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.
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.
The NVIDIA L40 for AI inference, rendering, visual computing and professional graphics workloads.
Each GPU has 48 GB of VRAM, suited to AI models, large render scenes and graphics data pipelines.
Choose configurations from 1 to 8 GPUs, with CPU, RAM and disk scaling to the workload.
L40 server plans, suited to steady workloads that need dedicated resources.
NVIDIA L40
NVIDIA L40
NVIDIA L40
NVIDIA L40
The NVIDIA L40 comes in several GPU server configurations, scaling with rendering, graphics and AI workloads.
The NVIDIA L40 suits rendering, 3D graphics, simulation, video processing and AI inference.
Choose 1, 2, 4 or 8 GPUs based on parallel processing needs and deployment budget.
Up to 384 GB of total VRAM in the 8-GPU configuration, suited to large data and complex scenes.
Configurations reach 252 vCPUs and 464 GB of RAM to support demanding GPU pipelines.
Billing cycles from 1 month to 60 months.
HiTechCloud advises on drivers, CUDA, AI and rendering frameworks, and the right configuration.
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.
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.
Scale GPU resources automatically from a handful to thousands of GPUs, with forecasting and provisioning ahead of demand.
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, on a GPU cloud platform built for every AI and high-performance workload.
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.
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 L40 configuration at HiTechCloud.
Suited to rendering, 3D graphics, visual computing, AI inference, computer vision, simulation and video processing.
Choose a multi-GPU configuration when you need parallel rendering, large batch processing, heavy datasets or an AI workload with high total VRAM demands.
Yes. The L40 suits 3D rendering, visualization, simulation, digital twin and graphics workflows that need a powerful GPU.
Yes. The L40 suits inference, computer vision, video processing and AI workloads that need consistent performance.
The L40S is the better fit for AI inference and fine-tuning; the L40 remains strong for rendering, visualization and graphics workloads.
Plans are available on 1-month, 3-month, 6-month, 12-month, and long-term cycles.
HiTechCloud helps you choose the GPU count, CPU, RAM, storage, drivers and frameworks for your deployment.
Start deploying quickly with HiTechCloud
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