CoreWeave: US-WEST-07A Data Center
About US-WEST-07A Data Center
CoreWeave US-WEST-07A is a CoreWeave GPU cloud region located in Las Vegas, Nevada. The facility is part of CoreWeave’s accelerated compute platform designed for AI training, inference, machine learning, visual effects rendering, simulation, and large-scale Kubernetes workloads. US-WEST-07A extends CoreWeave’s western United States cloud footprint and provides geographic diversity for customers deploying latency-sensitive AI infrastructure across North America.
The region supports CoreWeave’s cloud-native GPU infrastructure platform, including NVIDIA GPU clusters, Kubernetes orchestration, virtual machines, high-performance networking, and AI infrastructure automation. CoreWeave’s regional architecture is built around dense GPU environments optimized for large-scale AI and HPC workloads rather than traditional enterprise colocation. The provider’s infrastructure supports customers operating generative AI, model training, inference services, visual computing, simulation, and accelerated cloud applications.
Las Vegas provides a western U.S. deployment position with connectivity into broader North American cloud and network ecosystems. CoreWeave’s platform is designed for scalable GPU provisioning and regional workload placement across multiple U.S. and international cloud regions. US-WEST-07A functions as an AI-focused cloud infrastructure region rather than a retail colocation or enterprise hosting facility.
🏢 Facility Highlights
- Region Name: US-WEST-07A
- Market: Las Vegas, Nevada
- Platform Type: GPU cloud and AI infrastructure region
- Workload Focus: AI training, inference, rendering, simulation, and HPC
- Infrastructure Model: Cloud-native GPU compute platform
- Compute Stack: Kubernetes, virtual machines, and accelerated GPU infrastructure
🌐 Connectivity & Carrier Access
- Cloud Architecture: Multi-region CoreWeave GPU cloud platform
- Regional Role: Western U.S. AI and GPU compute deployment region
- Infrastructure Access: API-driven cloud infrastructure and GPU provisioning
🧠 AI Infrastructure
- GPU Platform: NVIDIA GPU infrastructure
- Primary Workloads: AI model training, inference, rendering, and HPC
- Deployment Model: Elastic cloud-native GPU environments
- Compute Design: Accelerated infrastructure optimized for AI applications
🏭 Who It Serves
- Artificial Intelligence: Large-scale AI model training and inference
- Media & Rendering: Visual effects, rendering, and graphics workloads
- Scientific Computing: Simulation and accelerated HPC applications
- Cloud-Native Platforms: Kubernetes-based GPU workloads