NVIDIA L40 GPU: Specs, Pricing and How to Reserve Your GPU VM

What is NVIDIA L40?

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.

What are the Features of NVIDIA L40 

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:

Neural Graphics Acceleration

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.

Enhanced AI and Inferencing

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.

Virtualisation Ready

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.

Ephemeral NVMe Storage

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.

Snapshots and Bootable Volume

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.

Hibernation for Cost Savings

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.

NVIDIA L40 GPU Pricing on Hyperstack

Hyperstack offers flexible GPU pricing for the L40 GPU to suit various workloads and budgets:

1. On-Demand VMs: $1.00/hour
   Best for: Short-term tasks, rendering pipelines, and experimentation.
2. Reserved VMs: $0.70/hour
   Best for: Long-term projects and predictable AI or graphics workloads.
3. Spot VMs: $0.80/hour
   Best for: Interruption-tolerant jobs like non-critical rendering, batch processing or model evaluation. However, Spot VMs do not support hibernation, bootable volumes, snapshots or networking. Data is ephemeral and must be backed up externally. Learn the difference between on-demand and spot vm here.

How to Reserve Your NVIDIA L40 GPU

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.

Reservation Process for NVIDIA L40

Here's how you can reserve the NVIDIA L40 on Hyperstack: 

1. Visit the reservation page to reserve the NVIDIA L40.
2. Fill out the form with:
   
   
   • Company Name
   • Use Case (e.g., AI, rendering, simulation etc)
   • Number of GPUs Required (e.g., 8, 16, 32)
   • Duration of Reservation (e.g., 1 month, 3 months, 6 months)
     
     
3. Submit the request and our team will contact you to finalise and guarantee your reserved capacity.

Conclusion

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.

Ready to Get Started?

Here are some helpful resources that will help you deploy your NVIDIA L40 on Hyperstack:

• New to Hyperstack? Sign up Today to Get Started
• Check out the Hyperstack API Documentation 
• Explore the Quick Platform Tour
• Need help? Contact us anytime at support@hyperstack.cloud 

FAQs

What is the NVIDIA L40 GPU best for?

The NVIDIA L40 is ideal for AI training, neural graphics, rendering and visualisation workloads.

Does L40 support real-time ray tracing?

Yes, the advanced RT Cores offer up to 2× ray tracing performance.

How much storage do I get with NVIDIA L40?

Each NVIDIA L40 VM on Hyperstack includes 725 GB of ephemeral NVMe storage and a persistent boot volume for the OS.

Who should use the L40 GPU?

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.

Do L40 Spot VMs support hibernation or snapshots?

No, Spot VMs don’t support hibernation, snapshots, networking, or persistent boot volumes and all storage is ephemeral.

What is the cost of the NVIDIA L40?

The cost of NVIDIA L40 on Hyperstack is:

• On-Demand: $1.00/hour
• Reserved: $0.70/hour
• Spot: $0.80/hour