Specifications Compared
| Spec | A100 | RTX-4060 |
|---|---|---|
| TDP | 400W | 115W |
| VRAM | 40-80 GB | 8 GB |
| CUDA Cores | 6,912 | 3,072 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 96 |
| FP16 Performance | 312 TFLOPS | 15.1 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 15.1 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | 242 TOPS |
| Memory Bandwidth | 2,039 GB/s | 272 GB/s |
Performance Analysis
FP16 performance defines a clear divide: the A100 SXM4 40GB achieves 312 TFLOPS while the RTX 4060 Ti reaches 15.1 TFLOPS. This 20x advantage accelerates neural network training on the A100, enabling faster iterations on complex models. For inference, the A100 handles high-throughput demands, but the RTX 4060 Ti suffices for smaller deployments.
Memory bandwidth impacts batch sizes directly: 2039 GB/s on the A100 supports large batches without bottlenecks, ideal for training large language models. The RTX 4060 Ti's 272 GB/s restricts it to smaller batches, increasing latency in memory-bound tasks. FP32 performance shows the A100 at 19.5 TFLOPS slightly ahead of the RTX 4060 Ti's 15.1 TFLOPS, benefiting scientific simulations.
Power draw reflects capabilities: the A100's 400W TDP suits sustained datacenter loads, while the RTX 4060 Ti's 115W enables efficient consumer or edge use.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 40GB
| 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 40GB
Choose the NVIDIA A100 SXM4 40GB for large-scale AI training and inference. Its 40 GB HBM2e VRAM accommodates models exceeding 8 GB, such as billion-parameter LLMs. The 2039 GB/s bandwidth and 312 TFLOPS FP16 ensure rapid processing of massive datasets.
Datacenter environments with NVLink and InfiniBand interconnects favor the A100 for multi-GPU scaling.
When to Choose the RTX 4060 Ti
The NVIDIA GeForce RTX 4060 Ti fits budget-conscious inference and creative tasks. At $0.08 per hour minimum, it delivers 15.1 TFLOPS FP16 for Stable Diffusion or small model serving cost-effectively.
Low TDP of 115W and PCIe form factor suit lightweight cloud instances or gaming workloads.
Use Cases
The A100's 312 TFLOPS FP16 and 40 GB VRAM enable training of large models. The RTX 4060 Ti's 8 GB VRAM cannot handle equivalent scales.
A100's 2039 GB/s bandwidth supports high-throughput inference with large batches. RTX 4060 Ti suits only small models due to 272 GB/s limit.
40 GB VRAM on A100 fits full model fine-tuning. RTX 4060 Ti requires heavy quantization with 8 GB.
RTX 4060 Ti's 15.1 TFLOPS FP16 generates images efficiently at $0.08 per hour. A100 overkill for single-user generation.
A100's 19.5 TFLOPS FP32 and NVLink scaling accelerate simulations. RTX 4060 Ti lacks interconnects for clusters.
Frequently Asked Questions
What is the VRAM difference between A100 SXM4 40GB and RTX 4060 Ti?▾
The A100 SXM4 40GB has 40 GB HBM2e VRAM. The RTX 4060 Ti offers 8 GB GDDR6. This allows A100 to load larger models without swapping.
Which GPU has higher FP16 performance?▾
The A100 SXM4 40GB delivers 312 TFLOPS FP16. The RTX 4060 Ti provides 15.1 TFLOPS. A100 excels in AI acceleration.
How do cloud prices compare?▾
A100 SXM4 40GB starts at $1.00 per hour average $2.63 per hour across 5 offers. RTX 4060 Ti starts at $0.08 per hour average $0.14 per hour across 6 offers.
What is the memory bandwidth gap?▾
A100 SXM4 40GB achieves 2039 GB/s. RTX 4060 Ti reaches 272 GB/s. Higher bandwidth on A100 boosts batch processing.
Which is better for LLM training?▾
A100 SXM4 40GB with 40 GB VRAM and 312 TFLOPS FP16 is superior. RTX 4060 Ti's 8 GB limits model size.
What are the TDP ratings?▾
A100 SXM4 40GB has 400W TDP for datacenter use. RTX 4060 Ti uses 115W for efficiency.
Which is cheaper to rent, the A100 or the RTX 4060?▾
Cloud rental prices for both the A100 and RTX 4060 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 4060?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 4060 has 8 GB of GDDR6 memory.
Can I find A100 and RTX 4060 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 4060?▾
The A100 uses the Ampere architecture (2020) while the RTX 4060 uses Ada Lovelace (2023). The A100 delivers 20.7x the FP16 throughput and 7.5x the memory bandwidth of the RTX 4060.


