GPU Cloud: Powerful GPU servers for AI/ML workload | VNG Cloud
GPU Cloud: Powerful GPU Servers for AI/ML Workloads
High Performance GPU Cloud is a dynamic and cutting-edge platform with a focus on delivering exceptional GPU performance. This cloud solution is tailored for a wide range of applications, from AI, Machine Learning, Deep Learning, Large Language Model (LLM) to high-performance computing (HPC) workloads.
Our dedicated GPU servers are ready to meet the high demands of today's data-intensive tasks.
Easily launch GPU-based container instances from public or private repositories in a matter of seconds.
VNG Cloud offers many high-performance GPU Compute options, including H100, GH200, A40 and L40S, catering to diverse computational needs. Whether for high-performance computing, AI, or machine learning, we've got you covered.
Utilize our CLI or GraphQL API to streamline your workflow and instantly provision GPUs. Harness the power of GPU Cloud to run your compute tasks during periods of cost-efficiency.
Multiple entry points readily available for coding, optimizing, and executing your AI/ML workloads.
VNG Cloud offers easy deployment and management of NVIDIA GPU-accelerated and CPU-only Virtual Servers, supporting Linux, Windows, or your custom ISO.
Our GPU Cloud comes with distributed and fault-tolerant storage, featuring triple replication, which is managed independently from compute resources. You can easily adjust volumes and expand capacity while enjoying optimized IOPS and throughput for superior performance.
Easily enhance your networking scalability for HPC workloads through routing, switching, firewalling, and load-balancing, all without incurring egress charges.
Containers are fully managed Kubernetes, delivers bare-metal performance without infrastructure management hassles. It offers rapid instance provisioning and responsive auto-scaling across thousands of GPUs.
Why choose GPU Cloud?
You can reserve your GPU Cloud service now by clicking "Pre-order now" at top of the page. By the beginning of Q2 2024, we anticipate having GPU H100 ready for deployment.
The NVIDIA H100 GPU brings several key innovations to the table:
- Fourth-generation Tensor Cores: These Tensor Cores are designed to perform matrix computations faster than ever before. They are capable of handling a wider range of AI and HPC workloads with improved efficiency.
- Transformer Engine: The H100 GPU incorporates a new Transformer Engine, which results in remarkable speed improvements. It can deliver up to 9x faster AI training and up to 30x faster AI inference speed compared to the prior generation A100 GPU, particularly beneficial for large language models.
- NVLink Network Interconnect: The GPU features a new NVLink Network interconnect, enabling seamless GPU-to-GPU communication. This interconnect can connect up to 256 GPUs across multiple compute nodes, facilitating efficient data exchange and parallel processing.
- Secure MIG (Multi-Instance GPU): Secure MIG partitions the GPU into isolated instances, optimizing the quality of service (QoS) for smaller workloads. This ensures that different tasks running on the GPU do not interfere with each other, enhancing overall performance and security.
Compared to A100 GPUs that support 6912 CUDA Cores, the H100 boasts 16896 CUDA Cores. NVIDIA GPUs have CUDA cores, which are equivalent to the CPU cores. They can run many calculations simultaneously, something essential for modern AI/ML and graphics workloads.
Our servers are located in private, highly secure facilities with no external access. Everything is internally housed in our Tier III DCs and remains under the continuous, direct control.
We utilize SSH for Ubuntu-based instances or RDP for Windows OS.
Our GPU Cloud farm supports Linux and Windows Server.
Yes. We strongly encourage clients to utilize their own licenses to ensure the continuity and control of their work.
Certainly! We're delighted to cater to your specific requirements. Kindly contact our support team before proceeding with your order to discuss the particulars.