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ASUS OCP 2026-এ NVIDIA Vera CPU দিয়ে XA P2N-E2 সার্ভার প্রকাশ করেছে

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ASUS has launched the XA P2N-E2, a 2U server based on NVIDIA MGX architecture and powered by NVIDIA Vera CPUs, unveiled at OCP Global Summit 2026. The server is designed for agentic AI and reinforcement learning workloads, targeting the execution layer of AI applications such as code execution, tool use, sandboxing, data processing, and orchestration. It supports up to two dual-slot NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, combining high-performance CPU computing with flexible GPU acceleration in a compact form factor.

The high single-thread CPU performance and high-bandwidth, energy-efficient memory aim to keep AI agents responsive during demanding tasks. At OCP, ASUS also showcased a broader AI infrastructure portfolio, including the rack-scale XA VR721-E3 AI POD integrating 36 NVIDIA Vera CPUs and 72 NVIDIA Rubin GPUs via the NVIDIA Vera Rubin NVL72 platform with full liquid cooling for large-scale AI training and inference. Additionally, the XR R1I12B-M1BHFS server combines NVIDIA HGX Rubin NVL8 with direct-to-chip liquid cooling for GPUs and air cooling for Intel Xeon 6 processors for flexible configurations.

These systems reflect ASUS’s strategy to scale AI infrastructure across compute densities, cooling architectures, and deployment needs. ASUS emphasized that AI factory performance depends on more than accelerated computing, highlighting the importance of high-speed networking, scalable context memory, responsive inference, and data infrastructure. The company also featured NVIDIA technologies like HGX Rubin NVL8, Spectrum-X Spectrum-6 Ethernet switching, CMX Context Memory Storage, and NVIDIA Groq 3 LPX — an interactive AI inference accelerator for ultrafast token generation in low-latency, large-context agentic systems.

Together, these components enable full-stack AI factories using the NVIDIA Vera Rubin platform, allowing customers to scale from individual systems to rack-scale deployments while optimizing performance per watt and accelerating time to production.

উৎস: TechPowerUp News · সারাংশ: HeadlinesBriefing