Qubrid AI Signs ASI as Distributor for AI Controller Software and GPU Appliances

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FREMONT, Calif., April 25, 2025 /PRNewswire/ — Qubrid AI, a leader in enterprise AI solutions, today announced a distribution agreement with ASI Corporation, a premier technology distributor, to bring Qubrid AI’s advanced AI Controller software and high-performance AI GPU Appliances to market. This strategic partnership will expand access to Qubrid’s innovative AI solutions through ASI’s extensive network of resellers and system integrators. “We’re […]

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Qubrid AI Accelerates Enterprise AI Adoption with New AI Controller Software Release Powering On-Prem AI GPU Appliances

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MCLEAN, Va., April 21, 2025 /PRNewswire/ — Qubrid AI a leader in enterprise AI solutions, today announced the release of AI Controller v1.1, a powerful software update that enhances the functionality of Qubrid’s On-Prem AI GPU Appliances. Purpose-built for secure, scalable, and high-performance AI workloads, the AI Controller software enables enterprises to take control of their AI infrastructure – on their own terms.

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Qubrid AI Unveils Advanced AI GPU Cloud Capabilities and Previews Roadmap for Agentic Workbench

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MCLEAN, Va., April 21, 2025 /PRNewswire/ — Qubrid AI, a leader in enterprise AI solutions, today announced a major update to its AI GPU Cloud Platform (V3), along with a robust roadmap featuring App Studio and the forthcoming Agentic Workbench – a transformative toolkit designed to simplify the creation and management of intelligent AI agents.

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Interacting with RAG UI on Qubrid AI Platform

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Introduction What is a RAG? Retrieval-Augmented Generation (RAG) is an AI technique that improves the performance of large language models (LLMs) by incorporating external knowledge sources into their responses. Rather than relying solely on static training data, RAG retrieves relevant, real-time, and domain-specific information from external databases or documents, enabling more accurate and contextually relevant

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Deploying Hugging Face Models on Qubrid AI Platform

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This guide walks you through using Hugging Face models on the Qubrid AI platform, including deployment on instances with on-demand GPUs. Note: Currently, this feature supports only Text Generation (instruct-type) models from Hugging Face. Pre-requisites Finding the Model Name To deploy a model from Hugging Face, you need its model name, which is part of the model’s URL.

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Whitepaper:  Impact of Fine-tuning: An In-Depth Study of Pre-trained and Fine-tuned Model Performance 

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Abstract In this white paper, we present an in-depth evaluation of fine-tuned large language models (LLMs) from the Llama series, specifically focusing on Llama 3.1 8B Instruct, Llama 3.1 70B Instruct, Llama 3.2 1B Instruct, and Llama 3.2-3B Instruct models. These models were fine-tuned using Qubrid AI’s proprietary question-answer dataset, designed specifically for training in

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Qubrid AI Announces NVIDIA NIM Integration into Its On-Prem and Cloud AI Platform

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The Qubrid AI platform offers developers a simplified no-code solution to run, fine-tune and deploy AI models ATLANTA, Nov. 19, 2024 /PRNewswire/ — Qubrid AI, a leading provider of enterprise AI solutions, is thrilled to announce it has integrated NVIDIA NIM microservices into its on-prem and cloud AI platform. The integration of NIM enables Qubrid AI’s customers to more easily leverage and deploy

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