NVIDIA A5000 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 A5000 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.

A5000 có phù hợp workstation cloud không?

Có. A5000 phù hợp workstation cloud, thiết kế 3D, CAD, dựng hình, xử lý media và các workflow sáng tạo chuyên nghiệp.

A5000 có chạy AI training được không?

Có thể chạy training nhỏ, fine-tuning nhẹ, inference và thử nghiệm mô hình; workload lớn nên cân nhắc A100, H100 hoặc nhiều GPU.

Nên chọn A5000 hay RTX A6000?

RTX A6000 phù hợp khi cần VRAM và hiệu năng cao hơn; A5000 phù hợp nhu cầu cân bằng chi phí cho AI, render và media.

Các gói có chu kỳ thanh toán nào?

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

NVIDIA A5000 Cloud GPU

NVIDIA A5000 – Cloud GPU for AI and graphics

NVIDIA A5000 on HiTechCloud – high-performance cloud GPU for AI, machine learning, rendering and graphics processing. A flexible, powerful and cost-effective cloud solution for business.

View configuration GPU consultation

1–8 GPU 24 GB VRAM/GPU Up to 62 vCPU AI & Graphics

Ampere GPU

A5000 Cloud GPU for AI, machine learning and professional graphics

NVIDIA A5000 on HiTechCloud provides flexible dedicated GPUs for businesses that need infrastructure for rendering, AI inference, media processing, 3D visualization and professional graphics workflows.

NVIDIA A5000 Cloud GPU

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

24 GB VRAM/GPU

Each GPU has 24 GB of VRAM, suited to rendering, visualization, inference and enterprise creative workloads.

Scale to 8 GPUs

Configurations from 1 to 8 GPUs let you scale resources with workload size and budget.

Cost optimization

Dedicated Cloud GPU lets your business deploy quickly with no hardware investment.

NVIDIA A5000 pricing

Choose an A5000 configuration for AI, rendering and graphics workloads

3217

Recommended

A5000 x1

7.970.400đ

/ 1 month

GPU1 GPU

Core10 vCPU

RAM48 GB RAM

VRAM24 GB VRAM

P2PP2P: No

Disk256 GB Up to

TypeDedicated

NotesNVIDIA A5000 Cloud GPU

3218

A5000 x2

15.940.800đ

/ 1 month

GPU2 GPU

Core20 vCPU

RAM96 GB RAM

VRAM48 GB VRAM

P2PP2P: No

Disk512 GB Up to

TypeDedicated

NotesNVIDIA A5000 Cloud GPU

3219

A5000 x4

31.881.600đ

/ 1 month

GPU4 GPU

Core40 vCPU

RAM192 GB RAM

VRAM96 GB VRAM

P2PP2P: No

Disk1024 GB Up to

TypeDedicated

NotesNVIDIA A5000 Cloud GPU

3220

A5000 x8

63.763.200đ

/ 1 month

GPU8 GPU

Core62 vCPU

RAM384 GB RAM

VRAM192 GB VRAM

P2PP2P: No

Disk1024 GB Up to

TypeDedicated

NotesNVIDIA A5000 Cloud GPU

Service plans	Price/month	GPU	Core	RAM	VRAM	P2P	Actions
A5000 x1	7,970,400 VND/month	1 GPU	10 vCPU	48 GB RAM	24 GB VRAM	P2P: No	Sign up
A5000 x2	15,940,800 VND/month	2 GPU	20 vCPU	96 GB RAM	48 GB VRAM	P2P: No	Sign up
A5000 x4	31,881,600 VND/month	4 GPU	40 vCPU	192 GB RAM	96 GB VRAM	P2P: No	Sign up
A5000 x8	63,763,200 VND/month	8 GPU	62 vCPU	384 GB RAM	192 GB VRAM	P2P: No	Sign up

Service plans	GPU	Core	RAM	VRAM	P2P	Disk	Type	Notes	Price/month	Actions
A5000 x1	1 GPU	10 vCPU	48 GB RAM	24 GB VRAM	P2P: No	256 GB Up to	Dedicated	NVIDIA A5000 Cloud GPU	7,970,400 VND/month	Sign up
A5000 x2	2 GPU	20 vCPU	96 GB RAM	48 GB VRAM	P2P: No	512 GB Up to	Dedicated	NVIDIA A5000 Cloud GPU	15,940,800 VND/month	Sign up
A5000 x4	4 GPU	40 vCPU	192 GB RAM	96 GB VRAM	P2P: No	1024 GB Up to	Dedicated	NVIDIA A5000 Cloud GPU	31,881,600 VND/month	Sign up
A5000 x8	8 GPU	62 vCPU	384 GB RAM	192 GB VRAM	P2P: No	1024 GB Up to	Dedicated	NVIDIA A5000 Cloud GPU	63,763,200 VND/month	Sign up

Applies to all plans

NVIDIA A5000
Dedicated

GPU Infrastructure

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

The NVIDIA A5000 lets businesses deploy GPU cloud quickly, control costs and scale to actual demand.

Strong graphics performance

Suited to rendering, CAD, 3D visualization, media workflows and remote graphics applications.

Ready for AI/ML

Supports inference, computer vision, data processing, model experimentation, and machine learning workloads.

Large VRAM

24 GB of VRAM per GPU handles models, 3D scenes and memory-heavy graphics pipelines.

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.

Deployment support

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

Use cases

Scenarios suited to the NVIDIA A5000

AI/ML AI and machine learning

Run inference, computer vision, OCR, data processing and model experimentation workflows.

Render Rendering and 3D graphics

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

Cloud GPU GPU cloud for business

Deploy a dedicated GPU flexibly, with no upfront investment in a physical GPU server.

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 A5000 configuration at HiTechCloud.

Which workloads suit NVIDIA A5000?

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

When should you choose A5000 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.

Is the A5000 suitable for cloud workstations?

Yes. The A5000 suits cloud workstations, 3D design, CAD, rendering, media processing, and professional creative workflows.

Can the A5000 run AI training?

It can handle small-scale training, light fine-tuning, inference, and model experimentation; for larger workloads consider the A100, H100, or a multi-GPU setup.

Should you choose A5000 or RTX A6000?

The RTX A6000 suits workloads needing more VRAM and higher performance; the A5000 suits a balanced cost profile for AI, rendering and media.

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 A5000 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