Train or run large-language models and other generative AI tasks with strong, steady performance.
Rent NVIDIA L40S Cloud GPUs for AI & 3D Workloads
Access NVIDIA L40S GPUs on-demand to power AI models, 3D visuals, and simulation with 48 GB GDDR6 and 864 GB/s bandwidth.
- Instant Deployment
- 60% Cheaper than AWS
- Multi-Tier Security
- Bare-Metal Performance
Start With ₹30,000 Free Credits
- Enterprise-Grade Security
- Instant Cluster Launch
- 1:1 Expert Guidance
NVIDIA L40S GPU Specifications
Why CTOs and IT Leaders Choose AceCloud for NVIDIA L40S?
Powered by Ada Lovelace, NVIDIA L40S delivers high-performance efficiency for complex and demanding workloads.
Accelerate training and improve memory efficiency by optimizing models using the powerful Adaptive Transformer Engine.
Experience higher FPS and sharper visuals with DLSS 3, using AI to reduce latency and enhance rendering.
Seamlessly manage AI models, simulations and more—L40S ensures consistent, high-level performance across workloads.
Why NVIDIA L40S Leads in AI Inference, Rendering & Visual Compute
Up to 2× faster inference and 1.5× better generative AI performance.
Where NVIDIA L40S Delivers Real Results
Great for AI training, graphics work, and demanding media workflows.
Serve NLP, vision, and multimodal models quickly and reliably across production workloads.
Handles 3D work, ray-traced rendering, CAD projects, and virtual production pipelines smoothly.
Ideal for teams running AI generation alongside graphics, animation, or simulation tasks.
Encode, decode, edit, and stream video content with fast, efficient media acceleration.
Provide remote designers, engineers, or creators with GPU-powered workstations that feel responsive.
One GPU for many jobs training, inference, rendering, or analytics all handled reliably.
Have a specific workflow or project? We’ll help you build an L40S-powered solution that fits your needs.
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“We moved a big chunk of our ML training to AceCloud’s A30 GPUs and immediately saw the difference. Training cycles dropped dramatically, and our team stopped dealing with unpredictable slowdowns. The support experience has been just as impressive.”
60% faster training speeds
“We have thousands of students using our platform every day, so we need everything to run smoothly. After moving to AceCloud’s L40S machines, our system has stayed stable even during our busiest hours. Their support team checks in early and fixes things before they turn into real problems.”
99.99*% uptime during peak hours
“We work on tight client deadlines, so slow environment setup used to hold us back. After switching to AceCloud’s H200 GPUs, we went from waiting hours to getting new environments ready in minutes. It’s made our project delivery much smoother.”
Provisioning time reduced 8×
Deploy L40S GPUs instantly cut render and AI time by up to 50%.
Frequently Asked Questions
NVIDIA L40S is a data center GPU based on the Ada Lovelace architecture with 48 GB GDDR6 ECC memory and about 864 GB/s memory bandwidth. It is designed as a general-purpose accelerator for AI inference, generative AI, 3D graphics and video workloads.
L40S works well for generative AI and LLM inference, image and video generation, 3D rendering and CAD, Omniverse and digital twins, video streaming and transcoding, and GPU-backed virtual workstations. It fits teams that want one GPU for both AI and graphics/media in production.
On AceCloud, each L40S gives you 48 GB GDDR6 ECC memory, 18,176 CUDA cores and around 864 GB/s memory bandwidth in a dual-slot PCIe Gen4 x16 form factor with up to 350 W TDP.
L40S is typically chosen when you want strong inference and graphics/media on the same GPU. A100 and H100 remain better suited for very large-scale training and tightly coupled multi-GPU clusters, while L40S balances AI inference, visualization and media acceleration at a lower TDP.
With AceCloud you do not buy the GPU; you launch L40S instances from the console or API, run your workloads and pay based on the configuration and time used. You can scale L40S capacity up or down as projects and traffic change, instead of being tied to fixed on-prem hardware.
Yes. L40S instances can be used for short proof-of-concepts, experiments, rendering bursts or seasonal traffic. You turn instances on only when needed and shut them down when you are done, so you are not paying for idle GPUs between projects.
AceCloud offers multiple configuration options for NVIDIA L40S deployments, and costs vary based on factors such as GPU configuration, vCPU and RAM allocations, storage choices, contract terms, and selected regions. Because pricing can change over time and may include promotional or tiered plans, it’s best to refer directly to AceCloud’s official pricing page for the most accurate and up-to-date information.
New customers can claim free credits (for example, up to ₹20,000 in India or $200 globally for a limited period) to benchmark L40S for AI, rendering or media workloads before moving to longer-term plans.
No. L40S is a PCIe Gen4 x16 GPU and does not support NVIDIA NVLink or Multi-Instance GPU (MIG). You share and schedule it using virtualization (vGPU), VMs and containers rather than hardware partitioning.
Yes. L40S is supported by NVIDIA virtual GPU (vGPU) and RTX Virtual Workstation software, so you can run GPU-backed virtual desktops, creative workstations and multi-tenant environments on the same hardware.
You can use common AI and media stacks such as PyTorch, TensorFlow, JAX, CUDA, cuDNN, TensorRT, Triton Inference Server, FFmpeg with NVENC/NVDEC, plus Docker and Kubernetes for orchestration. AceCloud provides ready images or you can bring your own containers.
L40S instances can be launched in minutes through the AceCloud console or via API, so you can start running AI or 3D workloads without tickets or long provisioning delays.
Yes. L40S runs in AceCloud’s secure data centers with network isolation, access controls, encrypted storage options and 24/7 support, and is already used for production AI, analytics and graphics workloads by startups and enterprises.