Keras
DeepInfra
Keras
| Launched | 2015-04 |
| Pricing Model | |
| Starting Price | |
| Tech used | Google Tag Manager,Amazon AWS CloudFront,Google Fonts,Bootstrap,Amazon AWS S3 |
| Tag | Software Development,Data Science,Code Generation |
DeepInfra
| Launched | 2017-12 |
| Pricing Model | Paid |
| Starting Price | |
| Tech used | Reddit Pixel,Amazon AWS CloudFront,Next.js,Emotion,Gzip,HTTP/3,OpenGraph,Webpack,Amazon AWS S3 |
| Tag | Inference Apis |
Keras Rank/Visit
| Global Rank | 147597 |
| Country | India |
| Month Visit | 308086 |
Top 5 Countries
11.24%
7.35%
5.51%
5.37%
4.28%
India
United States
Germany
Indonesia
Brazil
Traffic Sources
2.21%
0.71%
0.1%
8%
58.5%
30.45%
social
paidReferrals
mail
referrals
search
direct
DeepInfra Rank/Visit
| Global Rank | 109801 |
| Country | China |
| Month Visit | 367904 |
Top 5 Countries
19.4%
12.53%
6.93%
4.32%
3.82%
China
United States
India
France
Brazil
Traffic Sources
2.15%
0.62%
0.11%
9.76%
45.53%
41.84%
social
paidReferrals
mail
referrals
search
direct
Estimated traffic data from Similarweb
What are some alternatives?
When comparing Keras and DeepInfra, you can also consider the following products
DeepKE - DeepKE：高精度知识抽取的统一工具包。攻克低资源、多模态及文档级数据难题，构建强大的知识图谱。
Caffe - Caffe是一个深度学习框架，它以表达、速度和模块化为设计理念。
KeaML Deployments - 使用 KeaML 精简您的 AI 开发之旅——预配置环境、优化资源及协作工具。体验无缝 AI 项目。
ktransformers - KTransformers 是由清华大学 KVCache.AI 团队和 QuJing Tech 共同开发的开源项目，旨在优化大型语言模型的推理过程。它能够降低硬件门槛，在 24GB 显存的单 GPU 上运行 6710 亿参数的模型，并提升推理速度（预处理速度高达 286 tokens/s，生成速度高达 14 tokens/s），适用于个人、企业和学术用途。