GPU Instances at HiTechCloud

Powerful GPU instances for AI/ML and HPC workloads

Launch GPU servers instantly with flexible configurations and direct access to high-end NVIDIA GPUs for AI/ML and HPC workloads.

24+ NVIDIA GPU models DGX / HGX / PCIe / RTX Inference, training, render, VDI Deployment consultation from HiTechCloud
GPU instance

High performance across many workload types

Powerful capacity, optimized to accelerate AI/ML and high-performance workloads at any scale.

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AI Training & Fine-tuning

Train large models, fine-tune LLMs and run computer vision, data science and HPC workloads on A100/H100/H200/B200/B300 configurations.

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AI Inference & Model Serving

Deploy inference APIs, RAG, embeddings, video analytics and model serving on L4, L40S, A10G, A30 or A100.

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Rendering & Workstation Cloud

Accelerate Blender, V-Ray, Octane, Unreal, CAD, visualization and media workflows with RTX/A-series GPU cloud.

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VDI, Remote Graphics & Multi-user

Run virtual desktops, remote workstations, remote graphics and multi-user environments with A16/A40/A-series.

GPU Catalog

Diverse infrastructure options

Training, inference or fine-tuning — HiTechCloud has a range of GPUs to match your requirements, at a price that fits and in the deployment environment you choose.

AI Factory & Training

Enterprise GPU for AI and HPC

DGX, HGX and data center GPU configurations for large models, distributed workloads and enterprise AI pipelines.

AI/ML & HPC Cluster GPU Clusters

High-performance GPU clusters for AI/ML, HPC, LLM training, distributed training and workloads that scale across many nodes.

16–64 GPU • B200 / H100 • InfiniBand • distributed training
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Blackwell AI GPU NVIDIA B300 SXM6

Current-generation GPU configurations for training, LLM fine-tuning, high-load inference and workloads that need large VRAM and bandwidth.

1–8 GPU • AMD EPYC Turin • multi-GPU training
Xem trang NVIDIA B300 SXM6
DGX Blackwell NVIDIA DGX B200

A DGX platform for enterprises building an AI factory, accelerating model training and running generative AI.

AI factories • large model training • high-volume inference
Xem trang NVIDIA DGX B200
Large Memory AI NVIDIA DGX H200

Suited to LLMs, RAG, model serving and AI workloads that need more GPU memory.

H200 GPU • large disk • high-VRAM workloads
Xem trang NVIDIA DGX H200
Hopper DGX NVIDIA DGX H100

A high-performance H100 platform for generative AI, fine-tuning, distributed training and enterprise HPC workloads.

1–8 GPU • training • inference • HPC
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Desktop Agent Computer NVIDIA DGX Spark

A desktop AI computer for prototyping, fine-tuning, inference, agentic AI, and local model development.

GB10 Grace Blackwell • 128 GB unified memory • DGX OS
Xem trang NVIDIA DGX Spark
HGX A100 Cluster NVIDIA HGX A100

Dense A100 clusters for distributed training, batch inference, simulation and large-scale data processing.

1–16 GPU • AI training • HPC
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A100 Fractional & Full GPU NVIDIA A100 PCIe

A balanced option for AI training, fine-tuning, inference, data science and experimenting with moderately large models.

Fractional GPU • full GPU • flexible VRAM
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Inference & Data Center

GPU cho AI Inference & Media

A GPU line that balances cost, VRAM, stability and scalability across a range of AI and compute problems.

AI Inference & Graphics NVIDIA L40S

Versatile data center GPUs for inference, computer vision, rendering, fine-tuning and workflows that need high performance.

Inference • fine-tuning • render • Plus plans
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Visual Computing NVIDIA L40

Suited to professional rendering, 3D graphics, visualization, simulation, video and steady inference workloads.

Rendering • visualization • AI inference
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Efficient Inference NVIDIA L4

Power-efficient GPUs for video analytics, transcoding, computer vision, inference and general-purpose AI applications.

Video AI • inference • media processing
Xem trang NVIDIA L4
Rendering & Inference NVIDIA A40

Optimized for GPU rendering, virtual workstations, visualization, CAD, computer vision and GPU data processing.

Render GPU • virtual workstation • AI inference
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Model Serving NVIDIA A30

Data center specifications for model serving, batch inference, computer vision, HPC and light training.

Inference • HPC • computer vision
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VDI & Remote Graphics NVIDIA A16

Optimized for virtual desktops, remote graphics, graphics streaming, light inference and multi-user workloads.

VDI • remote workstation • multiple sessions
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Cost-Optimized GPU NVIDIA A10G

General-purpose GPU cloud for AI inference, video processing, graphics streaming and cost-sensitive applications.

Inference • video • graphics streaming
Xem trang NVIDIA A10G
Proven Data Center GPU NVIDIA V100

A stable data center GPU for mid-sized training, inference, HPC, data science and budget-conscious workloads.

Mid-size AI training • HPC • data science
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Workstation & Rendering

GPU Cloud cho Render & CAD

The RTX and A-series lines suit 3D rendering, visualization, design, media workflows and AI development.

RTX PRO 6000 96 GB NVIDIA RTX PRO 6000

Cloud GPU for AI, rendering, simulation, and cloud workstations, with up to 768 GB of VRAM.

1–8 GPU • 96 GB VRAM/GPU • AMD Genoa
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Professional Ada GPU NVIDIA RTX 6000 Ada

Professional GPUs for VFX, CAD, visualization, digital twins, media workflows and AI development.

Large VRAM • rendering • AI development
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Ada Workstation NVIDIA RTX 4000 Ada

An economical cloud workstation option for 3D design, CAD, light rendering, media and AI demos.

CAD • light rendering • small-scale inference
Xem trang NVIDIA RTX 4000 Ada
Next-gen Creator GPU NVIDIA RTX 5090

Current-generation GPUs for startups, developers, render studios, AI experimentation and creative workloads that need high performance.

AI dev • render • GPU compute
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Creator & AI GPU NVIDIA RTX 4090

A capable configuration for individual and startup AI work, 3D rendering, cloud workstations and cost-efficient GPU compute.

Inference • light fine-tuning • rendering
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Large VRAM Workstation NVIDIA RTX A6000

A large-VRAM GPU workstation for complex rendering, visualization, CAD, media and memory-intensive AI workloads.

Rendering • CAD • inference • large VRAM
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Balanced Workstation GPU NVIDIA A5000

Suited to cloud workstations, media processing, CAD, rendering and AI experimentation at a balanced cost.

Light AI • rendering • media workflows
Xem trang NVIDIA A5000
Entry Workstation GPU NVIDIA RTX A4000

Cost-efficient cloud GPU workstations for 3D design, rendering, CAD, media workflows and lightweight AI.

CAD • media • small-scale inference
Xem trang NVIDIA RTX A4000
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High-performance GPU instances for a wide range of workloads

Powerful capacity, optimized to accelerate AI/ML and high-performance workloads at any scale.

02

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.

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Built to NVIDIA reference architecture

HiTechCloud GPU instances combine NVLink/PCIe, InfiniBand (RDMA), and RAIL topology to optimize AI/HPC performance.

GPU cloud architecture

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 and PCIe Switch for HiTechCloud GPU instances

NVLink / PCIe Switch

High-speed GPU-to-GPU connectivity within and between nodes, reducing bottlenecks during model training.

InfiniBand RDMA for distributed training

InfiniBand (RDMA)

Low-latency connectivity optimized for distributed training and reduced processing load on the host.

RAIL topology for high-performance GPU clusters

RAIL Topology

A parallel network architecture delivering higher bandwidth, redundancy, and consistent performance at any scale.

Auto scaling

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.

GPU auto scaling with Kubernetes

Auto scaling with Kubernetes

Scale GPU resources automatically from a handful to thousands of GPUs, with forecasting and provisioning ahead of demand.

SSH, TCP, and HTTP connection security for GPU instances

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

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.

GPU instance

Transparent pricing, no hidden fees

From large-scale training to real-time inference - pay only when you actually run, on a GPU cloud platform built for every AI and high-performance workload.

Ready to launch your first GPU instance?

From sign-up to a running GPU instance in under 5 minutes - no complex setup, no resource reservations, no charges while idle. Just deploy, run, and pay only for what you use.

The HiTechCloud ecosystem

More than compute - manage, scale, and build everything on one straightforward cloud ecosystem.

AgentBase

A complete management platform for deploying and operating AI agents securely at scale on enterprise-grade infrastructure.

Explore AgentBase

AI Platform

A unified platform for training, fine-tuning, and deploying AI models at any scale.

Explore AI Platform

Vector Database

Supports fast search, real-time analytics, log and large-scale event data, and vector databases for RAG.

Explore Vector Database

Kubernetes

Managed Kubernetes for container orchestration, AI services, and GPU cloud workloads.

Explore Kubernetes
Southeast Asia

Scale with confidence across Southeast Asia

Deploy systems and applications closer to your users, reducing latency and meeting local regulatory requirements.

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Bangkok

BKK-01

03

Ho Chi Minh

HCM-01 · HCM-02 · HCM-03

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Ha Noi

HAN-01 · HAN-02

Southeast Asia regional map for HiTechCloud infrastructure
1,000+ businesses

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.

Have a specific requirement? HiTechCloud is ready to help.

The HiTechCloud team advises on GPU architecture, networking, security, and an operating model matched to your real workloads.

FAQ

Frequently asked questions about GPU Instances

Quick answers to common questions before you create a GPU instance at HiTechCloud.

Which NVIDIA GPUs does HiTechCloud offer?

HiTechCloud offers a range of NVIDIA GPUs for cloud instances, including DGX/HGX, H100/H200/B200/B300, A100, L40S/L40/L4, A-series, RTX 4090/5090, RTX 6000 Ada and RTX PRO 6000.

Which AI and machine learning workloads suit a HiTechCloud GPU instance?

GPU instances suit training, fine-tuning, inference, RAG, embedding, computer vision, data science, model serving, simulation, 3D rendering and cloud workstations.

How does MIG (Multi-Instance GPU) work on HiTechCloud?

MIG (Multi-Instance GPU) lets a compatible GPU be partitioned into several independent GPU instances, optimizing resources for inference, model experimentation or several small workloads running in parallel.

Which regions and availability zones offer HiTechCloud GPU instances?

HiTechCloud supports GPU instance deployment based on available infrastructure and the location requirements of the project. Our consultants confirm the region, latency and connectivity options before deployment.

How long does it take to provision a GPU instance on HiTechCloud?

With a predefined configuration, signing up, selecting a GPU and launching the instance can be completed quickly, typically in a few minutes, depending on the configuration and the environment setup required.

GPU Cloud Ready

Ready to launch your first GPU instance?

From sign-up to a running GPU instance in under 5 minutes — no complex setup, no resource reservations, no charges while idle. Simply deploy, run and pay only for what you use.