On the opening day of COMPUTEX 2026, AIC Inc. hosted a high-level strategic panel session at its booth, focusing on overcoming the "memory wall" challenge. Industry giants and key strategic partners, including NVIDIA and VAST Data, joined AIC for a presentation on their latest platforms designed to eliminate bottlenecks in Large Language Model (LLM) inference and intensive AI workloads, marking a critical evolution in active AI storage driven by Agentic AI in 2026.
In his opening remarks, Michael Liang, CEO and President of AIC, outlined the new challenges facing AI infrastructure as AI applications enter the "Long Context" era. The transition to long-context and Agentic AI has completely shifted the primary AI infrastructure bottleneck from raw computational speed to massive data movement and memory bandwidth constraints—a hurdle commonly known as the "Memory Wall."
Liang emphasized that the shift toward autonomous AI agents executing task decomposition and multi-step APIs is fundamentally transforming data center demands and reshaping underlying AI infrastructure. Consequently, AIC is actively collaborating with NVIDIA and VAST Data to develop advanced, AI-native storage solutions. By integrating the NVIDIA Vera BlueField-4 STX Storage Processor into its hardware platforms, AIC is building the essential infrastructure required to eliminate bottlenecks and accelerate workloads for Agentic AI applications.
NVIDIA Ecosystem Scales Agentic AI Adoption Worldwide
Jason Hardy, NVIDIA's Vice President of Storage Technology, highlighted the significance of "Agentic Inferencing", a key theme from the NVIDIA GTC Taipei keynote during COMPUTEX 2026. Agentic AI requires more than faster compute; it demands fast, secure access to context memory so agents can reason across long sessions, large datasets, and complex workflows.
NVIDIA Vera BlueField-4 STX addresses this paradigm shift. It enables a new class of AI-native storage infrastructure for context memory, built with Vera-based BlueField-4, NVIDIA Spectrum-X Ethernet, NVIDIA DOCA, NVIDIA Dynamo, and NVIDIA AI Enterprise. This foundation provides NVIDIA's storage partners, such as AIC, with the essential building blocks to keep agent context and inference data close to the compute path, significantly improving throughput, responsiveness, and infrastructure efficiency.
NVIDIA is actively building a robust partner ecosystem around the NVIDIA Vera BlueField-4 STX architecture, spanning storage, systems, cloud infrastructure, and security sectors. Key partners like AIC are collaborating closely with NVIDIA to integrate, validate, and bring this next-generation infrastructure to market. Hardy emphasized that these close alliances will help customers optimize resource utilization, reduce costs, accelerate response times, and enhance security during large-scale deployments, thereby ushering in the era of Agentic Inferencing.
VAST Data and AIC Hard-Soft Integration Optimizes AI Infrastructure
Echoing the new design of NVIDIA Vera BlueField-4 STX, VAST Data CTO Andy Pernsteiner emphasized that Agentic AI requires sophisticated mechanisms for managing and optimizing massive-scale KV caching to persistent memory. This avoids redundant, expensive prefill computations across multi-turn, long-context sessions, while providing new storage platforms that support confidential computing and data protection for highly sensitive information. VAST Data integrates seamlessly with NVIDIA's BlueField-4 DPU architectures and Dynamo routing frameworks to offload, share, and reuse KV cache context across wide GPU clusters.
The strategic hardware-software partnership between VAST Data and AIC pairs AIC's advanced server hardware with VAST's software intelligence to build next-generation AI infrastructure and context memory storage platforms. Integrating NVIDIA Context Memory Storage (CMX) platform, featuring the NVIDIA Vera BlueField-4 STX storage processor, effectively resolves GPU KV cache bottlenecks. By utilizing fast NVMe arrays as a shared, high-bandwidth context tier, the solution significantly increases tokens-per-second throughput and energy efficiency for long-context, multi-turn AI inferencing.
AIC Embraces NVIDIA Vera BlueField-4 STX for Agentic AI
As Liang stated in a post-event interview with DIGITIMES, the company has successfully built its storage server business since 2014. By continuously reinvesting 15% of its annual revenue every year into R&D and early-stage development of new architectures, AIC has positioned itself as a key player in developing next-generation, Agentic AI-native storage infrastructure.
Today, AIC is established as a Solution Advisor in the NVIDIA Partner Network (NPN). AIC also is building upon a strategic partnership with VAST Data that began seven and a half years ago. To meet the surging demand for AI data centers, AIC's strategic expansion in Yangmei, Taiwan, and Haiphong, Vietnam, directly targets the skyrocketing global demand for artificial intelligence data centers. These state-of-the-art manufacturing footprints allow the company to scale production of AI servers and high-density storage while seamlessly integrating computing, networking, and security into unified infrastructure platforms.
The new facilities anchor AIC's global supply chain and position the company to meet the intense deployment needs of cloud service providers and enterprise customers. This empowers customers to maintain a competitive lead and achieve greater success amidst the AI wave.
