PEGATRON Corporation to show AI infrastructure at OCP Global Summit 2026
3 companies named across 5 categories, one of 612 articles referencing Nvidia. Previous coverage: NVIDIA donates $250 million in compute for U.K. AI safety (Oct 2026).
Companies mentioned
Best suited for
- Seniority
- Architect
- Job function
- Data Center / IT
- Persona
- Platform / Infrastructure Architect
- Buyer role
- Architect / Technical Evaluator
- Decision stage
- Which to buy
- Adoption curve
- Early Majority
- Technology maturity
- Operational Expansion
- Industry
- Information Technology / AI Infrastructure / AI Compute & Systems / AI Servers & Rack-Scale Systems
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PEGATRON plans to show how AI platforms can be converted into production-ready systems, racks, and clusters for data center deployment at the OCP Global Summit 2026.
As AI infrastructure grows from individual servers to large clusters, deployment depends on more than compute performance. It also requires system-level engineering, liquid cooling, power architecture, open standards, manufacturing readiness, and validation.
The company's OCP-aligned designs include ORv3 busbar, DC-MHS, and OCP 3.0 network adapters, and its OCP-compliant platforms cover AI rack solutions, accelerated computing, compute, and storage. The showcase centers on the NVIDIA Vera Rubin NVL72, model RA4803-72N3, a rack-scale AI platform with 72 NVIDIA Rubin GPUs, 36 NVIDIA Vera CPUs, 6th generation NVIDIA NVLink, and fully liquid-cooled rack-level integration.
Beyond accelerated computing, the company will show an NVIDIA Vera CPU liquid-cooled system and NVIDIA Groq 3 LPX for agentic AI infrastructure. The NVIDIA Vera CPU is optimized to run tool calls, sandboxed code, and reinforcement-learning loops between model steps, and it provides dense capacity at rack scale alongside GPU infrastructure in AI factories. NVIDIA Groq 3 LPX extends the NVIDIA Vera Rubin platform for highly interactive, latency-sensitive inference.
The AS210-2T1-8H3 is a 2U fully liquid-cooled NVIDIA HGX Rubin NVL8 system with dual Intel Xeon 6 processors, AMD EPYC 9006 processors, or NVIDIA Vera CPUs, along with an eight-GPU NVIDIA Rubin baseboard. Across its facilities, digital-twin simulation and optimization are linked with physical manufacturing, automated production, thermal validation, and system-to-rack run-in testing, within NVIDIA DSX AI factory platform-aligned workflows.
“A key measure of AI infrastructure is how efficiently it can move from engineering to deployment,” said Gary Cheng, President and Co-CEO of PEGATRON. The company's stated direction is to move AI infrastructure beyond individual systems toward production-ready clusters and data centers.
Press release, provided by Cision on behalf of Pegatron. Read the original.