NVIDIA DGX B200 for AI factories and large-scale training and inference
Deploy Blackwell GPU infrastructure with NVIDIA® B200 SXM6, AMD Turin CPUs and up to 1,536 GB of VRAM, with a DGX B200 pre-release option.
GPU Cloud for next-generation AI models
NVIDIA DGX B200 is designed for AI workloads that need large VRAM, high-speed GPU interconnect and consistent compute capacity for training, fine-tuning or inference on large models.
This page lists every DGX B200 configuration with its specifications and billing terms.
NVIDIA DGX B200
Blackwell GPU infrastructure for AI training, fine-tuning, inference and HPC workloads needing large VRAM.
B200 SXM6
B200 SXM6 options at 180 GB/192 GB, scaling from a single GPU to a full 8-GPU node.
AMD Turin CPU
High-core-count AMD Turin CPUs accelerate data pipelines, preprocessing and parallel compute workloads.
High-speed NVLink
Supports NVLink/P2P at 1.8 TB/s or 900 GB/s depending on configuration, for multi-GPU workloads.
Choose a B200 GPU configuration by AI workload
| Service plans | Price/month | GPU | CPU | RAM | VRAM | NVLink/P2P | Actions |
|---|---|---|---|---|---|---|---|
| 1x NVIDIA B200 | 257,093,403 VND/month | 1x NVIDIA B200 | 31 Core CPU | 184 GiB | 192 GiB VRAM | DGX B200 pre-release | Sắp có |
| 4x NVIDIA B200 | 1,028,373,615 VND/month | 4x NVIDIA B200 | 124 Core CPU | 736 GiB | 4x 192 GiB VRAM | DGX B200 pre-release | Sắp có |
| 8x NVIDIA B200 | 1,825,887,847 VND/month | 8x NVIDIA B200 | 384 Core CPU | 2 TiB | 8x 192 GiB VRAM | DGX B200 pre-release | Sắp có |
| 1B200.30V | 159,398,280 VND/month | 1 GPU | AMD Turin CPU | 360 GB RAM | 192 GB VRAM | NVLink Supported | Sign up |
| 2B200.60V | 312,770,160 VND/month | 2 GPU | AMD Turin CPU | 720 GB RAM | 384 GB VRAM | NVLink 900 GB/s | Sign up |
| 4B200.120V | 613,487,520 VND/month | 4 GPU | AMD Turin CPU | 1440 GB RAM | 768 GB VRAM | NVLink 1.8 TB/s | Sign up |
| 8B200.240V | 1,202,869,440 VND/month | 8 GPU | AMD Turin CPU | 2900 GB RAM | 1536 GB VRAM | NVLink 1.8 TB/s | Sign up |
| Service plans | GPU | CPU | Core | RAM | VRAM | NVLink/P2P | Disk | Notes | Price/month | Actions |
|---|---|---|---|---|---|---|---|---|---|---|
| 1x NVIDIA B200 | 1x NVIDIA B200 | 31 Core CPU | 184 GiB | 192 GiB VRAM | DGX B200 pre-release | 250 GiB | Pre-release • Cannot be stopped/restarted • Deploy up to 7m30s | 257,093,403 VND/month | Sắp có | |
| 4x NVIDIA B200 | 4x NVIDIA B200 | 124 Core CPU | 736 GiB | 4x 192 GiB VRAM | DGX B200 pre-release | 1000 GiB | Pre-release • Cannot be stopped/restarted • Deploy up to 7m30s | 1,028,373,615 VND/month | Sắp có | |
| 8x NVIDIA B200 | 8x NVIDIA B200 | 384 Core CPU | 2 TiB | 8x 192 GiB VRAM | DGX B200 pre-release | 16 TiB 899 GiB | Pre-release • Cannot be stopped/restarted • Deploy up to 7m30s | 1,825,887,847 VND/month | Sắp có | |
| 1B200.30V | 1 GPU | AMD Turin CPU | 31 Core | 360 GB RAM | 192 GB VRAM | NVLink Supported | 6000 GB | Visible product • Cloud GPU ready | 159,398,280 VND/month | Sign up |
| 2B200.60V | 2 GPU | AMD Turin CPU | 52 Core | 720 GB RAM | 384 GB VRAM | NVLink 900 GB/s | 6000 GB | Visible product • Multi-GPU ready | 312,770,160 VND/month | Sign up |
| 4B200.120V | 4 GPU | AMD Turin CPU | 124 Core | 1440 GB RAM | 768 GB VRAM | NVLink 1.8 TB/s | 11000 GB | Visible product • Training scale | 613,487,520 VND/month | Sign up |
| 8B200.240V | 8 GPU | AMD Turin CPU | 208 Core | 2900 GB RAM | 1536 GB VRAM | NVLink 1.8 TB/s | 22528 GB | Visible product • Full-node AI compute | 1,202,869,440 VND/month | Sign up |
Applies to all plans
- NVIDIA DGX B200
- NVLink
- Dedicated
Optimized for GenAI, HPC, and enterprise AI platforms
B200 configurations scale GPU capacity across every stage: experimentation, fine-tuning, training, and production inference.
Large model training
Suited to LLMs, computer vision, multimodal AI and models with large VRAM requirements.
Inference production
Speeds up deployment of chatbots, RAG, embeddings, recommendation and AI applications in production.
Flexible configuration
1x, 2x, 4x and 8x GPU options let you scale resources as your project develops.
Large storage for datasets
Plans offer 6,000 GB to 22,528 GB of storage capacity, suited to datasets, checkpoints, and model artifacts.
Multiple billing cycles
Available on 1, 3, 6, 12, 24, 36, 48, and 60-month terms.
GPU deployment consultation
HiTechCloud helps you choose the configuration, drivers, frameworks and runtime, and run the AI workload.
Scenarios suited to the NVIDIA DGX B200
Use DGX B200 for fine-tuning, instruction tuning, model evaluation and enterprise GenAI pipelines.
Serves AI models at low latency, with large VRAM and multi-GPU scaling.
Accelerate simulation, data analysis, rendering, scientific research, and GPU-intensive workloads.
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 the NVIDIA DGX B200 at HiTechCloud.
Which workloads is the NVIDIA DGX B200 suited to?
Suited to AI training, fine-tuning, inference, HPC, simulation, data science, and workloads that need large VRAM.
Which businesses is DGX B200 suited for?
Suited to businesses building an AI factory, training large models, running inference at scale, or needing a powerful GPU cloud platform.
When should you choose DGX B200?
Choose it when the workload needs current-generation performance, large VRAM, multiple GPUs, and room to scale for enterprise training or inference.
Is the DGX B200 suitable for LLM fine-tuning?
Yes. The DGX B200 suits fine-tuning, pre-training, RAG pipelines, model serving and large-scale AI data processing.
Does HiTechCloud support deploying DGX B200 clusters?
Yes. HiTechCloud advises on GPU count, storage, network, runtime, framework and an operating approach based on project requirements.
What should you prepare before renting a DGX B200?
Establish your model size, dataset, batch size, framework, run time and security requirements to choose the right configuration.
What billing cycles are available?
Plans are available on 1, 3, 6, 12, 24, 36, 48, and 60-month terms.
Need consultation on NVIDIA DGX B200 for your AI workload?
HiTechCloud helps you select the GPU count, VRAM, CPU cores, storage, runtime, and a GPU cloud operating model that fits.




























































































































