The NVIDIA A10G for AI inference, graphics and media workloads
NVIDIA A10G/A10 GPU infrastructure with flexible configurations for AI inference, computer vision, light rendering, graphics streaming and video processing.
A10G Cloud GPU for AI, graphics and media workloads
NVIDIA A10G/A10 suits workloads that need a stable cloud GPU, optimized cost and enough capacity for inference, visual computing and video processing.
NVIDIA A10G GPU
The A10G suits AI inference, graphics streaming, light rendering and cloud GPU applications.
VRAM 22 GiB+
VRAM capacity suited to deploying mid-sized AI models, computer vision and graphics workloads.
Flexible instances
Choose the standard A10G, A10G Plus or A10 Server configuration based on CPU/RAM needs.
Flexible storage
Supports Flexible Storage or a large-capacity disk server, depending on the configuration.
Choose an A10G/A10 configuration for your AI and graphics needs
| Service plans | Price/month | GPU | CPU | Core | RAM | VRAM | Actions |
|---|---|---|---|---|---|---|---|
| 1x NVIDIA A10G | 69,672,960 VND/month | 1 GPU | 4 CPUs | 4 CPUs | 16 GiB RAM | 22 GiB 360 MiB VRAM | Sign up |
| 1x NVIDIA A10G Plus | 275,425,920 VND/month | 1 GPU | 64 CPUs | 64 CPUs | 256 GiB RAM | 22 GiB 360 MiB VRAM | Sign up |
| A10 | 14,580,000 VND/month | 1 GPU | Intel Xeon Gold 6133 | 30 Core | 200 GB RAM | 24 GB VRAM | Sign up |
| Service plans | GPU | CPU | Core | RAM | VRAM | Storage | Instance | Notes | Price/month | Actions |
|---|---|---|---|---|---|---|---|---|---|---|
| 1x NVIDIA A10G | 1 GPU | 4 CPUs | 4 CPUs | 16 GiB RAM | 22 GiB 360 MiB VRAM | 512 GiB Flexible Storage | g5.xlarge | Stop and restart without data loss | 69,672,960 VND/month | Sign up |
| 1x NVIDIA A10G Plus | 1 GPU | 64 CPUs | 64 CPUs | 256 GiB RAM | 22 GiB 360 MiB VRAM | 1024 GiB Flexible Storage | g5.16xlarge | Stop and restart without data loss | 275,425,920 VND/month | Sign up |
| A10 | 1 GPU | Intel Xeon Gold 6133 | 30 Core | 200 GB RAM | 24 GB VRAM | 1400 GB Up to | Server | NVIDIA A10 GPU Server | 14,580,000 VND/month | Sign up |
Applies to all plans
- 1 GPU
Optimized for AI inference, graphics and video processing
NVIDIA A10G/A10 provides flexible cloud GPU configurations for general workloads that need consistent performance.
Cost-efficient
The A10G/A10 is a balanced choice for general GPU workloads at a reasonable cost.
Suited to AI inference
Deploy chatbots, embeddings, computer vision, inference APIs and production AI applications.
Graphics and media
Accelerate rendering, video processing, graphics streaming and visual computing workflows.
Plus configuration available
The A10G Plus adds more CPU and RAM for workloads that need stronger system resources.
Flexible billing cycles
Billing cycles from 1 month to 60 months.
Deployment consultation
HiTechCloud helps you choose the configuration, drivers, CUDA and framework for your workload.
Deployment scenarios suited to the NVIDIA A10G
Run AI inference, image and video processing, embeddings, OCR and computer vision pipelines.
Serves rendering, 3D graphics, graphics streaming and visual computing applications.
Accelerate encode/decode, video processing, digital content and GPU media workflows.
High-performance GPU instances for a wide range of workloads
Powerful capacity, optimized to accelerate AI/ML and high-performance workloads at any scale.
A broad range of infrastructure options
Training, inference, or fine-tuning - HiTechCloud offers a range of GPUs to match your needs, with transparent pricing and on-demand deployment environments.
Built to NVIDIA reference architecture
HiTechCloud GPU instances combine NVLink/PCIe, InfiniBand (RDMA), and RAIL topology to optimize AI/HPC performance.
Three core connectivity layers for high-performance GPU clusters
A network and GPU fabric designed so AI workloads scale reliably, easing bandwidth bottlenecks and holding performance at scale.
NVLink / PCIe Switch
High-speed GPU-to-GPU connectivity within and between nodes, reducing bottlenecks during model training.
InfiniBand (RDMA)
Low-latency connectivity optimized for distributed training and reduced processing load on the host.
RAIL Topology
A parallel network architecture delivering higher bandwidth, redundancy, and consistent performance at any scale.
GPU auto scaling and utilization optimization
From a single GPU to large clusters, HiTechCloud provisions resources ahead of demand and gets the most out of every instance.
Auto scaling with Kubernetes
Automatically scale GPU resources from small scale to thousands of GPUs, with forecasting and Provisioning capability before you need it.
Security for every access connection
Access over SSH, TCP, and HTTP with built-in protection layers that keep enterprise data safe and access fully controlled.
Optimize GPU utilization with MIG
Partition a single GPU into multiple independent instances to run AI workloads in parallel, improving utilization and lowering infrastructure cost.
Transparent pricing, no hidden fees
From large-scale Training to real-time inference — pay only when you actually run, with a GPU Cloud platform built to serve every AI workload and high performance requirement.
Ready to run your first GPU instance?
From register to GPU instance launch in under 5 minutes — no complex setup, no resource reservation, no idle fees. Just deploy, run, and pay for what you use.
More than just Compute, you can manage, scale and develop entirely within a simple cloud ecosystem.
AgentBase
A complete management platform for deploying and operating AI agents securely at scale on enterprise-grade infrastructure.
Explore AgentBaseAI Platform
A unified platform for training, fine-tuning, and deploying AI models at any scale.
Explore AI PlatformVector Database
Supports fast search, real-time analytics, log and large-scale event data, and vector databases for RAG.
Explore Vector DatabaseKubernetes
Managed Kubernetes for container orchestration, AI services, and GPU cloud workloads.
Explore KubernetesScale with confidence across Southeast Asia
Deploy systems and applications closer to your users, reducing latency and meeting local regulatory requirements.
Bangkok
BKK-01
Ho Chi Minh
HCM-01 · HCM-02 · HCM-03
Ha Noi
HAN-01 · HAN-02
A partner for your digital transformation journey
Large enterprises and fast-growing startups choose HiTechCloud for secure, high-performance AI cloud solutions that let them innovate and scale.
Does your enterprise have a specific challenge? HiTechCloud is ready to support.
The HiTechCloud team advises on GPU architecture, networking, security, and an operating model matched to your real workloads.
FAQ
Quick facts before choosing an NVIDIA A10G configuration at HiTechCloud.
Which workloads is the NVIDIA A10G suited for?
Suited to AI inference, computer vision, graphics streaming, light rendering, video processing and general-purpose cloud GPU applications.
When should you choose A10G Plus?
Choose A10G Plus when the workload needs more CPU/RAM — for example large data pipelines or AI applications with heavy system resource demands.
Is the A10G suitable for real-time inference?
Yes. The A10G suits inference APIs, computer vision, video analytics and workloads that need a balance of cost and performance.
Can the A10G run common AI frameworks?
Yes. HiTechCloud supports CUDA, PyTorch, TensorFlow, and Docker environments, along with runtimes for inference or media processing.
When should you move up to a GPU above the A10G?
When a model needs more VRAM, a larger batch size or heavy training, consider the L40S, A100, H100 or a multi-GPU configuration.
What billing cycles are available?
Plans are available on 1-month, 3-month, 6-month, 12-month, and long-term cycles.
Need configuration advice for NVIDIA A10G Workload?
HiTechCloud helps you select the GPU, CPU, RAM, storage, driver, CUDA version and framework configuration for your deployment.




























































































































