Specifications Compared
| Spec | L40S | RTX-5000-ADA |
|---|---|---|
| TDP | 350W | 250W |
| VRAM | 48 GB | 32 GB |
| CUDA Cores | 18,176 | 12,800 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | |
| Tensor Cores | 568 | 400 |
| FP8 Performance | 724 TFLOPS | |
| FP16 Performance | 362 TFLOPS | 65.3 TFLOPS |
| FP32 Performance | 91 TFLOPS | 65.3 TFLOPS |
| FP64 Performance | 1.4 TFLOPS | |
| INT8 Performance | 724 TOPS | 1,044 TOPS |
| Memory Bandwidth | 864 GB/s | 576 GB/s |
Performance Analysis
The L40S outperforms the RTX 5000 Ada in compute-intensive scenarios: its 362 TFLOPS FP16 enables faster mixed-precision training and inference compared to 65.3 TFLOPS on the RTX 5000 Ada. The FP32 rating of 91 TFLOPS on L40S exceeds 65.3 TFLOPS, benefiting simulations and graphics rendering that demand single-precision accuracy. FP8 performance reaches 724 TFLOPS on L40S, ideal for quantized inference not specified on the RTX 5000 Ada.
Memory differences impact real-world usage profoundly. The L40S's 48 GB VRAM and 864 GB/s bandwidth support larger batch sizes in LLM training, reducing overhead versus the RTX 5000 Ada's 32 GB and 576 GB/s. Higher TDP of 350W on L40S reflects greater power draw but sustains peak throughput, while 250W on RTX 5000 Ada suits power-limited setups. These specs translate to L40S handling massive models efficiently, whereas RTX 5000 Ada excels in moderate workloads.
Batch size scalability favors L40S: higher bandwidth minimizes data starvation in deep learning pipelines.
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 |
RTX 5000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
TensorDock | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.55/GPU/hr | Available | ||
RunPod | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 10 vCPU 83GB RAM | 🌍global | $0.83/GPU/hr |
When to Choose the L40S
The L40S excels in large-scale AI deployments. Its 48 GB VRAM accommodates expansive models like 70B-parameter LLMs, where 32 GB on RTX 5000 Ada falls short. Datacenter users benefit from 362 TFLOPS FP16 and 864 GB/s bandwidth for training runs with batch sizes exceeding typical workstation limits.
High-availability cloud environments favor L40S due to 18 live pricing offers starting at $0.40 per hour.
When to Choose the RTX 5000 Ada
The RTX 5000 Ada suits budget-conscious or power-restricted workflows. At $0.25 per hour average $0.51, it delivers solid 65.3 TFLOPS FP16 and FP32 for fine-tuning smaller models or inference on datasets fitting within 32 GB VRAM.
Workstation prototypes and edge computing prefer its 250W TDP, avoiding the L40S's 350W demands.
Use Cases
L40S provides 362 TFLOPS FP16 and 48 GB VRAM for large batch sizes in training massive models. RTX 5000 Ada's 65.3 TFLOPS and 32 GB limit scalability.
724 TFLOPS FP8 and 864 GB/s bandwidth on L40S accelerate quantized serving. Higher VRAM supports concurrent requests beyond RTX 5000 Ada's capacity.
91 TFLOPS FP32 and 48 GB VRAM handle parameter-efficient methods on mid-sized LLMs effectively. RTX 5000 Ada suffices for smaller tasks but bottlenecks larger ones.
Both offer ample Ada Lovelace tensor cores; RTX 5000 Ada's lower $0.51 per hour suits prototyping, while L40S's bandwidth speeds high-res generations.
RTX 5000 Ada's 65.3 TFLOPS FP32 matches many simulations within 250W TDP and 32 GB VRAM. L40S overkill for non-AI compute at higher cost.
Frequently Asked Questions
Which GPU has more VRAM?▾
The L40S offers 48 GB GDDR6X VRAM, surpassing the RTX 5000 Ada's 32 GB GDDR6. This enables larger models on L40S.
What is the FP16 performance difference?▾
L40S achieves 362 TFLOPS FP16 versus 65.3 TFLOPS on RTX 5000 Ada. The gap favors L40S for AI acceleration.
How do prices compare?▾
RTX 5000 Ada starts at $0.25 per hour with $0.51 average across 5 offers; L40S at $0.40 per hour, $1.10 average across 18 offers.
Which has higher memory bandwidth?▾
L40S provides 864 GB/s, double the RTX 5000 Ada's 576 GB/s. Bandwidth aids large-batch processing on L40S.
What are the TDP ratings?▾
L40S consumes 350W TDP; RTX 5000 Ada uses 250W. Lower TDP suits power-constrained RTX 5000 Ada deployments.
Best for LLM inference?▾
L40S with 724 TFLOPS FP8 and 48 GB VRAM outperforms for high-throughput inference. RTX 5000 Ada works for lighter loads.
Which is cheaper to rent, the L40S or the RTX 5000 Ada?▾
Cloud rental prices for both the L40S and RTX 5000 Ada 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 RTX 5000 Ada?▾
The L40S has 48 GB of GDDR6X memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.
Can I find L40S and RTX 5000 Ada 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 RTX 5000 Ada?▾
The L40S uses the Ada Lovelace architecture (2023) while the RTX 5000 Ada uses Ada Lovelace (2023). The L40S delivers 5.5x the FP16 throughput and 1.5x the memory bandwidth of the RTX 5000 Ada.