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
Memory capacity defines a key divide: the A100 PCIe 80GB's 80 GB HBM2e supports massive models and batch sizes that exceed the RTX 4060 Ti's 8 GB GDDR6 limit. This gap manifests in training large language models, where the A100 handles datasets without swapping, while the RTX 4060 Ti requires model sharding or quantization. Bandwidth reinforces this: 2039 GB/s on the A100 enables rapid data movement versus 272 GB/s on the RTX 4060 Ti, reducing bottlenecks in memory-intensive operations.
Compute throughput favors the A100 for mixed-precision training: its 312 TFLOPS FP16 vastly outpaces the RTX 4060 Ti's 15.1 TFLOPS, accelerating gradient computations. FP32 parity exists at 19.5 TFLOPS for the A100 and 15.1 TFLOPS for the RTX 4060 Ti, but the A100's edge suits scientific simulations. Power draw differs at 400W TDP for the A100 versus 115W for the RTX 4060 Ti, impacting density in cloud deployments. Inference benefits from the RTX 4060 Ti's efficiency for smaller batches, yet the A100 excels in high-throughput scenarios.
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×) |
When to Choose the A100 PCIe 80GB
The A100 PCIe 80GB suits enterprise-scale AI training and inference: its 80 GB VRAM and 2039 GB/s bandwidth manage models exceeding 8 GB, such as large LLMs. NVLink and InfiniBand interconnects enable multi-GPU scaling unavailable on the RTX 4060 Ti, ideal for distributed workloads. At $0.89 per hour starting price, it justifies costs for production environments demanding 312 TFLOPS FP16.
When to Choose the RTX 4060 Ti
The RTX 4060 Ti fits budget-conscious prototyping and inference: 8 GB VRAM handles small-to-medium models at $0.08 per hour. Its 115W TDP and Ada Lovelace architecture provide 15.1 TFLOPS FP16/FP32 efficiency for tasks like lightweight fine-tuning or gaming-assisted compute. Low availability across 6 offers suits sporadic, cost-sensitive use.
Use Cases
The A100 PCIe 80GB's 80 GB HBM2e VRAM and 312 TFLOPS FP16 support full-scale training of large models without partitioning. The RTX 4060 Ti's 8 GB limit restricts batch sizes severely.
The RTX 4060 Ti delivers 15.1 TFLOPS FP16 at $0.08 per hour for serving smaller quantized models efficiently. The A100 excels only if high concurrency or massive context exceeds 8 GB.
A100's 2039 GB/s bandwidth and 80 GB VRAM accelerate dataset processing during fine-tuning of parameter-heavy models. RTX 4060 Ti struggles with memory overflows on datasets over 8 GB.
RTX 4060 Ti's Ada Lovelace optimizations and 272 GB/s bandwidth generate images quickly at low $0.14 per hour average cost. A100's power draw offers no advantage for single-user creative tasks.
A100 provides 19.5 TFLOPS FP32 and NVLink for simulations requiring high precision and multi-GPU coordination. RTX 4060 Ti's 15.1 TFLOPS FP32 falls short for complex HPC workloads.
Frequently Asked Questions
Which GPU has more VRAM: A100 PCIe 80GB or RTX 4060 Ti?▾
The A100 PCIe 80GB offers 80 GB HBM2e VRAM, far exceeding the RTX 4060 Ti's 8 GB GDDR6. This enables larger models on the A100. Bandwidth follows suit at 2039 GB/s versus 272 GB/s.
What is the cloud pricing difference between A100 PCIe 80GB and RTX 4060 Ti?▾
A100 PCIe 80GB starts at $0.89 per hour with $2.03 average across 30 offers. RTX 4060 Ti begins at $0.08 per hour with $0.14 average across 6 offers. The gap suits budget inference on the Ti.
Is the A100 better for AI training than RTX 4060 Ti?▾
Yes, A100's 312 TFLOPS FP16 crushes RTX 4060 Ti's 15.1 TFLOPS for training acceleration. Its 80 GB VRAM prevents out-of-memory errors on large datasets. Consumer GPUs like the Ti limit scale.
How do TDP ratings compare for A100 PCIe 80GB and RTX 4060 Ti?▾
A100 PCIe 80GB consumes 400W TDP, demanding robust cooling. RTX 4060 Ti uses 115W, enabling dense cloud packing. Efficiency favors the Ti for light loads.
Which architecture is newer: Ampere or Ada Lovelace?▾
Ada Lovelace powers the RTX 4060 Ti from 2023, postdating Ampere in the A100 from 2020. Yet A100's datacenter focus yields superior 2039 GB/s bandwidth over 272 GB/s. Newer does not mean better for all tasks.
Can RTX 4060 Ti handle large model inference like A100?▾
RTX 4060 Ti manages inference up to 8 GB models at 15.1 TFLOPS FP16. A100 PCIe 80GB scales to 80 GB contexts with 312 TFLOPS. Use Ti for quantized small LLMs only.
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.


