Jamba is an advanced large language model (LLM) and open-source platform that AI21 Labs developed. It is designed to deliver high performance and efficiency for enterprise applications. This AI combines Transformer and Mamba layers with a mixture of expert approaches.
The tool then helps optimize memory usage, throughput, and overall performance. It facilitates transparency and adaptability to enterprises' various needs.
Moreover, there is an extended context window that can take up to 256,000 tokens. These tokens enable the processing of extensive textual data and outperform many competitors. The model is highly scalable and can be used for large-scale deployments.
Performance Score
A
AI Deployment Quality
Good
Interface
User-Friendly Interface
AI Technology
Open LLM Infrastructure
Purpose of Tool
The purpose of this AI tool is to provide deployment and self-hosted solutions to users.
Compatibility
Website Browsers
Pricing
Free trial, along with pay-as-you-go, and custom plans
Who is best for using Jamba?
- Enterprises: It can be used by enterprises seeking cost-effective, high-performance AI solutions with ease.�
- Developers: It can be used by developers who are in constant need of customizable, self-hosted LLMs.�
- AI researchers: If you�re a researcher who is interested in hybrid architectures and long-context modeling, Jamba is designed for you.�
- Data-heavy organizations: Organizations handling large documents or transcripts can use this AI to save time.�
- Startups: It can also be used by startups looking for transparent, open-weight alternatives to proprietary models.
Hybrid Architecture
Extended Context Window
Scalability and Efficiency
Open Model
Mixture of Experts (MoE)
High Throughput
Low Memory Use
Is Jamba Free?
Yes, it can be used for free in its free trial. However, plans such as pay-as-you-go and custom pricing are also available. The details are as follows:
Free Trial
- $10 credits for 3 months.
- No credit card needed
Pay As You Go
- Usage-based pricing
- Foundation model APIs & SDK
- Unlimited seats
Custom Plan
- Everything in the Pay-As-You-Go Plan
- Volume discounts
- Premium API rate limits
Other than these plans, foundation models with tokens are also available. Their details are listed below:
Jamba Mini
- $0.2 / 1M input tokens
- $0.4 / 1M output tokens
Jamba Large
- $2 / 1M input tokens
- $8 / 1M output tokens
Jamba Pros and Cons
The context window provided by this AI tool is around 256k tokens.
It is an open-source solution with an Apache 2.0 license.
Jamba provides efficient architecture with reduced memory usage.
The solutions offered by this AI are highly scalable.
You need technical expertise for the optimal use of this AI.
The ecosystem supported by this AI is limited as compared to Claude.
