NVIDIA RTX 4000 Ada phù hợp workload nào?

Phù hợp AI, Machine Learning, inference, render, đồ họa 3D, CAD, visualization và media workflow trên nền tảng cloud GPU.

RTX 4000 Ada khác gì so với A4000?

RTX 4000 Ada sử dụng kiến trúc Ada Lovelace mới hơn, tối ưu hiệu suất cho AI, đồ họa 3D và workload sáng tạo chuyên nghiệp.

RTX 4000 Ada phù hợp workstation cloud không?

Có. GPU này phù hợp workstation cloud, CAD, thiết kế 3D, render nhẹ, media workflow và thử nghiệm AI.

RTX 4000 Ada có dùng cho inference được không?

Có. RTX 4000 Ada phù hợp inference mô hình nhỏ, computer vision, demo AI và môi trường phát triển tiết kiệm chi phí.

Khi nào nên nâng lên RTX 6000 Ada?

Khi cần VRAM lớn hơn, render phức tạp hơn, dataset lớn hoặc workload AI/đồ họa cần hiệu năng cao hơn.

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 RTX 4000 Ada Cloud GPU

NVIDIA RTX 4000 Ada – Cloud GPU for AI and graphics performance

NVIDIA RTX 4000 Ada at HiTechCloud – an Ada Lovelace generation GPU with high performance for AI, machine learning and 3D graphics. A Cloud GPU solution tuned for cost and performance for enterprises.

View configuration GPU consultation

1 GPU 20 GB VRAM 8 Core Ada Lovelace

RTX Ada GPU

RTX 4000 Ada Cloud GPU for AI, machine learning and 3D graphics

NVIDIA RTX 4000 Ada on HiTechCloud provides dedicated Ada Lovelace generation GPUs for businesses that need infrastructure for AI, rendering, visualization, media workflows and professional graphics processing.

Ada Lovelace GPU

The NVIDIA RTX 4000 Ada GPU, built on the Ada Lovelace architecture, for AI, machine learning, and high-performance 3D graphics.

20 GB VRAM

20 GB of VRAM suits rendering, graphics processing, inference and professional creative workloads.

Flexible Cloud GPU

Deploy cloud GPU quickly with no upfront hardware, and scale easily per project.

Cost optimization

A solution balancing performance, cost and manageability for business use.

NVIDIA RTX 4000 Ada pricing

Choose the right billing cycle for the RTX 4000 Ada

3235

Recommended

RTX 4000 Ada x1

15.357.600đ

/ 1 month

GPU1 GPU

Core8 Core

RAM32 GB RAM

VRAM20 GB VRAM

P2PP2P: No

Disk500 GB Up to

TypeDedicated

NotesNVIDIA RTX 4000 Ada Cloud GPU

Service plans	Price/month	GPU	Core	RAM	VRAM	P2P	Actions
RTX 4000 Ada x1	15,357,600 VND/month	1 GPU	8 Core	32 GB RAM	20 GB VRAM	P2P: No	Sign up

Service plans	GPU	Core	RAM	VRAM	P2P	Disk	Type	Notes	Price/month	Actions
RTX 4000 Ada x1	1 GPU	8 Core	32 GB RAM	20 GB VRAM	P2P: No	500 GB Up to	Dedicated	NVIDIA RTX 4000 Ada Cloud GPU	15,357,600 VND/month	Sign up

Applies to all plans

NVIDIA RTX4000 Ada
1 GPU
8 Core
32 GB RAM
20 GB VRAM

GPU Infrastructure

Optimized for AI, machine learning and 3D graphics

NVIDIA RTX 4000 Ada lets businesses deploy cloud GPUs quickly, with high performance and controlled cost.

Ada Lovelace performance

Take advantage of the Ada architecture for graphics workloads, AI inference, rendering and GPU data processing.

Suited to 3D graphics

Supports 3D design, visualization, rendering, CAD, media workflows, and professional graphics applications.

Ready for AI/ML

Suited to inference, computer vision, model experimentation, image processing and machine learning pipelines.

Dedicated GPU

Dedicated GPU resources keep workloads stable and make performance and cost easy to control.

Flexible payment

Supports terms from 1 month to 60 months.

Deployment support

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

Use cases

Scenarios suited to the NVIDIA RTX 4000 Ada

AI/ML AI and machine learning

Run inference, computer vision, OCR, image processing and AI model experiments.

3D 3D graphics and rendering

Suited to rendering, visualization, CAD, media processing and creative workflows.

Cloud GPU GPU cloud for business

Deploy a dedicated GPU in the cloud at optimized cost with consistent performance.

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 4000 Ada configuration at HiTechCloud.

Which workloads is the NVIDIA RTX 4000 Ada suited to?

Suited to AI, machine learning, inference, rendering, 3D graphics, CAD, visualization and media workflows on cloud GPU.

How does RTX 4000 Ada differ from A4000?

The RTX 4000 Ada uses the newer Ada Lovelace architecture, tuned for AI, 3D graphics and professional creative workloads.

Is the RTX 4000 Ada suitable for cloud workstations?

Yes. This GPU suits cloud workstations, CAD, 3D design, light rendering, media workflows, and AI experimentation.

Can the RTX 4000 Ada be used for inference?

Yes. The RTX 4000 Ada suits small-model inference, computer vision, AI demos and cost-efficient development environments.

When should you upgrade to RTX 6000 Ada?

When you need more VRAM, more complex rendering, larger datasets, or higher-performance AI and graphics workloads.

What billing cycles are available?

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

Ada Cloud GPU Ready

Need a consultation on NVIDIA RTX 4000 Ada for your workload?

HiTechCloud helps you choose the configuration, storage, drivers, CUDA version, render environment, and AI framework that fit your deployment.

View pricing Contact us for a consultation