General Topics and News

vSAN ReadyNode profiles look like model numbers, but AF-4, AF-6 and AF-8 are performance classes — and picking by name alone is how clusters end up over-bought on compute and under-bought on storage. This guide decodes the profiles, explains when hybrid still makes sense and why ESA changes the hardware question, and walks through the capacity math that turns raw terabytes into what your VMs can actually use.

Converged HPC and AI projects rarely stall on GPU availability. They stall because the data hall cannot power, cool, connect and commission the cluster that was ordered. Supermicro's NVIDIA Vera Rubin NVL4 DCBBS blueprint answers that as one system — 288 nodes, Quantum-X800 InfiniBand, direct liquid cooling, busbar power and L10/L11 validation in a repeatable 3.2 MW block you can replicate as the site grows.

Telco and edge deployments rarely fail for lack of compute. They fail because the cabinet is too shallow, rear access is impossible, and every added NIC or accelerator becomes another integration problem. The Supermicro SYS-112D-40C-FN8P puts eight 25GbE ports and vRAN FEC acceleration inside the processor — so a 399 mm front-I/O 1U carries a full telecom workload with both PCIe slots still empty.

Data centers consume a growing share of the world's electricity, and AI is accelerating it. This guide — a companion to our Green Computing at Scale webinar with Supermicro and Intel — shows how European teams cut data center energy costs with liquid cooling, Titanium power supplies and resource-saving architecture: which measures fit your site, how to estimate the payback, and what to send us for an energy-efficient Supermicro configuration.

Supermicro has expanded its Intel-powered edge AI portfolio with the fanless SYS-E103-14P, the SYS-521AD-LN2 AI mini tower and refreshed short-depth edge platforms. This guide helps buyers compare which system fits industrial inference, local AI development, compact rack deployment and edge-to-core infrastructure planning.

The Supermicro L2A Sidecar CDU brings up to 200 kW of liquid cooling into existing air-cooled data centers without requiring a primary facility water loop. It is built for AI and HPC teams that need dense GPU racks now, but cannot wait for a full facility liquid-cooling project. The Sidecar sits beside the rack, runs a closed coolant loop to the servers and rejects heat into room air.

The NVIDIA Vera CPU Rack is a dense, 100% liquid-cooled 48U MGX system that packs 256 Vera CPUs — 22,528 Olympus cores, up to 400 TB of LPDDR5X and 64 BlueField-4 DPUs — to run the CPU-side work behind agentic AI: code execution, tool calls and reinforcement-learning sandboxes across more than 22,500 parallel environments. It is built to run alongside GPU racks, not replace them.

At Computex 2026, Supermicro expanded its rack-scale AI portfolio with the AMD Helios platform — a 72-GPU double-width rack built on AMD Instinct MI455X GPUs, 6th Gen EPYC “Venice” CPUs and AMD Pensando networking, unified by the open ROCm stack. A single rack delivers up to 2.9 FP4 exaFLOPS, 31 TB of HBM4 and 1.4 PB/s of aggregate bandwidth at peak.

At Computex 2026, Supermicro introduced DCBBS Blueprints for the NVIDIA Vera Rubin NVL72 and HGX Rubin NVL8 — pre-engineered, end-to-end AI factory designs built around a 1,152-GPU scalable unit with 331 TB of HBM4, DLC-2 liquid cooling and full power and networking, scaling from a 5 MW pilot to a 1 GW deployment.

NVIDIA NemoClaw is an open-source reference stack that wraps OpenClaw inside the NVIDIA OpenShell sandbox and gateway — controlling filesystem access, credentials, network egress and audit logs. It turns an unrestricted local AI agent into a governed enterprise service that can run 24/7 on hardware from a laptop to a Supermicro NVIDIA DGX Spark or Super AI Station.