NVIDIA RTX PRO 6000 phù hợp workload nào?

Phù hợp AI inference, fine-tuning, computer vision, generative AI, render 3D, VFX, CAD, simulation, visualization và data science.

RTX PRO 6000 có bao nhiêu VRAM?

Mỗi GPU có 96 GB VRAM. Cấu hình 8 GPU cung cấp tổng VRAM lên đến 768 GB cho workload cần bộ nhớ lớn.

Nên chọn RTX PRO 6000 x4 hoặc x8 khi nào?

Chọn x4 hoặc x8 khi cần xử lý nhiều job song song, render quy mô lớn, pipeline AI nặng, batch lớn hoặc tổng RAM/VRAM cao hơn.

RTX PRO 6000 có hỗ trợ NVLink không?

Theo dữ liệu cấu hình hiện tại, các gói RTX PRO 6000 được ghi nhận là không hỗ trợ NVLink. HiTechCloud có thể tư vấn lựa chọn khác nếu workload cần liên kết GPU-to-GPU chuyên dụng.

RTX PRO 6000 có phù hợp studio render không?

Có. 96 GB VRAM/GPU và tài nguyên dedicated phù hợp scene lớn, ray tracing, VFX, animation, CAD, digital twin và render farm cloud.

RTX PRO 6000 khác RTX 6000 Ada ở điểm nào?

RTX PRO 6000 trên trang này tập trung vào VRAM 96 GB/GPU và cấu hình CPU/RAM/storage lớn hơn, phù hợp workload chuyên nghiệp cần bộ nhớ cao.

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 khi có dữ liệu giá tương ứng.

NVIDIA RTX PRO 6000 Cloud GPU

NVIDIA RTX PRO 6000 Cloud GPU – cloud GPU for AI and professional graphics

NVIDIA RTX PRO 6000 at HiTechCloud provides 96 GB of VRAM per GPU, AMD Genoa CPUs and configurations scaling to 8 GPUs for AI, rendering, simulation, data science and professional graphics workflows.

View configuration GPU consultation

1–8 GPU 96 GB VRAM/GPU Up to 224 Core AMD Genoa

RTX PRO GPU

RTX PRO 6000 Cloud GPU for AI, deep learning, rendering and professional workloads

NVIDIA RTX PRO 6000 on HiTechCloud provides dedicated GPUs with 96 GB VRAM per GPU, large RAM and large storage — suited to businesses deploying AI/ML, rendering, simulation or high-performance cloud workstations.

RTX PRO 6000 96 GB

96 GB of VRAM per GPU handles large AI models, complex render scenes, visualization data and professional workflows.

Scale to 8 GPUs

Configurations from 1 to 8 GPUs, with up to 768 GB of total VRAM for AI, rendering, simulation and large-scale compute pipelines.

High-performance AMD Genoa

Pairs AMD Genoa CPUs with 28 to 224 cores, 225 GB to 1,800 GB of RAM, and large storage for heavy workloads.

Dedicated Cloud GPU

Dedicated cloud GPU resources at HiTechCloud keep workloads stable, preserve performance and scale easily.

NVIDIA RTX PRO 6000 pricing

Choose an RTX PRO 6000 configuration for AI, rendering and compute workloads

3185

RTX PRO 6000 x1

54.237.600đ

/ 1 month

GPU1 GPU

CPUAMD Genoa

Core28 Core

RAM225 GB RAM

VRAM96 GB VRAM

NVLinkNVLink: Not Supported

Disk3400 GB

TypeDedicated

NotesNVIDIA RTX PRO 6000 Cloud GPU

3186

Recommended

RTX PRO 6000 x2

108.475.200đ

/ 1 month

GPU2 GPU

CPUAMD Genoa

Core56 Core

RAM450 GB RAM

VRAM192 GB VRAM

NVLinkNVLink: Not Supported

Disk6900 GB

TypeDedicated

NotesNVIDIA RTX PRO 6000 Cloud GPU

3187

RTX PRO 6000 x4

216.950.400đ

/ 1 month

GPU4 GPU

CPUAMD Genoa

Core112 Core

RAM900 GB RAM

VRAM384 GB VRAM

NVLinkNVLink: Not Supported

Disk13900 GB

TypeDedicated

NotesNVIDIA RTX PRO 6000 Cloud GPU

3188

RTX PRO 6000 x8

433.900.800đ

/ 1 month

GPU8 GPU

CPUAMD Genoa

Core224 Core

RAM1800 GB RAM

VRAM768 GB VRAM

NVLinkNVLink: Not Supported

Disk27700 GB

TypeDedicated

NotesNVIDIA RTX PRO 6000 Cloud GPU

Service plans	Price/month	GPU	CPU	Core	RAM	VRAM	Actions
RTX PRO 6000 x1	54,237,600 VND/month	1 GPU	AMD Genoa	28 Core	225 GB RAM	96 GB VRAM	Sign up
RTX PRO 6000 x2	108,475,200 VND/month	2 GPU	AMD Genoa	56 Core	450 GB RAM	192 GB VRAM	Sign up
RTX PRO 6000 x4	216,950,400 VND/month	4 GPU	AMD Genoa	112 Core	900 GB RAM	384 GB VRAM	Sign up
RTX PRO 6000 x8	433,900,800 VND/month	8 GPU	AMD Genoa	224 Core	1800 GB RAM	768 GB VRAM	Sign up

Service plans	GPU	CPU	Core	RAM	VRAM	NVLink	Disk	Type	Notes	Price/month	Actions
RTX PRO 6000 x1	1 GPU	AMD Genoa	28 Core	225 GB RAM	96 GB VRAM	NVLink: Not Supported	3400 GB	Dedicated	NVIDIA RTX PRO 6000 Cloud GPU	54,237,600 VND/month	Sign up
RTX PRO 6000 x2	2 GPU	AMD Genoa	56 Core	450 GB RAM	192 GB VRAM	NVLink: Not Supported	6900 GB	Dedicated	NVIDIA RTX PRO 6000 Cloud GPU	108,475,200 VND/month	Sign up
RTX PRO 6000 x4	4 GPU	AMD Genoa	112 Core	900 GB RAM	384 GB VRAM	NVLink: Not Supported	13900 GB	Dedicated	NVIDIA RTX PRO 6000 Cloud GPU	216,950,400 VND/month	Sign up
RTX PRO 6000 x8	8 GPU	AMD Genoa	224 Core	1800 GB RAM	768 GB VRAM	NVLink: Not Supported	27700 GB	Dedicated	NVIDIA RTX PRO 6000 Cloud GPU	433,900,800 VND/month	Sign up

Applies to all plans

RTX PRO 6000 96 GB
AMD Genoa
NVLink: Not Supported
Dedicated

GPU Infrastructure

RTX PRO 6000 Cloud GPU for AI and premium cloud workstations

RTX PRO 6000 configurations let businesses deploy powerful cloud GPU capacity without an upfront investment in physical infrastructure.

AI performance for intensive workloads

Suited to inference, fine-tuning, computer vision, generative AI, multimodal models and large-data workloads.

Large VRAM for heavy models

96 GB of VRAM per GPU eases memory pressure with long contexts, large batches or complex 3D scenes.

Optimized for professional rendering

Accelerate 3D rendering, ray tracing, VFX, digital twins, CAD, DCC and content creation workflows.

Balanced CPU/RAM/storage

Every configuration ships with substantial cores, RAM and disk, suiting AI or render pipelines that process data continuously.

Flexible payment

Billing cycles from 1 to 60 months help optimize budgets for short-term projects or long-term operations.

HiTechCloud supports your deployment

Advice on drivers, CUDA, AI frameworks, render engines and the GPU configuration that fits your goals.

Use cases

Scenarios suited to the NVIDIA RTX PRO 6000

AI/ML Generative AI, inference and fine-tuning

Deploy LLMs, vision models, model serving, embeddings, RAG and AI experiments with large VRAM.

Render 3D rendering, VFX, and visualization

Accelerates Blender, V-Ray, Octane, Unreal Engine, CAD, digital twin and professional graphics pipelines.

Compute HPC, simulation, and data science

Suitable for simulation, data analysis, parallel processing, and GPU compute workloads with large resource needs.

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 PRO 6000 configuration at HiTechCloud.

Which workloads is the NVIDIA RTX PRO 6000 suited to?

Suited to AI inference, fine-tuning, computer vision, generative AI, 3D rendering, VFX, CAD, simulation, visualization, and data science.

How much VRAM does the RTX PRO 6000 have?

Each GPU has 96 GB of VRAM. An 8-GPU configuration provides up to 768 GB of total VRAM for memory-intensive workloads.

When should you choose RTX PRO 6000 x4 or x8?

Choose x4 or x8 when you need to run many jobs in parallel, large-scale rendering, heavy AI pipelines, large batches or more total RAM/VRAM.

Does the RTX PRO 6000 support NVLink?

Based on current configuration data, RTX PRO 6000 plans are recorded as not supporting NVLink. HiTechCloud can advise on alternatives if your workload requires a dedicated GPU-to-GPU interconnect.

Is the RTX PRO 6000 suitable for render studios?

Yes. 96 GB of VRAM per GPU and dedicated resources suit large scenes, ray tracing, VFX, animation, CAD, digital twins, and cloud render farms.

How does the RTX PRO 6000 differ from the RTX 6000 Ada?

The RTX PRO 6000 on this page focuses on 96 GB of VRAM per GPU and larger CPU/RAM/storage configurations, suited to professional workloads that need high memory.

What billing cycles are available?

Plans are available on 1-, 3-, 6- and 12-month cycles, plus longer terms where pricing is published.

Cloud GPU Ready