSocialOrganic 5.11%, vs_sourcesGenAi 4.74%, 外链引荐 4.20%, 邮件 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%

vs_sourcesSearchOrganic
66.67%
直接访问
19.28%
vs_sourcesSocialOrganic
5.11%
vs_sourcesGenAi
4.74%
外链引荐
4.20%
邮件
0.00%
vs_sourcesAffiliate
0.00%
vs_sourcesDisplayAds
0.00%
vs_sourcesSearchPaid
0.00%
vs_sourcesSocialPaid
0.00%
Nov 2025 - Jul 2026 仅限全球桌面设备

流量来源

Polygres 的 6 个主要流量来源是:直接访问 57.14%, vs_sourcesSocialOrganic 21.37%, vs_sourcesSearchOrganic 13.47%, 外链引荐 5.27%, 邮件 2.75%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%

直接访问
57.14%
vs_sourcesSocialOrganic
21.37%
vs_sourcesSearchOrganic
13.47%
外链引荐
5.27%
邮件
2.75%
vs_sourcesGenAi
0.00%
vs_sourcesAffiliate
0.00%
vs_sourcesDisplayAds
0.00%
vs_sourcesSearchPaid
0.00%
vs_sourcesSocialPaid
0.00%
May 2026 - Jul 2026 仅限全球桌面设备

GPU Per Hour 或 Polygres哪个更好?

GPU Per Hour 可能比 Polygres 更受欢迎。如您所见,GPU Per Hour 每月有 32.4K 次访问,而 Polygres 每月有 11.6K 次访问。 所以更多的人选择了GPU Per Hour。 因此,人们很可能会在社交平台上更多地推荐 GPU Per Hour。

GPU Per Hour 的平均访问持续时间为 00:00:26,而 Polygres 的平均访问持续时间为 00:00:12。 此外,GPU Per Hour 的每次访问页面为 1.86,跳出率为 39.70%。 Polygres 的每次访问页面为 1.40,跳出率为 92.09%。

GPU Per Hour 的主要用户是United States, Turkey, Brazil, Vietnam, United Kingdom,分布如下:24.49%, 7.38%, 7.27%, 6.94%, 6.46%。

Polygres 的主要用户是 United States,分布如下:100.00%。

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