NVIDIA RTX 4090 Cloud GPU – strong performance for AI, rendering and workstations
NVIDIA RTX 4090 HiTechCloud – a 24 GB VRAM cloud GPU optimized for AI, deep learning, 3D rendering, cloud workstations and high-performance GPU workloads. Configurable from 1 to 8 dedicated GPUs.
NVIDIA RTX 4090 Cloud GPU for AI, 3D rendering, workstations and GPU compute
NVIDIA RTX 4090 on HiTechCloud provides dedicated GPUs with 24 GB VRAM per GPU, large vCPU/RAM configurations and a choice of billing cycles — suited to businesses that need to accelerate GPU workloads without investing in physical infrastructure.
RTX 4090 24 GB VRAM
High-performance Cloud GPU for AI, rendering, simulation, 3D graphics and professional workstation workloads.
24 GB VRAM/GPU
VRAM capacity suited to inference, fine-tuning, GPU rendering, visualization and demanding graphics applications.
Scale to 8 GPUs
Configurations from 1 to 8 GPUs with up to 192 GB of total VRAM, covering a range of workload sizes.
Dedicated Cloud GPU
Dedicated GPU resources keep workloads stable, deploy quickly and cost less than investing in your own server hardware.
Choose an RTX 4090 configuration for AI, rendering and cloud workstation workloads
| Service plans | Price/month | GPU | Core | RAM | VRAM | P2P | Actions |
|---|---|---|---|---|---|---|---|
| RTX 4090 x1 | 11,664,000 VND/month | 1 GPU | 12 vCPU | 70 GB RAM | 24 GB VRAM | P2P: No | Sign up |
| RTX 4090 x2 | 23,328,000 VND/month | 2 GPU | 24 vCPU | 140 GB RAM | 48 GB VRAM | P2P: No | Sign up |
| RTX 4090 x4 | 46,656,000 VND/month | 4 GPU | 60 vCPU | 352 GB RAM | 60 GB VRAM | P2P: No | Sign up |
| RTX 4090 x8 | 93,312,000 VND/month | 8 GPU | 120 vCPU | 706 GB RAM | 192 GB VRAM | P2P: No | Sign up |
| Service plans | GPU | Core | RAM | VRAM | P2P | Disk | Type | Notes | Price/month | Actions |
|---|---|---|---|---|---|---|---|---|---|---|
| RTX 4090 x1 | 1 GPU | 12 vCPU | 70 GB RAM | 24 GB VRAM | P2P: No | 850 GB Up to | Dedicated | NVIDIA RTX 4090 Cloud GPU | 11,664,000 VND/month | Sign up |
| RTX 4090 x2 | 2 GPU | 24 vCPU | 140 GB RAM | 48 GB VRAM | P2P: No | 1600 GB Up to | Dedicated | NVIDIA RTX 4090 Cloud GPU | 23,328,000 VND/month | Sign up |
| RTX 4090 x4 | 4 GPU | 60 vCPU | 352 GB RAM | 60 GB VRAM | P2P: No | 3100 GB Up to | Dedicated | NVIDIA RTX 4090 Cloud GPU | 46,656,000 VND/month | Sign up |
| RTX 4090 x8 | 8 GPU | 120 vCPU | 706 GB RAM | 192 GB VRAM | P2P: No | 3100 GB Up to | Dedicated | NVIDIA RTX 4090 Cloud GPU | 93,312,000 VND/month | Sign up |
Applies to all plans
- NVIDIA RTX 4090 24 GB
- Dedicated
Flexible enough for AI, rendering, graphics, and high-performance GPU compute
The NVIDIA RTX 4090 accelerates demanding workloads with dedicated GPUs, large VRAM and fast scaling.
Accelerate AI and inference
Suited to inference, computer vision, NLP, generative AI and any pipeline that needs a powerful GPU.
Rendering and cloud workstations
Optimized for GPU rendering, 3D design, animation, VFX, CAD/CAM and remote workstation environments.
Multi-GPU configurations
Choose 1, 2, 4 or 8 GPUs to match the workload, from quick experiments to large-scale production.
Large RAM and storage
Plans include vCPU, RAM, and large disks for handling datasets, scene rendering, and complex graphics pipelines.
Flexible billing cycles
Terms from 1 to 60 months are available, making budget optimization straightforward.
HiTechCloud technical support
Our technical team supports drivers, CUDA, AI frameworks, render engines, and the configuration that fits your workload.
Scenarios suited to the NVIDIA RTX 4090
Accelerate AI models, image and video processing, NLP, generative AI, and data pipelines on cloud GPUs.
Suited to Blender, Unreal, Omniverse, V-Ray, Octane, and professional graphics workflows.
Run simulation, data analysis, batch processing, and any application that needs dedicated GPU resources.
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 4090 configuration at HiTechCloud.
Which workloads is the NVIDIA RTX 4090 suited to?
Suited to AI inference, fine-tuning, 3D rendering, cloud workstations, computer vision, GPU compute, and professional graphics workloads.
When should you choose RTX 4090 x4 or x8?
Choose a multi-GPU configuration when you need more total VRAM, want to run several tasks in parallel, or are doing large-scale rendering or heavy AI and compute workloads.
Is the RTX 4090 suitable for personal AI and startups?
Yes. The RTX 4090 suits AI experimentation, inference, light fine-tuning, rendering and cost-efficient development environments.
Is the RTX 4090 suitable for production?
The RTX 4090 suits many mid-scale production workloads; enterprise workloads that need data center-grade stability should consider the L40S, A100 or H100.
When do you need multiple RTX 4090s?
When you need to run many jobs in parallel, large batch renders, high-load inference, or more total VRAM and compute than a single GPU provides.
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 4090 for workload?
HiTechCloud helps you select the GPU count, vCPUs, RAM, storage, drivers, CUDA version, AI framework, and render stack to match your deployment.




























































































































