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Description

K2 Horizon comprises a network of six open models, including the 375B-A23B, 36B-A4B, 32B, 7B, 3.7B, and 0.9B, all engineered to excel in various domains such as reasoning, mathematics, coding, agentic tasks, and overall capabilities. These models share a unified architecture, vocabulary, training techniques, interfaces, evaluation frameworks, and deployment tools, facilitating seamless transitions between sizes and dynamic workload management. The fleet's flagship, the 375B-A23B model, is particularly adept at handling intricate reasoning, software development, research projects, and long-term agentic functions, while the 32B and 36B-A4B models focus on delivering robust local deployment solutions. Notably, the 36B-A4B model features an innovative Mixture-of-Value Attention mechanism, which merges sparse attention with Mixture-of-Experts layers, allowing it to engage approximately 4 billion parameters per token and compete closely with the performance of the denser 32B model. This architecture not only enhances flexibility but also maximizes resource efficiency across a wide range of applications.

Description

NVIDIA's Nemotron 3.5 Lightning is a state-of-the-art mixture-of-experts model boasting 30 billion parameters, of which 3 billion are actively utilized, specifically engineered for efficient, high-throughput performance in long-duration and continuously operating AI agents. This model is tailored for the execution components of agentic systems, adeptly managing frequent operations like tool invocations, output verification, routine commands, and delegating tasks to subagents, while larger reasoning models concentrate on strategic planning and orchestration. By employing a mixture-of-experts architecture, it activates only a select subset of parameters for each input token, marrying the expansive capacity of a larger model with significantly reduced computational demands. The training of this model is optimized for widely used agent harnesses and enhances inference speed through techniques such as speculative decoding, multi-token prediction, DFlash, and DSpark, making it versatile across various operational scenarios. Additionally, it is compatible with BF16 and NVFP4 checkpoints, providing flexibility in deployment from local systems like DGX Spark and GeForce RTX hardware to extensive data center infrastructures. In summary, its innovative design and scalability make it a powerful tool for advancing AI capabilities.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Hermes Agent No 
NVIDIA NemoClaw No 
OpenClaw No 
Portable Computer by Perplexity No 

Integrations

Hermes Agent Yes 
NVIDIA NemoClaw Yes 
OpenClaw Yes 
Portable Computer by Perplexity 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 No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

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

Institute of Foundation Models

Founded

2025

Country

United States

Website

ifm.ai/blog/k2/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

nvidia.com

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