Specifications Compared
| Spec | L40 | QUADRO-P5000 |
|---|---|---|
| TDP | 300W | 180W |
| VRAM | 48 GB | 16 GB |
| CUDA Cores | 18,176 | 2,560 |
| Memory Type | GDDR6 | GDDR5X |
| Architecture | Ada Lovelace | Pascal |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 568 | |
| FP16 Performance | 90.5 TFLOPS | 8.9 TFLOPS |
| FP32 Performance | 90.5 TFLOPS | 8.9 TFLOPS |
| INT8 Performance | 724 TOPS | |
| Memory Bandwidth | 864 GB/s | 288 GB/s |
Performance Analysis
The L40 outperforms the Quadro P5000 by over 10 times in FP16 and FP32 performance at 90.5 TFLOPS versus 8.9 TFLOPS, enabling dramatically faster model training and inference times. For deep learning training, this compute advantage accelerates iterations on large datasets, while in inference scenarios, it supports higher throughput for real-time applications. The identical FP16 and FP32 rates on both GPUs indicate no precision-specific bottlenecks, but the L40's scale makes it viable for modern transformer models.
Memory capacity and bandwidth profoundly impact workload feasibility: the L40's 48 GB VRAM and 864 GB/s bandwidth allow batch sizes three times larger than the P5000's 16 GB and 288 GB/s limits. Larger batches reduce per-sample overhead in training, improving efficiency, and enable deployment of models exceeding 16 GB without offloading. In memory-bound tasks like Stable Diffusion, the L40 handles higher resolutions without swapping.
Power consumption differs at 300W TDP for the L40 versus 180W for the P5000, yet the L40 delivers over 10 times the performance per watt in FP32, underscoring architectural efficiency gains from Ada Lovelace over Pascal.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
L40
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA L40S 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Wolverhampton | $0.55/GPU/hr | Available | ||
 RunPod | NVIDIA L40 48GB VRAM | 48GB | 8 vCPU 94GB RAM | 🌍global | $0.82/GPU/hr | |||
RunPod | NVIDIA L40S 48GB VRAM | 48GB | 16 vCPU 94GB RAM | 🌍global | $0.86/GPU/hr | |||
 Massed Compute | NVIDIA L40 48GB VRAM | 48GB | 14 vCPU 72GB RAM 625GB Storage | Iowa | $0.86/GPU/hr | Available | ||
Massed Compute | 2×NVIDIA L40 48GB VRAM | 48GB | 26 vCPU 144GB RAM 1250GB Storage | Iowa | $0.86/GPU/hr $1.72/hr total (2×) | Available |
Quadro P5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.78/GPU/hr | Available |
When to Choose the L40
Select the L40 for AI and machine learning workloads requiring substantial VRAM and compute, such as training large language models or running high-resolution generative tasks. Its 48 GB GDDR6 and 90.5 TFLOPS FP32 performance support models that exceed the P5000's 16 GB capacity, enabling larger batch sizes via 864 GB/s bandwidth. Cloud pricing from $0.67 per hour makes it economical for demanding production environments.
The L40 excels in data center-scale inference and scientific simulations where speed trumps legacy support.
When to Choose the Quadro P5000
Choose the Quadro P5000 for legacy workstation applications or basic visualization tasks compatible with Pascal-era software. Its 16 GB GDDR5X suffices for CAD rendering or moderate simulations at 8.9 TFLOPS FP32, with lower 180W TDP suiting power-constrained cloud instances. At a flat $0.78 per hour average, it offers value for non-AI workloads avoiding modernization costs.
Use Cases
The L40's 48 GB VRAM and 90.5 TFLOPS FP16 handle large models and batches infeasible on the P5000's 16 GB and 8.9 TFLOPS.
High 864 GB/s bandwidth and 90.5 TFLOPS enable real-time serving of models exceeding the P5000's 288 GB/s and 16 GB limits.
L40 supports efficient fine-tuning of massive datasets with 90.5 TFLOPS FP32, far surpassing the P5000's 8.9 TFLOPS capacity.
48 GB VRAM allows high-resolution image generation at scale, leveraging 864 GB/s bandwidth unavailable on the P5000.
Superior 90.5 TFLOPS FP32 and 300W TDP efficiency accelerate simulations; P5000 suits only lightweight tasks.
Frequently Asked Questions
Which GPU has more VRAM, L40 or Quadro P5000?▾
The L40 provides 48 GB GDDR6 VRAM, three times the Quadro P5000's 16 GB GDDR5X. This enables larger models and batch sizes in AI workloads. Memory bandwidth follows suit at 864 GB/s for L40 versus 288 GB/s.
How do L40 and P5000 compare in FP32 performance?▾
The L40 delivers 90.5 TFLOPS FP32, over 10 times the P5000's 8.9 TFLOPS. This gap accelerates training and inference significantly. Both share equal FP16 rates relative to FP32.
What is the cloud pricing for L40 versus Quadro P5000?▾
L40 pricing starts at $0.67 per hour, averaging $0.89 across 14 offers. Quadro P5000 is $0.78 per hour average across 6 offers. L40 often provides better value for performance.
Is the L40 more power efficient than P5000?▾
Despite 300W TDP versus P5000's 180W, L40 offers over 10 times performance per watt at 90.5 TFLOPS FP32. Ada Lovelace architecture drives this efficiency. It suits high-throughput cloud tasks.
Can Quadro P5000 handle modern AI workloads?▾
Quadro P5000's 16 GB VRAM and 8.9 TFLOPS limit it to small models only. L40's 48 GB and 90.5 TFLOPS are required for contemporary LLMs. Use P5000 for legacy visualization.
What architectures power L40 and P5000?▾
L40 uses 2023 Ada Lovelace architecture; P5000 employs 2016 Pascal. This seven-year difference yields L40's superior 864 GB/s bandwidth over 288 GB/s. Both support PCIe form factors.
Which is cheaper to rent, the L40 or the Quadro P5000?▾
Cloud rental prices for both the L40 and Quadro P5000 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the L40 have compared to the Quadro P5000?▾
The L40 has 48 GB of GDDR6 memory. The Quadro P5000 has 16 GB of GDDR5X memory.
Can I find L40 and Quadro P5000 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the L40 and the Quadro P5000?▾
The L40 uses the Ada Lovelace architecture (2023) while the Quadro P5000 uses Pascal (2016). The L40 delivers 10.2x the FP16 throughput and 3.0x the memory bandwidth of the Quadro P5000.