Specifications Compared
| Spec | A100 | RTX-5060 |
|---|---|---|
| TDP | 400W | 180W |
| VRAM | 40-80 GB | 12 GB |
| CUDA Cores | 6,912 | 4,608 |
| Memory Type | HBM2e | GDDR7 |
| Architecture | Ampere | Blackwell |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 144 |
| FP16 Performance | 312 TFLOPS | 23.1 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 23.1 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | 370 TOPS |
| Memory Bandwidth | 2,039 GB/s | 448 GB/s |
Performance Analysis
FP16 performance defines AI acceleration potential: the A100's 312 TFLOPS enables rapid matrix multiplications in model training, far exceeding the RTX 5060's 23.1 TFLOPS and allowing 13 times faster throughput on half-precision workloads. For FP32 tasks like some scientific simulations, the RTX 5060 matches at 23.1 TFLOPS against the A100's 19.5 TFLOPS, but most deep learning favors FP16 where the A100 prevails. Inference benefits similarly from high FP16, processing larger batches without precision loss.
Memory bandwidth profoundly impacts batch sizes: the A100's 2039 GB/s sustains data flow for models exceeding 12 GB VRAM, minimizing bottlenecks in training epochs, whereas the RTX 5060's 448 GB/s constrains it to smaller batches and longer runtimes. The A100's 400W TDP facilitates sustained datacenter loads via NVLink scaling, contrasting the RTX 5060's 180W efficiency for intermittent desktop use. These specs position the A100 for heavy AI pipelines.
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 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×) |
RTX 5060
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
Vast.ai | 2×NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 63GB RAM 1345GB Storage | Maryland | $0.27/GPU/hr $0.53/hr total (2×) | Available |
When to Choose the A100 SXM4 80GB
Datacenter-scale AI training demands the A100 SXM4 80GB: its 80 GB HBM2e VRAM accommodates full large language models without model parallelism, and 2039 GB/s bandwidth supports massive batch sizes. Multi-GPU clusters leverage NVLink and InfiniBand for efficient scaling across nodes, with cloud pricing from $0.45 per hour justifying investment for production workloads.
When to Choose the RTX 5060
Consumer gaming or lightweight AI inference favors the RTX 5060: 12 GB GDDR7 VRAM and 448 GB/s bandwidth handle smaller models or Stable Diffusion at 23.1 TFLOPS FP16/FP32. Its 180W TDP and PCIe form factor suit desktop setups without datacenter infrastructure, especially as Blackwell architecture promises future efficiencies despite no current cloud offers.
Use Cases
The A100's 80 GB VRAM and 312 TFLOPS FP16 handle massive parameter counts and large batches without splitting. RTX 5060's 12 GB limits it to toy models.
High 2039 GB/s bandwidth on A100 supports high-throughput serving of large models. RTX 5060's 448 GB/s suits only smaller quantized LLMs.
A100's 80 GB VRAM fits full model checkpoints during fine-tuning of billion-parameter LLMs. 12 GB on RTX 5060 requires heavy gradient accumulation.
RTX 5060's 23.1 TFLOPS FP16 and 12 GB VRAM suffice for image generation at desktop scales. A100 excels for batch processing via superior bandwidth.
A100's NVLink scaling and 2039 GB/s bandwidth accelerate simulations across multi-GPU setups. RTX 5060's PCIe limits cluster efficiency.
Frequently Asked Questions
What is the VRAM capacity of A100 SXM4 80GB versus RTX 5060?▾
The A100 SXM4 80GB offers 80 GB HBM2e VRAM for large-scale AI models. The RTX 5060 provides 12 GB GDDR7, suitable for consumer tasks. This 6.7 times difference impacts model size handling.
How do FP16 performances compare between A100 and RTX 5060?▾
A100 delivers 312 TFLOPS in FP16 for fast training and inference. RTX 5060 reaches 23.1 TFLOPS, about 13.5 times lower. AI workloads heavily favor the A100's capability.
What are the memory bandwidth specs for these GPUs?▾
A100 achieves 2039 GB/s with HBM2e, enabling large batch sizes. RTX 5060 has 448 GB/s on GDDR7, limiting data-intensive operations. The gap exceeds 4.5 times.
Is cloud pricing available for A100 SXM4 80GB and RTX 5060?▾
A100 SXM4 80GB starts at $0.45 per hour, averaging $1.30 across 30 offers. RTX 5060 has no live cloud offers currently. This makes A100 immediately rentable.
What are the TDP ratings of A100 versus RTX 5060?▾
A100 requires 400W for datacenter sustained performance. RTX 5060 uses 180W, ideal for desktops. Power draw reflects their professional versus consumer designs.
Which architecture powers each GPU?▾
A100 uses Ampere from 2020 with mature AI optimizations. RTX 5060 employs Blackwell from 2025 for potential efficiency gains. Generational shift influences future-proofing.
Which is cheaper to rent, the A100 or the RTX 5060?▾
Cloud rental prices for both the A100 and RTX 5060 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 5060?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 5060 has 12 GB of GDDR7 memory.
Can I find A100 and RTX 5060 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 5060?▾
The A100 uses the Ampere architecture (2020) while the RTX 5060 uses Blackwell (2025). The A100 delivers 13.5x the FP16 throughput and 4.6x the memory bandwidth of the RTX 5060.