The NVIDIA L40 GPU is built on the Ada Lovelace architecture for AI, neural graphics, rendering and high-performance visualisation. It offers 48 GB GDDR6 ECC memory with 864 GB/s bandwidth and advanced RT Cores for real-time ray tracing. With triple NVENC/ NVDEC support, the NVIDIA L40 accelerates AI training, inferencing and 3D rendering.
Now, let’s look at how the NVIDIA L40 is deployed on Hyperstack and what you get.
If you plan to run NVIDIA L40 GPUs on Hyperstack, you’re not just tapping into compute, you get a production-ready cloud environment. And here’s how:
Rendering complex 3D scenes or immersive simulations can be time-consuming. The L40 combines CUDA, Tensor and RT Cores to deliver fast neural graphics processing, making tasks like 3D rendering, simulation and visualisation significantly quicker and smoother.
Training large AI models or running real-time inference often requires immense compute power. With 568 fourth-gen Tensor Cores, the L40 handles training and inference efficiently, so you can process complex generative or deep learning models with minimal slowdowns.
Running multiple users or containerised applications can lead to performance bottlenecks. The L40 is optimised for GPU-accelerated virtualisation, so you can ost multi-tenant environments and accelerate VDI or 3D workloads without compromising speed.
AI simulations and rendering workloads generate large amounts of temporary data. Each L40 VM includes 725 GB of ephemeral storage, providing high-speed access for active processing tasks without creating storage bottlenecks.
Experimenting with AI models or rendering pipelines can involve trial and error. Snapshot support lets you capture the entire VM state, making it easy to rollback, recover, or test multiple configurations.
And with the persistent boot volume, your OS, tools and configurations are always saved, so you can resume work instantly without reconfiguration.
GPU compute costs can add up when your NVIDIA L40 VM is not actively in use. With the hibernation feature, you can pause your L40 VM during downtime and resume later without losing your environment. This saves costs while maintaining your project’s continuity.
Hyperstack offers flexible GPU pricing for the L40 GPU to suit various workloads and budgets:
Reserving an L40 GPU on Hyperstack ensures you never face capacity shortages during critical workloads while letting you lock in the same GPU at reduced rates, with real-time GPU usage tracking.
Here's how you can reserve the NVIDIA L40 on Hyperstack:
The NVIDIA L40 GPU on Hyperstack empowers you to accelerate demanding workloads with the best price per performance. No matter if you’re building immersive simulations, optimising generative AI models or handling enterprise-scale workloads, L40 VMs on Hyperstack give you a real cloud environment to innovate faster.
If you’re new to Hyperstack, sign up today to get started and explore our useful resources below to launch your first GPU-powered project.
Here are some helpful resources that will help you deploy your NVIDIA L40 on Hyperstack:
The NVIDIA L40 is ideal for AI training, neural graphics, rendering and visualisation workloads.
Yes, the advanced RT Cores offer up to 2× ray tracing performance.
Each NVIDIA L40 VM on Hyperstack includes 725 GB of ephemeral NVMe storage and a persistent boot volume for the OS.
The L40 is ideal for 3D artists, AI researchers, simulation engineers and enterprises needing powerful visualisation and AI acceleration in a cloud environment without managing hardware.
No, Spot VMs don’t support hibernation, snapshots, networking, or persistent boot volumes and all storage is ephemeral.
The cost of NVIDIA L40 on Hyperstack is: