NVIDIA L40 for AI, rendering and visual computing
NVIDIA L40 GPU infrastructure with 48 GB of VRAM, in configurations from 1 to 8 GPUs, for rendering, AI inference, simulation and graphics-intensive workloads.
L40 Cloud GPU for graphics-intensive and AI workloads
The NVIDIA L40 is a strong choice for rendering, visual computing, simulation and AI inference where large VRAM, dedicated server resources and cost efficiency matter.
NVIDIA L40 GPU
The NVIDIA L40 for AI inference, rendering, visual computing and professional graphics workloads.
48 GB VRAM/GPU
Each GPU has 48 GB of VRAM, suited to AI models, large render scenes and graphics data pipelines.
Scale to 8 GPUs
Choose configurations from 1 to 8 GPUs, with CPU, RAM and disk scaling to the workload.
Dedicated servers
L40 server plans, suited to steady workloads that need dedicated resources.
Choose an L40 configuration by rendering and AI scale
| Service plans | Price/month | GPU | CPU | Core | RAM | VRAM | Actions |
|---|---|---|---|---|---|---|---|
| L40 x1 | 19,440,000 VND/month | 1 GPU | 28 vCPU | 28 vCPU | 58 GB RAM | 48 GB VRAM | Sign up |
| L40 x2 | 38,880,000 VND/month | 2 GPU | 50 vCPU | 50 vCPU | 384 GB RAM | 96 GB VRAM | Sign up |
| L40 x4 | 108,086,400 VND/month | 4 GPU | 126 vCPU | 126 vCPU | 384 GB RAM | 192 GB VRAM | Sign up |
| L40 x8 | 155,520,000 VND/month | 8 GPU | 252 vCPU | 252 vCPU | 464 GB RAM | 384 GB VRAM | Sign up |
| Service plans | GPU | CPU | Core | RAM | VRAM | P2P | Disk | Type | Price/month | Actions |
|---|---|---|---|---|---|---|---|---|---|---|
| L40 x1 | 1 GPU | 28 vCPU | 28 vCPU | 58 GB RAM | 48 GB VRAM | P2P: No | 825 GB Up to | Server | 19,440,000 VND/month | Sign up |
| L40 x2 | 2 GPU | 50 vCPU | 50 vCPU | 384 GB RAM | 96 GB VRAM | P2P: No | 1250 GB Up to | Server | 38,880,000 VND/month | Sign up |
| L40 x4 | 4 GPU | 126 vCPU | 126 vCPU | 384 GB RAM | 192 GB VRAM | P2P: No | 3300 GB Up to | Server | 108,086,400 VND/month | Sign up |
| L40 x8 | 8 GPU | 252 vCPU | 252 vCPU | 464 GB RAM | 384 GB VRAM | P2P: No | 6600 GB Up to | Server | 155,520,000 VND/month | Sign up |
Applies to all plans
- NVIDIA L40
- Server
Optimized for rendering, AI inference and visual computing
The NVIDIA L40 comes in several GPU server configurations, scaling with rendering, graphics and AI workloads.
Optimized for visual computing
The NVIDIA L40 suits rendering, 3D graphics, simulation, video processing and AI inference.
A range of configurations
Choose 1, 2, 4 or 8 GPUs based on parallel processing needs and deployment budget.
Large VRAM
Up to 384 GB of total VRAM in the 8-GPU configuration, suited to large data and complex scenes.
Powerful CPU/RAM resources
Configurations reach 252 vCPUs and 464 GB of RAM to support demanding GPU pipelines.
Flexible billing cycles
Billing cycles from 1 month to 60 months.
Deployment support
HiTechCloud advises on drivers, CUDA, AI and rendering frameworks, and the right configuration.
Deployment scenarios suited to the NVIDIA L40
Accelerate render farms, VFX, 3D visualization, digital twins and professional graphics workflows.
Run inference, computer vision, embeddings, fine-tuning and production AI applications.
Video processing, simulation, synthetic data and high-performance image compute 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 an NVIDIA L40 configuration at HiTechCloud.
Which workloads is the NVIDIA L40 suited for?
Suited to rendering, 3D graphics, visual computing, AI inference, computer vision, simulation and video processing.
When should you choose L40 x4 or x8?
Choose a multi-GPU configuration when you need parallel rendering, large batch processing, heavy datasets or an AI workload with high total VRAM demands.
Is the L40 suitable for professional rendering?
Yes. The L40 suits 3D rendering, visualization, simulation, digital twin and graphics workflows that need a powerful GPU.
Can the L40 be used for AI inference?
Yes. The L40 suits inference, computer vision, video processing and AI workloads that need consistent performance.
L40 or L40S: which to choose?
The L40S is the better fit for AI inference and fine-tuning; the L40 remains strong for rendering, visualization and graphics workloads.
What billing cycles are available?
Plans are available on 1-month, 3-month, 6-month, 12-month, and long-term cycles.
Need consultation on NVIDIA L40 configuration for your workload?
HiTechCloud helps you choose the GPU count, CPU, RAM, storage, drivers and frameworks for your deployment.




























































































































