NVIDIA RTX A6000 – Cloud GPU 48 GB VRAM for AI and graphics
NVIDIA RTX A6000 HiTechCloud – a high-performance 48 GB VRAM cloud GPU for AI, machine learning, rendering, 3D visualization and professional graphics workloads. A flexible, powerful and cost-optimized dedicated GPU solution for enterprises.
RTX A6000 Cloud GPU for AI, machine learning and professional graphics
The NVIDIA RTX A6000 on HiTechCloud provides a dedicated GPU with 48 GB of VRAM per GPU, suited to businesses that need infrastructure for AI inference, rendering, media processing, CAD, 3D visualization and demanding graphics workflows.
NVIDIA RTX A6000 Cloud GPU
A 48 GB VRAM cloud GPU for AI, machine learning, rendering and professional graphics workflows.
48 GB VRAM/GPU
Large VRAM capacity for AI models, complex 3D scenes, visualization and GPU data processing.
Scale to 8 GPUs
Configurations from 1 to 8 GPUs with up to 384 GB of total VRAM for large-scale workloads.
AMD EPYC Rome
An AMD EPYC Rome CPU platform paired with the RTX A6000 delivers stable operation for business use.
Choose an A6000 configuration for AI, rendering and graphics workloads
| Service plans | Price/month | GPU | CPU | Core | RAM | VRAM | Actions |
|---|---|---|---|---|---|---|---|
| A6000 x1 | 9,914,400 VND/month | 1 GPU | AMD EPYC Rome | 10 Core | 60 GB RAM | 48 GB VRAM | Sign up |
| A6000 x2 | 19,634,400 VND/month | 2 GPU | AMD EPYC Rome | 20 Core | 120 GB RAM | 96 GB VRAM | Sign up |
| A6000 x4 | 39,268,800 VND/month | 4 GPU | AMD EPYC Rome | 40 Core | 240 GB RAM | 192 GB VRAM | Sign up |
| A6000 x8 | 78,732,000 VND/month | 8 GPU | AMD EPYC Rome | 80 Core | 480 GB RAM | 384 GB VRAM | Sign up |
| Service plans | GPU | CPU | Core | RAM | VRAM | P2P | Disk | Type | Notes | Price/month | Actions |
|---|---|---|---|---|---|---|---|---|---|---|---|
| A6000 x1 | 1 GPU | AMD EPYC Rome | 10 Core | 60 GB RAM | 48 GB VRAM | P2P: No | 512 GB Up to | Dedicated | NVIDIA RTX A6000 Cloud GPU | 9,914,400 VND/month | Sign up |
| A6000 x2 | 2 GPU | AMD EPYC Rome | 20 Core | 120 GB RAM | 96 GB VRAM | P2P: 50 GB/s | 512 GB Up to | Dedicated | NVIDIA RTX A6000 Cloud GPU | 19,634,400 VND/month | Sign up |
| A6000 x4 | 4 GPU | AMD EPYC Rome | 40 Core | 240 GB RAM | 192 GB VRAM | P2P: 50 GB/s | 512 GB Up to | Dedicated | NVIDIA RTX A6000 Cloud GPU | 39,268,800 VND/month | Sign up |
| A6000 x8 | 8 GPU | AMD EPYC Rome | 80 Core | 480 GB RAM | 384 GB VRAM | P2P: 50 GB/s | 512 GB Up to | Dedicated | NVIDIA RTX A6000 Cloud GPU | 78,732,000 VND/month | Sign up |
Applies to all plans
- RTX A6000 48 GB
- AMD EPYC Rome
- 512 GB Up to
- Dedicated
Flexible enough for AI, machine learning, rendering, and graphics processing
NVIDIA RTX A6000 lets businesses deploy cloud GPU quickly, control cost and scale with actual demand.
Large VRAM for AI
48 GB of VRAM per GPU suits inference, small-scale training, computer vision and memory-heavy models.
Strong for 3D rendering
Optimized for rendering, CAD, 3D visualization, media processing and professional graphics applications.
P2P across multiple GPUs
Configurations of 2 GPUs or more support 50 GB/s peer-to-peer, suited to parallel workloads.
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.
Scenarios suited to the NVIDIA RTX A6000
Run inference, computer vision, OCR, small-scale training and model experimentation workflows.
Suited to modeling, 3D rendering, CAD, visualization, media processing, and design.
Deploy a dedicated RTX A6000 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.
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 RTX A6000 configuration at HiTechCloud.
Which workloads is the NVIDIA RTX A6000 suited to?
Suited to AI, machine learning, inference, rendering, CAD, media processing, visualization, and professional graphics on a cloud GPU platform.
When should you choose A6000 x4 or x8?
Choose a multi-GPU configuration when you need large total VRAM, parallel workloads, large-scale rendering, or resource-hungry AI pipelines.
Is the RTX A6000 suitable for large models?
Yes. Large VRAM makes the RTX A6000 a good fit for inference, fine-tuning, complex rendering and workloads that need substantial GPU memory.
Which render engines suit the RTX A6000?
Works with major GPU render engines such as Blender Cycles, Octane, V-Ray GPU and Redshift, and with professional visualization pipelines.
Does HiTechCloud support multi-GPU A6000?
Yes. HiTechCloud advises on GPU count, CPU, RAM, storage and the runtime environment for your render or AI pipeline.
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 RTX A6000 Workload?
HiTechCloud helps you select the GPU count, cores, RAM, storage, drivers, CUDA version, render environment, and AI framework to match your deployment.




























































































































