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High-performance GPU infrastructure with NVIDIA® B300 SXM6 262 GB, AMD EPYC Turin CPUs, up to 2,304 GB of VRAM and 1.8 TB/s NVLink/peer-to-peer interconnect for large-scale AI workloads.
The NVIDIA® B300 SXM6 is built for workloads that need GPU compute power, large VRAM and high-speed multi-GPU interconnect. Configurations from 1 to 8 GPUs let a business scale to match demand.
The available packages are 1B300.30V, 2B300.60V, 4B300.120V and 8B300.240V, with AMD EPYC Turin CPUs, large memory, 6,000 GB of disk and a full range of billing cycles.
Current-generation GPUs for AI training, inference, HPC, simulation and large-scale data processing with very large VRAM.
AMD EPYC Turin CPUs with high core counts help balance AI pipelines, preprocessing, data loaders and parallel compute workloads.
From 1 to 8 GPUs and 288 GB to 2,304 GB of VRAM for large models, large batches and multi-GPU workloads.
High-speed GPU interconnect enables fast GPU-to-GPU data exchange for distributed training and high-performance inference.
| Service plans | Price/month | GPU | CPU | Core | RAM | VRAM | Actions |
|---|---|---|---|---|---|---|---|
| 1B300.30V | 198,569,880 VND/month | 1 GPU | AMD EPYC Turin | 30 Core | 275 GB RAM | 288 GB VRAM | Sign up |
| 2B300.60V | 347,723,280 VND/month | 2 GPU | AMD EPYC Turin | 60 Core | 550 GB RAM | 576 GB VRAM | Sign up |
| 4B300.120V | 646,030,080 VND/month | 4 GPU | AMD EPYC Turin | 120 Core | 1100 GB RAM | 1152 GB VRAM | Sign up |
| 8B300.240V | 1,242,643,680 VND/month | 8 GPU | AMD EPYC Turin | 240 Core | 2200 GB RAM | 2304 GB VRAM | Sign up |
| Service plans | GPU | CPU | Core | RAM | VRAM | NVLink/P2P | Disk | Price/month | Actions |
|---|---|---|---|---|---|---|---|---|---|
| 1B300.30V | 1 GPU | AMD EPYC Turin | 30 Core | 275 GB RAM | 288 GB VRAM | NVLink 1.8 TB/s | 6000 GB | 198,569,880 VND/month | Sign up |
| 2B300.60V | 2 GPU | AMD EPYC Turin | 60 Core | 550 GB RAM | 576 GB VRAM | NVLink 1.8 TB/s | 6000 GB | 347,723,280 VND/month | Sign up |
| 4B300.120V | 4 GPU | AMD EPYC Turin | 120 Core | 1100 GB RAM | 1152 GB VRAM | P2P 1.8 TB/s | 6000 GB | 646,030,080 VND/month | Sign up |
| 8B300.240V | 8 GPU | AMD EPYC Turin | 240 Core | 2200 GB RAM | 2304 GB VRAM | P2P 1.8 TB/s | 6000 GB | 1,242,643,680 VND/month | Sign up |
NVIDIA® B300 SXM6 scales from a single GPU to a multi-GPU node, covering each stage of AI product development.
Suited to LLM training, computer vision, recommendation, speech AI and multimodal models that need large GPU memory.
Accelerate AI model serving for production applications, chatbots, embeddings, RAG and enterprise AI systems.
Handles scientific computing, engineering simulation, data analysis, and high-performance rendering workloads.
A choice of 1, 2, 4 or 8 GPUs lets you scale with each stage of model development and your compute needs.
Every plan includes 6,000 GB of disk, suited to storing datasets, checkpoints, model artifacts and AI development environments.
HiTechCloud advises on configuration selection, runtime environment, drivers, frameworks and running GPU workloads.
B300 SXM6 clusters for pre-training, fine-tuning, alignment, and evaluation of language or multimodal models.
Run inference for chatbots, image analysis, speech, recommendation and internal AI platforms.
Accelerate research, simulation, scientific computing, rendering and large-volume data processing.
Powerful capacity, optimized to accelerate AI/ML and high-performance workloads at any scale.
Training, inference, or fine-tuning - HiTechCloud offers a range of GPUs to match your needs, with transparent pricing and on-demand deployment environments.
HiTechCloud GPU instances combine NVLink/PCIe, InfiniBand (RDMA), and RAIL topology to optimize AI/HPC performance.
A network and GPU fabric designed so AI workloads scale reliably, easing bandwidth bottlenecks and holding performance at scale.
High-speed GPU-to-GPU connectivity within and between nodes, reducing bottlenecks during model training.
Low-latency connectivity optimized for distributed training and reduced processing load on the host.
A parallel network architecture delivering higher bandwidth, redundancy, and consistent performance at any scale.
From a single GPU to large clusters, HiTechCloud provisions resources ahead of demand and gets the most out of every instance.
Automatically scale GPU resources from small scale to thousands of GPUs, with forecasting and Provisioning capability before you need it.
Access over SSH, TCP, and HTTP with built-in protection layers that keep enterprise data safe and access fully controlled.
Partition a single GPU into multiple independent instances to run AI workloads in parallel, improving utilization and lowering infrastructure cost.
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.
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.
A complete management platform for deploying and operating AI agents securely at scale on enterprise-grade infrastructure.
Explore AgentBaseA unified platform for training, fine-tuning, and deploying AI models at any scale.
Explore AI PlatformSupports fast search, real-time analytics, log and large-scale event data, and vector databases for RAG.
Explore Vector DatabaseManaged Kubernetes for container orchestration, AI services, and GPU cloud workloads.
Explore KubernetesDeploy systems and applications closer to your users, reducing latency and meeting local regulatory requirements.
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Large enterprises and fast-growing startups choose HiTechCloud for secure, high-performance AI cloud solutions that let them innovate and scale.
The HiTechCloud team advises on GPU architecture, networking, security, and an operating model matched to your real workloads.
Quick facts before choosing an NVIDIA® B300 SXM6 configuration at HiTechCloud.
Suited to AI training, fine-tuning, inference, HPC, simulation, rendering, large-scale data processing and workloads that need large VRAM.
1 GPU suits experimentation or small workloads. 2, 4 and 8 GPUs suit large models, distributed training, high-load inference or pipelines that need to scale.
Every plan uses AMD EPYC Turin CPUs, with core count scaling by GPU count.
Yes. The B300 SXM6 suits training, LLM fine-tuning, multi-GPU workloads, and AI pipelines that need high bandwidth and large VRAM capacity.
The 8-GPU configuration suits large models, distributed training, high-load inference, large batch processing and workloads that scale across a cluster.
HiTechCloud advises on CUDA, drivers, container runtimes, PyTorch, TensorFlow, storage, and an operating model that fits your AI objectives.
Plans are available on 1, 3, 6, 12, 24, 36, 48, and 60-month terms.
HiTechCloud helps you choose the number of GPUs, VRAM, CPU cores, runtime environment and an operating roadmap that fits your budget.
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