Keras VS DeepInfra

Let’s have a side-by-side comparison of Keras vs DeepInfra to find out which one is better. This software comparison between Keras and DeepInfra is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether Keras or DeepInfra fits your business.

Keras

Keras
Discover the power of Keras: an API designed for human beings. Reduce cognitive load, enhance speed, elegance, and deployability in Machine Learning apps.

DeepInfra

DeepInfra
Run the top AI models using a simple API, pay per use. Low cost, scalable and production ready infrastructure.

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: Unified toolkit for high-precision Knowledge Extraction. Conquer low-resource, multimodal, & document-level data to build robust Knowledge Graphs.

Caffe - Caffe is a deep learning framework made with expression, speed, and modularity in mind.

KeaML Deployments - Streamline your AI development journey with KeaML - pre-configured environments, optimized resources, and collaborative tools. Experience seamless AI projects.

ktransformers - KTransformers, an open - source project by Tsinghua's KVCache.AI team and QuJing Tech, optimizes large - language model inference. It reduces hardware thresholds, runs 671B - parameter models on 24GB - VRAM single - GPUs, boosts inference speed (up to 286 tokens/s pre - processing, 14 tokens/s generation), and is suitable for personal, enterprise, and academic use.

More Alternatives