Specifications Compared
| Spec | L40S | V100 |
|---|---|---|
| TDP | 350W | 300W |
| VRAM | 48 GB | 16-32 GB |
| CUDA Cores | 18,176 | 5,120 |
| Memory Type | GDDR6X | HBM2 |
| Architecture | Ada Lovelace | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | PCIe 4.0 | NVLink, PCIe 3.0 |
| Tensor Cores | 568 | 640 |
| FP8 Performance | 724 TFLOPS | |
| FP16 Performance | 362 TFLOPS | 125 TFLOPS |
| FP32 Performance | 91 TFLOPS | 15.7 TFLOPS |
| FP64 Performance | 1.4 TFLOPS | 7.8 TFLOPS |
| INT8 Performance | 724 TOPS | |
| Memory Bandwidth | 864 GB/s | 900 GB/s |
Performance Analysis
Superior compute throughput defines the L40S's edge: its 362 TFLOPS FP16 performance exceeds V100's 125 TFLOPS by nearly 2.9 times, accelerating mixed-precision training in deep learning. FP32 performance reaches 91 TFLOPS on L40S versus 15.7 TFLOPS on V100, a 5.8-fold increase that benefits single-precision scientific simulations and model training phases requiring full precision. The L40S also supports FP8 at 724 TFLOPS, ideal for efficient inference not available on V100.
Memory configurations impact real-world scalability: L40S's 48 GB GDDR6X enables larger batch sizes in training large language models, reducing overhead from data swapping compared to V100's 32 GB HBM2 limit. Although V100 edges bandwidth at 900 GB/s over 864 GB/s, the VRAM disparity often bottlenecks V100 first in memory-intensive tasks like fine-tuning. Higher TDP on L40S at 350W sustains these peaks, while V100's 300W suits lighter loads but throttles under prolonged demands.
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 |
Tesla V100 32GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Texas | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | New York City | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Texas | $0.29/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | New York City | $0.29/GPU/hr | Available | ||
 Lambda Labs | 8×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 88 vCPU 448GB RAM 6041GB Storage | Texas | $0.79/GPU/hr $6.32/hr total (8×) | Available |
When to Choose the L40S
Opt for the L40S in modern AI pipelines demanding high throughput and capacity. Its 48 GB VRAM handles massive models without multi-GPU splitting, and 362 TFLOPS FP16 with 724 TFLOPS FP8 excels in LLM inference and training. Cloud users prioritizing speed over minimal cost benefit from PCIe 4.0 and Ada Lovelace optimizations at $0.40 per hour starting price.
When to Choose the Tesla V100 32GB
Select the V100 32GB for budget-conscious legacy applications or where availability matters. With 46 live offers averaging $1.01 per hour from $0.29, it suits established Volta-optimized codebases in scientific computing. NVLink interconnect aids multi-GPU setups, and 900 GB/s bandwidth performs adequately for workloads not saturating 48 GB VRAM.
Use Cases
L40S provides 91 TFLOPS FP32 and 362 TFLOPS FP16, over 5 times V100's capacities, for faster training cycles. Its 48 GB VRAM supports larger batches than V100's 32 GB.
L40S's 724 TFLOPS FP8 and 362 TFLOPS FP16 deliver superior low-precision inference speed. Higher VRAM handles bigger models without latency spikes.
The 48 GB VRAM on L40S accommodates full model loading for efficient fine-tuning, unlike V100's 32 GB limit. FP16 at 362 TFLOPS accelerates iterations significantly.
L40S's 48 GB GDDR6X VRAM enables high-resolution image generation at scale. Compute at 362 TFLOPS FP16 outperforms V100 for diffusion model pipelines.
V100's NVLink and 900 GB/s bandwidth suit HPC multi-node simulations optimized for Volta. Lower TDP of 300W and cheaper $0.29 per hour entry fit legacy codes.
Frequently Asked Questions
Which GPU has more VRAM: L40S or V100 32GB?▾
The L40S offers 48 GB GDDR6X VRAM, exceeding the V100 32GB's 32 GB HBM2. This difference allows L40S to manage larger datasets or models in one GPU. Bandwidth remains comparable at 864 GB/s versus 900 GB/s.
How does L40S FP16 performance compare to V100?▾
L40S achieves 362 TFLOPS in FP16, 2.9 times higher than V100's 125 TFLOPS. This boosts mixed-precision AI training speeds significantly. L40S adds FP8 at 724 TFLOPS for inference.
What is the price difference between L40S and V100 in the cloud?▾
L40S starts at $0.40 per hour averaging $1.13 across 23 offers, while V100 32GB begins at $0.29 per hour averaging $1.01 over 46 offers. V100 provides more availability options. Averages stay close despite L40S's performance lead.
Is L40S or V100 better for large batch training?▾
L40S excels with 48 GB VRAM supporting bigger batches than V100's 32 GB. Its 91 TFLOPS FP32 handles precision needs better than V100's 15.7 TFLOPS. Memory bandwidth at 864 GB/s keeps pace.
What interconnects do L40S and V100 support?▾
L40S uses PCIe 4.0 in PCIe form factor, while V100 supports NVLink, PCIe 3.0 in SXM2 or PCIe variants. NVLink aids V100 multi-GPU scaling in HPC. PCIe 4.0 on L40S doubles bandwidth over PCIe 3.0.
Which has higher power consumption: L40S or V100?▾
L40S draws 350W TDP compared to V100's 300W. This supports L40S's higher 362 TFLOPS FP16 peaks. V100 suits power-constrained older clusters.
Which is cheaper to rent, the L40S or the V100?▾
Cloud rental prices for both the L40S and V100 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 V100?▾
The L40S has 48 GB of GDDR6X memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find L40S and V100 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 V100?▾
The L40S uses the Ada Lovelace architecture (2023) while the V100 uses Volta (2017). The L40S delivers 2.9x the FP16 throughput and 1.0x the memory bandwidth of the V100.