Leading the New Era of Distributed GPU Cloud Computing
Podwide is a global distributed GPU cloud computing service provider specializing in AI model training, deployment, and scaling. Utilizing cutting-edge NVIDIA RTX 4090 and NVIDIA RTX H100 GPUs, we offer a comprehensive range of services designed to meet the diverse needs of global deployments. Our platform provides low-latency and high-performance solutions across various applications, ensuring optimal performance and efficiency for all your AI projects.
Podwide by PowerMeta Corp.
Address:
17322 Murphy Ave, Suite 5,
Irvine, CA 92614,
Email:
Phone:
+1 (949) 307 8110
Diverse Product Services
High Performance
Scalability
Cost Efficiency
GPU Cloud
AI Infrastructure
Podwide provides dedicated instances and high-performance AI infrastructure, ensuring efficient training and inference of AI models.
Rapid Deployment
GPU instances support rapid startup and come pre-configured with deep learning tools, enhancing AI model training and inference efficiency.
Serverless
Simplified Deployment
Serverless architecture simplifies the deployment and scaling of AI models, allowing developers to focus on optimization and business logic without managing underlying hardware.
Easy Management
With powerful APIs and management console tools, developers can easily manage and optimize AI models.
Bare Metal
Simplified Deployment
Serverless architecture simplifies the deployment and scaling of AI models, allowing developers to focus on optimization and business logic without managing underlying hardware.
Global Deployment
Our servers are deployed globally, supporting multi-region deployment to ensure the lowest latency and optimal performance.
Web3 Customization
Customized Web3 Integration
Web3 Customization offers customized solutions for integrating Web3 projects, helping users quickly connect with projects like io.net and Aleo.
Rewards System
Users earn Podwide main chain points as rewards, incentivizing active participation.
Unified Management and Visualization
DMOS provides unified management of underlying resources, real-time visibility into GPU card status, device health, earnings.