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 80GB delivers transformative advantages in compute performance over the GTX 1070, particularly in FP16 workloads critical for AI training. With 312 TFLOPS in FP16 versus the GTX 1070's 6.5 TFLOPS, the A100 accelerates mixed-precision training by approximately 48 times, enabling faster convergence on large neural networks. Its FP32 performance of 19.5 TFLOPS triples the GTX 1070's 6.5 TFLOPS, benefiting general-purpose simulations and inference tasks requiring single-precision arithmetic.
Memory specifications further widen the gap: the A100's 80 GB HBM2e VRAM supports massive batch sizes in deep learning, preventing out-of-memory errors common on the GTX 1070's 8 GB GDDR5. The 2039 GB/s bandwidth, over seven times the GTX 1070's 256 GB/s, reduces bottlenecks during data loading, allowing larger models and higher throughputs in inference pipelines. In real-world terms, this means the A100 handles transformer-based LLMs with billions of parameters, while the GTX 1070 struggles beyond modest datasets.
Power efficiency metrics reveal the A100's 400W TDP sustains peak performance in sustained workloads, contrasting the GTX 1070's 150W for bursty gaming or light compute. These differences translate to the A100 completing training epochs in minutes where the GTX 1070 requires hours.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 80GB
| 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 646GB Storage | Czechia | $1.07/GPU/hr | Available | ||
 Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) |
When to Choose the A100 PCIe 80GB
The A100 PCIe 80GB excels in demanding AI and HPC environments requiring high VRAM and compute density. Professionals training large language models or running scientific simulations choose it for 80 GB HBM2e capacity and 312 TFLOPS FP16, which handle datasets exceeding 8 GB without splitting. Cloud availability at $0.89 per hour average $2.08 makes it ideal for scalable projects over local setups.
When to Choose the GTX 1070
The GTX 1070 suits budget-conscious users with entry-level tasks on local hardware. Its 150W TDP and 8 GB GDDR5 suffice for gaming at 1080p or basic machine learning experiments with small models under 6.5 TFLOPS FP32. Without cloud pricing, it appeals to hobbyists avoiding rental costs for non-intensive workloads like lightweight inference or legacy software.
Use Cases
The A100's 312 TFLOPS FP16 and 80 GB HBM2e VRAM support training billion-parameter models with large batches, far beyond the GTX 1070's 6.5 TFLOPS and 8 GB limits.
High memory bandwidth of 2039 GB/s on the A100 enables low-latency serving of large models, while the GTX 1070's 256 GB/s causes bottlenecks for models over 8 GB.
Fine-tuning requires substantial FP16 compute and VRAM; the A100's 312 TFLOPS and 80 GB outperform the GTX 1070's modest 6.5 TFLOPS and 8 GB.
Generating high-resolution images demands VRAM for large latents; the A100's 80 GB HBM2e handles complex prompts efficiently versus GTX 1070 memory constraints.
Simulations benefit from 19.5 TFLOPS FP32 and NVLink interconnects on the A100, scaling beyond the GTX 1070's single-card 6.5 TFLOPS limits.
Frequently Asked Questions
Is the A100 much faster than GTX 1070 for AI?▾
Yes, the A100 achieves 312 TFLOPS FP16 compared to 6.5 TFLOPS on the GTX 1070, a 48-fold increase ideal for training. Its 80 GB VRAM handles models the 8 GB GTX 1070 cannot load.
What is the VRAM difference between A100 and GTX 1070?▾
The A100 PCIe 80GB provides 80 GB HBM2e VRAM, while the GTX 1070 has 8 GB GDDR5. This tenfold gap allows larger batch sizes and models on the A100.
How does memory bandwidth compare?▾
A100 offers 2039 GB/s bandwidth versus GTX 1070's 256 GB/s, an eightfold advantage. Faster bandwidth reduces data transfer delays in deep learning workloads.
Can GTX 1070 run modern ML models?▾
The GTX 1070's 8 GB VRAM and 6.5 TFLOPS limit it to small models under 6 GB. Larger ones require quantization or CPU offload, slowing performance.
What are A100 cloud prices?▾
NVIDIA A100 PCIe 80GB starts at $0.89 per hour, averaging $2.08 across 28 offers. GTX 1070 has no live cloud availability.
Power consumption: A100 vs GTX 1070?▾
The A100 draws 400W TDP for peak performance, while GTX 1070 uses 150W. A100 suits data centers; GTX 1070 fits low-power desktops.
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.