NVIDIA RTX 6000 Ada – Cloud GPU AI & next-generation graphics
NVIDIA RTX 6000 Ada, HiTechCloud – an Ada Lovelace architecture GPU with high performance for AI, deep learning, 3D rendering and complex simulation. A high-end Cloud GPU solution for enterprises.
RTX 6000 Ada Cloud GPU for AI, deep learning, rendering and complex simulation
NVIDIA RTX 6000 Ada on HiTechCloud provides dedicated GPUs with 48 GB VRAM per GPU, AMD Genoa CPUs and configurations scaling to 8 GPUs for businesses that need high-performance GPU infrastructure.
NVIDIA RTX 6000 Ada Cloud GPU
Ada Lovelace cloud GPU for AI, deep learning, 3D rendering, simulation and high-end graphics workflows.
48 GB VRAM/GPU
Large VRAM for AI models, complex 3D scenes, visualization data and GPU-intensive processing pipelines.
Scale to 8 GPUs
Configurations from 1 to 8 GPUs with up to 384 GB of total VRAM, suited to large-scale enterprise workloads.
AMD Genoa
An AMD Genoa CPU platform paired with the RTX 6000 Ada optimizes performance for new-generation cloud GPU.
Choose an RTX 6000 Ada configuration for AI, rendering and graphics workloads
| Service plans | Price/month | GPU | CPU | Core | RAM | VRAM | Actions |
|---|---|---|---|---|---|---|---|
| RTX 6000 Ada x1 | 19,245,600 VND/month | 1 GPU | AMD Genoa | 10 Core | 60 GB RAM | 48 GB VRAM | Sign up |
| RTX 6000 Ada x2 | 38,491,200 VND/month | 2 GPU | AMD Genoa | 20 Core | 120 GB RAM | 96 GB VRAM | Sign up |
| RTX 6000 Ada x4 | 77,176,800 VND/month | 4 GPU | AMD Genoa | 40 Core | 240 GB RAM | 192 GB VRAM | Sign up |
| RTX 6000 Ada x8 | 154,159,200 VND/month | 8 GPU | AMD Genoa | 80 Core | 480 GB RAM | 384 GB VRAM | Sign up |
| Service plans | GPU | CPU | Core | RAM | VRAM | P2P | Disk | Type | Notes | Price/month | Actions |
|---|---|---|---|---|---|---|---|---|---|---|---|
| RTX 6000 Ada x1 | 1 GPU | AMD Genoa | 10 Core | 60 GB RAM | 48 GB VRAM | P2P: No | 512 GB Up to | Dedicated | NVIDIA RTX 6000 Ada Cloud GPU | 19,245,600 VND/month | Sign up |
| RTX 6000 Ada x2 | 2 GPU | AMD Genoa | 20 Core | 120 GB RAM | 96 GB VRAM | P2P: 50 GB/s | 512 GB Up to | Dedicated | NVIDIA RTX 6000 Ada Cloud GPU | 38,491,200 VND/month | Sign up |
| RTX 6000 Ada x4 | 4 GPU | AMD Genoa | 40 Core | 240 GB RAM | 192 GB VRAM | P2P: 50 GB/s | 512 GB Up to | Dedicated | NVIDIA RTX 6000 Ada Cloud GPU | 77,176,800 VND/month | Sign up |
| RTX 6000 Ada x8 | 8 GPU | AMD Genoa | 80 Core | 480 GB RAM | 384 GB VRAM | P2P: 50 GB/s | 512 GB Up to | Dedicated | NVIDIA RTX 6000 Ada Cloud GPU | 154,159,200 VND/month | Sign up |
Applies to all plans
- RTX 6000 Ada 48 GB
- AMD Genoa
- 512 GB Up to
- Dedicated
Flexible for AI, deep learning, 3D rendering and complex simulation
The NVIDIA RTX 6000 Ada lets businesses deploy high-end Cloud GPU, tune performance, and scale to actual demand.
Ada Lovelace architecture
New-generation GPU performance for AI, ray tracing, rendering, simulation and professional graphics.
Large VRAM for AI
48 GB of VRAM per GPU suits inference, fine-tuning, computer vision, mid-sized large models and memory-intensive workloads.
P2P cho multi-GPU
Configurations of 2 GPUs or more support 50 GB/s peer-to-peer, suited to parallel processing.
Premium dedicated GPU
Dedicated resources keep workloads stable, preserve performance and suit production environments.
A range of billing cycles
Terms from 1 to 60 months are available, making budget optimization straightforward.
Deployment support
HiTechCloud advises on CUDA, drivers, AI frameworks, render engines and the right GPU configuration.
Scenarios suited to the NVIDIA RTX 6000 Ada
Deploy AI models, computer vision, NLP, inference, fine-tuning, and deep learning experiments.
Optimized for 3D rendering, ray tracing, CAD, DCC, visualization, media processing and complex simulation.
Use a dedicated RTX 6000 Ada as needed, with no upfront investment in physical GPU infrastructure.
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 6000 Ada configuration at HiTechCloud.
Which workloads is the NVIDIA RTX 6000 Ada suited to?
Suited to AI, deep learning, inference, 3D rendering, CAD, visualization, complex simulation and professional graphics on cloud GPU.
When should you choose RTX 6000 Ada x4 or x8?
Choose a multi-GPU configuration when you need large total VRAM, parallel processing, large-scale rendering or a resource-heavy AI pipeline.
Is the RTX 6000 Ada suitable for render studios?
Yes. The RTX 6000 Ada suits 3D studios, VFX, CAD, visualization, digital twins and professional media pipelines.
Can the RTX 6000 Ada be used for AI?
Yes. Large VRAM and high performance make the RTX 6000 Ada a good fit for inference, fine-tuning, computer vision and AI model development.
When should you choose the RTX 6000 Ada over the RTX 4000 Ada?
When you need more VRAM, complex rendering, larger AI workloads, or many tasks running in parallel reliably.
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 RTX 6000 Ada configuration for your workload?
HiTechCloud helps you select the GPU count, cores, RAM, storage, driver, CUDA version, render engine and AI framework for your deployment.




























































































































