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GPU Cloud: Powerful GPU servers for AI/ML workloads | VNG Cloud

GPU Cloud

Powerful GPU servers for AI/ML workloads

  • Well-suited for AI/ML/Deep Learning/LLM
  • Next-gen NVIDIA GPUs (H100, A100, L40S, A40)

Pre-order now

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GPU Cloud: Powerful GPU Servers for AI/ML Workloads
GPU Cloud: Powerful GPU Servers for AI/ML Workloads

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.

 

Features

GPU Instances

Easily launch GPU-based container instances from public or private repositories in a matter of seconds.

High-performance GPU Compute options

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.

CLI / GraphQL API

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.

SSH, TCP and HTTP Ports

Multiple entry points readily available for coding, optimizing, and executing your AI/ML workloads.

Virtual Servers

VNG Cloud offers easy deployment and management of NVIDIA GPU-accelerated and CPU-only Virtual Servers, supporting Linux, Windows, or your custom ISO.

Storage

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.

Networking

Easily enhance your networking scalability for HPC workloads through routing, switching, firewalling, and load-balancing, all without incurring egress charges.

Container

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.

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GPU
H100

The Most Powerful AI Supercomputing

Architecture: NVIDIA Hopper

CUDA Cores: Up to 16,896

Memory: 80 - 188 GB HBM3

Tensor Cores: Yes

Memory Bandwidth: 3.35 - 7.8 TB/s

Form Factor: SXM, PCle, 2xPCle

Contact us

Pre-order now

GPU
GH200

Powerful End-to-End AI and HPC Data Center Platform

Architecture: NVIDIA Grace Hopper Superchip

CUDA Cores: To be updated

Memory: 282GB HBM3e

Tensor Cores: Yes

Memory Bandwidth: Up to 2 TB/s

Form Factor: PCle

Contact us

Pre-order now

GPU
A40

Powerful Data Center GPU for Visual Computing

Architecture: NVIDIA Ampere

CUDA Cores: Up to 10,752

Memory: 48 GB GDDR6

Tensor Cores: Yes

Memory Bandwidth: Up to 696 GB/s

Form Factor: 4.4" (H) x 10.5" (L) Dual Slot

Contact us

Pre-order now

GPU
L40S

Unparalleled AI and Graphics Performance, Multi-Workload Accelerator

Architecture: NVIDIA Ada Lovelace

CUDA Cores: Up to 6,912

Memory: 48GB GDDR6 with ECC

Tensor Cores: Yes

Memory Bandwidth: Up to 864GB/s

Form Factor: 4.4" (H) x 10.5" (L), dual slot

Contact us

Pre-order now

GPU H100
GPU GH200
GPU A40
GPU L40S
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Why choose GPU Cloud?

Install any application that runs well on GPUs
Ideal for AI/ML/Deep Learning/LLM workloads
GPU Cloud is perfect for AI/ML/Deep Learning/LLM workloads, offering flexible access to potent GPU resources for efficient model training and data processing.
Reliable Performance
Reliable Performance
Our cutting-edge NVIDIA GPUs (H100, GH200, L40S, A40) ensure superb performance across a wide range of GPU-intensive tasks, from AI and ML to Deep Learning and VFX Rendering.
Well-suited for AI/ML/Deep learning tasks
High Level of Security
GPUs are housed in our Uptime Tier III Data Centers. We prioritize the security of your data and offer compliance options to meet industry standards.
Seamless VFX & 3D Rendering
Scalability and Flexibility
Whether it's a sudden surge in model training or the need for additional computing power for complex tasks, GPU Cloud can be easily scaled up or down based on your project's demands.
High Level of Security
Cost Efficiency
With Pay-as-you-go, GPU Cloud service helps optimize costs for AI/ML adoption in businesses by charging solely for used resources.
 

Deployment Model

 
 
High Performance GPU Cloud

FAQs

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.

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