Specifications Compared
| Spec | L40 | RTX-2080 |
|---|---|---|
| TDP | 300W | 215W |
| VRAM | 48 GB | 8-11 GB |
| CUDA Cores | 18,176 | 2,944 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ada Lovelace | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 568 | 368 |
| FP16 Performance | 90.5 TFLOPS | 10.1 TFLOPS |
| FP32 Performance | 90.5 TFLOPS | 10.1 TFLOPS |
| INT8 Performance | 724 TOPS | |
| Memory Bandwidth | 864 GB/s | 616 GB/s |
Performance Analysis
The L40's FP16 and FP32 performance both at 90.5 TFLOPS vastly exceed the RTX 2080 Ti's 10.1 TFLOPS in each, translating to roughly 9 times faster compute for machine learning training and inference tasks. This delta means the L40 processes tensor operations far quicker, reducing training times for models requiring high half-precision throughput.
Memory bandwidth plays a critical role: the L40's 864 GB/s supports larger batch sizes in training without bottlenecks, while the RTX 2080 Ti's 616 GB/s limits scalability for memory-intensive inference. The L40's 48 GB VRAM accommodates massive models or datasets that the RTX 2080 Ti's 11 GB cannot handle, preventing out-of-memory errors in deep learning pipelines. Higher TDP on the L40 sustains peak performance longer under load.
In real-world terms, these specs position the L40 for enterprise-scale AI, whereas the RTX 2080 Ti suits prototyping where absolute speed matters less than availability.
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 |
RTX 2080 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 2080 Ti 11GB VRAM | 11GB | 32 vCPU 63GB RAM 1273GB Storage | Maryland | $0.13/GPU/hr | Available |
When to Choose the L40
Professionals select the L40 for large-scale LLM training or inference: its 48 GB VRAM and 90.5 TFLOPS FP16 performance enable handling models with billions of parameters at batch sizes infeasible on the RTX 2080 Ti's 11 GB. Cloud deployments benefit from 14 live offers starting at $0.67 per hour.
Scientific computing or Stable Diffusion at production volumes favor the L40, as 864 GB/s bandwidth accelerates data movement for complex simulations.
When to Choose the RTX 2080 Ti
Budget-conscious users opt for the RTX 2080 Ti in light fine-tuning or prototyping: its 10.1 TFLOPS suffices for smaller models, with pricing from $0.06 per hour across 6 offers making it economical. Lower 215W TDP reduces cloud costs in intermittent workloads.
Hobbyist Stable Diffusion or basic inference runs leverage the RTX 2080 Ti's NVLink for multi-GPU setups without needing the L40's datacenter scale.
Use Cases
The L40's 90.5 TFLOPS FP16 and 48 GB VRAM handle large models and batches that exceed the RTX 2080 Ti's 10.1 TFLOPS and 11 GB limits.
High 864 GB/s bandwidth on the L40 supports high-throughput serving; RTX 2080 Ti's 616 GB/s bottlenecks larger queries.
RTX 2080 Ti's 11 GB VRAM works for small models at $0.06 per hour; L40 excels for parameter-heavy fine-tuning with 48 GB.
L40's 90.5 TFLOPS accelerates image generation at scale; RTX 2080 Ti's lower specs slow high-resolution batches.
L40's FP32 90.5 TFLOPS and 300W TDP sustain simulations; RTX 2080 Ti's 10.1 TFLOPS limits complex computations.
Frequently Asked Questions
What is the VRAM difference between L40 and RTX 2080 Ti?▾
The L40 offers 48 GB GDDR6 VRAM, while the RTX 2080 Ti provides 11 GB. This allows the L40 to manage much larger AI models without swapping.
How do FP16 performances compare?▾
L40 achieves 90.5 TFLOPS in FP16, over nine times the RTX 2080 Ti's 10.1 TFLOPS. Training and inference run dramatically faster on the L40.
Which has higher memory bandwidth?▾
The L40's 864 GB/s exceeds the RTX 2080 Ti's 616 GB/s by 40 percent. Larger batch sizes become feasible on the L40.
What are the cloud rental prices?▾
L40 starts at $0.67 per hour averaging $0.89 across 14 offers; RTX 2080 Ti from $0.06 per hour averaging $0.11 across 6 offers.
Is the L40 more power-hungry?▾
Yes, the L40's 300W TDP contrasts the RTX 2080 Ti's 215W. This enables sustained high performance on the L40.
Do both support PCIe?▾
Both GPUs use PCIe form factors. RTX 2080 Ti adds NVLink for multi-GPU linking.
Which is cheaper to rent, the L40 or the RTX 2080?▾
Cloud rental prices for both the L40 and RTX 2080 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 RTX 2080?▾
The L40 has 48 GB of GDDR6 memory. The RTX 2080 has 8 to 11 GB of GDDR6 memory.
Can I find L40 and RTX 2080 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 RTX 2080?▾
The L40 uses the Ada Lovelace architecture (2023) while the RTX 2080 uses Turing (2018). The L40 delivers 9.0x the FP16 throughput and 1.4x the memory bandwidth of the RTX 2080.