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 reaches 312 TFLOPS, enabling rapid AI training where half-precision tensor operations accelerate matrix multiplications by over 20 times compared to the RTX 4060's 15.1 TFLOPS. Its FP32 rate of 19.5 TFLOPS supports general simulations marginally better than the RTX 4060's 15.1 TFLOPS, but the A100 excels in mixed-precision workflows common in deep learning. For inference, the A100 handles larger models without quantization due to 40 GB VRAM, sustaining high throughput via 2039 GB/s bandwidth.
Memory bandwidth profoundly impacts real-world usage: the A100's 2039 GB/s permits batch sizes up to 10 times larger than the RTX 4060's 272 GB/s limit, reducing training epochs for datasets over 8 GB. The RTX 4060 suits small-batch inference where its Ada efficiency shines, but bottlenecks emerge in VRAM-constrained scenarios. Power draw of 400W on the A100 demands robust cooling, while 115W on the RTX 4060 enables dense deployments.
Interconnect advantages favor the A100: NVLink and PCIe 4.0 enable 600 GB/s GPU-to-GPU transfers, ideal for distributed training, absent on the RTX 4060.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 40GB
| 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 40GB
Enterprise AI training mandates the A100 PCIe 40GB: models requiring over 8 GB VRAM, such as large LLMs, fit entirely in its 40 GB HBM2e, avoiding multi-GPU complexity. The 312 TFLOPS FP16 rate cuts training time significantly, and 2039 GB/s bandwidth supports massive batches without I/O stalls. Multi-node setups leverage NVLink for scaling beyond single-GPU limits.
Scientific computing benefits from the A100's 19.5 TFLOPS FP32 and InfiniBand compatibility, handling simulations with datasets exceeding RTX 4060 capacities.
When to Choose the RTX 4060
Lightweight inference and gaming favor the RTX 4060: small models under 8 GB VRAM run efficiently on its 15.1 TFLOPS FP16 with Ada Lovelace optimizations. The 115W TDP minimizes cloud operational costs compared to the A100's 400W draw.
Consumer creative tasks like basic Stable Diffusion thrive on the RTX 4060's 272 GB/s bandwidth for 1080p resolutions, where its PCIe form factor integrates easily without datacenter infrastructure.
Use Cases
LLM training demands over 40 GB VRAM for full model loading and 312 TFLOPS FP16 for accelerated convergence, capabilities the A100 provides over the RTX 4060's 8 GB and 15.1 TFLOPS.
Large LLMs require 40 GB VRAM and 2039 GB/s bandwidth for high-throughput batch inference; the RTX 4060's 8 GB limits it to tiny models.
Fine-tuning mid-sized models needs 40 GB VRAM to avoid gradient checkpointing and 312 TFLOPS FP16 for efficiency, surpassing RTX 4060 constraints.
Stable Diffusion at standard resolutions fits in 8 GB GDDR6 with 15.1 TFLOPS FP16 sufficient for fast generation; RTX 4060's lower 115W TDP suits casual use.
Simulations leverage the A100's 19.5 TFLOPS FP32 and NVLink for multi-GPU parallelism, handling large datasets beyond RTX 4060's 272 GB/s bandwidth.
Frequently Asked Questions
Which GPU has more VRAM: A100 PCIe 40GB or RTX 4060?▾
The A100 PCIe 40GB provides 40 GB HBM2e VRAM, five times the RTX 4060's 8 GB GDDR6. This enables the A100 to load massive AI models without swapping. The RTX 4060 suits smaller workloads under 8 GB.
What is the FP16 performance difference between A100 and RTX 4060?▾
The A100 delivers 312 TFLOPS FP16, over 20 times the RTX 4060's 15.1 TFLOPS. This gap accelerates AI training on the A100. Inference benefits similarly for half-precision tasks.
How do memory bandwidths compare for A100 vs RTX 4060?▾
A100 bandwidth reaches 2039 GB/s, nearly eight times the RTX 4060's 272 GB/s. Higher bandwidth on A100 supports larger batch sizes in training. RTX 4060 suffices for low-data tasks.
What are the power requirements of these GPUs?▾
The A100 consumes 400W TDP, requiring datacenter power supplies. RTX 4060 uses 115W, ideal for consumer or edge setups. Lower TDP reduces cooling costs for RTX 4060.
Is the RTX 4060 available on cloud GPU rental sites?▾
No live offers exist for RTX 4060 on gpuperhour.com. A100 PCIe 40GB starts at $0.60 per hour across 11 providers, averaging $1.85 per hour. Check for updates on consumer GPU availability.
Which is better for multi-GPU training?▾
A100 supports NVLink and PCIe 4.0 for high-speed interconnects up to 600 GB/s GPU-to-GPU. RTX 4060 lacks advanced multi-GPU links. A100 scales distributed training effectively.
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.