Specifications Compared
| Spec | L40 | QUADRO-RTX-4000 |
|---|---|---|
| TDP | 300W | 160W |
| VRAM | 48 GB | 8 GB |
| CUDA Cores | 18,176 | 2,304 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ada Lovelace | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 568 | 288 |
| FP16 Performance | 90.5 TFLOPS | 7.1 TFLOPS |
| FP32 Performance | 90.5 TFLOPS | 7.1 TFLOPS |
| INT8 Performance | 724 TOPS | |
| Memory Bandwidth | 864 GB/s | 416 GB/s |
Performance Analysis
The L40's 90.5 TFLOPS in FP16 and FP32 provides approximately 12.7 times the compute power of the Quadro RTX 4000's 7.1 TFLOPS, translating to dramatically faster training and inference times for machine learning models. In training scenarios, this FP16/FP32 parity on the L40 supports mixed-precision workflows efficiently, reducing epochs from days to hours compared to the Turing-based Quadro RTX 4000.
Memory capacity emerges as a critical differentiator: the L40's 48 GB VRAM accommodates massive batch sizes and complex models that exceed the Quadro RTX 4000's 8 GB limit, preventing out-of-memory errors in large language model inference or fine-tuning. Bandwidth of 864 GB/s on the L40 versus 416 GB/s on the Quadro RTX 4000 further enhances throughput, allowing larger batches without bottlenecks and improving utilization in data-intensive tasks like Stable Diffusion generation.
Power efficiency per TFLOP favors the L40 at 0.3W per TFLOP against the Quadro RTX 4000's 0.0225W per TFLOP, but the L40's higher absolute output justifies its 300W TDP for scale-out deployments over the 160W workstation-oriented design.
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 | |||
 Massed Compute | NVIDIA L40 48GB VRAM | 48GB | 14 vCPU 72GB RAM 625GB Storage | Iowa | $0.86/GPU/hr | Available | ||
RunPod | NVIDIA L40S 48GB VRAM | 48GB | 16 vCPU 94GB RAM | 🌍global | $0.86/GPU/hr | |||
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 RTX 4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.56/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.56/GPU/hr $1.12/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.56/GPU/hr $1.12/hr total (2×) | Available |
When to Choose the L40
The L40 excels in workloads requiring substantial VRAM and compute: training large language models benefits from its 48 GB GDDR6 and 90.5 TFLOPS FP16 performance, enabling batch sizes infeasible on 8 GB alternatives. Datacenter-scale inference and fine-tuning leverage the 864 GB/s bandwidth for rapid processing across 14 cloud offers starting at $0.67 per hour.
Scientific computing simulations demanding high FP32 throughput at 90.5 TFLOPS favor the L40 over legacy hardware, especially in PCIe form factor for multi-GPU clusters.
When to Choose the Quadro RTX 4000
The Quadro RTX 4000 suits budget-conscious users with light workloads: its $0.56 per hour pricing across 5 offers and 160W TDP minimize costs for basic visualization or small-scale inference within 8 GB VRAM limits. Legacy Turing applications or entry-level Stable Diffusion runs perform adequately at 7.1 TFLOPS without needing Ada Lovelace upgrades.
Use Cases
The L40's 48 GB VRAM and 90.5 TFLOPS FP16 handle large models and batches that exceed the Quadro RTX 4000's 8 GB and 7.1 TFLOPS limits.
High 864 GB/s bandwidth on the L40 supports fast token generation for production-scale inference, far beyond the Quadro RTX 4000's 416 GB/s.
90.5 TFLOPS FP32 on the L40 accelerates parameter updates on datasets fitting 48 GB VRAM, unlike the memory-constrained Quadro RTX 4000.
L40's superior VRAM and compute enable high-resolution image generation at scale, outperforming the Quadro RTX 4000 in speed and quality.
The L40's 90.5 TFLOPS FP32 and 300W TDP efficiency power complex simulations, surpassing the Quadro RTX 4000's capabilities.
Frequently Asked Questions
Which GPU has more VRAM: L40 or Quadro RTX 4000?▾
The L40 provides 48 GB GDDR6 VRAM, six times the Quadro RTX 4000's 8 GB GDDR6. This difference supports larger models in ML tasks. Cloud pricing starts at $0.67 per hour for the L40.
How do L40 and Quadro RTX 4000 compare in performance?▾
The L40 delivers 90.5 TFLOPS in FP16 and FP32, about 12.7 times the Quadro RTX 4000's 7.1 TFLOPS. Memory bandwidth is 864 GB/s versus 416 GB/s. This gap favors the L40 for training and inference.
What is the power consumption of these GPUs?▾
The L40 has a 300W TDP, while the Quadro RTX 4000 uses 160W. Higher TDP on the L40 correlates with its datacenter performance at 90.5 TFLOPS. Both use PCIe form factors.
Which is cheaper in the cloud: L40 or Quadro RTX 4000?▾
Cloud pricing for the Quadro RTX 4000 starts at $0.56 per hour averaging the same across 5 offers, slightly below the L40's $0.67 per hour from $0.89 average over 14 offers. Value favors L40 for high-end tasks.
What architecture do L40 and Quadro RTX 4000 use?▾
The L40 employs Ada Lovelace from 2023, while the Quadro RTX 4000 uses Turing from 2018. This five-year gap explains the L40's superior 48 GB VRAM and 864 GB/s bandwidth.
Can Quadro RTX 4000 handle LLM inference?▾
The Quadro RTX 4000 manages small-scale LLM inference within its 8 GB VRAM and 7.1 TFLOPS, but struggles with larger models. The L40 excels with 48 GB and 90.5 TFLOPS.
Which is cheaper to rent, the L40 or the Quadro RTX 4000?▾
Cloud rental prices for both the L40 and Quadro RTX 4000 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 4000?▾
The L40 has 48 GB of GDDR6 memory. The Quadro RTX 4000 has 8 GB of GDDR6 memory.
Can I find L40 and Quadro RTX 4000 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 4000?▾
The L40 uses the Ada Lovelace architecture (2023) while the Quadro RTX 4000 uses Turing (2018). The L40 delivers 12.7x the FP16 throughput and 2.1x the memory bandwidth of the Quadro RTX 4000.