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
Raw compute reveals stark disparities: H100 achieves 1979 TFLOPS FP16 and 67 TFLOPS FP32, dwarfing RTX 3060's 12.7 TFLOPS in both, enabling 156 times faster FP16 tensor operations for deep learning training. This FP16/FP32 delta favors H100 in mixed-precision training, where FP16 accelerates matrix multiplications by up to 30 times over FP32 on RTX 3060, cutting epochs from days to hours for large neural networks.
Memory specs dictate real-world viability: H100's 3350 GB/s bandwidth and 80 GB VRAM sustain batch sizes over 10 times larger than RTX 3060's 360 GB/s and 12 GB limit, preventing out-of-memory errors in LLM inference or fine-tuning. RTX 3060 suits small models under 7B parameters; H100 scales to 70B+ effortlessly. Power draw underscores efficiency: 700W TDP on H100 yields 2.8 TFLOPS per watt FP16, versus RTX 3060's 170W at 0.075 TFLOPS per watt.
Inference benefits most from H100's FP8 at 3958 TFLOPS, slashing latency for high-throughput serving, while RTX 3060 handles prototyping at low cost.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 SXM5
| 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 | ||
 Voltage Park | 8×NVIDIA H100 SXM5 80GB VRAM | 80GB | 208 vCPU 928GB RAM 19200GB Storage | Dallas, Texas | $1.99/GPU/hr $15.92/hr total (8×) |
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 SXM5
Choose the H100 SXM5 for large-scale AI training and inference: its 80 GB HBM3 VRAM and 3350 GB/s bandwidth manage models exceeding 12 GB GDDR6 on RTX 3060, supporting batch sizes for 70B parameter LLMs. Enterprise teams prioritize 1979 TFLOPS FP16 for rapid experimentation, with NVLink interconnects scaling multi-GPU clusters unavailable on RTX 3060.
When to Choose the RTX 3060
Opt for RTX 3060 in budget-sensitive prototyping or consumer tasks: at $0.03 per hour minimum, it delivers 12.7 TFLOPS FP16 for fine-tuning small models under 7B parameters on 12 GB VRAM. Hobbyists and developers favor its 170W TDP and PCIe form factor for light inference or Stable Diffusion, avoiding H100's $0.80 per hour entry cost.
Use Cases
H100's 1979 TFLOPS FP16 and 80 GB VRAM handle massive datasets and large batch sizes; RTX 3060's 12.7 TFLOPS and 12 GB VRAM cause out-of-memory failures for models over 13B parameters.
3958 TFLOPS FP8 on H100 delivers low-latency serving for 70B+ models with 3350 GB/s bandwidth; RTX 3060 limits to small models due to 12 GB VRAM.
67 TFLOPS FP32 and high bandwidth on H100 accelerate parameter-efficient tuning on large LLMs; RTX 3060 suffices only for tiny models under 1B parameters.
RTX 3060's 12.7 TFLOPS FP16 generates images quickly on 12 GB VRAM for hobby use; H100 overpowers with 1979 TFLOPS for batch processing high-res outputs.
H100's 3350 GB/s bandwidth and 80 GB VRAM excel in simulations with large matrices; RTX 3060's 360 GB/s restricts complex HPC workloads.
Frequently Asked Questions
What is the VRAM difference between H100 SXM5 and RTX 3060?▾
H100 SXM5 provides 80 GB HBM3 VRAM, up to 7 times more than RTX 3060's 12 GB GDDR6. This enables H100 to load massive AI models without swapping, while RTX 3060 handles only smaller ones.
How does FP16 performance compare?▾
H100 SXM5 delivers 1979 TFLOPS FP16, 156 times higher than RTX 3060's 12.7 TFLOPS. This gap accelerates deep learning training significantly on H100.
What are the cloud pricing differences?▾
H100 SXM5 starts at $0.80 per hour average $3.56 per hour across 33 offers; RTX 3060 from $0.03 per hour average $0.07 per hour across 12 offers. RTX 3060 suits low-budget runs.
Can RTX 3060 handle LLM inference?▾
RTX 3060 manages inference for models under 7B parameters on 12 GB VRAM at 12.7 TFLOPS FP16. Larger models require H100's 80 GB and 1979 TFLOPS.
What is the memory bandwidth gap?▾
H100 SXM5 offers 3350 GB/s, over 9 times RTX 3060's 360 GB/s. Higher bandwidth on H100 supports bigger batches without slowdowns.
Which has higher power consumption?▾
H100 SXM5 draws 700W TDP versus RTX 3060's 170W. H100 provides superior efficiency at 2.8 TFLOPS per watt FP16 compared to 0.075 on RTX 3060.
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.