From GPU and storage servers to turnkey rack-scale solutions, Giga Computing showcases its expanding OCP portfolio and the evolution of Giga PODs for high-density, high-efficiency data centers.
Open Compute EMEA Summit featured announcements of major rack and power architecture innovations that address AI-driven data center challenges with advanced cooling and engineering solutions.
From 122TB QLC SSDs to rack-scale liquid cooling, Solidigm and Supermicro are redefining high-density, power-efficient AI infrastructure—scaling storage to 3PB in just 2U of rack space.
At NVIDIA’s GTC, Supermicro and Solidigm showcased advanced storage and cooling technologies, addressing the growing demands of AI and data center infrastructure.
At OCP Dublin, Bel Power’s Cliff Gore shares how the company is advancing high-efficiency, high-density power shelves—preparing to meet AI’s demand for megawatt-class rack-scale infrastructure.
At OCP Dublin, ZeroPoint’s Nilesh Shah explains how NeoCloud data centers are reshaping AI infrastructure needs—and why memory and storage innovation is mission-critical for LLM performance.
At OCP Dublin, OVHcloud’s Gregory Lebourg shares how the company is giving customers real-time visibility into the carbon impact of their cloud workloads — before they even hit deploy.
Agentic AI is reshaping enterprise data, infrastructure, and governance. Intel’s Lynn Comp joins TechArena to explore how organizations can get ahead of the coming wave of change.
Ahead of OCP Dublin, Matty Bakkeren joins Allyson Klein to break down rack innovations, liquid cooling, sovereignty, and the trends shaping data center infrastructure across Europe.
As GenAI adoption accelerates, organizations must rethink security from the silicon up to safeguard trust, compliance, and the integrity of AI-driven decisions.
Certified flows, IP, and 3DIC packaging tools from Synopsys and TSMC accelerate next-gen chip design for A16, N2P, and beyond — powering the future of AI and HPC.
At GTC, Giga Computing and Solidigm discussed the future of AI infrastructure, highlighting the critical role efficient computing plays in addressing the growing demand for AI-driven workloads.
Hedgehog CEO Marc Austin joins Data Insights to break down open-source, automated networking for AI clusters—cutting cost, avoiding lock-in, and keeping GPUs fed from training to inference.
From SC25 in St. Louis, Nebius shares how its neocloud, Token Factory PaaS, and supercomputer-class infrastructure are reshaping AI workloads, enterprise adoption, and efficiency at hyperscale.
Runpod head of engineering Brennen Smith joins a Data Insights episode to unpack GPU-dense clouds, hidden storage bottlenecks, and a “universal orchestrator” for long-running AI agents at scale.
Billions of customer interactions during peak seasons expose critical network bottlenecks, which is why critical infrastructure decisions must happen before you write a single line of code.
Recorded at #OCPSummit25, Allyson Klein and Jeniece Wnorowski sit down with Giga Computing’s Chen Lee to unpack GIGAPOD and GPM, DLC/immersion cooling, regional assembly, and the pivot to inference.
Durgesh Srivastava unpacks a data-loop approach that powers reliable edge inference, captures anomalies, and encodes technician know-how so robots weld, inspect, and recover like seasoned operators.
Hedgehog CEO Marc Austin joins Data Insights to break down open-source, automated networking for AI clusters—cutting cost, avoiding lock-in, and keeping GPUs fed from training to inference.
From SC25 in St. Louis, Nebius shares how its neocloud, Token Factory PaaS, and supercomputer-class infrastructure are reshaping AI workloads, enterprise adoption, and efficiency at hyperscale.
Runpod head of engineering Brennen Smith joins a Data Insights episode to unpack GPU-dense clouds, hidden storage bottlenecks, and a “universal orchestrator” for long-running AI agents at scale.
Billions of customer interactions during peak seasons expose critical network bottlenecks, which is why critical infrastructure decisions must happen before you write a single line of code.
Recorded at #OCPSummit25, Allyson Klein and Jeniece Wnorowski sit down with Giga Computing’s Chen Lee to unpack GIGAPOD and GPM, DLC/immersion cooling, regional assembly, and the pivot to inference.
Durgesh Srivastava unpacks a data-loop approach that powers reliable edge inference, captures anomalies, and encodes technician know-how so robots weld, inspect, and recover like seasoned operators.