Specifications Compared
| Spec | L40S | RTX-2070 |
|---|---|---|
| TDP | 350W | 175W |
| VRAM | 48 GB | 8 GB |
| CUDA Cores | 18,176 | 2,304 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ada Lovelace | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | NVLink |
| Tensor Cores | 568 | 288 |
| FP8 Performance | 724 TFLOPS | |
| FP16 Performance | 362 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 91 TFLOPS | 7.5 TFLOPS |
| FP64 Performance | 1.4 TFLOPS | |
| INT8 Performance | 724 TOPS | |
| Memory Bandwidth | 864 GB/s | 448 GB/s |
Performance Analysis
Compute specifications position the L40S as an AI powerhouse: 362 TFLOPS FP16 performance enables rapid neural network training and inference using half-precision formats, over 39 times the RTX 2070 SUPER's 9.1 TFLOPS FP16. The L40S FP32 rate of 91 TFLOPS suits single-precision tasks like simulations, exceeding the RTX 2070 SUPER's 9.1 TFLOPS by a factor of 10.
Memory bandwidth profoundly influences workloads: the L40S's 864 GB/s sustains large batch sizes in training loops, minimizing data bottlenecks, whereas the RTX 2070 SUPER's 448 GB/s constrains scalability for memory-bound operations. The L40S introduces FP8 at 724 TFLOPS for ultra-efficient quantized inference, absent on the Turing-based RTX 2070 SUPER.
Power draw reflects capability gaps: the L40S TDP of 350W delivers superior throughput per watt compared to the RTX 2070 SUPER's 215W, making it viable for dense cloud deployments.
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 |
When to Choose the L40S
Professionals select the L40S for intensive AI and HPC tasks: 48 GB VRAM handles LLMs and fine-tuning datasets infeasible on 8 GB, while 362 TFLOPS FP16 accelerates training epochs. Cloud access from $0.40/hr across 23 providers eliminates hardware procurement, ideal for bursty enterprise workloads on PCIe 4.0.
High memory bandwidth of 864 GB/s supports production-scale inference with large batches, outperforming legacy consumer cards.
When to Choose the RTX 2070 SUPER
The RTX 2070 SUPER fits cost-sensitive local setups for gaming or lightweight compute: 9.1 TFLOPS FP32 manages Stable Diffusion at 512x512 resolutions, and 215W TDP integrates into standard desktops without data center cooling. With no cloud offers, it serves users leveraging existing hardware for hobbyist ML or non-memory-intensive tasks where 8 GB VRAM suffices.
Use Cases
L40S 48 GB VRAM and 362 TFLOPS FP16 manage large models and batches. RTX 2070 SUPER 8 GB VRAM restricts to tiny datasets.
L40S 724 TFLOPS FP8 and 864 GB/s bandwidth optimize high-throughput serving. RTX 2070 SUPER lacks FP8 and sufficient VRAM for production.
L40S 91 TFLOPS FP32 and 48 GB VRAM accelerate parameter-efficient tuning. RTX 2070 SUPER 9.1 TFLOPS limits scale.
RTX 2070 SUPER 9.1 TFLOPS FP16 generates images at modest sizes locally. L40S excels for high-res or batch generation.
L40S 91 TFLOPS FP32 and PCIe 4.0 support complex simulations. RTX 2070 SUPER 9.1 TFLOPS suits basic tasks only.
Frequently Asked Questions
Which GPU has more VRAM, L40S or RTX 2070 SUPER?▾
The L40S features 48 GB GDDR6X VRAM. The RTX 2070 SUPER has 8 GB GDDR6. This disparity favors L40S for memory-heavy AI models.
How do FP16 performances compare?▾
L40S delivers 362 TFLOPS FP16. RTX 2070 SUPER provides 9.1 TFLOPS FP16. L40S offers roughly 40 times the half-precision compute.
What are the cloud pricing options?▾
L40S available from $0.40/hr average $1.13/hr over 23 offers. RTX 2070 SUPER has no live cloud offers.
Compare memory bandwidth▾
L40S bandwidth is 864 GB/s. RTX 2070 SUPER bandwidth is 448 GB/s. Higher L40S bandwidth enables larger training batches.
What are the TDP values?▾
L40S TDP is 350W. RTX 2070 SUPER TDP is 215W. L40S provides greater performance density.
Key architecture differences?▾
L40S uses Ada Lovelace 2023 with FP8 at 724 TFLOPS. RTX 2070 SUPER uses Turing 2018 without FP8 support.
Which is cheaper to rent, the L40S or the RTX 2070?▾
Cloud rental prices for both the L40S and RTX 2070 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 2070?▾
The L40S has 48 GB of GDDR6X memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find L40S and RTX 2070 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 2070?▾
The L40S uses the Ada Lovelace architecture (2023) while the RTX 2070 uses Turing (2018). The L40S delivers 48.3x the FP16 throughput and 1.9x the memory bandwidth of the RTX 2070.


