The NVIDIA A40 for rendering, AI inference and visual computing
NVIDIA A40 GPU infrastructure with 48 GB of VRAM per GPU, in configurations from 1 to 8 GPUs, suited to rendering, AI, computer vision and professional graphics workloads.
Dedicated A40 GPU for professional graphics and AI
The NVIDIA A40 suits workloads that need large VRAM, strong rendering capability, consistent inference, and dedicated GPU resources.
NVIDIA A40 GPU
The NVIDIA A40 suits professional graphics, AI inference, rendering and GPU compute workloads.
48 GB VRAM/GPU
Large VRAM capacity for AI models, complex render scenes, and image and video data.
Scale to 8 GPUs
Choose configurations from 1 to 8 GPUs to match rendering, AI and specialized compute needs.
Dedicated GPU
Dedicated GPU resources keep workloads consistent and make performance and running costs easier to control.
Choose an A40 configuration by rendering, AI and graphics scale
| Service plans | Price/month | GPU | Core | RAM | VRAM | P2P | Actions |
|---|---|---|---|---|---|---|---|
| A40 x1 | 21,384,000 VND/month | 1 GPU | 6 Core | 60 GB RAM | 48 GB VRAM | P2P: No | Sign up |
| A40 x2 | 42,768,000 VND/month | 2 GPU | 12 Core | 120 GB RAM | 96 GB VRAM | P2P: No | Sign up |
| A40 x4 | 85,536,000 VND/month | 4 GPU | 24 Core | 240 GB RAM | 192 GB VRAM | P2P: No | Sign up |
| A40 x8 | 171,072,000 VND/month | 8 GPU | 96 Core | 480 GB RAM | 384 GB VRAM | P2P: No | Sign up |
| Service plans | GPU | Core | RAM | VRAM | P2P | Disk | Type | Notes | Price/month | Actions |
|---|---|---|---|---|---|---|---|---|---|---|
| A40 x1 | 1 GPU | 6 Core | 60 GB RAM | 48 GB VRAM | P2P: No | 1088 GB Up to | Dedicated | NVIDIA A40 Dedicated GPU | 21,384,000 VND/month | Sign up |
| A40 x2 | 2 GPU | 12 Core | 120 GB RAM | 96 GB VRAM | P2P: No | 2048 GB Up to | Dedicated | NVIDIA A40 Dedicated GPU | 42,768,000 VND/month | Sign up |
| A40 x4 | 4 GPU | 24 Core | 240 GB RAM | 192 GB VRAM | P2P: No | 3968 GB Up to | Dedicated | NVIDIA A40 Dedicated GPU | 85,536,000 VND/month | Sign up |
| A40 x8 | 8 GPU | 96 Core | 480 GB RAM | 384 GB VRAM | P2P: No | 7808 GB Up to | Dedicated | NVIDIA A40 Dedicated GPU | 171,072,000 VND/month | Sign up |
Applies to all plans
- NVIDIA A40
- Dedicated
Optimized for rendering, AI inference and workstation workloads
The NVIDIA A40 provides flexible dedicated GPU configurations for workloads that need large VRAM, consistent performance, and room to scale.
Large VRAM for heavy workloads
48 GB of VRAM per GPU supports large render scenes, image datasets and memory-heavy AI tasks.
Optimized for visual computing
Suited to rendering, visualization, CAD/CAE, virtual workstations and media processing.
AI inference support
The A40 handles model serving, computer vision, embeddings and production AI pipelines well.
A range of configurations
Choose 1, 2, 4 or 8 GPUs to scale with project size and budget.
Flexible billing cycles
Billing cycles from 1 month to 60 months.
Deployment support
HiTechCloud advises on drivers, CUDA, frameworks, render engines and the right configuration for your workload.
Deployment scenarios suited to the NVIDIA A40
3D rendering, animation, visual effects, media processing and content creation pipelines.
Deploy model serving, computer vision, OCR and image and video analysis.
Suited to CAD/CAE, visualization, simulation and professional graphics workloads.
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 A40 configuration at HiTechCloud.
Which workloads is the NVIDIA A40 suited for?
Suited to GPU rendering, virtual workstations, visualization, AI inference, computer vision and GPU data processing.
When should you choose A40 x4 or x8?
Choose a multi-GPU configuration for parallel rendering, multiple graphics tasks, large batches or workloads that need high total VRAM.
Is the A40 suitable for 3D rendering?
Yes. The A40 suits Blender, Octane, V-Ray, Redshift, visualization, CAD, and professional graphics pipelines in the cloud.
Can the A40 be used for AI inference?
Yes. Beyond rendering, the A40 can serve inference, computer vision, and GPU workloads that need large VRAM.
Does HiTechCloud support graphics drivers?
Yes. HiTechCloud advises on drivers, CUDA, render engine environments and storage configuration to match your pipeline.
What billing cycles are available?
Plans are available on 1-month, 3-month, 6-month, 12-month, and long-term cycles.
Need consultation on NVIDIA A40 configuration for your workload?
HiTechCloud helps you select the GPU count, cores, RAM, storage, driver, CUDA version, render engine and framework for your deployment.




























































































































