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 training efficiency: the A100's 312 TFLOPS processes deep learning batches far quicker than the RTX 4060's 15.1 TFLOPS, ideal for mixed-precision optimization in large models. The A100's FP32 at 19.5 TFLOPS supports precise scientific tasks, while the RTX 4060 matches only 15.1 TFLOPS, limiting high-accuracy workloads. This gap accelerates A100 training cycles by over 20 times in FP16-heavy scenarios.
VRAM and bandwidth dictate model scale: 80 GB on the A100 handles enormous batch sizes without offloading, unlike the RTX 4060's 8 GB constraint for tiny models only. The 2039 GB/s bandwidth minimizes latency in data transfers versus 272 GB/s, boosting inference throughput on memory-bound tasks like LLMs.
TDP contrasts efficiency: A100 at 400W powers dense clusters, RTX 4060 at 115W fits low-power local setups.
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 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 557GB Storage | Czechia | $1.00/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 SXM4 80GB
Select the A100 SXM4 80GB for demanding AI workloads like large LLM training or multi-GPU scientific simulations. Its 80 GB HBM2e VRAM and 2039 GB/s bandwidth support batch sizes infeasible on consumer cards, with NVLink enabling scaling. Cloud availability from $0.45/hr makes it viable for production at average $1.39/hr.
Enterprise teams prioritize it over consumer GPUs for reliability in InfiniBand-connected clusters.
When to Choose the RTX 4060
The RTX 4060 suits budget gaming, local Stable Diffusion, or lightweight inference under 8 GB VRAM. Its 115W TDP and Ada Lovelace efficiency enable desktop use without datacenter infrastructure. Lacking cloud offers, it appeals for personal projects avoiding A100's 400W draw and hourly costs.
Use Cases
A100's 312 TFLOPS FP16 and 80 GB VRAM manage massive datasets and large batches. RTX 4060's 8 GB GDDR6 limits scale severely.
A100's 2039 GB/s bandwidth sustains high-throughput serving of large models. RTX 4060's 272 GB/s bottlenecks even medium inference.
80 GB HBM2e on A100 fits full model checkpoints without truncation. 8 GB on RTX 4060 requires heavy quantization.
RTX 4060's 15.1 TFLOPS FP16 handles 512x512 generations adequately at 115W. A100 overkill for consumer image tasks.
A100's 19.5 TFLOPS FP32 and NVLink excel in simulations. RTX 4060 lacks interconnects for distributed jobs.
Frequently Asked Questions
Does A100 outperform RTX 4060 in AI training?▾
Yes, A100's 312 TFLOPS FP16 crushes RTX 4060's 15.1 TFLOPS for faster epochs. 80 GB VRAM versus 8 GB enables larger models without issues.
What is the VRAM difference between A100 SXM4 80GB and RTX 4060?▾
A100 offers 80 GB HBM2e, RTX 4060 has 8 GB GDDR6. This allows A100 to load 10x larger models directly.
RTX 4060 cloud pricing on gpuperhour.com?▾
No live offers exist for RTX 4060 currently. A100 SXM4 80GB starts at $0.45/hr with average $1.39/hr across 25 providers.
Is RTX 4060 more power efficient than A100?▾
RTX 4060 draws 115W TDP versus A100's 400W. It suits desktops, A100 fits rack-scale deployments.
A100 memory bandwidth vs RTX 4060?▾
A100 reaches 2039 GB/s, RTX 4060 at 272 GB/s. Higher bandwidth reduces stalls in training and inference.
Can RTX 4060 handle LLM inference?▾
Only small models under 8 GB VRAM work on RTX 4060 at 15.1 TFLOPS. A100's 80 GB supports production LLMs seamlessly.
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.