Average Ratings 1 Rating

Total
ease
features
design
support

Average Ratings 1 Rating

Total
ease

Description

Gemma 4 is an advanced AI model developed by Google as part of its Gemini architecture, designed to deliver strong performance while remaining accessible to developers. The model is optimized to run on a single GPU or TPU, allowing more organizations and researchers to experiment with powerful AI technology. Gemma 4 improves natural language understanding and generation, making it suitable for applications such as chatbots, text analysis, and automated content creation. Its architecture enables the model to process complex language patterns while maintaining efficient computational performance. Developers can integrate Gemma 4 into various AI projects that require intelligent text processing or conversational capabilities. The model is designed with scalability in mind, allowing it to support both research experiments and production systems. By offering high-performance AI in a more accessible format, Gemma 4 lowers the barrier for developing sophisticated AI solutions. Its flexibility makes it useful for industries ranging from technology and education to business automation. Researchers can also use the model to explore new AI techniques and improve language processing systems. Overall, Gemma 4 represents a step forward in making powerful AI models easier to deploy and use.

Description

NVIDIA Nemotron 3.5 Super VL is a multimodal foundation model developed for AI agents that require reasoning, visual understanding, coding, and multistep task execution. Its 120-billion-parameter mixture-of-experts architecture activates approximately 12 billion parameters per token, enabling efficient inference while maintaining substantial model capacity. The model processes text, images, documents, and video within a unified system that combines multimodal interpretation with instruction following and tool use. Its document intelligence capabilities include extracting information from tables, analyzing charts, interpreting page layouts, and processing multipage documents. Video understanding features support visual information retrieval, content review, incident analysis, and reasoning across recorded sequences. The model also supports software engineering tasks such as code analysis, error identification, debugging, testing, and recommending fixes. Developers can customize Nemotron 3.5 Super VL using NVIDIA NeMo for supervised fine-tuning, low-rank adaptation, and reinforcement learning with domain-specific data. Its inference optimizations include speculative decoding, context reuse, multi-token prediction, and NVFP4 quantization to improve throughput and reduce computational requirements. The model is available with open weights and supports deployment across compatible local hardware, enterprise data centers, and cloud infrastructure.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

AiAssistWorks Yes 
BLACKBOX AI Yes 
C# Yes 
Clojure Yes 
Cloudflare AI Gateway Yes 
FriendliAI Yes 
Google AI Studio Yes 
Google Colab Yes 
Hermes Agent Yes 
Hugging Face Yes 
Locally AI Yes 
Mirai Yes 
NVIDIA NIM No 
Nebius Token Factory Yes 
Parasail Yes 
PyTorch Yes 
Scala Yes 
TypeScript Yes 
Vercel AI Gateway Yes 
vLLM No 

Integrations

AiAssistWorks No 
BLACKBOX AI No 
C# No 
Clojure No 
Cloudflare AI Gateway No 
FriendliAI No 
Google AI Studio No 
Google Colab No 
Hermes Agent No 
Hugging Face No 
Locally AI No 
Mirai No 
NVIDIA NIM Yes 
Nebius Token Factory No 
Parasail No 
PyTorch No 
Scala No 
TypeScript No 
Vercel AI Gateway No 
vLLM Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

$0
The model is available at no charge under the OpenMDW-1.1 license. Hosted inference through third-party providers may have separate charges.
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

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

Customer Support

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

Customer Support

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

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

Google

Founded

1998

Country

United States

Website

deepmind.google/models/gemma/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

nvidia.com

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