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Vision language model that excels in understanding the physical world using structured reasoning on videos or images.
State-of-the-art 685B reasoning LLM with sparse attention, long context, and integrated agentic tools.
StreamPETR offers efficient 3D object detection for autonomous driving by propagating sparse object queries temporally.
DeepSeek-V3.1: hybrid inference LLM with Think/Non-Think modes, stronger agents, 128K context, strict function calling.
Japanese-specialized large-language-model for enterprises to read and understand complex business documents.
Qwen3-Next Instruct blends hybrid attention, sparse MoE, and stability boosts for ultra-long context AI.
State-of-the-art model for Polish language processing tasks such as text generation, Q&A, and chatbots.
80B parameter AI model with hybrid reasoning, MoE architecture, support for 119 languages.
DeepSeek V3.1 Instruct is a hybrid AI model with fast reasoning, 128K context, and strong tool use.
Reasoning vision language model (VLM) for physical AI and robotics.
Smaller Mixture of Experts (MoE) text-only LLM for efficient AI reasoning and math
Multilingual 7B LLM, instruction-tuned on all 24 EU languages for stable, culturally aligned output.
Generates high-quality numerical embeddings from text inputs.
Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
English text embedding model for question-answering retrieval.
Advanced reasoing MOE mode excelling at reasoning, multilingual tasks, and instruction following
Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
End-to-end autonomous driving stack integrating perception, prediction, and planning with sparse scene representations for efficiency and safety.
An MOE LLM that follows instructions, completes requests, and generates creative text.
An MOE LLM that follows instructions, completes requests, and generates creative text.
State-of-the-art, high-efficiency LLM excelling in reasoning, math, and coding.
An edge computing AI model which accepts text, audio and image input, ideal for resource-constrained environments
An edge computing AI model which accepts text, audio and image input, ideal for resource-constrained environments
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Distilled version of Llama 3.1 8B using reasoning data generated by DeepSeek R1 for enhanced performance.
Multi-modal model to classify safety for input prompts as well output responses.
Generates physics-aware video world states for physical AI development using text prompts and multiple spatial control inputs derived from real-world data or simulation.
Leading reasoning and agentic AI accuracy model for PC and edge.
Multimodal question-answer retrieval representing user queries as text and documents as images.
SOTA LLM pre-trained for instruction following and proficiency in Indonesian language and its dialects.
State-of-the-art, multilingual model tailored to all 24 official European Union languages.
FLUX.1-schnell is a distilled image generation model, producing high quality images at fast speeds
Updated version of DeepSeek-R1 with enhanced reasoning, coding, math, and reduced hallucination.
The NV-EmbedCode model is a 7B Mistral-based embedding model optimized for code retrieval, supporting text, code, and hybrid queries.
Lightweight multilingual LLM powering AI applications in latency bound, memory/compute constrained environments
Distilled version of Qwen 2.5 14B using reasoning data generated by DeepSeek R1 for enhanced performance.
Distilled version of Qwen 2.5 32B using reasoning data generated by DeepSeek R1 for enhanced performance.
Advanced small language generative AI model for edge applications
Distilled version of Qwen 2.5 7B using reasoning data generated by DeepSeek R1 for enhanced performance.
Sovereign AI model finetuned on Traditional Mandarin and English data using the Llama-3 architecture.
Cutting-edge MOE based LLM designed to excel in a wide array of generative AI tasks.
Sovereign AI model trained on Japanese language that understands regional nuances.
Sovereign AI model trained on Japanese language that understands regional nuances.
Sovereign AI model trained on Japanese language that understands regional nuances.
Efficient multimodal model excelling at multilingual tasks, image understanding, and fast-responses
Grounding dino is an open vocabulary zero-shot object detection model.
Topic control model to keep conversations focused on approved topics, avoiding inappropriate content.
FourCastNet predicts global atmospheric dynamics of various weather / climate variables.
Advanced AI model detects faces and identifies deep fake images.
Robust image classification model for detecting and managing AI-generated content.
Generates future frames of a physics-aware world state based on simply an image or short video prompt for physical AI development.
Lightweight multilingual LLM powering AI applications in latency bound, memory/compute constrained environments
Context-aware chart extraction that can detect 18 classes for chart basic elements, excluding plot elements.
Visual Changenet detects pixel-level change maps between two images and outputs a semantic change segmentation mask
EfficientDet-based object detection network to detect 100 specific retail objects from an input video.
