NVIDIA RTX A4000 phù hợp workload nào?

Phù hợp AI, Machine Learning, inference, render, CAD, xử lý media và đồ họa chuyên nghiệp trên nền tảng cloud GPU.

Nên chọn A4000 x4 hoặc x8 khi nào?

Chọn cấu hình nhiều GPU khi cần chạy nhiều workload song song, xử lý render lớn hoặc cần tổng VRAM cao hơn.

RTX A4000 phù hợp môi trường nào?

Phù hợp workstation cloud, thiết kế 3D, CAD, dựng hình, demo AI và inference nhỏ với chi phí hợp lý.

RTX A4000 có chạy được CUDA không?

Có. HiTechCloud hỗ trợ môi trường CUDA, driver và framework phù hợp để chạy AI, render hoặc workload compute nhẹ.

Khi nào nên nâng lên A5000?

Khi cần VRAM lớn hơn, render nặng hơn, nhiều tác vụ song song hoặc workload AI vượt khả năng của RTX A4000.

Các gói có chu kỳ thanh toán nào?

Các gói hỗ trợ chu kỳ 1 tháng, 3 tháng, 6 tháng, 12 tháng và các chu kỳ dài hạn.

NVIDIA RTX A4000 Cloud GPU

NVIDIA RTX A4000 – Cloud GPU for AI and graphics

NVIDIA RTX A4000 at HiTechCloud – a high-performance Cloud GPU for AI, machine learning, rendering and graphics processing. A flexible, capable and cost-efficient cloud solution for enterprises.

View configuration GPU consultation

1–8 GPU 16 GB VRAM/GPU Up to 32 Core AI & Graphics

RTX Ampere GPU

A4000 Cloud GPU for AI, machine learning and professional graphics

NVIDIA RTX A4000 on HiTechCloud provides flexible dedicated GPUs for businesses that need rendering, AI inference, media processing and graphics workflow infrastructure without investing in physical hardware.

NVIDIA RTX A4000 Cloud GPU

A high-performance cloud GPU for AI, machine learning, rendering, and professional graphics.

16 GB VRAM/GPU

Each GPU has 16 GB of VRAM, suited to modeling, media processing, inference and enterprise graphics workloads.

Scale to 8 GPUs

Configurations from 1 to 8 GPUs let you scale resources with project needs and budget.

Cost optimization

A flexible, powerful and cost-effective cloud solution for businesses that need a dedicated GPU.

NVIDIA RTX A4000 pricing

Choose an A4000 configuration for AI, rendering and graphics workloads

3222

Recommended

A4000 x1

15.552.000đ

/ 1 month

GPU1 GPU

Core8 Core

RAM45 GB RAM

VRAM16 GB VRAM

P2PP2P: No

Disk512 GB Up to

TypeDedicated

NotesNVIDIA RTX A4000 Cloud GPU

3223

A4000 x2

31.104.000đ

/ 1 month

GPU2 GPU

Core16 Core

RAM90 GB RAM

VRAM32 GB VRAM

P2PP2P: No

Disk500 GB Up to

TypeDedicated

NotesNVIDIA RTX A4000 Cloud GPU

3224

A4000 x4

62.208.000đ

/ 1 month

GPU4 GPU

Core32 Core

RAM180 GB RAM

VRAM64 GB VRAM

P2PP2P: No

Disk500 GB Up to

TypeDedicated

NotesNVIDIA RTX A4000 Cloud GPU

3225

A4000 x8

72.511.200đ

/ 1 month

GPU8 GPU

Core32 Core

RAM192 GB RAM

VRAM128 GB VRAM

P2PP2P: No

Disk2000 GB Up to

TypeDedicated

NotesNVIDIA RTX A4000 Cloud GPU

Service plans	Price/month	GPU	Core	RAM	VRAM	P2P	Actions
A4000 x1	15,552,000 VND/month	1 GPU	8 Core	45 GB RAM	16 GB VRAM	P2P: No	Sign up
A4000 x2	31,104,000 VND/month	2 GPU	16 Core	90 GB RAM	32 GB VRAM	P2P: No	Sign up
A4000 x4	62,208,000 VND/month	4 GPU	32 Core	180 GB RAM	64 GB VRAM	P2P: No	Sign up
A4000 x8	72,511,200 VND/month	8 GPU	32 Core	192 GB RAM	128 GB VRAM	P2P: No	Sign up

Service plans	GPU	Core	RAM	VRAM	P2P	Disk	Type	Notes	Price/month	Actions
A4000 x1	1 GPU	8 Core	45 GB RAM	16 GB VRAM	P2P: No	512 GB Up to	Dedicated	NVIDIA RTX A4000 Cloud GPU	15,552,000 VND/month	Sign up
A4000 x2	2 GPU	16 Core	90 GB RAM	32 GB VRAM	P2P: No	500 GB Up to	Dedicated	NVIDIA RTX A4000 Cloud GPU	31,104,000 VND/month	Sign up
A4000 x4	4 GPU	32 Core	180 GB RAM	64 GB VRAM	P2P: No	500 GB Up to	Dedicated	NVIDIA RTX A4000 Cloud GPU	62,208,000 VND/month	Sign up
A4000 x8	8 GPU	32 Core	192 GB RAM	128 GB VRAM	P2P: No	2000 GB Up to	Dedicated	NVIDIA RTX A4000 Cloud GPU	72,511,200 VND/month	Sign up

Applies to all plans

NVIDIA A4000
Dedicated

GPU Infrastructure

Flexible enough for AI, machine learning, rendering, and graphics processing

NVIDIA RTX A4000 lets businesses deploy cloud GPU quickly, control cost and scale with actual demand.

Suited to AI and ML

Supports small-scale training, inference, computer vision, data processing and AI model experiments.

Strong for graphics

Optimized for rendering, CAD, 3D visualization, media workflows and remote graphics applications.

Flexible deployment

Choose 1, 2, 4 or 8 GPUs based on workload size, session count and budget.

Dedicated GPU

Dedicated resources keep workloads consistent, make performance easier to control, and suit production environments.

A range of billing cycles

Terms from 1 to 60 months, making cost planning straightforward.

Technical support

HiTechCloud advises on drivers, CUDA, render environments, AI frameworks, and the right configuration.

Use cases

Scenarios suited to the NVIDIA RTX A4000

AI/ML AI and machine learning

Run inference, small-scale training, computer vision, OCR and model experimentation workflows.

Render Rendering and graphics processing

Suited to modeling, 3D rendering, media processing, design and visualization.

Cloud GPU GPU cloud for business

Deploy a dedicated GPU flexibly, with no upfront hardware investment.

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.

GPU cloud architecture

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 and PCIe Switch for HiTechCloud GPU instances

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.

Auto scaling

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.

SSH, TCP, and HTTP connection security for GPU instances

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.

GPU instance

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.

The HiTechCloud ecosystem

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 AgentBase

AI Platform

A unified platform for training, fine-tuning, and deploying AI models at any scale.

Explore AI Platform

Vector Database

Supports fast search, real-time analytics, log and large-scale event data, and vector databases for RAG.

Explore Vector Database

Kubernetes

Managed Kubernetes for container orchestration, AI services, and GPU cloud workloads.

Explore Kubernetes

Southeast Asia

Scale 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

Southeast Asia regional map for HiTechCloud infrastructure

1,000+ businesses

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 RTX A4000 configuration at HiTechCloud.

Which workloads is the NVIDIA RTX A4000 suited to?

Suited to AI, machine learning, inference, rendering, CAD, media processing, and professional graphics on a cloud GPU platform.

When should you choose A4000 x4 or x8?

Choose a multi-GPU configuration when you need to run several workloads in parallel, handle large rendering jobs, or need more total VRAM.

Which environments is the RTX A4000 suited for?

Suits cloud workstations, 3D design, CAD, modeling, AI demos, and small-scale inference at a reasonable cost.

Does RTX A4000 support CUDA?

Yes. HiTechCloud provides a suitable CUDA environment, drivers and frameworks for AI, rendering or light compute workloads.

When should you upgrade to the A5000?

When you need more VRAM, heavier rendering, more parallel tasks or AI workloads beyond what the RTX A4000 can handle.

What billing cycles are available?

Plans are available on 1-month, 3-month, 6-month, 12-month, and long-term cycles.

Cloud GPU Ready

Need a consultation on NVIDIA RTX A4000 configuration for your workload?

HiTechCloud helps you select the GPU count, cores, RAM, storage, drivers, CUDA version, render environment, and AI framework to match your deployment.

View pricing Contact us for a consultation