Akamai Brings AI Inference to the Edge for APAC Enterprises

Akamai is shifting AI workloads from centralized clouds to distributed edge infrastructure, where latency and proximity define competitive advantage.

Enterprises across Asia Pacific are moving past AI experimentation and confronting a hard reality: traditional cloud architectures were not designed for real-time inference at scale. Akamai is addressing this gap by running AI workloads on one of the world's most distributed cloud platforms, bringing GPU-powered compute closer to users and data. For CIOs and CISOs evaluating how to operationalize AI in production, this signals a structural change in how intelligent applications will be delivered.

What was announced

Akamai Technologies crossed $1 billion in annual APAC revenue in 2025, marking a turning point for the company's regional business. The milestone serves as a launchpad for Akamai's next growth phase, focused on enabling AI deployment closer to end users through edge inference.

The strategy is led by Sean Li, Senior Vice President of Sales and Managing Director, Asia Pacific region, who was recently appointed to oversee the region. Under his leadership, the APAC business is evolving to serve enterprises that need to operationalize AI in live environments.

APAC is moving beyond AI experimentation to execution. The real challenge now is making AI work in live environments, where latency, scale, and reliability directly impact revenue and the customer experience

Why this matters

For CIOs, CISOs, and IT procurement leaders, the shift from centralized model training to distributed inference has direct operational implications. Milliseconds increasingly determine outcomes in customer engagement, operational efficiency, and risk management. Use cases such as recommendation engines, live video intelligence, autonomous vehicles, assistive agents, and high-resolution video workflows cannot tolerate round-trip latency to distant data centers.

APAC's diversity is becoming a catalyst for innovation. Mature markets such as Japan and Australia are increasingly adopting managed infrastructure models to improve performance and resilience, while fast-growing economies across India, China, and Southeast Asia are producing AI-native companies built for speed and scale. Korea reflects both trends, with established enterprises modernizing legacy systems and digital-first players pushing AI-driven services forward.

Technical details

• Distributed cloud platform: GPU-powered compute deployed close to users and data across Akamai's global network.
• Edge inference workloads: recommendation engines, live video intelligence, autonomous vehicles, assistive agents, and high-resolution video workflows.
• Integrated security: AI application and workload protection embedded directly into the infrastructure.
• Architecture model: shift from centralized training to distributed inference for real-time outcomes.
• Regional reach: consistent operation across fragmented regulatory environments and varied network conditions in APAC.

By bringing cloud and inference closer to the point of interaction, we help customers move faster, respond in real time, and deliver better experiences at scale

Softprom and Akamai

Softprom is the official distributor of Akamai. Our team helps enterprises plan, deploy, and operate Akamai's edge cloud, security, and AI inference services in production environments.

This content was prepared as part of the Softprom DistriFlow project — an automated system for monitoring and adapting vendor news. Original source: original article.