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
The A100's FP16 performance of 312 TFLOPS vastly outpaces the RTX 4060's 15.1 TFLOPS, accelerating deep learning training and inference by over 20 times in half-precision tasks. Its FP32 rate of 19.5 TFLOPS slightly exceeds the RTX 4060's 15.1 TFLOPS, but the FP16-to-FP32 delta on the A100 emphasizes tensor core optimization for AI, whereas the RTX 4060's equal rates support versatile gaming and simulation.
Memory specifications dictate real-world feasibility. The A100's 80 GB HBM2e and 2039 GB/s bandwidth enable massive batch sizes for training large language models, minimizing data transfer bottlenecks. The RTX 4060's 8 GB GDDR6 at 272 GB/s restricts it to smaller models or low-batch inference, often requiring quantization to fit within limits.
Power and form factors influence deployment. The A100's 400W TDP sustains peak output in multi-GPU clusters via NVLink and PCIe 4.0, ideal for datacenters. The RTX 4060's 115W efficiency fits PCIe desktops for cost-effective, single-user workloads.
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 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 PCIe 80GB
The A100 PCIe 80GB suits large-scale AI training and inference where 80 GB HBM2e VRAM accommodates models exceeding 70 billion parameters. Its 2039 GB/s bandwidth handles high-throughput batches without performance loss, critical for enterprise teams. Cloud access at $0.89 per hour average $2.03 per hour across 30 offers enables scalable deployments via NVLink or InfiniBand interconnects.
When to Choose the RTX 4060
The RTX 4060 proves ideal for consumer gaming, personal AI prototyping, or lightweight inference on desktops. Its 115W TDP and 8 GB GDDR6 VRAM support Stable Diffusion image generation or small model fine-tuning at 15.1 TFLOPS FP16 without cloud costs. Local PCIe form factor eliminates rental fees, suiting hobbyists or developers testing Ada Lovelace features.
Use Cases
The A100's 80 GB HBM2e VRAM and 312 TFLOPS FP16 support training large models with billion-parameter scales and high batch sizes. The RTX 4060's 8 GB limits it to tiny datasets.
A100's 2039 GB/s bandwidth enables high-concurrency inference for production servers. RTX 4060's 272 GB/s suits only low-volume queries.
80 GB VRAM on A100 fits full model fine-tuning without offloading. RTX 4060 requires heavy quantization due to 8 GB constraint.
RTX 4060's 15.1 TFLOPS FP16 and Ada architecture generate images efficiently at 115W. A100 overkill for consumer creative tasks.
A100's 19.5 TFLOPS FP32 and NVLink interconnect accelerate simulations. RTX 4060 lacks datacenter scalability.
Frequently Asked Questions
What is the VRAM capacity of A100 PCIe 80GB versus RTX 4060?▾
The A100 PCIe 80GB provides 80 GB HBM2e VRAM. The RTX 4060 offers 8 GB GDDR6. This 10-fold difference impacts large model handling.
How do FP16 performances compare between A100 and RTX 4060?▾
A100 delivers 312 TFLOPS FP16. RTX 4060 achieves 15.1 TFLOPS FP16. A100 excels over 20 times faster in AI acceleration.
What are the memory bandwidth figures for these GPUs?▾
A100 reaches 2039 GB/s with HBM2e. RTX 4060 provides 272 GB/s GDDR6. A100 supports 7.5 times higher data throughput.
What is the cloud pricing for A100 PCIe 80GB?▾
Pricing starts from $0.89 per hour, averaging $2.03 per hour across 30 live offers. RTX 4060 has no live cloud offers.
Which GPU has lower power consumption?▾
RTX 4060 uses 115W TDP. A100 requires 400W TDP. RTX 4060 suits energy-efficient desktops.
Can RTX 4060 replace A100 for AI training?▾
No, due to 8 GB VRAM versus 80 GB and 15.1 TFLOPS FP16 versus 312 TFLOPS. A100 handles enterprise training scales.
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.