Activeport Group (ASX:ATV) Announces AI Gateway Platform to Target $25B Market

Activeport Group Ltd (ASX: ATV) has strategically entered the artificial intelligence market, announcing the launch of its AI Gateway platform. This move marks a significant evolution from the company’s established cloud gaming infrastructure. The new platform leverages Activeport’s proven GPU orchestration expertise to address the rapidly expanding $25 billion global AI inference market, positioning the company as a key provider of sovereign AI hosting solutions.

In an investor update to the ASX, the company detailed its strategic expansion into GPU orchestration for AI inference. The solution combines unified routing intelligence with enterprise-grade API compatibility and secure local GPU execution on private infrastructure. This positions Activeport as the preferred software layer for private AI clouds across the telecommunications, government, and enterprise sectors.

What are the key features of the Activeport AI Gateway for sovereign AI hosting?

The platform transforms traditional GPU clusters into private AI inference foundries, delivering a sovereign, low-latency private cloud solution that integrates seamlessly with major public platforms. Its hybrid approach allows organisations to maintain complete control over their AI processing whilst retaining full compatibility with established cloud providers.

The AI Gateway features several core capabilities:

• Private GPU execution of hundreds of models on sovereign, secure local GPU clusters.
• Hybrid cloud flexibility with full OpenAI, Bedrock, and Vertex AI compatibility.
• Smart model routing via real-time selection by cost, speed, context window size, and data residency requirements.
• Scalable orchestration with auto-provisioning of GPU nodes, workload management, and zero-touch scalability.

Peter Christie, Chairman and CEO of Activeport Group Ltd, explained the rationale in the ASX announcement: “Many of our telco customers are making significant investments in GPUs to operate sovereign AI models. Activeport already delivers a zero-touch deployment and orchestration solution for GPUs for cloud gaming, so extending this to AI inference is a natural progression.”

How does the AI Gateway platform address growing market demands?

The Activeport AI Gateway Launch responds to critical market demands for organisations requiring complete control over their AI processing whilst maintaining data privacy and regulatory compliance. Furthermore, the platform addresses several key challenges facing modern enterprises implementing artificial intelligence solutions.

Data Sovereignty and Compliance: The platform ensures AI processing occurs within controlled, locally-managed infrastructure, meeting stringent government and enterprise security requirements. This capability is particularly valuable for organisations in regulated industries.

Performance Optimisation: By processing AI workloads locally, organisations can significantly reduce latency compared to public cloud APIs. This performance advantage is crucial for real-time applications requiring sub-millisecond response times.

Cost Predictability: Private AI inference eliminates the unpredictable pricing fluctuations associated with public APIs, providing organisations with more predictable operational costs for large-scale AI deployments.

Why are enterprises shifting to private AI infrastructure solutions?

The global AI inference market is experiencing a fundamental shift towards private, low-latency, and sovereign execution models. Several factors are driving this transition, making Activeport’s entry particularly timely.

Regulatory Requirements: Governments and industries increasingly mandate data sovereignty, requiring AI processing to occur within specific geographic boundaries. These requirements create substantial opportunities for platforms offering sovereign AI hosting capabilities.

Latency Constraints: Real-time applications demand response times that public APIs cannot consistently deliver. In addition, edge computing applications require local processing capabilities that traditional cloud services cannot effectively provide.

Security Concerns: Sensitive information requires air-gapped processing environments that maintain complete data control. Christie highlighted a specific opportunity, stating, “We’re particularly excited about opportunities in hosting Diffusion models that can leverage our expertise in streaming optimisation to boost performance.”

What are the competitive advantages of Activeport’s AI platform?

The AI Gateway leverages several established competitive advantages developed through years of telco-grade GPU orchestration. These advantages position Activeport uniquely within the competitive AI infrastructure market.

Proven Infrastructure: The company’s orchestration platform already powers massive GPU deployments for some of the world’s largest telecommunications providers, operating cloud gaming services at enterprise scale.

Technical Expertise: Deep knowledge of GPU orchestration, streaming optimisation, and low-latency performance provides a solid foundation for AI inference applications.

Customer Relationships: Existing telco clients are actively investing in GPU infrastructure for AI applications, creating natural expansion opportunities for Activeport’s new platform.

Scalable Architecture: The platform’s design enables enterprise-grade deployments with zero-touch management, crucial for organisations requiring reliable AI inference at scale.

How does the platform support hybrid cloud strategies?

The solution delivers exceptional hybrid cloud flexibility, enabling organisations to seamlessly integrate private GPU infrastructure with major public cloud platforms. This integration capability represents a significant advantage for enterprises adopting gradual AI adoption strategies.

The platform maintains full compatibility with OpenAI, AWS Bedrock, Google Vertex AI, Cerebras, and Groq, allowing organisations to leverage multiple AI providers through a unified interface. The smart model routing capability enables real-time selection by cost, speed, context window size, and data residency requirements, ensuring optimal performance and cost efficiency.

This hybrid approach is particularly valuable for organisations managing diverse AI workloads with varying security, performance, and cost requirements. By combining private GPU execution with public cloud integration, the platform delivers unprecedented flexibility in AI deployment strategies.

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