Alibaba Cloud continues investing in AI and global infrastructure
Alibaba Cloud's AI and infrastructure investments show domestic cloud competition moving from resource sales toward a combination of models, compute, and platform capabilities.
Alibaba Cloud's AI and infrastructure investments show domestic cloud competition moving from resource sales toward a combination of models, compute, and platform capabilities.
From cloud GPU instances to edge inference, this guide compares 5 mainstream approaches for deploying open-source models in 2026.
Google Cloud's July 2026 AI infrastructure update was dense: Managed Lustre went GA, C4N network and storage optimized instances went GA, GKE scaled to 15,000 nodes, and k8s-aibom was open-sourced to harden the AI supply chain.
The global AI infrastructure market continues to grow. This article analyzes market size and growth trends across AI chips, data centers, and cloud AI services.
Synergy forecasts the neocloud market will approach $400 billion by 2031 with a 58% CAGR. GPU compute supply constraints are pushing providers like CoreWeave to reshape the AI infrastructure competitive landscape.
Huawei Cloud launches AI-native CCE cluster optimized for GPU training and inference, reducing job queue time by 50% and boosting GPU utilization above 85%.
Tencent Cloud unveils Hunyuan AI Supercomputer with 16,000 NVIDIA H100 GPUs for large model training and inference.
DigitalOcean launches GPU Droplets offering NVIDIA H100 GPUs with simplified deployment for AI developers and startup teams.
Oracle Cloud Infrastructure launches NVIDIA H200-based bare-metal instances for high-performance AI training and inference.
OVHcloud launches GPU bare-metal servers with NVIDIA A100 and H100, targeting European AI training and inference needs.
German cloud provider Hetzner expands its cloud lineup with new GPU server options targeting European AI training and inference needs.