NVIDIA L40S 48 GiB GPU infrastructure in configurations from 1 to 10 GPUs, suited to AI, visual computing, render farms, and large-data workloads.
The NVIDIA L40S suits workloads that balance AI inference, light training, 3D graphics, rendering, and large-scale data processing.
The L40S is optimized for AI inference, light training, 3D graphics and professional rendering.
Large VRAM capacity for LLM inference, computer vision, render farms and heavy graphics data.
Choose configurations from 1x to 10x NVIDIA L40S to match the actual workload.
Supports Flexible Storage or NVMe depending on the instance, for workloads that need fast storage.
NVIDIA L40S 48 GiB
NVIDIA L40S Plus
NVIDIA L40S 48 GiB
NVIDIA L40S 48 GiB
NVIDIA L40S Plus
NVIDIA L40S 48 GiB
NVIDIA L40S 48 GiB
NVIDIA L40S offers flexible options from single GPU to multi-GPU for workloads that need large VRAM and consistent performance.
The L40S is a strong choice for AI inference, visual computing, simulation and rendering.
Choose 1, 2, 4, 8 or 10 GPUs to scale resources as the workload grows.
The Plus and multi-GPU plans offer large memory for data pipelines and heavy workloads.
Instances are designed to stop and restart without data loss.
Billing cycles from 1 month to 60 months.
HiTechCloud advises on drivers, CUDA, AI frameworks, and the configuration that fits your workload.
Run language model inference, chatbots, embeddings and fine-tuning with large VRAM.
Accelerate rendering, simulation, visual effects, digital twins and professional graphics workloads.
Image processing, video analytics, synthetic data and computer vision training/inference pipelines.
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 L40S configuration at HiTechCloud.
Suited to AI inference, fine-tuning, computer vision, rendering, 3D graphics and visual computing.
Plus plans suit workloads needing more CPU/RAM or NVMe storage for heavy data pipelines.
Yes. The L40S suits fine-tuning mid-sized models, inference, computer vision and AI workflows that need high performance at controlled cost.
Yes. A multi-GPU or Plus configuration runs multiple inference, rendering or data processing tasks in parallel more efficiently.
Choose the L40S when the workload does not yet require H100-class power but still needs a data center GPU for inference, fine-tuning, and graphics.
Plans are available on 1-month, 3-month, 6-month, 12-month, and long-term cycles.
HiTechCloud helps you choose the number of GPUs, VRAM, CPU, RAM, storage, runtime and framework for your deployment.
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