Cloud GPU servers bring remarkable advantages to AI developers and graphics professionals seeking high-performance computing solutions without substantial hardware investments. These specialized cloud services leverage cutting-edge graphics processing units to deliver exceptional processing power for computationally demanding applications while maintaining flexibility and accessibility.
Powerful computing infrastructure
Modern cloud GPU platforms offer unprecedented computational capabilities through advanced NVIDIA hardware options including the H100, A100, V100S, A10, L40S, and L4 series. These specialized processors excel at parallel operations, making them ideal for AI workloads, deep learning, and complex graphics processing tasks that traditional CPUs struggle with.
Scalable resources for demanding projects
Cloud GPU services provide exceptional flexibility to meet varying project requirements without the limitations of fixed hardware. The NVIDIA H100 SXM stands out with its impressive 3.35 TB/s memory bandwidth using HBM3 memory, while the A100 80GB delivers 2 TB/s, enabling rapid data processing for large-scale AI operations. When projects demand more resources, users can instantly scale up their gpu allocation rather than purchasing additional physical equipment. OVHcloud exemplifies this scalability by offering configurations with 1 or 4 GPUs per instance, supported by high-speed network capabilities up to 25 Gbps for both public and private networks.
Cost-effective alternatives to local hardware
The financial advantages of cloud gpu infrastructure are substantial compared to on-premises solutions. Cloud platforms eliminate substantial upfront investments while providing access to enterprise-grade hardware like NVIDIA RTX GPUs and A100 instances. With hourly billing starting from just £0.34 at OVHcloud, organizations can align costs directly with actual usage. Studies indicate cloud GPUs can reduce infrastructure expenses by up to 40% versus on-premises implementations, addressing the issue of low utilization—sometimes as little as 15%—that plagues many local setups. Spot VMs for NVIDIA A100 and L40 gpus offer further savings opportunities for flexible workloads, making advanced AI and graphics processing accessible even to startups with limited resources.
Enhanced graphics processing capabilities
The world of cloud GPU servers has revolutionized how organizations approach graphics-intensive tasks. OVHcloud’s GPU infrastructure offers specialized hardware designed specifically for graphics processing and AI workloads, delivering exceptional performance that surpasses traditional CPU-based systems by over 200% in many scenarios.
OVHcloud’s Cloud GPU servers feature a range of NVIDIA GPUs including the powerful H100, V100S, A10, L40S, and L4 models. These servers are engineered with parallel processing capabilities and high memory bandwidth to handle the most demanding visualization tasks. With up to 4 GPUs per instance and NVMe storage, these solutions provide the foundation for advanced graphics applications with guaranteed 99.999% monthly availability.
Real-time rendering performance
Real-time rendering requires substantial computational power, which cloud GPU servers deliver with remarkable efficiency. The NVIDIA H100 SXM GPU, available through OVHcloud’s hourly billing model starting at just £0.34 (ex. VAT), features an impressive 3.35 TB/s of memory bandwidth using HBM3 memory. This exceptional throughput enables smooth real-time rendering for complex graphical applications.
The OVHcloud GPU infrastructure includes high-speed networking capabilities of up to 25 Gbps for both public and private networks, plus up to 350 Gbps for real-time inference servers. This robust connectivity ensures minimal latency during rendering processes, critical for interactive visualization applications. For cost-sensitive projects, Spot VMs for NVIDIA A100 and L40 GPUs provide an economical option while still delivering powerful rendering capabilities.
Cloud GPU servers dramatically improve video rendering speeds—up to 90% faster than CPU-based solutions—while eliminating the need for substantial upfront hardware investments. This on-demand model allows users to scale resources according to project requirements, making high-end rendering accessible to organizations of all sizes.
Advanced visualization technologies
The cutting-edge GPUs in OVHcloud’s portfolio enable sophisticated visualization technologies that transform how data is presented and understood. The NVIDIA A100 80GB with its 2 TB/s memory bandwidth excels at complex data visualization tasks, while the flexible billing options starting from £2.41 (ex. VAT) make these technologies accessible through hourly billing.
Cloud GPU infrastructure supports AI-powered image enhancement utilizing deep learning for tasks like noise reduction and color correction. This capability is crucial for industries requiring precise visual representation, such as medical imaging, architectural visualization, and scientific modeling. OVHcloud’s enterprise-grade certifications including ISO27001, SOC, and health data compliance ensure these visualizations meet regulatory requirements across sensitive industries.
The scalability of cloud GPU resources is particularly valuable for visualization workloads that may vary in intensity. By leveraging OVHcloud’s GPU solutions, organizations can access these advanced visualization capabilities through a simple management interface via the OVHcloud Control Panel, API, or command line. This flexibility, combined with global availability across Europe, America, Asia, and Oceania regions, ensures organizations worldwide can leverage state-of-the-art visualization technologies without geographical constraints.
Ai development acceleration
Cloud GPU servers represent a transformative technology for AI development, offering substantial performance benefits compared to traditional CPU-based computing. These specialized servers leverage NVIDIA GPUs like the H100, A100, V100S, A10, L40S, and L4 to deliver exceptional processing capabilities for AI workloads. OVHcloud provides these powerful resources through its Public Cloud offering, with options ranging from 1 to 4 GPUs per instance and network capabilities up to 25 Gbps.
Machine learning model training optimization
Training complex machine learning models requires immense computational power, making cloud GPU servers an ideal solution. NVIDIA GPUs deliver over 200% faster performance than CPUs for AI workloads due to their parallel processing architecture. The NVIDIA H100 SXM, available on-demand starting at $2.40/hour (or from $1.90/hour with reserved instances), features impressive 3.35 TB/s memory bandwidth with HBM3 memory. Similarly, the A100 80GB offers 2 TB/s memory bandwidth, while the H100 PCIe provides 2 TB/s with HBM2e memory. These specifications translate to dramatically reduced training times for deep learning models.
OVHcloud’s GPU solutions come with hourly billing options starting from £0.34 (ex. VAT) to £2.41 (ex. VAT), making high-performance computing accessible without significant upfront investment. This flexible pricing model enables organizations to scale GPU resources based on project requirements, optimizing both performance and cost. The platform maintains a guaranteed 99.999% monthly availability and holds enterprise certifications including ISO27001, SOC, and compliance with health data regulations.
Data processing efficiency improvements
Cloud GPU servers excel at processing large datasets, particularly for image and video analytics. The parallel processing architecture of GPUs enables them to handle multiple data points simultaneously, significantly accelerating AI-driven data processing tasks. Real-time inference servers equipped with high-speed networking of up to 350 Gbps facilitate rapid analysis and decision-making for time-sensitive applications.
OVHcloud’s GPU solutions come with NVMe storage and can be managed via the Control Panel, API, or command line, providing flexibility for various operational needs. For cost-sensitive workloads, Spot VMs are available for NVIDIA A100 and L40 GPUs, offering potential savings while maintaining processing power. These cloud-based solutions can reduce infrastructure costs by up to 40% compared to on-premises alternatives while addressing the issue of GPU underutilization, which can be as low as 15% in traditional setups. With global availability across multiple regions including Europe, America, Asia, Africa, and Oceania, OVHcloud ensures that organizations worldwide can leverage GPU resources for AI development with minimal latency.