Specifications Compared
| Spec | A100 | T4 |
|---|---|---|
| TDP | 400W | 70W |
| VRAM | 40-80 GB | 16 GB |
| CUDA Cores | 6,912 | 2,560 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Turing |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 320 |
| FP16 Performance | 312 TFLOPS | 8.1 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 8.1 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | 130 TOPS |
| Memory Bandwidth | 2,039 GB/s | 320 GB/s |
Performance Analysis
The A100's FP16 performance of 312 TFLOPS dwarfs the T4's 8.1 TFLOPS, providing approximately 38 times the throughput for mixed-precision training common in deep learning. This disparity accelerates model convergence in large-scale neural networks, where FP16 reduces memory usage without substantial accuracy loss. In FP32, the A100's 19.5 TFLOPS more than doubles the T4's 8.1 TFLOPS, benefiting simulations and precision-sensitive computations.
Memory specifications define practical limits: the A100's 80 GB HBM2e VRAM and 2039 GB/s bandwidth support batch sizes up to five times larger than the T4's 16 GB GDDR6 and 320 GB/s, minimizing data loading bottlenecks during inference on transformer models. For inference workloads, higher bandwidth on the A100 sustains higher token rates, crucial for real-time applications.
Power consumption influences deployment: the A100's 400W TDP demands robust cooling and higher electricity costs, yet yields superior efficiency per watt in compute-intensive tasks at 0.78 TFLOPS per watt in FP16 versus the T4's 0.116 TFLOPS per watt. The T4 suits low-latency inference where its PCIe form factor and modest power enable dense server packing.
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×) |
Tesla T4
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 4 vCPU 16GB RAM | Virginia | $0.53/GPU/hr | |||
AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 8 vCPU 32GB RAM | Virginia | $0.75/GPU/hr | |||
AWS | 4×NVIDIA Tesla T4 16GB VRAM | 16GB | 48 vCPU 192GB RAM | Virginia | $0.98/GPU/hr $3.91/hr total (4×) | |||
AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 16 vCPU 64GB RAM | Virginia | $1.20/GPU/hr | |||
AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 32 vCPU 128GB RAM | Virginia | $2.18/GPU/hr |
When to Choose the A100 PCIe 80GB
Opt for the A100 PCIe 80GB in scenarios requiring massive VRAM, such as training large language models exceeding 16 GB or fine-tuning billion-parameter networks. Its 2039 GB/s bandwidth and 312 TFLOPS FP16 performance enable handling batch sizes that would fragment on the T4, reducing training time from days to hours.
Enterprise AI pipelines with NVLink interconnects benefit from the A100's multi-GPU scaling via PCIe 4.0, ideal for distributed training across 28 cloud offers starting at $0.89 per hour.
When to Choose the Tesla T4
Select the T4 for cost-sensitive inference on smaller models under 16 GB, where its 8.1 TFLOPS FP16 suffices for real-time computer vision or lightweight NLP tasks. The 70W TDP allows high-density deployments, lowering operational costs compared to the A100's 400W draw.
Budget cloud users favor the T4's pricing from $0.53 per hour across 6 offers, perfect for development testing or edge inference without NVLink needs.
Use Cases
The A100's 80 GB HBM2e VRAM and 312 TFLOPS FP16 handle massive parameter counts and large batches infeasible on the T4's 16 GB GDDR6.
A100's 2039 GB/s bandwidth supports high-throughput serving of models over 16 GB, while T4 limits scale to smaller deployments.
With 19.5 TFLOPS FP32 and ample VRAM, A100 accelerates gradient updates on customized large models beyond T4's 8.1 TFLOPS capacity.
A100's superior FP16 performance and memory enable faster generation of high-resolution images compared to T4's constraints.
T4's 8.1 TFLOPS FP32 suits lighter simulations, but A100's 19.5 TFLOPS excels in complex HPC workloads requiring high bandwidth.
Frequently Asked Questions
Is A100 or T4 better for LLM training?▾
The A100 outperforms with 312 TFLOPS FP16 and 80 GB VRAM versus T4's 8.1 TFLOPS and 16 GB, enabling training of models over 70B parameters. T4 cannot handle such scales efficiently.
What is the memory bandwidth difference between A100 and T4?▾
A100 provides 2039 GB/s with HBM2e, over six times the T4's 320 GB/s GDDR6. This allows larger batch sizes and faster data transfers in ML pipelines.
How do A100 and T4 compare in cloud pricing?▾
A100 PCIe 80GB starts at $0.89 per hour averaging $2.08 across 28 offers, while T4 begins at $0.53 per hour averaging $1.66 across 6 offers. T4 offers better value for light inference.
Can T4 handle Stable Diffusion?▾
T4's 16 GB VRAM and 8.1 TFLOPS FP16 support basic Stable Diffusion at low resolutions, but A100's 80 GB and 312 TFLOPS generate higher quality outputs faster.
What is the power consumption of A100 vs T4?▾
A100 draws 400W TDP, suitable for high-end servers, compared to T4's efficient 70W. T4 enables denser cloud instances with lower cooling needs.
Which GPU has better FP32 performance?▾
A100 delivers 19.5 TFLOPS FP32, more than double T4's 8.1 TFLOPS. This benefits scientific computing and single-precision tasks on A100.
Which is cheaper to rent, the A100 or the T4?▾
Cloud rental prices for both the A100 and T4 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 T4?▾
The A100 has 40 to 80 GB of HBM2e memory. The T4 has 16 GB of GDDR6 memory.
Can I find A100 and T4 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 T4?▾
The A100 uses the Ampere architecture (2020) while the T4 uses Turing (2018). The A100 delivers 38.5x the FP16 throughput and 6.4x the memory bandwidth of the T4.