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features
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support

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Description

Amazon Nova represents an advanced generation of foundation models (FMs) that offer cutting-edge intelligence and exceptional price-performance ratios, and it is exclusively accessible through Amazon Bedrock. The lineup includes three distinct models: Amazon Nova Micro, Amazon Nova Lite, and Amazon Nova Pro, each designed to process inputs in text, image, or video form and produce text-based outputs. These models cater to various operational needs, providing diverse options in terms of capability, accuracy, speed, and cost efficiency. Specifically, Amazon Nova Micro is tailored for text-only applications, ensuring the quickest response times at minimal expense. In contrast, Amazon Nova Lite serves as a budget-friendly multimodal solution that excels at swiftly handling image, video, and text inputs. On the other hand, Amazon Nova Pro boasts superior capabilities, offering an optimal blend of accuracy, speed, and cost-effectiveness suitable for an array of tasks, including video summarization, Q&A, and mathematical computations. With its exceptional performance and affordability, Amazon Nova Pro stands out as an attractive choice for nearly any application.

Description

Gemma represents a collection of cutting-edge, lightweight open models that are built upon the same research and technology underlying the Gemini models. Created by Google DeepMind alongside various teams at Google, the inspiration for Gemma comes from the Latin word "gemma," which translates to "precious stone." In addition to providing our model weights, we are also offering tools aimed at promoting developer creativity, encouraging collaboration, and ensuring the ethical application of Gemma models. Sharing key technical and infrastructural elements with Gemini, which stands as our most advanced AI model currently accessible, Gemma 2B and 7B excel in performance within their weight categories when compared to other open models. Furthermore, these models can conveniently operate on a developer's laptop or desktop, demonstrating their versatility. Impressively, Gemma not only outperforms significantly larger models on crucial benchmarks but also maintains our strict criteria for delivering safe and responsible outputs, making it a valuable asset for developers.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Nova 2 Sonic Yes 
Amazon Nova Canvas Yes 
Amazon Nova Reel Yes 
Androidfy No 
C++ No 
Elixir No 
Gemini Enterprise Agent Platform No 
Gemini Robotics No 
Gemma 2 No 
HelpNow Agentic AI Platform Yes 
Jan No 
Kerlig No 
Kotlin No 
Locally AI No 
MixTranslate Yes 
NativeMind No 
Python No 
TranslateGemma No 
Visual Basic No 
WebLLM No 

Integrations

Amazon Nova 2 Sonic No 
Amazon Nova Canvas No 
Amazon Nova Reel No 
Androidfy Yes 
C++ Yes 
Elixir Yes 
Gemini Enterprise Agent Platform Yes 
Gemini Robotics Yes 
Gemma 2 Yes 
HelpNow Agentic AI Platform No 
Jan Yes 
Kerlig Yes 
Kotlin Yes 
Locally AI Yes 
MixTranslate No 
NativeMind Yes 
Python Yes 
TranslateGemma Yes 
Visual Basic Yes 
WebLLM Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/ai/generative-ai/nova/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

ai.google.dev/gemma

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