We do this by enabling enterprises, startups, and developers to have their own OpenAI-equivalent compound AI systems, models, and agents that can work on commodity hardware at a fraction of the cost.
Back in the mainframe era, software applications faced high hardware dependency, hefty costs, and limited scalability. However, operating systems like Linux and Windows eventually solved these problems by bridging the gap between hardware and software. Today, generative AI is encountering similar hurdles—high costs, high hardware dependency, and scalability issues. So yes, we are kind of back in the mainframe era all over again.
We are on a mission to democratize access to generative AI, making it practical, affordable, profitable, and scalable for everyone. To achieve this, we’re reengineering the fundamentals of GenAI systems, from runtime environments to model architectures to agent frameworks. We make GenAI portable, scalable, and independent of specialized hardware.
As the first step toward our mission, we have created the Bud Inference Engine, a GenAI runtime and inference software stack that delivers state-of-the-art performance across any hardware and operating system. It reduces the Total Cost of Ownership (TCO) of GenAI solutions by up to 55 times and ensures production-ready deployments on Intel CPUs, Xeons, Gaudis, NPUs, and GPUs. Bud Runtime delivers GPU-like performance for GenAI solutions using CPUs.
Bud Runtime achieves GPU-like throughput, latency, and scalability on CPUs, delivering state-of-the-art performance and optimizations across diverse hardware platforms. It reduces the Total Cost of Ownership (TCO) of GenAI solutions by up to 55 times, ensuring production-ready deployments on CPUs, NPUs, HPUs, and GPUs.
SOTA Performance
SOTA Optimization
Scale across all platforms with a unified API, making Gen AI applications hardware, OS, and framework agnostic while maintaining consistent & reliable performance.
Singular API Interface
SSDK Kit
Cloud APIs & Local LLM support
For up to 70% more throughput, Bud Runtime leverages unused CPU of GPU and HPU machines, allowing GenAI application to run across Nvidia, Intel, AMD and other devices simultaneously.
Cluster management
Model Architecture & Modality agnostic
Meets top industry standards for compliance (CWE, MITRE, ATT&CK, white house guidelines for responsible AI), security, prompt scalability and integrations, ready for enterprise deployment.
Easy to use interface
Easy deployment & scaling of GenAI applications
Case Studies on How Bud Makes GenAI More Practical, Profitable, and Scalable.
Deep dive into groundbreaking research and innovations shaping the future of GenAI
What’s new? We’ve got some exciting developments to share!
GenAI Made Practical, Profitable and Scalable!
.png)
© 2025, Bud Ecosystem Inc. All right reserved.
