AI Training and Inference Use Cases
Harness the parallel processing power of GPUs for training and computational-heavy tasks, while CPUs or private cloud nodes can handle data preprocessing, algorithm orchestration, and non-parallelizable segments.
Utilizing the combined power of GPUs and CPUs, our servers provide a robust foundation for computer vision applications in industries ranging from automotive to healthcare, enabling advanced image processing, object recognition, and scene analysis.
Crafting personalized experiences for customers is easier than you think with GPU-driven parallel processing to enable rapid analysis of vast datasets and real-time recommendation generation.
GPUs and CPUs form the backbone of robust generative AI applications, leveraging GPU acceleration for complex model training and inference, while CPUs manage software stack management, input/output operations, and orchestration.
By combining the computational prowess of GPUs with the versatility of CPUs and private cloud nodes, our servers play a critical role in managing sensor data, making real-time decisions, and providing operational stability in autonomous systems.
Utilizing the parallel processing capabilities of GPUs and versatility of CPUs and private cloud nodes, our servers can help you excel in analyzing data patterns to detect anomalies or deviations.
Our hybrid GPU and CPU-centric approach optimizes AI processing tasks, balancing computational power and efficiency, reducing reliance on expensive hardware and associated costs, making AI more accessible and cost-effective.
With dedicated hardware resources and minimal hypervisor overhead, our GPU and CPU-based bare metal servers plus our single-tenant private cloud outperform shared virtualized environments—while our global network ensures low-latency connections for seamless operations.
Our infrastructure supports a wide array of AI frameworks and libraries, including TensorFlow, PyTorch, and scikit-learn, ensuring effortless deployment and compatibility with existing AI software ecosystems.
With the flexibility to add additional GPU and CPU-based bare metal servers or private cloud nodes seamlessly, our solutions adapt to evolving AI workload requirements, accommodating increased data volume or complexity with ease.
Supercharge your projects with our high-performance GPU dedicated servers or private cloud nodes. Get unmatched processing power for AI, data, and graphics workloads.
Achieve up to 70% cost savings with our proprietary tools, optimized pricing models, and cost-efficient private cloud, bare metal, and GPU server solutions.
Your operations demand reliability. Our industry-leading 100% uptime SLA provides uninterrupted performance, backed by redundant systems and proactive monitoring.
Choose from 50 different CPU options, including Intel Xeon, Xeon Gold, and AMD EPYC servers. Configure virtually limitless RAM and storage options to match your AI, HPC, database, and cloud-native workloads.
Deploy your infrastructure where it matters most. With nine strategically located regions, we ensure low latency, high availability, and seamless scalability for your business.
Our single-tenant infrastructure eliminates the security risks of shared environments, ensuring enterprise-grade compliance for industries requiring HIPAA, SOC 2, ISO 27001, and PCI DSS standards.
Our Compass portal provides real-time visibility, cost control, and automated infrastructure management–giving you full control over your IT environment.
Build a powerful and reliable infrastructure foundation for your AI applications.