Deploying enterprise AI on energy-efficient CPUs: Our Computex 2025 showcase with Ampere

At Kamiwaza, we're constantly pushing the boundaries of what's possible with AI orchestration. One of our core missions has always been to make sophisticated AI capabilities accessible to organizations regardless of their infrastructure constraints or technical expertise.
We're excited to announce that at Computex 2025, we are demonstrating a breakthrough solution developed through our collaboration with Ampere Computing in the AI Platform Alliance. This solution challenges one of the most persistent barriers to enterprise AI adoption: the perceived requirement for specialized hardware.

Rethinking AI Infrastructure Requirements
For years, enterprises have been told that implementing generative AI requires massive investments in specialized infrastructure. This perception has created significant barriers to adoption, especially for organizations with strict data sovereignty requirements or limited infrastructure budgets.
Our collaboration with Ampere proves there's another path forward. By optimizing our multi-agent AI orchestration system for Ampere's energy-efficient CPU architecture, we've created a solution that delivers sophisticated AI capabilities without the power consumption, cooling requirements, or specialized expertise typically associated with AI deployments.

What You'll See at Computex
Attendees at Computex 2025 will witness our AI orchestration solution showcasing true multi-agent workflows powered by AmpereOne® M processors. The demonstration features:

• A comprehensive AI ecosystem with 13 different models running simultaneously—ranging from 3B to 24B parameters—including a 7B visual language model for document processing
• All models remain loaded in memory concurrently, enabling seamless agent collaboration without performance-degrading model swapping
• Processing of complex handwritten documents (including 100-year-old invoices) in just a few minutes.
• Extraction of structured data with accuracy comparable to human experts
• Simultaneous handling of multiple sophisticated workflows on a single processor
• Our visual interface showing specialized AI agents collaborating in real-time across diverse tasks

Most importantly, all of this happens on standard CPU architecture, consuming 3-5x less power than equivalent solutions.

The Power of Multi-Agent Architecture
This demonstration illustrates why agentic AI is most effectively implemented through specialized agents using different models working in concert. The AmpereOne® M processor makes this possible through its unique combination of advantages:

• Superior bandwidth: Delivers CPU inference performance that significantly outpaces other CPU solutions on the market
• Exceptional memory capacity: Enables loading multiple models (from 3B to 24B parameters) simultaneously, keeping them ready for instant inferencing as workflows demand
• Unmatched flexibility: Supports both Ampere's optimized llama.aio for inference and mainstream llamacpp, allowing organizations to immediately leverage the latest features

While Ampere provides the inferencing muscle, Kamiwaza delivers the enterprise-grade orchestration:

• Securely connecting agents to your data sources
• Enforcing permissions across all agents and data
• Enabling agentic systems to use your data regardless of location
• Intelligently managing workflows between specialized AI agents

The result is a solution that delivers sophisticated AI capabilities without the power consumption, cooling requirements, or specialized hardware typically associated with advanced AI deployments.

Beyond Document Processing
While document processing provides a compelling demonstration of the solution's capabilities, our collaboration with Ampere enables much more. The same approach can be applied to other enterprise AI use cases, including:

• Automated customer support workflows
• Financial analysis and reporting
• Sales intelligence and forecasting

Each of these applications benefits from our multi-agent approach, where specialized AI agents collaborate to solve complex problems while being efficiently orchestrated across available computing resources.

Practical AI for Enterprise Needs
This solution directly addresses the three major barriers to enterprise AI adoption:

1. Cost: By leveraging standard CPU infrastructure, organizations can implement AI capabilities without massive hardware investments
2. Complexity: The solution integrates with existing enterprise infrastructure without specialized cooling or power requirements
3. Control: All processing happens on-premises where your data resides, maintaining complete security and compliance

For organizations that have hesitated to adopt AI due to these concerns, our collaboration with Ampere offers a practical path forward that aligns with existing infrastructure strategies.

What's Next
Following Computex, we'll be working with Ampere and leading OEMs to deliver validated configurations that make it even easier for enterprises to deploy this solution. With Kamiwaza and Ampere, organizations can get up and running in days rather than months, without specialized expertise.

For those unable to attend, we'll be hosting a technical webinar in the coming weeks to provide a deeper look at the solution and answer your questions. Download the solution brief to stay notified about upcoming demonstrations and webinars.

We're excited about the possibilities this collaboration opens up for enterprise AI adoption, and we look forward to helping more organizations unlock the value of their data without the traditional infrastructure barriers.
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