Specifications Compared
| Spec | L40S | QUADRO-P6000 |
|---|---|---|
| TDP | 350W | 250W |
| VRAM | 48 GB | 24 GB |
| CUDA Cores | 18,176 | 3,840 |
| Memory Type | GDDR6X | GDDR5X |
| Architecture | Ada Lovelace | Pascal |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | |
| Tensor Cores | 568 | |
| FP8 Performance | 724 TFLOPS | |
| FP16 Performance | 362 TFLOPS | 12.6 TFLOPS |
| FP32 Performance | 91 TFLOPS | 12.6 TFLOPS |
| FP64 Performance | 1.4 TFLOPS | |
| INT8 Performance | 724 TOPS | |
| Memory Bandwidth | 864 GB/s | 432 GB/s |
Performance Analysis
The L40S dominates in compute performance: its FP32 throughput reaches 91 TFLOPS compared to the P6000's 12.6 TFLOPS, enabling faster general-purpose simulations and training. For machine learning, the L40S FP16 performance hits 362 TFLOPS versus 12.6 TFLOPS on the P6000, accelerating model training where half-precision suffices. The FP16 to FP32 ratio on the L40S, approximately 4:1, supports efficient mixed-precision training, while the P6000's 1:1 parity limits scalability for large neural networks. Inference benefits further from the L40S FP8 capability at 724 TFLOPS, absent on the P6000. Memory bandwidth doubles to 864 GB/s on the L40S, allowing larger batch sizes in training without bottlenecks: for instance, models requiring over 24 GB VRAM fit entirely on the L40S, reducing data transfer overhead.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
L40S
| 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 L40S 48GB VRAM | 48GB | 16 vCPU 94GB RAM | 🌍global | $0.86/GPU/hr | |||
 Massed Compute | NVIDIA L40S 48GB VRAM | 48GB | 12 vCPU 72GB RAM 625GB Storage | Iowa | $0.88/GPU/hr | Available | ||
Massed Compute | 2×NVIDIA L40S 48GB VRAM | 48GB | 24 vCPU 144GB RAM 1250GB Storage | Iowa | $0.88/GPU/hr $1.76/hr total (2×) | Available | ||
Massed Compute | NVIDIA L40S 48GB VRAM | 48GB | 12 vCPU 72GB RAM 625GB Storage | Iowa | $0.88/GPU/hr | Available |
Quadro P6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | New York | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $1.10/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | New York | $1.10/GPU/hr $2.20/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr $2.20/hr total (2×) | Available |
When to Choose the L40S
The L40S excels in AI-driven workloads demanding high throughput and capacity: large language model training leverages its 362 TFLOPS FP16 and 48 GB VRAM for bigger batches than the P6000's 24 GB limit. Datacenter deployments favor its PCIe 4.0 interconnect and 864 GB/s bandwidth for multi-GPU scaling. Cloud users benefit from pricing starting at $0.40 per hour across 21 offers, making it viable for inference at 724 TFLOPS FP8.
When to Choose the Quadro P6000
The Quadro P6000 suits legacy professional visualization software optimized for Pascal architecture: applications like CAD rendering utilize its 24 GB GDDR5X VRAM without recompilation needs. Lower TDP at 250W versus 350W reduces power costs in constrained environments. It remains relevant where cloud pricing at $1.10 per hour matches averages and workloads do not exceed 12.6 TFLOPS FP32 demands.
Use Cases
The L40S provides 362 TFLOPS FP16 and 48 GB VRAM, enabling larger models and batches than the P6000's 12.6 TFLOPS and 24 GB.
FP8 performance at 724 TFLOPS on the L40S accelerates high-throughput serving, far beyond the P6000's capabilities.
91 TFLOPS FP32 and doubled 864 GB/s bandwidth on the L40S handle parameter-efficient tuning efficiently, unlike the P6000's limits.
48 GB VRAM supports high-resolution generation on the L40S, with 362 TFLOPS FP16 outperforming the P6000 for diffusion models.
The L40S 91 TFLOPS FP32 throughput processes simulations much faster than the P6000's 12.6 TFLOPS.
Frequently Asked Questions
Which GPU has more VRAM?▾
The L40S offers 48 GB GDDR6X VRAM, double the Quadro P6000's 24 GB GDDR5X. This allows the L40S to handle larger datasets without swapping. Cloud pricing favors the L40S from $0.40 per hour.
How do FP32 performances compare?▾
The L40S delivers 91 TFLOPS FP32, over seven times the P6000's 12.6 TFLOPS. This gap accelerates general compute tasks significantly. Both use PCIe form factors.
What is the memory bandwidth difference?▾
L40S bandwidth reaches 864 GB/s, exactly double the P6000's 432 GB/s. Higher bandwidth supports larger batch sizes in ML workloads. The L40S uses PCIe 4.0 interconnect.
Which is better for AI inference?▾
The L40S with 724 TFLOPS FP8 and 362 TFLOPS FP16 outperforms the P6000's 12.6 TFLOPS FP16. Its 48 GB VRAM fits bigger models. Average cloud cost is $1.11 per hour for L40S.
Compare their TDPs and pricing?▾
L40S TDP is 350W versus P6000's 250W, but L40S cloud pricing starts at $0.40 per hour across 21 offers. P6000 averages $1.10 per hour over 6 offers. Performance justifies the power draw.
What architectures do they use?▾
L40S employs 2023 Ada Lovelace, while P6000 uses 2016 Pascal. This generational leap yields massive compute gains like 362 TFLOPS FP16 on L40S. Both are PCIe-based.
Which is cheaper to rent, the L40S or the Quadro P6000?▾
Cloud rental prices for both the L40S and Quadro P6000 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 L40S have compared to the Quadro P6000?▾
The L40S has 48 GB of GDDR6X memory. The Quadro P6000 has 24 GB of GDDR5X memory.
Can I find L40S and Quadro P6000 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 L40S and the Quadro P6000?▾
The L40S uses the Ada Lovelace architecture (2023) while the Quadro P6000 uses Pascal (2016). The L40S delivers 28.7x the FP16 throughput and 2.0x the memory bandwidth of the Quadro P6000.