The NVIDIA L40 GPU is designed for high-performance AI inference, rendering, and simulation workloads. Built on the Ada Lovelace architecture, it delivers strong performance for enterprise users, but at a premium price.
In this guide, we break down NVIDIA L40 pricing across providers, compare it to alternatives, and highlight more cost-effective options.
NVIDIA L40 Hourly Pricing
The NVIDIA L40 price starts at $0.48/hr, though pricing can vary depending on region, availability, and instance configuration.
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Pricing is still stabilizing as the L40 becomes more widely available, but it consistently sits in the mid-to-high range for inference-focused GPUs.
NVIDIA L40 GPU Specs
The L40 is built for enterprise inference and graphics workloads, combining large VRAM capacity with strong tensor performance.
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NVIDIA L40 VRAM
The 48GB of GDDR6 VRAM makes the L40 suitable for:
<ul><li>Large inference models</li><li>Batch processing</li><li>Rendering and simulation workloads</li></ul>
However, it lacks the ultra-high bandwidth of HBM memory found in GPUs like the A100, which can limit training performance at scale.
NVIDIA L40 NVLink support
The NVIDIA L40 does not support NVLink, which means:
<ul><li>No high-speed GPU-to-GPU interconnect</li><li>Limited multi-GPU scaling efficiency</li><li>Less suitable for large distributed training jobs</li></ul>
This is a key limitation compared to data center GPUs like the A100.
L40 comparison
NVIDIA L40 vs A6000
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The A6000 offers much better price-performance for most users. Unless you specifically need Ada features, it's the smarter choice.
Deploy an A6000 for $0.27/hr on Thunder Compute.
NVIDIA L40 vs A100
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The A100 is significantly more powerful for training and large models. If you need scalability, it's worth the higher cost.
Deploy an A100 for $0.78/hr on Thunder Compute.
NVIDIA L40 vs A40
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The L40 is a newer and faster upgrade, but the A40 may still offer better value depending on pricing.
Read more about the NVIDIA A40.
When should you use the L40?
The NVIDIA L40 is best suited for:
<ul><li>AI inference at scale</li><li>3D rendering and simulation</li><li>Enterprise workloads needing modern architecture</li></ul>
However, it may not be the best option if:
<ul><li>You need multi-GPU scaling: it doesn't support NVLink.</li><li>You're training large models: the A100 is better.</li><li>You want maximum value: the A6000 is cheaper.</li></ul>
Final thoughts
The NVIDIA L40 is a capable GPU, but its pricing puts it in an awkward middle ground. For many users, it's either:
<ul><li><strong>Too expensive</strong> compared to the A6000.</li><li><strong>Not powerful enough</strong> compared to the A100.</li></ul>
That's why choosing the right GPU depends heavily on your workload.
FAQ
What is the starting price for an NVIDIA L40 GPU?
The NVIDIA L40 price starts at $0.48/hr on providers like TensorDock, though costs can scale up to $3.51/hr depending on the cloud provider and instance configuration.
Does the NVIDIA L40 support NVLink?
No, the NVIDIA L40 does not support NVLink. This lack of a high-speed GPU-to-GPU interconnect makes it less suitable for large distributed training jobs compared to GPUs like the A100.
How much VRAM does the NVIDIA L40 have?
The NVIDIA L40 features 48GB of GDDR6 VRAM, which is ideal for large inference models, batch processing, and 3D rendering workloads.
How does the L40 compare to the A6000?
While the L40 uses the newer Ada Lovelace architecture, the A6000 (Ampere) often provides better price-performance, starting at approximately $0.27/hr and offering NVLink support.
What are the best use cases for the NVIDIA L40?
The L40 is best suited for AI inference at scale, enterprise-grade 3D rendering, and simulation workloads that benefit from the Ada Lovelace architecture.