Acrab Unveils GΞLIX 1 SoC and Agent Box, Bringing State-of-the-Art AI to the Edge

Built on a 5-nanometer process, the new SoC is designed to support models in the 100 billion parameter class, with full-stack software for private and responsive AI agents at the edge

SINGAPORE, July 23, 2026 /PRNewswire/ -- Acrab, a technology company building agentic AI compute infrastructure for the next generation of intelligent systems, today unveiled GΞLIX 1, its first-generation edge AI system-on-chip (SoC), together with Agent Box, a personal edge AI system powered by the company's full-stack computing platform.

As AI moves from generating answers to completing tasks, agents increasingly need to understand context, remember preferences and coordinate tools and devices in real time. Running these capabilities locally can produce faster responses, keep sensitive information under the user's control and maintain core functions when cloud connectivity is limited.

For years, models in the 100 billion parameter class have required cloud infrastructure. GΞLIX 1 is designed to bring state-of-the-art AI models at this scale into locally operated edge systems. Powered by GΞLIX, Acrab's Agent Box is a high-performance personal edge AI center designed to put AI agents into action in a more personal and customized way, with local large model inference, persistent memory, multimodal interactions and agent orchestration capabilities.

By replacing cloud AI's recurring token-fees per use, Agent Box is a one-time investment with long-term value, hence relieving users' token anxiety, and allowing AI to move from an occasional tool into an always-available assistant woven into everyday work and life.

"Generative AI helped people find answers. Agentic AI will help them get things done," said Dr. Ken Phua, CEO of Acrab. "Running models in the 100 billion parameter class on a system small enough to sit on a desk presents a significant computing challenge. GΞLIX 1 is designed to deliver the performance, memory bandwidth and responsive local inference required, while Agent Box shows how that capability can become a complete user experience."

A private AI center built for everyday life

Agent Box is designed as a private, always-on AI center for personal workspaces and homes. It keeps intelligence close to the people, information and physical environments it serves, while showing how device makers can turn Acrab's computing platform into complete agentic AI experiences.

For decades, personal computing advanced in predictable steps: faster processors, larger screens, more storage. Agent Box represents something else entirely—the first system designed not to run programs, but to host intelligence.

Agent Box brings together local language and vision model inference, multimodal interaction, persistent memory and an orchestration layer that can understand goals, break tasks into steps and coordinate action across agents, systems and connected devices. Users' data and memories remain private and stored locally on the device, while the system grows more capable and customized as the context deepens and memories accumulate. Acrab designed the compute architecture from the ground up to achieve optimal local AI performance, usability, cost efficiency, and power efficiency within one device.

A purpose-designed SoC for large model inference at the edge

GΞLIX 1 is built on a 5-nanometer process and is Acrab's first SoC designed specifically for edge AI. Rather than relying on separate compute components, it integrates CPU, GPU and NPU resources with a unified memory architecture engineered for large AI models and agentic workloads.

The SoC features a 20-core Arm CPU, multicore NPU acceleration and 273 GB/s of unified memory bandwidth. It is designed to support local deployment of open-source models in up to the 100 billion parameter class, with coordinated execution across CPU, GPU and NPU resources. Supporting models at this scale locally places substantial demands on computing performance, memory bandwidth and power efficiency.

GΞLIX 1 is engineered for rapid responses at power levels suitable for systems that remain active throughout the day. A central design goal was reducing the delay before a model begins to respond, particularly with long prompts and large context windows.

In company testing, GΞLIX 1 achieved a prefill rate of 1416.8 tokens per second under a Gemma 26B A4B configuration with a 40K KV cache and a 10K token input, compared with 188.9 tokens per second on Mac Mini M4 Pro, representing up to 7.5X faster prefill performance. These capabilities turn a single chip into a versatile supercomputing platform for a wide range of applications.

A full-stack platform, from silicon to applications

Beyond the SoC, Acrab has built the software and system layers needed to turn local model inference into working agentic products. These include an optimized runtime and developer toolchain, agent operating system capabilities, reference designs and applications that help devices understand context, retain memory and coordinate real-world action.

Agent Box is the first expression of Acrab's broader ambition to provide a horizontal computing foundation for agentic AI across a wide range of edge devices and intelligent systems.

Processing a substantial share of AI workloads locally can reduce dependence on metered cloud inference, lower recurring processing and data transfer costs, and avoid the delay involved in sending every interaction to a remote service. Cloud resources can still be used when a task requires them, allowing developers to choose the right balance between local and cloud execution.

Building a broader edge AI device ecosystem

Acrab plans to work with device manufacturers and developers to bring its computing platform into products including AI NAS systems, AI PCs, smart vehicles, and industrial and service robots.

Agent Box demonstrates how Acrab's silicon and software can be integrated into a complete product experience. The company aims to provide a complete set of compute platform and agent-native infrastructure for the next generation of AI transformation across industries. By combining custom AI silicon, full-stack software, and reference designs of agents for use scenarios, Acrab enables industry partners and developers to bring intelligent AI products to market faster.

"Our goal is to give device makers and developers the foundation to bring agentic intelligence into many different products and environments," Dr. Phua said. "Agent Box demonstrates what the technology can do today, while GΞLIX 1 and our full-stack platform are designed to support a much broader ecosystem of devices and applications."

Product Launch Event Video Replay:

• https://www.acrab.ai/
• https://www.youtube.com/watch?v=WdojjwucdTQ
• https://www.linkedin.com/events/7484797078045401088/

About Acrab

Acrab is a technology company building agentic AI compute infrastructure for the next generation of intelligent systems. Founded in 2024, the company develops high-performance AI compute architecture and integrated software platforms designed to bring AI agents into action, providing personalized assistance and real-time execution across a range of edge environments.

By combining purpose-designed silicon, advanced edge AI models, full-stack software and system orchestration, Acrab provides the computing foundation for AI agent systems across everyday life, bringing assistance, creativity, utility and value.

In June 2026, Acrab announced that it had received over US$350 million in cumulative financing from global venture capital firms and strategic industry investors, including early backers Vertex Ventures Southeast Asia & India, Vertex Growth, and K3.

For more information about Acrab, please visit https://www.acrab.ai/.

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

Acrab Unveils GΞLIX 1 SoC and Agent Box, Bringing State-of-the-Art AI to the Edge

Acrab Unveils GΞLIX 1 SoC and Agent Box, Bringing State-of-the-Art AI to the Edge

• Almost half of senior leaders (46%) say they are prepared only to a small extent to lead organisation-wide transformation driven by AI, while 2% report being not prepared at all.
• Keeping pace with rapidly evolving AI technology is cited as the most significant challenge (40%) faced by senior leaders, followed by regulatory and compliance uncertainty (37%) and insufficient budget or resources for AI adoption (36%).
• Only about a third of senior leaders (34%) have attended formal training or upskilling related to leadership in the AI era within the past two years. Over half (53%) are planning to do so in the coming months and years, with 13% reporting no plans to undertake such training.
• The most common shift in leadership approach is an increased focus on people management during AI-driven change, cited by 37% of leaders, particularly in supporting morale and employee well-being. This is followed by greater time spent on upskilling themselves and their teams (31%), and on strategic decision-making (30%). 

SINGAPORE, July 23, 2026 /PRNewswire/ -- Artificial Intelligence (AI) is reshaping how organisations operate and compete. However, the leaders responsible for steering this transformation report a gap between what is expected of them and their preparedness to deliver. Almost half of senior leaders (46%) say they are prepared only to a small extent to lead organisation-wide transformation driven by AI, while a further 2% report being not prepared at all. In comparison, 37% are prepared to a moderate extent, and only 15% consider themselves prepared to a large extent.

Senior leaders identify several factors contributing to this readiness gap. Keeping pace with rapidly evolving AI technology is cited as the top challenge (40%), followed by regulatory and compliance uncertainty (37%). Resource constraints are also a key pressure point, with 36% pointing to insufficient budget or resources for AI adoption. In addition, 34% highlight challenges related to data quality and governance, while another 34% cite the need to upskill or reskill employees to work effectively alongside AI.

These are some of the key findings from NTUC LearningHub's Special Report on Leadership in an AI-Driven World. The report surveyed 131 senior leaders from organisations of different sizes and across industries, including Infocomm Technology, Finance, Advanced Manufacturing, Healthcare and others. All respondents reported some level of experience with AI and are involved, to varying degrees, in AI adoption decisions within their organisation.

This readiness gap extends into decision-making. Senior leaders generally express moderate levels of confidence in making high-stakes AI-related decisions. Over two in five (43%) report being quite confident, while 13% say they are very confident. However, 40% indicate they are not very confident and 4% not confident at all.

Despite that, only about a third of senior leaders (34%) have attended formal training or upskilling on leading in an AI-driven workplace within the past two years. Among those who have not yet done so, many indicate plans to pursue training, including 22% within the next six months, 20% within the next year, and 11% within the next two years. Only 13% report having no plans to undertake such training. Among the training areas leaders prioritise, AI literacy and strategic understanding (57%) emerge as the key priority, followed by data-driven decision-making (46%), and ethical AI governance and responsible deployment (40%).

Alongside this, the most common shift in leadership approach is an increased focus on people management during AI-driven change, cited by 37% of leaders, particularly in supporting morale and employee well-being. This is followed by greater time spent on upskilling themselves and their teams (31%) and on strategic decision-making (30%). Ethical and governance considerations also feature strongly at 27%, alongside a similar share who report dedicating more effort to change management (27%), including communicating how AI may affect roles and ways of working.

These shifts reflect a broader recognition among leaders that navigating AI transformation requires more than technical fluency alone. Two in five (40%) senior leaders regard human-centric skills as very important in leading an organisation in the AI era, while nearly half (48%) consider them to be quite important. Among the capabilities leaders consider most critical, creative thinking and critical thinking each emerge at 47%, closely followed by sense-making (46%), problem-solving (44%) and effective communication (43%).

Commenting on the report's findings, Mr Sean Lim, Chief Human Resource Officer, NTUC LearningHub, says, "The gap between expectation and readiness reflects a fundamental shift in what is required of leadership in today's AI era. Leaders were once expected to hold all the answers and direct from the top. However, they must now act as strategic navigators, making sense of complexity and providing guidance through this period of rapid change and uncertainty. This means a shift towards coaching and empowering people, while also aligning competing priorities across technology, business and operational needs. It is a demanding shift, but it is encouraging to know that many senior leaders are already planning to further their own development to lead their teams through this period of AI transformation."

To download the Special Report on Leadership in an AI-Driven World, please visit https://www.ntuclearninghub.com/media/research-reports/2026/Leadership-AI-World. To find out more about the courses, training, and grants, please contact NTUC LearningHub at www.ntuclearninghub.com.

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About NTUC LearningHub

NTUC LearningHub is the leading Continuing Education and Training provider in Singapore which aims to transform the lifelong employability of working people. Since our corporatisation in 2004, we have been working with employers and individual learners to provide learning solutions in areas such as Infocomm Technology, Generative AI & Cloud, Healthcare, Retail & Food Services, Employability & Literacy, Business Excellence, Workplace Safety & Health, Security, Human Resources & Coaching and Foreign Workers Training.

To date, NTUC LearningHub has helped over 34,000 organisations and achieved more than 3.2 million training places across more than 1,000 courses with a pool of about 1,000 certified trainers. As a Total Learning Solutions provider to organisations, we also forge partnerships to offer a wide range of relevant end-to-end training. Besides in-person training, we also offer instructor-led virtual live classes (VLCs) and asynchronous online learning. The NTUC LearningHub Learning eXperience Platform (LXP)—a one-stop online learning platform—offers timely, bite-sized and quality content for learners to upskill anytime and anywhere. Beyond learning, LXP also serves as a platform for jobs and skills development for both workers and companies.

For more information, visit www.ntuclearninghub.com.

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

Nearly Half of Senior Leaders Feel Only Partly Prepared to Lead AI Transformation, as Ambition Outpaces Readiness