MAGIC Research launches Fabric Hypergrid as first private, multi-model, multimodal AI infrastructure for organizations to significantly grow AI capabilities and cut costs.

ORLANDO, Fla., April 8, 2025 /PRNewswire/ — MAGIC Research, a collaborative research program, virtual incubator, and service center for artificial intelligence (AI) and advanced technologies, announces today the launch of Fabric Hypergrid, the industry’s first private, generative AI distributed computing hypergrid. Fabric Hypergrid is a multi-model, multimodal and hardware-agnostic AI platform designed to cut AI computing costs by 90% while giving businesses full control over their AI capabilities and data.

Traditional cloud and AI providers rely on expensive, centralized, and energy-intensive data centers and GPUs to power large language models, creating barriers for businesses focused on cost efficiency, data security, and privacy. However, an estimated 80% of AI requests do not require these resource-heavy models. Fabric Hypergrid optimizes AI workloads by strategically deploying tasks across a mix of state-of-the-art and/or legacy GPUs, CPUs, and accelerators, reducing costs while maximizing efficiency. This allows organizations to turn their existing hardware into an enterprise-grade AI supercomputer at a fraction of the cost without compromising speed, security, or scalability.

Fabric Hypergrid powers text, image, audio, and video generation, as well as complex multimodal workflows like course creation and enterprise automation. The platform also supports complex business operations and research initiatives, including molecular research, protein folding, material physics, mathematical computation, and computational chemistry. The technology is built on five core technologies that work together to maximize efficiency and minimize cost at every level:

1. Router – Dynamically selects the best model for each prompt, ensuring high-quality outputs at the lowest cost.
2. Orchestrator – Intelligently distributes tasks between state-of-the-art and legacy GPUs and CPUs, reducing dependency on expensive cloud infrastructure.
3. Accelerator – Accelerates AI models by up to 20x, maximizing model performance and tokens per second.
4. Diffuser – Fabric Hypergrid is capable of splitting a single model across a global network of distributed computational resources, eliminating the need to run large models on expensive, centralized infrastructure, data centers, or heterogeneous systems.
5. Adaptive Runtime – Enables organizations to bring their existing hardware, like multiple operating systems and legacy GPUs, and combine them to create one generative AI supercomputer.

“We created Fabric Hypergrid to fill a critical gap in the market for a scalable, high-performance infrastructure capable of harnessing generative AI and advanced computational intelligence for research. Our customers needed a solution adaptable enough to keep pace with their evolving demands,” said Humberto Farias, founder of MAGIC Research. “At MAGIC Research, our mission is to democratize AI for everyone. But in searching for the right AI partner, we found existing platforms were prohibitively expensive, lacked robust privacy features, and weren’t flexible enough. That’s why we built our own affordable, distributed AI infrastructure to ensure organizations of all sizes can access the cost, privacy, and flexibility they need.”

Fabric Hypergrid’s Key Benefits:

• Up to 90% cost reduction: Multi-model and bring-your-own-hardware design allows companies to run AI on existing infrastructure, handling simple tasks with less powerful hardware.
• Privacy-first network: Offers decentralized system and ability to use on-prem, cloud, or hybrid hardware to let companies host tasks privately, giving full control over where data is stored, who can access it, and how it’s encrypted.
• Smart energy usage and waste reduction: Makes use of idle global GPU capacity and smart techniques like parallel processing, memory sharing, and load balancing to reduce energy waste.
• Customizable and scalable: Supports bespoke solutions with flexible workflows, plugins, and APIs, all tailored to unique business needs.
• Flexible Deployment. Fabric Hypergrid can be installed on-prem, in the cloud, or in hybrid environments. This lets companies choose the best configuration for their compliance, security, and performance needs, without vendor lock-in.

“Getting started with enterprise AI can be daunting, but Fabric Hypergird simplifies the process with a plug-and-play design, ready-to-use models, and easy orchestration. By enabling companies to use their own hardware and private SLM/LLMs, we ensure data remains secure and in-house, making AI more accessible, efficient, and affordable for all organizations – not just the biggest players. It’s your AI, your cloud, your rules,” Farias continued.

Find out how to transform your business with Fabric Hypergrid online here.

About MAGIC Research
MAGIC Research (Machine Advancements and Generative Intelligence Center) is a pioneering generative artificial intelligence (AI) and advanced computational intelligence (ACI) innovation hub dedicated to simplifying complex AI and ACI implementations and making them trustworthy, scalable, and accessible. With a world-class team of experts spanning computer science, engineering, physics, mathematics, and medicine, MAGIC specializes in AI and ACI research, enterprise AI solutions, advanced ACI research solutions, and next-generation computational frameworks. MAGIC is revolutionizing the way businesses, startups, and research institutions leverage AI and ACI—delivering high-performance, cost-efficient, and adaptable AI infrastructure for the future.

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SOURCE MAGIC Research