Specifications Compared
| Spec | H100 | RTX-3060 |
|---|---|---|
| TDP | 700W | 170W |
| VRAM | 80-94 GB | 12 GB |
| CUDA Cores | 16,896 | 3,584 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ampere |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 112 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 12.7 TFLOPS |
| FP32 Performance | 67 TFLOPS | 12.7 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 360 GB/s |
Performance Analysis
The H100's FP16 performance of 1979 TFLOPS accelerates deep learning training by enabling faster matrix multiplications in neural networks, a vast improvement over the RTX 3060's 12.7 TFLOPS. Its FP32 rate of 67 TFLOPS supports precise simulations, exceeding the RTX 3060's 12.7 TFLOPS. For inference, H100's FP8 at 3958 TFLOPS handles high-throughput serving of quantized models efficiently.
Memory bandwidth defines workload feasibility: H100's 3350 GB/s sustains large batch sizes in training loops, minimizing data starvation, whereas RTX 3060's 360 GB/s restricts batches and increases iteration times. The H100's 80 to 94 GB VRAM accommodates massive models without swapping, unlike the RTX 3060's 12 GB limit which forces model sharding or downsizing. Power draw reflects this: H100 at 700W for peak output, RTX 3060 at 170W for lighter duties.
These specs translate to real-world gains: H100 completes large-scale training epochs in minutes where RTX 3060 requires hours.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 PCIe
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Hyperstack | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 124 vCPU 720GB RAM 3300GB Storage | Canada | $1.90/GPU/hr $7.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 60 vCPU 360GB RAM 1600GB Storage | Canada | $1.90/GPU/hr $3.80/hr total (2×) | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.90/GPU/hr $15.20/hr total (8×) | Available | ||
Hyperstack | NVIDIA H100 PCIe 80GB VRAM | 80GB | 28 vCPU 180GB RAM 850GB Storage | Canada | $1.90/GPU/hr | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.95/GPU/hr $15.60/hr total (8×) | Available |
RTX 3060
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 36 vCPU 31GB RAM 862GB Storage | Texas | $0.23/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 24 vCPU 55GB RAM 1940GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available | ||
Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 128 vCPU 168GB RAM 715GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available | ||
Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 64 vCPU 126GB RAM 3050GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available |
When to Choose the H100 PCIe
Select the H100 PCIe for large-scale LLM training or inference requiring over 80 GB VRAM and 1979 TFLOPS FP16 throughput. Its 3350 GB/s bandwidth supports massive batch sizes in production environments. Datacenter form factors like PCIe and 700W TDP integrate seamlessly into enterprise clusters with NVLink interconnects.
When to Choose the RTX 3060
Opt for the RTX 3060 in budget-constrained prototyping, gaming, or small-scale inference with models under 12 GB. Its $0.03 per hour starting price and 170W TDP suit personal or edge deployments. The 12.7 TFLOPS FP16/FP32 performance handles Stable Diffusion or fine-tuning lightweight networks adequately.
Use Cases
H100's 1979 TFLOPS FP16 and 80-94 GB VRAM enable training of billion-parameter models with large batches. RTX 3060's 12 GB VRAM cannot accommodate such scales.
H100's 3958 TFLOPS FP8 supports high-throughput serving of quantized LLMs. RTX 3060 lacks FP8 and sufficient bandwidth at 360 GB/s.
H100 handles parameter-efficient fine-tuning on large models via 67 TFLOPS FP32. RTX 3060 suits only small models under 12 GB.
RTX 3060's 12.7 TFLOPS FP16 generates images quickly at low $0.07 per hour average cost. H100 overkill for consumer diffusion tasks.
H100's 3350 GB/s bandwidth and 700W TDP excel in simulations needing high FP32 at 67 TFLOPS. RTX 3060 limits complex datasets.
Frequently Asked Questions
What is the VRAM difference between H100 PCIe and RTX 3060?▾
H100 PCIe provides 80 to 94 GB HBM3 VRAM, enabling large models. RTX 3060 has 12 GB GDDR6, suitable for smaller workloads. This gap affects batch sizes and model capacity.
How do cloud prices compare for these GPUs?▾
H100 PCIe starts at $1.25 per hour, averaging $2.75 per hour across 17 offers. RTX 3060 begins at $0.03 per hour, averaging $0.07 per hour over 12 offers. Pricing reflects performance disparity.
Which has higher FP16 performance?▾
H100 delivers 1979 TFLOPS FP16, ideal for AI training. RTX 3060 offers 12.7 TFLOPS, adequate for entry-level tasks. H100 provides over 150 times the throughput.
What are the TDPs of these GPUs?▾
H100 PCIe consumes 700W for maximum compute. RTX 3060 uses 170W, better for low-power setups. Higher TDP correlates with H100's datacenter design.
Can RTX 3060 handle LLM inference?▾
RTX 3060 manages small LLMs under 12 GB VRAM at 12.7 TFLOPS FP16. Larger models require H100's 80-94 GB and 3958 TFLOPS FP8. Use RTX 3060 for prototyping only.
What memory bandwidth do they offer?▾
H100 achieves 3350 GB/s with HBM3, supporting huge batches. RTX 3060 provides 360 GB/s GDDR6, limiting data-intensive tasks. Bandwidth drives training efficiency.
Which is cheaper to rent, the H100 or the RTX 3060?▾
Cloud rental prices for both the H100 and RTX 3060 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 H100 have compared to the RTX 3060?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 3060 has 12 GB of GDDR6 memory.
Can I find H100 and RTX 3060 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 H100 and the RTX 3060?▾
The H100 uses the Hopper architecture (2022) while the RTX 3060 uses Ampere (2021). The H100 delivers 155.8x the FP16 throughput and 9.3x the memory bandwidth of the RTX 3060.