Specifications Compared
| Spec | L40 | QUADRO-RTX-6000 |
|---|---|---|
| TDP | 300W | 260W |
| VRAM | 48 GB | 24 GB |
| CUDA Cores | 18,176 | 4,608 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ada Lovelace | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 568 | 576 |
| FP16 Performance | 90.5 TFLOPS | 16.3 TFLOPS |
| FP32 Performance | 90.5 TFLOPS | 16.3 TFLOPS |
| INT8 Performance | 724 TOPS | |
| Memory Bandwidth | 864 GB/s | 672 GB/s |
Performance Analysis
The L40's 90.5 TFLOPS in FP16 and FP32 dwarfs the Quadro RTX 6000's 16.3 TFLOPS, delivering over 5.5 times the throughput for machine learning training and inference. This gap accelerates model convergence in training and reduces latency in inference by handling more operations per second. Both GPUs maintain equal FP16 and FP32 rates, suiting mixed-precision workflows without penalty. The L40's 48 GB VRAM supports larger batch sizes or complex models that exceed the Quadro RTX 6000's 24 GB limit, preventing out-of-memory errors in deep learning. Memory bandwidth of 864 GB/s on the L40 versus 672 GB/s on the Quadro RTX 6000 minimizes bottlenecks during data loading, enabling stable training with bigger batches. Higher TDP at 300W for the L40 reflects its datacenter optimization, contrasting the Quadro RTX 6000's 260W for workstation efficiency.
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 |
When to Choose the L40
The L40 excels in modern AI and rendering workloads requiring high VRAM and compute. With 48 GB GDDR6 and 90.5 TFLOPS FP32, it handles large-scale LLM training or Stable Diffusion at scales impossible on the Quadro RTX 6000's 24 GB and 16.3 TFLOPS. Cloud availability from $0.67 per hour across 14 providers suits scalable deployments without hardware investment.
When to Choose the Quadro RTX 6000
The Quadro RTX 6000 fits legacy professional visualization or CAD where NVLink interconnect enables multi-GPU scaling unavailable on the L40. Its lower 260W TDP conserves power in on-premises workstations, and 672 GB/s bandwidth suffices for moderate rendering tasks. Absence of cloud offers implies on-hand availability for cost-sensitive upgrades.
Use Cases
The L40's 90.5 TFLOPS FP16 and 48 GB VRAM support large batch sizes for efficient training, far surpassing the Quadro RTX 6000's 16.3 TFLOPS and 24 GB.
L40 delivers 90.5 TFLOPS FP16 for low-latency serving of big models, with 864 GB/s bandwidth handling high throughput unlike the Quadro RTX 6000's 16.3 TFLOPS.
48 GB VRAM on L40 accommodates full model fine-tuning without splitting, backed by 90.5 TFLOPS versus Quadro RTX 6000's 24 GB limit.
L40's 48 GB VRAM enables high-resolution image generation at 90.5 TFLOPS, avoiding memory constraints of Quadro RTX 6000's 24 GB.
L40 suits high-compute simulations with 90.5 TFLOPS; Quadro RTX 6000 works for NVLink-multi-GPU setups at 16.3 TFLOPS if legacy software demands it.
Frequently Asked Questions
Which GPU has more VRAM: L40 or Quadro RTX 6000?▾
The L40 provides 48 GB GDDR6 VRAM, double the Quadro RTX 6000's 24 GB. This allows the L40 to load larger models without swapping. Bandwidth also favors L40 at 864 GB/s over 672 GB/s.
How do FP32 performance numbers compare?▾
L40 achieves 90.5 TFLOPS FP32, over 5.5 times the Quadro RTX 6000's 16.3 TFLOPS. This translates to faster scientific simulations and rendering. FP16 matches this ratio on both.
What is the power consumption difference?▾
L40 draws 300W TDP, higher than Quadro RTX 6000's 260W. L40 offers better performance per watt due to Ada architecture. Both use PCIe form factors.
Is cloud pricing available for these GPUs?▾
L40 starts at $0.67 per hour, averaging $0.89 across 14 offers. Quadro RTX 6000 has no live cloud offers. L40 suits rental for AI tasks.
Does Quadro RTX 6000 support multi-GPU better?▾
Quadro RTX 6000 includes NVLink interconnect, unlike L40. This aids scaling for visualization workloads. L40 relies on PCIe for datacenter use.
Which is newer architecture?▾
L40 uses 2023 Ada Lovelace, advancing beyond Quadro RTX 6000's 2018 Turing. Ada brings tensor cores for 90.5 TFLOPS gains. Turing limits at 16.3 TFLOPS.
Which is cheaper to rent, the L40 or the Quadro RTX 6000?▾
Cloud rental prices for both the L40 and Quadro RTX 6000 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 RTX 6000?▾
The L40 has 48 GB of GDDR6 memory. The Quadro RTX 6000 has 24 GB of GDDR6 memory.
Can I find L40 and Quadro RTX 6000 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 RTX 6000?▾
The L40 uses the Ada Lovelace architecture (2023) while the Quadro RTX 6000 uses Turing (2018). The L40 delivers 5.6x the FP16 throughput and 1.3x the memory bandwidth of the Quadro RTX 6000.