Specifications Compared
| Spec | L40S | RTX-4070 |
|---|---|---|
| TDP | 350W | 200W |
| VRAM | 48 GB | 12 GB |
| CUDA Cores | 18,176 | 5,888 |
| Memory Type | GDDR6X | GDDR6X |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | |
| Tensor Cores | 568 | 184 |
| FP8 Performance | 724 TFLOPS | |
| FP16 Performance | 362 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 91 TFLOPS | 29.1 TFLOPS |
| FP64 Performance | 1.4 TFLOPS | |
| INT8 Performance | 724 TOPS | 466 TOPS |
| Memory Bandwidth | 864 GB/s | 504 GB/s |
Performance Analysis
The L40S outperforms in FP16 at 362 TFLOPS: this accelerates deep learning training and inference significantly over the RTX 4070's 29.1 TFLOPS, enabling quicker iterations on neural networks. The FP32 performance of 91 TFLOPS on the L40S versus 29.1 TFLOPS supports compute-intensive simulations better, reducing runtime for precision-dependent tasks.
Memory bandwidth defines workload feasibility: 864 GB/s on the L40S permits larger batch sizes in training without bottlenecks, unlike the 504 GB/s on the RTX 4070 which limits throughput for memory-bound operations. The 48 GB VRAM on the L40S loads full large language models, avoiding the data swapping required by the RTX 4070's 12 GB.
Power efficiency varies with TDP: the L40S at 350W sustains peak performance in dense servers, while the 200W RTX 4070 suits lower-density, cost-optimized clouds. These specs translate to real-world gains in AI pipelines where scale matters.
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 | 4×NVIDIA L40S 48GB VRAM | 48GB | 46 vCPU 288GB RAM 2500GB Storage | Iowa | $0.88/GPU/hr $3.52/hr total (4×) | 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 4070
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the L40S
The L40S stands out for large-scale AI training: its 48 GB VRAM accommodates models exceeding 12 GB, and 362 TFLOPS FP16 speeds convergence. Production inference benefits from 724 TFLOPS FP8 and 864 GB/s bandwidth for high-throughput serving.
Datacenter deployments favor the L40S PCIe 4.0 interconnect for multi-GPU scaling across 18 cloud offers starting at $0.40 per hour.
When to Choose the RTX 4070
The RTX 4070 fits budget prototyping: average $0.19 per hour across 9 offers makes it ideal for fine-tuning models under 12 GB VRAM. Its 29.1 TFLOPS FP16 handles Stable Diffusion or small inference at low 200W TDP.
Light workloads or gaming-adjacent compute prefer the RTX 4070 for affordability without sacrificing Ada Lovelace efficiency.
Use Cases
L40S 48 GB VRAM and 362 TFLOPS FP16 handle massive models and large batches, unlike RTX 4070's 12 GB limit.
L40S 724 TFLOPS FP8 and 864 GB/s bandwidth deliver high throughput for production; RTX 4070 suits only small models.
RTX 4070 29.1 TFLOPS FP16 suffices for models under 12 GB at $0.19 per hour average; L40S for larger ones.
RTX 4070 12 GB VRAM and 504 GB/s bandwidth fit image generation efficiently at low $0.07 per hour minimum.
L40S 91 TFLOPS FP32 outperforms RTX 4070's 29.1 TFLOPS for simulations requiring precision.
Frequently Asked Questions
Which GPU has more VRAM?▾
The L40S provides 48 GB GDDR6X VRAM, four times the RTX 4070's 12 GB. This enables larger models on L40S. RTX 4070 limits to smaller datasets.
How do cloud prices compare?▾
L40S starts at $0.40 per hour with $1.10 average across 18 offers. RTX 4070 starts at $0.07 per hour with $0.19 average across 9 offers. RTX 4070 offers better value for light tasks.
Which is better for AI training?▾
L40S excels with 362 TFLOPS FP16 and 48 GB VRAM for large batches. RTX 4070's 29.1 TFLOPS suits small-scale only. Training speedups reach 12 times on L40S.
What are the TDP differences?▾
L40S TDP is 350W for sustained datacenter loads. RTX 4070 TDP is 200W for efficient consumer use. Lower TDP reduces cloud cooling costs on RTX 4070.
Do they share the same architecture?▾
Both use Ada Lovelace from 2023. L40S optimizes for professional compute with higher specs. RTX 4070 focuses on gaming balance.
Which has higher memory bandwidth?▾
L40S achieves 864 GB/s, surpassing RTX 4070's 504 GB/s. This supports bigger batches on L40S. Bandwidth gaps impact data-heavy workloads.
Which is cheaper to rent, the L40S or the RTX 4070?▾
Cloud rental prices for both the L40S and RTX 4070 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 4070?▾
The L40S has 48 GB of GDDR6X memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find L40S and RTX 4070 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 4070?▾
The L40S uses the Ada Lovelace architecture (2023) while the RTX 4070 uses Ada Lovelace (2023). The L40S delivers 12.4x the FP16 throughput and 1.7x the memory bandwidth of the RTX 4070.