Specifications Compared
| Spec | A100 | RTX-5070 |
|---|---|---|
| TDP | 400W | 250W |
| VRAM | 40-80 GB | 12 GB |
| CUDA Cores | 6,912 | 6,144 |
| Memory Type | HBM2e | GDDR7 |
| Architecture | Ampere | Blackwell |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 192 |
| FP16 Performance | 312 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 40.6 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | 650 TOPS |
| Memory Bandwidth | 2,039 GB/s | 448 GB/s |
Performance Analysis
FP16 performance defines a key divide: the A100 SXM4 80GB delivers 312 TFLOPS, enabling rapid training and inference for deep learning models that rely on half-precision arithmetic, while the RTX 5070 Ti manages only 40.6 TFLOPS. This gap accelerates A100 in transformer-based workloads by roughly 7.7 times in raw throughput.
FP32 performance reverses the trend, with RTX 5070 Ti at 40.6 TFLOPS exceeding A100's 19.5 TFLOPS, suiting graphics rendering or legacy scientific codes. Memory bandwidth further favors A100 at 2039 GB/s over 448 GB/s, supporting larger batch sizes in memory-bound tasks like large language model inference without VRAM exhaustion on 80 GB versus 12 GB.
Power efficiency tilts toward RTX 5070 Ti's 250W TDP, reducing operational costs in prolonged light workloads, though A100's SXM4 form factor and NVLink interconnect enable scalable multi-GPU clusters.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 80GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 397GB Storage | Slovenia | $0.73/GPU/hr | 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 | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 126GB RAM 1114GB Storage | Czechia | $1.00/GPU/hr $2.00/hr total (2×) | 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×) | |||
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 SXM4 80GB
Select the NVIDIA A100 SXM4 80GB for large-scale machine learning training where 80 GB HBM2e VRAM accommodates models exceeding 12 GB GDDR7 on the RTX 5070 Ti. Its 2039 GB/s bandwidth and NVLink support larger batches and multi-GPU scaling in enterprise environments.
When to Choose the RTX 5070 Ti
Choose the NVIDIA GeForce RTX 5070 Ti for gaming, real-time rendering, or lightweight AI inference with small models fitting in 12 GB VRAM. Its lower average cloud pricing of $0.19 per hour and 250W TDP offer superior value for consumer or development tasks versus A100's $1.35 per hour average.
Use Cases
The A100 SXM4 80GB's 80 GB VRAM and 312 TFLOPS FP16 support training massive LLMs that exceed the RTX 5070 Ti's 12 GB capacity. Its 2039 GB/s bandwidth enables efficient large-batch processing.
A100 handles high-concurrency inference for large models with 80 GB VRAM, outperforming RTX 5070 Ti's 12 GB limit. Bandwidth of 2039 GB/s sustains larger batches without bottlenecks.
Fine-tuning benefits from A100's 312 TFLOPS FP16 and 80 GB VRAM for parameter-heavy models. RTX 5070 Ti's 40.6 TFLOPS proves insufficient for complex adaptations.
RTX 5070 Ti excels in image generation with 40.6 TFLOPS FP32 and 12 GB VRAM suiting typical Stable Diffusion pipelines. Lower $0.19 per hour pricing enhances accessibility.
A100's 2039 GB/s bandwidth and NVLink interconnect accelerate simulations requiring high memory throughput. Its 80 GB VRAM supports extensive datasets beyond RTX 5070 Ti limits.
Frequently Asked Questions
Which GPU has more VRAM?▾
The NVIDIA A100 SXM4 80GB provides 80 GB HBM2e VRAM, far exceeding the NVIDIA GeForce RTX 5070 Ti's 12 GB GDDR7. This capacity suits large AI models on A100. RTX 5070 Ti handles smaller workloads efficiently.
What is the memory bandwidth difference?▾
A100 SXM4 80GB offers 2039 GB/s bandwidth compared to RTX 5070 Ti's 448 GB/s. Higher bandwidth on A100 supports larger batch sizes in training. RTX 5070 Ti suffices for lighter inference.
How do cloud prices compare?▾
A100 SXM4 80GB starts at $0.13 per hour averaging $1.35 per hour across 29 offers. RTX 5070 Ti starts at $0.10 per hour averaging $0.19 per hour across 2 offers. RTX provides better value for casual use.
Which has higher FP16 performance?▾
A100 SXM4 80GB achieves 312 TFLOPS FP16, versus 40.6 TFLOPS on RTX 5070 Ti. This boosts A100 in AI training speed. RTX 5070 Ti matches in FP32 at 40.6 TFLOPS.
What are the power consumption levels?▾
A100 SXM4 80GB has a 400W TDP, while RTX 5070 Ti uses 250W. Lower TDP on RTX reduces cooling needs in consumer setups. A100 suits datacenter power infrastructure.
Can these GPUs scale in clusters?▾
A100 SXM4 80GB supports NVLink and InfiniBand for multi-GPU clusters. RTX 5070 Ti relies on PCIe without advanced interconnects. A100 excels in distributed training.
Which is cheaper to rent, the A100 or the RTX 5070?▾
Cloud rental prices for both the A100 and RTX 5070 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 RTX 5070?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find A100 and RTX 5070 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 RTX 5070?▾
The A100 uses the Ampere architecture (2020) while the RTX 5070 uses Blackwell (2025). The A100 delivers 7.7x the FP16 throughput and 4.6x the memory bandwidth of the RTX 5070.