Specifications Compared
| Spec | GTX-1070 | L40 |
|---|---|---|
| TDP | 150W | 300W |
| VRAM | 8 GB | 48 GB |
| CUDA Cores | 1,920 | 18,176 |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 6.5 TFLOPS | 90.5 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 90.5 TFLOPS |
| Memory Bandwidth | 256 GB/s | 864 GB/s |
Performance Analysis
Compute capabilities define the core performance gap: the L40 achieves 90.5 TFLOPS in FP16 and FP32, compared to 6.5 TFLOPS on the GTX 1070, yielding a 14-fold increase. This disparity accelerates machine learning training, where FP16 precision dominates, reducing epoch times dramatically on the L40. Inference workloads benefit similarly, with the L40 processing higher volumes of requests per second due to elevated throughput.
Memory specifications further amplify advantages: 48 GB GDDR6 on the L40 versus 8 GB GDDR5 on the GTX 1070 supports substantially larger batch sizes in training and inference, minimizing out-of-memory errors for complex models. Bandwidth of 864 GB/s on the L40, over three times the GTX 1070's 256 GB/s, enhances data transfer rates, critical for memory-intensive tasks like large language model processing. Higher TDP of 300W on the L40 reflects its datacenter orientation, trading efficiency for raw power.
These specs translate to real-world efficiency: the L40 handles modern AI pipelines at scales infeasible on the GTX 1070, particularly where VRAM limits constrain the older GPU.
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 |
When to Choose the GTX 1070
The GTX 1070 suits budget-conscious users with local setups for non-demanding tasks. Its 150W TDP enables low-power operation in desktops, ideal for gaming at 1080p resolutions or basic machine learning experiments fitting within 8 GB VRAM. Without cloud pricing needs, it avoids rental costs for hobbyists or legacy software compatibility.
When to Choose the L40
The L40 excels in professional AI deployments requiring high VRAM and compute. Cloud availability from $0.67 per hour across 14 offers provides scalable access for training models beyond 8 GB limits. Its 90.5 TFLOPS and 864 GB/s bandwidth optimize large-scale inference and datacenter workloads.
Use Cases
LLM training demands over 8 GB VRAM for large models; the L40's 48 GB and 90.5 TFLOPS enable efficient scaling, unlike the GTX 1070's limitations.
High-throughput inference benefits from 90.5 TFLOPS and 864 GB/s bandwidth on the L40, supporting larger batches than the GTX 1070's 6.5 TFLOPS and 256 GB/s.
Fine-tuning mid-sized models requires substantial VRAM; 48 GB on the L40 prevents memory bottlenecks, far surpassing the GTX 1070's 8 GB.
Stable Diffusion generation scales with compute and memory; the L40's 90.5 TFLOPS and 48 GB VRAM accelerate high-resolution outputs over the GTX 1070.
Scientific simulations leverage FP32 performance; the L40's 90.5 TFLOPS and higher bandwidth handle complex datasets better than the GTX 1070's 6.5 TFLOPS.
Frequently Asked Questions
How much faster is the L40 than the GTX 1070?▾
The L40 delivers 90.5 TFLOPS in FP16 and FP32, 14 times the GTX 1070's 6.5 TFLOPS. This boosts training and inference speeds significantly for AI tasks.
Can the GTX 1070 handle modern AI workloads?▾
The GTX 1070's 8 GB VRAM limits it to small models, unlike the L40's 48 GB. Its 256 GB/s bandwidth also constrains batch sizes compared to 864 GB/s.
What is the VRAM difference between GTX 1070 and L40?▾
The L40 provides 48 GB GDDR6, six times the GTX 1070's 8 GB GDDR5. This enables larger models without swapping to system memory.
What are the power requirements?▾
The GTX 1070 has a 150W TDP, suitable for consumer PCs. The L40 requires 300W, aligned with datacenter cooling and power infrastructure.
Is the L40 available on cloud platforms?▾
Yes, the L40 offers pricing from $0.67 per hour, averaging $0.89 per hour across 14 providers. The GTX 1070 has no live cloud offers.
Which GPU has higher memory bandwidth?▾
The L40 achieves 864 GB/s, over three times the GTX 1070's 256 GB/s. This improves data-intensive workloads like model loading.
Which is cheaper to rent, the GTX 1070 or the L40?▾
Cloud rental prices for both the GTX 1070 and L40 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 L40?▾
The GTX 1070 has 8 GB of GDDR5 memory. The L40 has 48 GB of GDDR6 memory.
Can I find GTX 1070 and L40 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 L40?▾
The GTX 1070 uses the Pascal architecture (2016) while the L40 uses Ada Lovelace (2023). The L40 delivers 13.9x the FP16 throughput and 3.4x the memory bandwidth of the GTX 1070.