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GLM-4.7-FP8 is one of the latest models focused on this new generation of developer-centric AI. Developed by Z.ai, GLM-4.7 introduces improvements in agentic coding, reasoning, and tool usage, while t
One of the latest models gaining attention among developers is MiniMax-M2.1, released by MiniMax AI. Built with a Mixture-of-Experts architecture, the model is designed for software engineering tasks,
Built on a massive Mixture-of-Experts (MoE) architecture, Kimi K2 Thinking is the latest and most capable version of Moonshot AI's open-source thinking model family. It is purpose-built for deep step-
From large language models and multimodal reasoning systems to diffusion pipelines for image generation, some of the most rapid innovation in AI is happening in the open. However, while the models the
Nemotron-3 Super is a 120-billion-parameter model with 12 billion active parameters, built specifically for modern AI workloads that require planning, reasoning, and interaction with tools. The model
Official announcements from Qubrid AI
Qubrid AI, a leading Open, Inference-First Full-Stack AI Platform company, today at NVIDIA GTC 2026 announced the addition and acceleration of over forty open-source models powered by NVIDIA AI infrastructure. Enterprise agent developers can simply integrate a single API provided by Qubrid and inference over forty models from within their agentic application, decide which model suits their requirements and then scale using NVIDIA GPU VMs or dedicated GPU servers all running on Qubrid's advanced AI platform.
Instead of requiring the full compute footprint of a 400B-parameter model at every step, Qwen3.5 dynamically activates only a subset of its parameters. This allows developers to access large-model int
Sharvari Raut
Choosing a text model is not about picking the biggest one. It is about matching the model to your use case, latency, and cost constraints. Start with your use case first. Are you building a chatbot,
Sharvari Raut
Have you ever wondered what really happens behind the scenes when you call an AI API and get a response in seconds? Running open model APIs at scale sounds simple on the surface. You spin up GPUs, h
Sharvari Raut
AI video generation has been impressive to watch, but it hasn’t been truly usable - at least not inside real products, real workflows, or systems where iteration speed determines whether users stay or
Shubham Tribedi
For years, OCR has been treated as a solved problem. Extract text from an image, dump it into a file, and move on. But anyone who has actually built production systems knows the truth - real-world documents are messy. They are skewed, low resolution,...
Shubham Tribedi
High-performance LLM inference powered by NVIDIA Nemotron 3 Nano, running on Qubrid AI. Master long-context reasoning, coding, and agent workflows using NVIDIA’s most efficient open LLM. A practical guide by the Qubrid AI team for developers and star...
Shubham Tribedi
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"Qubrid helped us turn a collection of AI scripts into structured production workflows. We now have better reliability, visibility, and control over every run."
AI Infrastructure Team
Automation & Orchestration