This article explains NVIDIA's NVLink interconnect technology, covering its history, protocol layers, bandwidth advantages over PCIe, topologies such as the HGX-1/DGX-1 mesh, the NVSwitch extension, and performance gains for deep‑learning and high‑performance computing workloads.
The article surveys how NVIDIA's GPU ecosystem and the Intersect360 study reveal that among the 50 most common high‑performance computing applications, 34 already support GPU acceleration, highlighting the growing importance of GPU computing across scientific, engineering, and business fields.
This article explains NVIDIA GRID vGPU virtualization, detailing how GPUs are partitioned by memory size, the supported hypervisors, the operation of virtual GPU resources, differences between full‑allocation vGPU and GPU pass‑through, licensing requirements, and performance considerations for cloud and data‑center environments.
This article compares NVIDIA's Tesla and GeForce GPU families, detailing their target markets, design differences, core architectures, double‑precision performance, ECC support, memory bandwidth, interface options, software and OS compatibility, power efficiency, and management features to help readers choose the right GPU for HPC or gaming workloads.
