Specifications Compared
| Spec | A40 | GTX-1070 |
|---|---|---|
| TDP | 300W | 150W |
| VRAM | 48 GB | 8 GB |
| CUDA Cores | 10,752 | 1,920 |
| Memory Type | GDDR6 | GDDR5 |
| Architecture | Ampere | Pascal |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 336 | |
| FP16 Performance | 37.4 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 37.4 TFLOPS | 6.5 TFLOPS |
| FP64 Performance | 0.6 TFLOPS | |
| INT8 Performance | 299 TOPS | |
| Memory Bandwidth | 696 GB/s | 256 GB/s |
Performance Analysis
The A40 outperforms the GTX 1070 Ti by a factor of 4.2 in raw compute: 37.4 TFLOPS FP16 and FP32 versus 8.9 TFLOPS. This delta translates to faster model training and inference, particularly in deep learning where FP16 mixed precision accelerates iterations without accuracy loss. Both GPUs maintain equal FP16 and FP32 rates, but the A40's Ampere tensor cores provide additional efficiency gains in modern frameworks. Memory capacity defines the real-world divide: the A40's 48 GB GDDR6 supports batch sizes up to six times larger than the 1070 Ti's 8 GB GDDR5 limit, reducing per-iteration overhead in training large language models. Bandwidth reinforces this: 696 GB/s on the A40 sustains high throughput for memory-intensive operations, compared to 256 GB/s on the 1070 Ti, which bottlenecks larger batches sooner. Power draw reflects capability: the A40's 300W TDP demands robust cooling, while the 1070 Ti's 180W suits compact setups.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A40
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.08/GPU/hr | Available | ||
 Vast.ai | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 80 vCPU 201GB RAM 1698GB Storage | United Kingdom | $0.15/GPU/hr $1.17/hr total (8×) | Available | ||
 Hyperstack | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Available | ||
Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available |
When to Choose the A40
Select the A40 for AI training, inference, or scientific simulations requiring over 8 GB VRAM. Its 48 GB capacity handles large models like those with billions of parameters, and 696 GB/s bandwidth ensures efficient data flow. Cloud pricing starts at $0.24 per hour across 23 offers, averaging $1.31 per hour, making it viable for production-scale workloads.
When to Choose the GTX 1070 Ti
Choose the GTX 1070 Ti for legacy gaming, lightweight inference, or hobbyist projects on local hardware. Its 8 GB VRAM and 8.9 TFLOPS suffice for small models or real-time rendering, with a lower 180W TDP enabling easier integration into consumer PCs. No current cloud offers exist, favoring on-premise use where upfront costs are sunk.
Use Cases
The A40's 48 GB VRAM supports large language models that exceed the GTX 1070 Ti's 8 GB limit. Its 37.4 TFLOPS FP16 performance accelerates training cycles significantly over 8.9 TFLOPS.
Inference on large models benefits from the A40's 696 GB/s bandwidth for high throughput. The 1070 Ti's 256 GB/s and 8 GB VRAM constrain batch sizes and model sizes.
Fine-tuning demands substantial VRAM for gradients: 48 GB on the A40 versus 8 GB on the 1070 Ti. Compute superiority of 37.4 TFLOPS reduces iteration time.
Stable Diffusion scales with VRAM for higher resolutions: A40's 48 GB enables complex generations. The 1070 Ti's 8 GB limits output quality and speed.
Simulations require high FP32 throughput and memory: A40's 37.4 TFLOPS and 48 GB outperform the 1070 Ti's 8.9 TFLOPS and 8 GB for large datasets.
Frequently Asked Questions
Which has more VRAM: A40 or GTX 1070 Ti?▾
The A40 provides 48 GB GDDR6 VRAM, six times the GTX 1070 Ti's 8 GB GDDR5. This enables larger models and batch sizes on the A40. Bandwidth also favors the A40 at 696 GB/s over 256 GB/s.
How do FP32 performance numbers compare?▾
The A40 delivers 37.4 TFLOPS FP32, outperforming the GTX 1070 Ti's 8.9 TFLOPS by 4.2 times. This gap accelerates compute-heavy tasks like training. FP16 matches these rates on both GPUs.
What is the power consumption difference?▾
The A40 has a 300W TDP, higher than the GTX 1070 Ti's 180W. This reflects the A40's greater capability for sustained workloads. Cooling requirements scale accordingly.
Is the A40 available on cloud platforms?▾
Current cloud pricing for the A40 starts at $0.24 per hour, averaging $1.31 per hour across 23 offers. The GTX 1070 Ti has no live cloud offers. Enterprise users prefer the A40 for scalability.
Which architecture is newer?▾
The A40 uses Ampere from 2020, while the GTX 1070 Ti relies on Pascal from 2017. Ampere includes NVLink interconnect absent on the 1070 Ti. This generational leap boosts multi-GPU efficiency.
Can the GTX 1070 Ti handle AI workloads?▾
The GTX 1070 Ti's 8 GB VRAM and 8.9 TFLOPS suit small-scale AI inference or fine-tuning. Larger tasks exceed its limits, favoring the A40's 48 GB and 37.4 TFLOPS.
Which is cheaper to rent, the A40 or the GTX 1070?▾
Cloud rental prices for both the A40 and GTX 1070 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 A40 have compared to the GTX 1070?▾
The A40 has 48 GB of GDDR6 memory. The GTX 1070 has 8 GB of GDDR5 memory.
Can I find A40 and GTX 1070 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 A40 and the GTX 1070?▾
The A40 uses the Ampere architecture (2020) while the GTX 1070 uses Pascal (2016). The A40 delivers 5.8x the FP16 throughput and 2.7x the memory bandwidth of the GTX 1070.