Specifications Compared
| Spec | A100 | GTX-1070 |
|---|---|---|
| TDP | 400W | 150W |
| VRAM | 40-80 GB | 8 GB |
| CUDA Cores | 6,912 | 1,920 |
| Memory Type | HBM2e | GDDR5 |
| Architecture | Ampere | Pascal |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | |
| FP16 Performance | 312 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 6.5 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 256 GB/s |
Performance Analysis
The A100 PCIe 40GB vastly outperforms the GTX 1070 Ti in compute capabilities: its 312 TFLOPS FP16 dwarfs the 1070 Ti's 11.3 TFLOPS, enabling faster training and inference for half-precision models common in deep learning. FP32 performance of 19.5 TFLOPS on the A100 exceeds the 1070 Ti's 11.3 TFLOPS, benefiting single-precision scientific simulations. This delta translates to the A100 completing large-scale neural network training in minutes where the 1070 Ti requires hours. Memory differences are stark: 40 GB HBM2e versus 8 GB GDDR5 allows the A100 to process models with billions of parameters without swapping, while the 1070 Ti limits users to small batch sizes or low-resolution tasks. The A100's 2039 GB/s bandwidth supports massive data throughput for inference at scale, compared to the 1070 Ti's 256 GB/s which bottlenecks large datasets. Overall, these specs position the A100 for production AI, while the 1070 Ti suits hobbyist prototyping.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 40GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
 LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 557GB Storage | Czechia | $1.00/GPU/hr | Available | ||
 Denvr | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 512GB RAM 7600GB Storage | Virginia | $1.15/GPU/hr $4.60/hr total (4×) |
When to Choose the A100 PCIe 40GB
The A100 PCIe 40GB excels in professional AI development and deployment. It handles large language model training with its 40 GB VRAM and 312 TFLOPS FP16, supporting batch sizes impossible on 8 GB cards. Cloud access at $0.60 per hour makes it ideal for scalable inference without upfront hardware costs.
When to Choose the GTX 1070 Ti
The GTX 1070 Ti fits budget-conscious hobbyists or legacy gaming setups. Its 180 W TDP and 8 GB VRAM suffice for light fine-tuning or Stable Diffusion at low resolutions, especially on existing desktop systems. With no cloud pricing, it appeals for on-premises use where acquisition cost is under $200 used.
Use Cases
The A100's 40 GB VRAM and 312 TFLOPS FP16 handle massive models and large batches. The 1070 Ti's 8 GB limits it to toy datasets.
A100's 2039 GB/s bandwidth supports high-throughput serving. GTX 1070 Ti's 256 GB/s causes delays with even modest models.
A100's 19.5 TFLOPS FP32 accelerates parameter-efficient tuning on large models. 1070 Ti's 11.3 TFLOPS suits only small adapters.
GTX 1070 Ti generates 512x512 images adequately with 8 GB VRAM. A100 scales to higher resolutions and batch sizes via 40 GB.
A100's 19.5 TFLOPS FP32 and HBM2e excel in simulations. 1070 Ti's equivalent 11.3 TFLOPS lacks memory for complex datasets.
Frequently Asked Questions
How much faster is the A100 PCIe 40GB than GTX 1070 Ti in FP16?▾
The A100 delivers 312 TFLOPS FP16 versus the 1070 Ti's 11.3 TFLOPS, a 27.6 times advantage. This accelerates deep learning training significantly.
What is the VRAM capacity of A100 PCIe 40GB versus GTX 1070 Ti?▾
A100 PCIe 40GB has 40 GB HBM2e, while GTX 1070 Ti offers 8 GB GDDR5. The difference enables larger models on A100.
Can GTX 1070 Ti run modern AI workloads?▾
GTX 1070 Ti's 8 GB VRAM and 11.3 TFLOPS FP32 limit it to small-scale tasks. A100's 40 GB and 312 TFLOPS FP16 are required for production.
What are the power requirements for these GPUs?▾
A100 PCIe 40GB has a 400 W TDP for data center use. GTX 1070 Ti consumes 180 W, suitable for consumer desktops.
Is there cloud pricing for GTX 1070 Ti?▾
No live cloud offers exist for GTX 1070 Ti. A100 PCIe 40GB starts at $0.60 per hour across 11 providers.
Which has higher memory bandwidth?▾
A100 PCIe 40GB provides 2039 GB/s with HBM2e. GTX 1070 Ti offers 256 GB/s with GDDR5, an eightfold gap.
Which is cheaper to rent, the A100 or the GTX 1070?▾
Cloud rental prices for both the A100 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 A100 have compared to the GTX 1070?▾
The A100 has 40 to 80 GB of HBM2e memory. The GTX 1070 has 8 GB of GDDR5 memory.
Can I find A100 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 A100 and the GTX 1070?▾
The A100 uses the Ampere architecture (2020) while the GTX 1070 uses Pascal (2016). The A100 delivers 48.0x the FP16 throughput and 8.0x the memory bandwidth of the GTX 1070.