Analyst views launch as confirmation that the chip maker is ‘looking to regroup and pick fights it thinks it can win.’ ...

Explore how data centers utilize GPUs and TPUs to power AI and machine learning with high-speed interconnects.

DriveNets enhances its Network Cloud-AI platform with multi-tenancy and multi-site features for GPU clusters spanning up to ...

Deploying artificial intelligence (AI) workloads that use graphics processing units (GPUs) in datacentres requires specific network hardware and optimisations.

Reconfigurable datacenter networks (RDCNs), which can adapt their topology dynamically, based on innovative optical switching ...

At the GTC event in March of 2025, we heard all about NVIDIA's planned GPU road map every 12 to ... that try to discover the underlying network topology using localization techniques.

At the heart of GIGABYTE exhibit is the enhanced GIGAPOD, a scalable GPU cluster designed for high ... power distribution, and network architecture. To help customers deploy faster and smarter ...

When building large-scale AI GPU clusters for training or inference, the backend network should be high-performance, lossless, and predictable to ensure maximum GPU utilization. This is hard to ...

Nebius has also expanded to Western Europe, setting up GPU clusters in Paris ... robust European data center network, and powerful NVIDIA partnership position it uniquely among AI-focused cloud ...

TechCrunch reported that this private GPU cluster can be rented by startups in exchange for equity, addressing one of the AI industry's biggest bottlenecks: compute power. Trending: BlackRock is ...

Render Network connects GPU owners with creators, allowing users to rent idle graphics power for AI training, 3D rendering and crypto-related projects. The RNDR token powers the ecosystem ...