NVIDIA A16 Dedicated GPU

NVIDIA A16 for VDI, remote graphics and light AI inference

NVIDIA A16 GPU infrastructure in configurations from 1 to 16 GPUs, suited to virtual desktops, remote graphics, streaming, light inference and cost-optimized GPU workloads.

1–16 GPU 16 GB VRAM/GPU Up to 96 Core Dedicated
Ampere Virtualization GPU

Dedicated A16 GPU for virtual desktops and remote graphics

The NVIDIA A16 suits workloads that need a dedicated GPU with good cost efficiency, high user density and consistent performance for VDI or remote graphics.

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NVIDIA A16 GPU

The NVIDIA A16 suits virtual workstations, VDI, streaming, remote graphics and light GPU workloads.

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16 GB VRAM/GPU

Each GPU has 16 GB of VRAM, suited to graphics applications, virtual desktops and mid-scale image processing.

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Scales to 16 GPUs

Choose configurations from 1 to 16 GPUs to scale with session count or workload.

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Dedicated GPU

Dedicated GPU resources keep workloads consistent and make performance and running costs easier to control.

NVIDIA A16 pricing

Choose an A16 configuration by VDI, graphics and inference scale

3227

A16 x2

NVIDIA A16

19,828,800 VND / 1 month
  • GPU2 GPU
  • Core12 Core
  • RAM128 GB RAM
  • VRAM32 GB VRAM
  • P2PP2P: No
  • Disk700 GB Up to
  • TypeDedicated
  • NotesNVIDIA A16 Dedicated GPU
Sign up now
3228

A16 x4

NVIDIA A16

39,852,000 VND / 1 month
  • GPU4 GPU
  • Core24 Core
  • RAM256 GB RAM
  • VRAM64 GB VRAM
  • P2PP2P: No
  • Disk1500 GB Up to
  • TypeDedicated
  • NotesNVIDIA A16 Dedicated GPU
Sign up now
3229

A16 x8

NVIDIA A16

79,509,600 VND / 1 month
  • GPU8 GPU
  • Core48 Core
  • RAM496 GB RAM
  • VRAM128 GB VRAM
  • P2PP2P: No
  • Disk1500 GB Up to
  • TypeDedicated
  • NotesNVIDIA A16 Dedicated GPU
Sign up now
3230

A16 x16

NVIDIA A16

178,653,600 VND / 1 month
  • GPU16 GPU
  • Core96 Core
  • RAM960 GB RAM
  • VRAM256 GB VRAM
  • P2PP2P: No
  • Disk1500 GB Up to
  • TypeDedicated
  • NotesNVIDIA A16 Dedicated GPU
Sign up now
GPU Infrastructure

Optimized for VDI, graphics and light inference

The NVIDIA A16 offers flexible dedicated GPU configurations for workloads that scale across multiple GPUs while controlling cost.

Optimized for VDI and virtual desktops

The A16 suits virtual desktop environments, remote graphics applications and multi-user workloads.

Cost-effective

A balanced choice where you need a dedicated GPU but not a large amount of VRAM per GPU.

A range of configurations

Choose 1, 2, 4, 8 or 16 GPUs to scale with your deployment.

Suitable for streaming graphics

Supports graphics applications, light rendering, encoding and remote content streaming.

Flexible billing cycles

Billing cycles from 1 month to 60 months.

Deployment support

HiTechCloud advises on drivers, CUDA, the virtual desktop environment and the right configuration for your workload.

Use cases

Deployment scenarios suited to the NVIDIA A16

VDI Virtual desktop infrastructure

Deploy virtual desktops, remote graphics applications and dedicated GPU work environments.

Graphics Remote graphics workload

Suited to graphics streaming, image processing, media workflows and light rendering.

AI Lightweight AI inference

Run inference, small-scale computer vision, OCR and AI pipelines that need a cost-effective GPU.

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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.

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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

FAQ

Quick facts before choosing an NVIDIA A16 configuration at HiTechCloud.

Which workloads is the NVIDIA A16 suited for?

Suited to VDI, virtual desktops, remote graphics, graphics streaming, light inference and cost-efficient GPU workloads.

When should you choose A16 x8 or x16?

Choose a multi-GPU configuration when you need more concurrent sessions, parallel workloads or greater total VRAM.

Is the A16 suitable for virtual desktop deployments?

Yes. The A16 is optimized for VDI, remote workstations, remote graphics and multi-user environments that need a consistent GPU.

Can the A16 be used for AI inference?

It can be used for light inference, small-model experimentation or general-purpose GPU workloads that do not require large VRAM.

Does HiTechCloud help configure VDI environments?

Yes. HiTechCloud advises on CPU, RAM, storage, drivers and an operating approach matched to your session count.

What billing cycles are available?

Plans are available on 1-month, 3-month, 6-month, 12-month, and long-term cycles.

Dedicated GPU Ready

Need advice on an NVIDIA A16 configuration for your workload?

HiTechCloud helps you select the GPU count, cores, RAM, storage, driver, VDI environment and framework for your deployment.