NVIDIA GPUs for AI, HPC & Data Centre Infrastructure

NVIDIA GPUs are at the centre of modern AI, HPC, cloud and data centre infrastructure. From AI training and inference to accelerated computing, visual computing and high-performance workloads, GPU-based systems require more than compute power alone — they depend on fast, reliable networking and supporting infrastructure around them.

Gbics supplies NVIDIA GPUs for AI, HPC, professional and data centre environments, while also supporting the wider infrastructure around GPU deployments with networking products, optical transceivers, DAC cables, AOC cables, adapters, switches and high-speed interconnect solutions.

Supporting NVIDIA GPU Deployments

High-performance NVIDIA GPU systems need the right supporting infrastructure to deliver their full potential. Whether the environment is built around AI training, inference, accelerated computing, cloud infrastructure, professional workstations or high-performance storage, the network fabric plays a critical role in overall performance.

Gbics can assist with both NVIDIA GPU supply and the connectivity layer around GPU deployments, helping customers source suitable products for workstations, servers, server-to-switch links, switch uplinks, storage connectivity and high-speed AI cluster interconnects.

• NVIDIA RTX PRO Blackwell GPU options
• NVIDIA GPU server and workstation requirements
• AI and HPC cluster networking
• 400G and 800G network infrastructure
• Ethernet and InfiniBand connectivity
• NVIDIA-compatible transceivers, DACs and AOCs
• Switch, adapter and cabling support

NVIDIA GPU Infrastructure Connectivity

As GPU density increases, AI and HPC networks often require high-speed connectivity across 100G, 200G, 400G and 800G links. These connections may use optical transceivers, direct attach copper cables, active optical cables or structured fibre depending on distance, switch platform, adapter type and network design.

NVIDIA Blackwell, Hopper, DGX and HGX Infrastructure

NVIDIA GPU platforms such as Blackwell, Hopper, DGX and HGX are designed for demanding AI, HPC and accelerated computing workloads. These systems depend on high-performance infrastructure to move large volumes of data between GPU servers, switches, storage and external network resources.

NVIDIA RTX PRO Blackwell GPUs are suited to professional, enterprise AI, rendering, simulation and visual computing workloads, while data centre platforms such as H100, H200, B200 and GB200 are typically used for larger AI training, inference, HPC and rack-scale infrastructure requirements.

Choosing the Right NVIDIA GPU

The right NVIDIA GPU depends on the workload, system type and deployment environment. RTX PRO Blackwell GPUs are well suited to professional workstations, enterprise AI, design, rendering, simulation, visual computing and server-based workloads. NVIDIA L40S and L4 GPUs are commonly associated with inference, graphics, video, media acceleration and edge AI use cases, while H100, H200, B200 and GB200 platforms are typically used for larger AI training, inference, HPC and rack-scale infrastructure requirements.

Gbics can help customers identify suitable NVIDIA GPU options based on application, performance requirements, server compatibility, availability and the supporting infrastructure needed around the deployment.

Products Gbics Can Assist With

Gbics can support a wide range of products used around NVIDIA GPU infrastructure:

• NVIDIA RTX PRO Blackwell GPUs
• NVIDIA enterprise and data centre GPU requirements
• NVIDIA-compatible optical transceivers
• NVIDIA-compatible DAC cables
• NVIDIA-compatible AOC cables
• 400G and 800G connectivity
• OSFP and QSFP-DD solutions
• Ethernet and InfiniBand cables
• NVIDIA networking switches
• NVIDIA ConnectX network adapters
• BlueField DPU connectivity
• GPU cluster cabling and interconnect support

NVIDIA GPU Infrastructure FAQs