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What is Nemotron 3.5 Lightning?

NVIDIA's Nemotron 3.5 Lightning represents an advanced mixture-of-experts model that features an impressive 30 billion parameters, with 3 billion of these actively engaged, and is specifically designed to deliver efficient, high-throughput performance for AI agents that operate continuously over extended periods. This model is crafted for the execution aspects of agentic systems, skillfully handling common tasks such as invoking tools, verifying outputs, carrying out routine commands, and assigning responsibilities to subagents, while larger reasoning models focus on strategic planning and orchestration. By utilizing a mixture-of-experts framework, it selectively engages a limited number of parameters for each input token, effectively combining the vast potential of a larger model with substantially decreased computational requirements. The training process is fine-tuned for popular agent harnesses, significantly improving inference speed through methods like speculative decoding, multi-token prediction, DFlash, and DSpark, which enhance its adaptability to various operational contexts. Moreover, it supports BF16 and NVFP4 checkpoints, ensuring deployment flexibility across platforms ranging from local systems such as DGX Spark and GeForce RTX hardware to large-scale data center environments. This innovative design not only amplifies AI capabilities but also positions Nemotron 3.5 Lightning as a pivotal resource for the evolution of intelligent systems, paving the way for future advancements in the field.

What is MiMo-V2-Flash?

MiMo-V2-Flash is an advanced language model developed by Xiaomi that employs a Mixture-of-Experts (MoE) architecture, achieving a remarkable synergy between high performance and efficient inference. With an extensive 309 billion parameters, it activates only 15 billion during each inference, striking a balance between reasoning capabilities and computational efficiency. This model excels at processing lengthy contexts, making it particularly effective for tasks like long-document analysis, code generation, and complex workflows. Its unique hybrid attention mechanism combines sliding-window and global attention layers, which reduces memory usage while maintaining the capacity to grasp long-range dependencies. Moreover, the Multi-Token Prediction (MTP) feature significantly boosts inference speed by allowing multiple tokens to be processed in parallel. With the ability to generate around 150 tokens per second, MiMo-V2-Flash is specifically designed for scenarios requiring ongoing reasoning and multi-turn exchanges. The cutting-edge architecture of this model marks a noteworthy leap forward in language processing technology, demonstrating its potential applications across various domains. As such, it stands out as a formidable tool for developers and researchers alike.

Media

Media

Integrations Supported

Claude Code
Hermes Agent
Hugging Face
NVIDIA NemoClaw
OpenClaw
Xiaomi MiMo
Xiaomi MiMo Studio

Integrations Supported

Claude Code
Hermes Agent
Hugging Face
NVIDIA NemoClaw
OpenClaw
Xiaomi MiMo
Xiaomi MiMo Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

nvidia.com

Company Facts

Organization Name

Xiaomi Technology

Date Founded

2010

Company Location

China

Company Website

mimo.xiaomi.com/blog/mimo-v2-flash

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