GPU NVIDIA

L40

Architecture · 48GB · PCIe

VRAM
48GB
FP16
-
TDP
-
Hardware Price
-
Cloud from
$0.950/hr
3 providers
Cheapest at TensorDock →

Quick Insights

Performance/Dollar
N/A
FP16 performance per $1000
VRAM/Dollar
N/A
VRAM per $1000
vs null Average
N/A
FP16 TFLOPS comparison
Cloud Availability
3 providers
from $0.950/hr

Specifications

VRAM 48GB
Memory Bandwidth -
FP16 TFLOPS -
Tensor TFLOPS -
FP32 TFLOPS -
TDP -
Form Factor -
Architecture -
NVLink No
Release Date -

Cloud GPU Pricing

Rent L40 from 3 cloud providers. Prices shown per GPU per hour.

Provider Type Instance GPUs On-Demand Per GPU Spot Availability
TensorDock marketplace tensordock-l40 1x $0.950/hr $0.950/hr Cheapest - -
RunPod gpu-cloud NVIDIA L40 1x $0.990/hr $0.990/hr $0.500/hr (-49%) -
CoreWeave gpu-cloud coreweave-l40 1x $1.25/hr $1.25/hr - -
Best Spot Deal: RunPod offers spot pricing at $0.500/hr (49% off on-demand).

L40 vs Alternatives

Compare L40 with similar GPUs from other brands.

GPU VRAM FP16 TFLOPS Bandwidth Hardware Price Cloud Price
L40 Current 48GB - - - - -
AMD Instinct MI210 AMD 64GB (+33%) 181.0 1.6 TB/s - - Compare
AMD Instinct MI100 AMD 32GB (-33%) 184.6 1.2 TB/s - - Compare
AMD Radeon RX 7900 XTX AMD 24GB (-50%) 122.0 960 GB/s - - Compare

Best Use Cases

No specific use case recommendations for L40 yet.

Browse All Use Cases →

Compare L40

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Frequently Asked Questions about L40

Pricing for L40 varies. Check our cloud pricing section for rental options starting at $0.950/hr.

Yes, the L40 with 48GB VRAM is suitable for many AI/ML workloads. For large language models, you may need multiple GPUs or consider higher-VRAM options like A100 or H100.

Consider buying for long-term, heavy usage (>4 hrs/day). Rent from cloud providers for short-term projects, experimentation, or when you need to scale quickly.

With 48GB VRAM and - FP16 TFLOPS, the L40 can run: Large language models (7B-13B), Stable Diffusion XL, video AI, and professional 3D rendering.

The L40 offers 48GB VRAM and - FP16 performance at its price point. Compare with similar GPUs using our comparison tool above. Key factors: VRAM for model size, TFLOPS for speed, and price for budget.