NVIDIA RTX 5090 Cloud GPU – new-generation AI, rendering and workstation performance
NVIDIA RTX 5090 on HiTechCloud – a 32 GB VRAM cloud GPU tuned for AI, deep learning, 3D rendering, cloud workstations and other high-performance GPU workloads. Available flexibly from 1 to 8 dedicated GPUs.
NVIDIA RTX 5090 Cloud GPU for AI, 3D rendering, workstations and GPU compute
NVIDIA RTX 5090 on HiTechCloud provides dedicated GPUs with 32 GB VRAM per GPU, large CPU/RAM configurations and a choice of billing cycles — suited to businesses that need to accelerate GPU workloads without investing in physical infrastructure.
RTX 5090 32 GB VRAM
A new-generation Cloud GPU for AI, rendering, simulation, 3D graphics and workstation workloads that need high performance.
32 GB VRAM/GPU
Large VRAM for AI models, complex rendering, data processing and professional graphics workloads.
Scale to 8 GPUs
Configurations from 1 to 8 GPUs with up to 256 GB of total VRAM, for flexible acceleration needs.
Dedicated Cloud GPU
Dedicated GPU resources keep workloads consistent, make performance easier to control and speed up deployment on cloud infrastructure.
Choose an RTX 5090 configuration for AI, rendering and cloud workstation workloads
| Service plans | Price/month | GPU | Core | RAM | VRAM | P2P | Actions |
|---|---|---|---|---|---|---|---|
| RTX 5090 x1 | 19,585,800 VND/month | 1 GPU | 12 vCPU | 120 GB RAM | 32 GB VRAM | P2P: No | Sign up |
| RTX 5090 x2 | 39,171,600 VND/month | 2 GPU | 24 vCPU | 240 GB RAM | 64 GB VRAM | P2P: No | Sign up |
| RTX 5090 x4 | 78,343,200 VND/month | 4 GPU | 60 vCPU | 480 GB RAM | 128 GB VRAM | P2P: No | Sign up |
| RTX 5090 x8 | 156,686,400 VND/month | 8 GPU | 120 vCPU | 960 GB RAM | 256 GB VRAM | P2P: No | Sign up |
| Service plans | GPU | Core | RAM | VRAM | P2P | Disk | Type | Notes | Price/month | Actions |
|---|---|---|---|---|---|---|---|---|---|---|
| RTX 5090 x1 | 1 GPU | 12 vCPU | 120 GB RAM | 32 GB VRAM | P2P: No | 900 GB Up to | Dedicated | NVIDIA RTX 5090 Cloud GPU | 19,585,800 VND/month | Sign up |
| RTX 5090 x2 | 2 GPU | 24 vCPU | 240 GB RAM | 64 GB VRAM | P2P: No | 1750 GB Up to | Dedicated | NVIDIA RTX 5090 Cloud GPU | 39,171,600 VND/month | Sign up |
| RTX 5090 x4 | 4 GPU | 60 vCPU | 480 GB RAM | 128 GB VRAM | P2P: No | 3400 GB Up to | Dedicated | NVIDIA RTX 5090 Cloud GPU | 78,343,200 VND/month | Sign up |
| RTX 5090 x8 | 8 GPU | 120 vCPU | 960 GB RAM | 256 GB VRAM | P2P: No | 6700 GB | Dedicated | NVIDIA RTX 5090 Cloud GPU | 156,686,400 VND/month | Sign up |
Applies to all plans
- RTX 5090 32 GB
- Dedicated
Flexible enough for AI, rendering, graphics, and high-performance GPU compute
The NVIDIA RTX 5090 accelerates demanding workloads with dedicated GPUs, large VRAM and fast scaling.
Next-generation AI performance
Optimized for inference, fine-tuning, computer vision, generative AI and pipelines that need a powerful GPU.
Rendering and 3D graphics
Suited to GPU rendering, visualization, 3D design, animation, VFX and cloud workstations.
Multi-GPU configurations
Choose 1, 2, 4 or 8 GPUs to match the workload, from experiments to large-scale production.
Large VRAM for demanding projects
Up to 256 GB of total VRAM handles models, render scenes and large datasets more efficiently.
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 5090
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 5090 configuration at HiTechCloud.
Which workloads is the NVIDIA RTX 5090 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 5090 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.
Which users is the RTX 5090 suited for?
Suited to AI teams, render studios, developers, startups and businesses that need a current-generation GPU for testing or mid-scale production.
Is the RTX 5090 suitable for fine-tuning?
It can suit fine-tuning and inference depending on model size, batch size, and the project's VRAM requirements.
When should you choose a data center GPU over the RTX 5090?
When you need a stronger SLA, continuous workloads, more VRAM or data center infrastructure built for enterprise AI training.
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 5090 Workload?
HiTechCloud helps you select the GPU count, vCPUs, RAM, storage, drivers, CUDA version, AI framework, and render stack to match your deployment.




























































































































