Specifications Compared
| Spec | GTX-1070 | L40S |
|---|---|---|
| TDP | 150W | 350W |
| VRAM | 8 GB | 48 GB |
| CUDA Cores | 1,920 | 18,176 |
| Memory Type | GDDR5 | GDDR6X |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | |
| FP16 Performance | 6.5 TFLOPS | 362 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 91 TFLOPS |
| Memory Bandwidth | 256 GB/s | 864 GB/s |
Performance Analysis
Compute disparities define these GPUs' capabilities: the L40S achieves 362 TFLOPS in FP16 versus the GTX 1070's 6.5 TFLOPS, a 55-fold increase that accelerates mixed-precision training for large language models. Its 91 TFLOPS FP32 surpasses the GTX 1070's 6.5 TFLOPS by 14 times, benefiting inference and scientific simulations requiring full precision.
Memory specs transform real-world usage. The L40S's 48 GB GDDR6X VRAM supports batch sizes for models exceeding 8 GB, the GTX 1070's limit, preventing out-of-memory errors in fine-tuning or diffusion tasks. Bandwidth at 864 GB/s, over three times the GTX 1070's 256 GB/s, minimizes data transfer delays, enabling larger datasets and faster iterations.
These deltas mean the L40S handles modern AI pipelines efficiently: FP16/FP32 ratios favor training speedups via tensor cores, absent in Pascal, while PCIe 4.0 interconnect aids multi-GPU scaling unavailable on the GTX 1070.
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 GTX 1070
The GTX 1070 suits legacy gaming, lightweight desktop rendering, or hobbyist tasks from the 2016 era. Its 150W TDP draws half the power of the L40S's 350W, reducing costs in home setups. With no cloud offers, it excels for on-premises systems where existing hardware depreciates slowly.
When to Choose the L40S
The L40S dominates AI training, large-scale inference, and professional visualization. Its 48 GB VRAM accommodates models infeasible on 8 GB, and 362 TFLOPS FP16 drives rapid experimentation. Cloud pricing from $0.40 per hour across 18 offers enables bursty, scalable workloads without upfront investment.
Use Cases
L40S's 362 TFLOPS FP16 and 48 GB VRAM support large-scale training; GTX 1070's 6.5 TFLOPS and 8 GB VRAM fail on model sizes beyond small prototypes.
L40S delivers 91 TFLOPS FP32 and 724 TFLOPS FP8 for high-throughput serving; GTX 1070's 6.5 TFLOPS limits it to toy-scale inference.
48 GB VRAM and 864 GB/s bandwidth on L40S handle large batch sizes; GTX 1070's 8 GB and 256 GB/s cause frequent swapping.
L40S's Ada architecture and 362 TFLOPS FP16 generate images rapidly at high resolutions; GTX 1070 struggles with 8 GB VRAM constraints.
L40S's 91 TFLOPS FP32 excels in simulations; GTX 1070's 6.5 TFLOPS suits only basic computations.
Frequently Asked Questions
Can the GTX 1070 handle modern AI training?▾
The GTX 1070 cannot effectively train current AI models due to 8 GB GDDR5 VRAM and 6.5 TFLOPS FP16. It limits batch sizes and model complexity, unlike the L40S's 48 GB and 362 TFLOPS.
What is the performance gap in FP32 between GTX 1070 and L40S?▾
The L40S delivers 91 TFLOPS FP32, 14 times the GTX 1070's 6.5 TFLOPS. This gap accelerates single-precision tasks like scientific computing.
Is L40S worth the higher power draw?▾
L40S's 350W TDP is justified by 362 TFLOPS FP16 versus GTX 1070's 150W and 6.5 TFLOPS. Cloud rentals from $0.40 per hour offset power for demanding workloads.
How does VRAM compare for inference?▾
L40S offers 48 GB GDDR6X for large model inference, versus GTX 1070's 8 GB GDDR5. This enables bigger batches without quantization.
Why no cloud pricing for GTX 1070?▾
No live offers exist for GTX 1070 due to its age and obsolescence. L40S has 18 offers averaging $1.10 per hour starting at $0.40.
Does bandwidth matter for Stable Diffusion?▾
L40S's 864 GB/s bandwidth speeds texture loading versus GTX 1070's 256 GB/s. It reduces generation times significantly.
Which is cheaper to rent, the GTX 1070 or the L40S?▾
Cloud rental prices for both the GTX 1070 and L40S 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 GTX 1070 have compared to the L40S?▾
The GTX 1070 has 8 GB of GDDR5 memory. The L40S has 48 GB of GDDR6X memory.
Can I find GTX 1070 and L40S 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 GTX 1070 and the L40S?▾
The GTX 1070 uses the Pascal architecture (2016) while the L40S uses Ada Lovelace (2023). The L40S delivers 55.7x the FP16 throughput and 3.4x the memory bandwidth of the GTX 1070.