NVIDIA HGX A100 for high-performance AI training, inference, and HPC
NVIDIA A100 40 GiB/80 GiB GPU infrastructure with options from 1 to 16 GPUs, supporting AI, HPC, inference, and intensive training workloads.
A100 cloud GPUs for AI workloads that need consistent performance
The NVIDIA HGX A100 is built for AI training, fine-tuning, inference, and HPC workloads that need powerful GPUs, large VRAM, and multi-GPU scaling.
NVIDIA HGX A100
A100 GPU infrastructure for AI training, inference, HPC, and big data workloads.
A100 40 GiB/80 GiB
A100 configurations from 1 to 16 GPUs, suiting deployments of every size.
CPU Intel Platinum
Optional HGX node with 2x Intel Platinum 8480+ and 224 cores / 448 threads.
Up to 640 GiB+ VRAM
Multi-GPU configurations provide large total VRAM for big batches, large models, and HPC.
Choose an A100 configuration to match your AI workload
| Service plans | Price/month | GPU | CPU | Core | RAM | VRAM | Actions |
|---|---|---|---|---|---|---|---|
| NVIDIA HGX A100 | 534,240,000 VND/month | 8 GPU | 2x Intel Platinum 8480+ | 224 cores / 448 threads | 2048 GB RAM | 640 GB VRAM | Sign up |
| NVIDIA A100-01 | 95,839,200 VND/month | 1x NVIDIA A100 | 30 CPUs | 30 CPUs | 200 GiB RAM | 40 GiB VRAM | Sign up |
| NVIDIA A100-02 | 75,349,440 VND/month | 1x NVIDIA A100 | 12 CPUs | 12 CPUs | 120 GiB RAM | 80 GiB VRAM | Sign up |
| NVIDIA A100-03 | 164,365,200 VND/month | 1x NVIDIA A100 | 12 CPUs | 12 CPUs | 85 GiB RAM | 40 GiB VRAM | Sign up |
| NVIDIA A100-04 | 226,048,320 VND/month | 1x NVIDIA A100 | 12 CPUs | 12 CPUs | 170 GiB RAM | 80 GiB VRAM | Sign up |
| NVIDIA A100-05 | 223,248,960 VND/month | 2x NVIDIA A100 | 24 CPUs | 24 CPUs | 240 GiB RAM | 2x 80 GiB VRAM | Sign up |
| NVIDIA A100-06 | 497,236,320 VND/month | 2x NVIDIA A100 | 24 CPUs | 24 CPUs | 170 GiB RAM | 2x 40 GiB VRAM | Sign up |
| NVIDIA A100-07 | 690,042,240 VND/month | 2x NVIDIA A100 | 24 CPUs | 24 CPUs | 340 GiB RAM | 2x 80 GiB VRAM | Sign up |
| NVIDIA A100-08 | 1,365,426,720 VND/month | 4x NVIDIA A100 | 48 CPUs | 48 CPUs | 680 GiB RAM | 4x 80 GiB VRAM | Sign up |
| NVIDIA A100-09 | 1,365,426,720 VND/month | 4x NVIDIA A100 | 48 CPUs | 48 CPUs | 680 GiB RAM | 4x 80 GiB VRAM | Sign up |
| NVIDIA A100-10 | 2,725,779,600 VND/month | 8x NVIDIA A100 | 96 CPUs | 96 CPUs | 1336 GiB RAM | 8x 80 GiB VRAM | Sign up |
| NVIDIA A100-11 | 3,780,574,560 VND/month | 16x NVIDIA A100 | 96 CPUs | 96 CPUs | 1336 GiB RAM | 16x 40 GiB VRAM | Sign up |
| Service plans | GPU | CPU | Core | RAM | VRAM | Connectivity | Disk | Notes | Price/month | Actions |
|---|---|---|---|---|---|---|---|---|---|---|
| NVIDIA HGX A100 | 8 GPU | 2x Intel Platinum 8480+ | 224 cores / 448 threads | 2048 GB RAM | 640 GB VRAM | HGX A100 full-node | 960 GB | Dedicated HGX A100 node | 534,240,000 VND/month | Sign up |
| NVIDIA A100-01 | 1x NVIDIA A100 | 30 CPUs | 30 CPUs | 200 GiB RAM | 40 GiB VRAM | Instance: gpu_1x_a100_sxm4 | 512 GiB SSD | Cannot be stopped/restarted • Delete only | 95,839,200 VND/month | Sign up |
| NVIDIA A100-02 | 1x NVIDIA A100 | 12 CPUs | 12 CPUs | 120 GiB RAM | 80 GiB VRAM | PCIE • a100-80gb.1x | 512 GiB SSD | Cannot be stopped/restarted • Flexible Storage | 75,349,440 VND/month | Sign up |
| NVIDIA A100-03 | 1x NVIDIA A100 | 12 CPUs | 12 CPUs | 85 GiB RAM | 40 GiB VRAM | Flexible Storage | 256 GiB SSD | Cannot be stopped/restarted • Delete only | 164,365,200 VND/month | Sign up |
| NVIDIA A100-04 | 1x NVIDIA A100 | 12 CPUs | 12 CPUs | 170 GiB RAM | 80 GiB VRAM | Flexible Storage | 256 GiB SSD | Cannot be stopped/restarted • Delete only | 226,048,320 VND/month | Sign up |
| NVIDIA A100-05 | 2x NVIDIA A100 | 24 CPUs | 24 CPUs | 240 GiB RAM | 2x 80 GiB VRAM | Flexible Storage Or PCIE | 256 GiB SSD | a100-80gb.2x • Cannot be stopped/restarted | 223,248,960 VND/month | Sign up |
| NVIDIA A100-06 | 2x NVIDIA A100 | 24 CPUs | 24 CPUs | 170 GiB RAM | 2x 40 GiB VRAM | Flexible Storage Or PCIE | 512 GiB SSD | a2-highgpu-2g-nvidia-tesla-a100-2 | 497,236,320 VND/month | Sign up |
| NVIDIA A100-07 | 2x NVIDIA A100 | 24 CPUs | 24 CPUs | 340 GiB RAM | 2x 80 GiB VRAM | Flexible Storage Or PCIE | 1024 GiB SSD | a2-ultragpu-2g-nvidia-a100-80gb-2 | 690,042,240 VND/month | Sign up |
| NVIDIA A100-08 | 4x NVIDIA A100 | 48 CPUs | 48 CPUs | 680 GiB RAM | 4x 80 GiB VRAM | Flexible Storage Or PCIE | 512 GiB SSD | a2-ultragpu-4g-nvidia-a100-80gb-4 | 1,365,426,720 VND/month | Sign up |
| NVIDIA A100-09 | 4x NVIDIA A100 | 48 CPUs | 48 CPUs | 680 GiB RAM | 4x 80 GiB VRAM | Flexible Storage Or PCIE | 512 GiB SSD | a2-ultragpu-4g-nvidia-a100-80gb-4 | 1,365,426,720 VND/month | Sign up |
| NVIDIA A100-10 | 8x NVIDIA A100 | 96 CPUs | 96 CPUs | 1336 GiB RAM | 8x 80 GiB VRAM | Flexible Storage Or PCIE | 512 GiB SSD | a2-ultragpu-8g-nvidia-a100-80gb-8 | 2,725,779,600 VND/month | Sign up |
| NVIDIA A100-11 | 16x NVIDIA A100 | 96 CPUs | 96 CPUs | 1336 GiB RAM | 16x 40 GiB VRAM | Flexible Storage Or PCIE | 1024 GiB SSD | a2-megagpu-16g-nvidia-tesla-a100-16 | 3,780,574,560 VND/month | Sign up |
Applies to all plans
- NVIDIA HGX A100
- A100 40 GiB/80 GiB
- CPU Intel Platinum
- Up to 640 GiB+ VRAM
Optimized for AI, HPC, and compute-intensive workloads
The NVIDIA HGX A100 offers options from a single GPU to multi-GPU, so you can scale as your AI product matures.
Stable for production AI
The A100 is a widely used GPU platform for inference, training, fine-tuning, and AI pipelines.
Flexible GPU count
Choose 1, 2, 4, 8, or 16 A100 GPUs to match your workload and budget.
Multiple VRAM tiers
A100 40 GiB and 80 GiB configurations, to optimize cost or handle large models.
Dedicated HGX node
The NVIDIA HGX A100 plan suits environments that need dedicated high-performance GPU nodes.
Long-term billing cycles
Billing cycles from 1 month to 60 months.
Deployment support
HiTechCloud advises on the configuration, drivers, runtime, and AI framework that fit.
Deployment scenarios suited to the NVIDIA HGX A100
Deploy the A100 for model training, fine-tuning, embeddings, and AI applications.
Optimized for inference, batch processing, recommendation, and production AI services.
Accelerate simulation, rendering, scientific computing, and data-intensive processing.
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.
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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
Key points to know before choosing an NVIDIA HGX A100 configuration at HiTechCloud.
Which workloads suit the NVIDIA HGX A100?
Suited to AI training, fine-tuning, inference, HPC, simulation, rendering, and any workload that needs high-performance A100 GPUs.
Should I choose one GPU or several?
1 GPU suits experimentation, small-scale fine-tuning, and inference. 2, 4, 8, or 16 GPUs suit training, high-load inference, and large models.
Is the HGX A100 suitable for distributed training?
Yes. The HGX A100 suits distributed training, fine-tuning large models, high-load inference, and any workload that needs multiple GPUs.
When should I choose the HGX A100 over the A100 PCIe?
When you need higher GPU density, better scaling, and consistent performance for large-scale training or HPC.
Does HiTechCloud help optimize an A100 environment?
Yes. HiTechCloud advises on drivers, CUDA, frameworks, storage, containers, and the runtime configuration that fits your workload.
What billing cycles are available?
Available on 1-month, 3-month, 6-month, 12-month, and long-term cycles.
Need configuration advice for NVIDIA HGX A100 for AI workload?
HiTechCloud helps you select the GPU count, VRAM, CPU cores, storage, runtime environment, and an operating plan that fits your budget.




























































































































