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 FP16 performance difference proves decisive for AI workloads: H100 NVL delivers 1979 TFLOPS, enabling training of massive models in hours that would take days on RTX 3060 Ti's 12.7 TFLOPS. This delta accelerates deep learning training where half-precision computations dominate, reducing iteration times significantly. FP32 performance follows suit: 67 TFLOPS on H100 NVL supports precise scientific simulations, far exceeding RTX 3060 Ti's 12.7 TFLOPS. H100 NVL's FP8 capability at 3958 TFLOPS optimizes inference for quantized models, a feature absent in RTX 3060 Ti. Memory bandwidth impacts batch sizes directly: 3350 GB/s on H100 NVL handles datasets with 80-94 GB VRAM without out-of-memory errors, while 360 GB/s and 12 GB VRAM on RTX 3060 Ti restrict users to small batches or model sharding. Power consumption reflects efficiency: H100 NVL's 700W TDP suits datacenter cooling, versus RTX 3060 Ti's efficient 170W for edge deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 NVL
| 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 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 24 vCPU 28GB RAM 970GB Storage | Texas | $0.23/GPU/hr | Available | ||
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 | 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 NVL
The NVIDIA H100 NVL excels in large-scale AI training and inference where VRAM exceeds 12 GB, such as full fine-tuning of billion-parameter LLMs. Its 1979 TFLOPS FP16 and 3350 GB/s bandwidth enable processing batch sizes that fit 80-94 GB HBM3, ideal for research labs or enterprises with $1.40 per hour budgets. NVLink interconnects facilitate multi-GPU scaling in SXM5 or NVL form factors for distributed training.
When to Choose the RTX 3060 Ti
The NVIDIA GeForce RTX 3060 Ti suits cost-sensitive prototyping and inference on models under 12 GB VRAM, like lightweight Stable Diffusion runs. At $0.03 per hour, it offers value for hobbyists or small teams testing ideas without high power demands of 170W TDP. PCIe form factor simplifies integration into consumer workstations for gaming or basic ML tasks.
Use Cases
H100 NVL's 80-94 GB VRAM and 1979 TFLOPS FP16 handle massive datasets and parameters that exceed RTX 3060 Ti's 12 GB limit. Bandwidth of 3350 GB/s supports large batch sizes essential for efficient training.
FP8 performance at 3958 TFLOPS on H100 NVL accelerates quantized inference for production-scale LLMs. High VRAM prevents swapping on large models unlike RTX 3060 Ti's constraints.
67 TFLOPS FP32 and 80-94 GB HBM3 enable fine-tuning of models over 12 GB without distillation. NVLink interconnect speeds multi-GPU setups.
RTX 3060 Ti's 12 GB GDDR6 suffices for standard image generation at 12.7 TFLOPS FP16. Low $0.03 per hour cost fits frequent creative experimentation.
H100 NVL's 67 TFLOPS FP32 outperforms RTX 3060 Ti's 12.7 TFLOPS for simulations requiring precision. 3350 GB/s bandwidth processes large arrays efficiently.
Frequently Asked Questions
What is the VRAM capacity of NVIDIA H100 NVL versus RTX 3060 Ti?▾
NVIDIA H100 NVL provides 80-94 GB HBM3 VRAM, dwarfing the RTX 3060 Ti's 12 GB GDDR6. This enables H100 NVL to load entire large models, while RTX 3060 Ti requires techniques like quantization. The difference suits datacenter versus consumer applications.
How do cloud prices compare for these GPUs?▾
H100 NVL pricing starts from $1.40 per hour, averaging $2.89 per hour across 9 offers. RTX 3060 Ti begins at $0.03 per hour, averaging $0.06 per hour across 2 offers. Budget drives RTX 3060 Ti selection for light tasks.
Which GPU has superior FP16 performance?▾
H100 NVL achieves 1979 TFLOPS FP16, vastly superior to RTX 3060 Ti's 12.7 TFLOPS. This gap accelerates AI training cycles dramatically. Inference benefits similarly from H100 NVL's FP8 at 3958 TFLOPS.
What are the memory bandwidth figures?▾
H100 NVL delivers 3350 GB/s bandwidth with HBM3 memory. RTX 3060 Ti offers 360 GB/s with GDDR6. Higher bandwidth on H100 NVL supports larger batch sizes in deep learning.
How do power requirements differ?▾
H100 NVL consumes 700W TDP, designed for datacenter power infrastructure. RTX 3060 Ti uses 170W TDP, suitable for desktops. Efficiency favors RTX 3060 Ti in low-power setups.
What architectures power these GPUs?▾
H100 NVL uses Hopper architecture from 2022 with NVLink support. RTX 3060 Ti employs Ampere from 2021 via PCIe. Hopper optimizations target AI advancements over Ampere's gaming focus.
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.