Specifications Compared
| Spec | H200 | RTX-3060 |
|---|---|---|
| TDP | 700W | 170W |
| VRAM | 141 GB | 12 GB |
| CUDA Cores | 16,896 | 3,584 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Hopper | Ampere |
| Form Factors | SXM, 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 | 4,800 GB/s | 360 GB/s |
Performance Analysis
Compute disparities define real-world capabilities: the H200 SXM achieves 1979 TFLOPS in FP16 and 67 TFLOPS in FP32, while RTX 3060 Ti matches 12.7 TFLOPS across both. This FP16 dominance on H200 accelerates AI training and inference via tensor cores, enabling 156 times faster FP16 throughput than RTX 3060 Ti. FP32 parity on RTX 3060 Ti limits it to general compute without specialized boosts. Memory specs amplify differences: H200's 141 GB HBM3e versus 12 GB GDDR6 supports models exceeding 100 billion parameters on H200, infeasible on RTX 3060 Ti. Bandwidth at 4800 GB/s on H200 permits massive batch sizes with minimal latency, compared to 360 GB/s on RTX 3060 Ti which constrains large datasets. Power draw reflects scale: H200's 700W TDP suits clusters, RTX 3060 Ti's 170W fits edge deployments. These factors yield H200 for production AI, RTX 3060 Ti for lightweight inference.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H200 SXM
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 960GB Storage | Atlanta | $1.99/GPU/hr | Available | ||
 Lambda Labs | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 64 vCPU 432GB RAM 4096GB Storage | Virginia | $2.29/GPU/hr | Available | ||
 Nebius | NVIDIA H200 SXM 141GB VRAM | 141GB | 16 vCPU 200GB RAM | 🌍Europe | $2.45/GPU/hr | |||
 CoreWeave | 8×NVIDIA H200 SXM 141GB VRAM | 141GB | 128 vCPU 0GB RAM 61440GB Storage | United States | $2.58/GPU/hr $20.64/hr total (8×) | |||
 Ori | 4×NVIDIA H200 SXM 141GB VRAM | 141GB | 96 vCPU 960GB RAM 12000GB Storage | London | $3.50/GPU/hr $14.00/hr total (4×) | Available |
RTX 3060 Ti
| 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 H200 SXM
Opt for NVIDIA H200 SXM in large-scale AI training or inference requiring over 100 GB VRAM. Its 141 GB HBM3e handles billion-parameter LLMs, with 4800 GB/s bandwidth supporting batch sizes impossible on consumer cards. Datacenter interconnects like NVLink enable multi-GPU scaling at $1.19 per hour starting price.
When to Choose the RTX 3060 Ti
Select NVIDIA GeForce RTX 3060 Ti for budget prototyping or small-scale inference under $0.06 per hour average. Its 12 GB GDDR6 suffices for models up to 7 billion parameters, with 170W TDP ideal for single-node or desktop setups. Low pricing across 2 offers favors experimentation without high costs.
Use Cases
H200 SXM's 141 GB VRAM and 1979 TFLOPS FP16 support training models over 100 billion parameters. RTX 3060 Ti's 12 GB VRAM restricts to small models.
H200's 4800 GB/s bandwidth enables high-throughput serving of large LLMs. RTX 3060 Ti handles only modest batch sizes with 360 GB/s.
RTX 3060 Ti suffices for fine-tuning sub-7B models at $0.03 per hour. H200 excels for larger datasets needing 141 GB VRAM.
RTX 3060 Ti's 12.7 TFLOPS FP16 runs image generation efficiently at low $0.06 per hour cost. H200 overkill for consumer creative tasks.
H200's 67 TFLOPS FP32 and NVLink interconnect accelerate simulations. RTX 3060 Ti's 12.7 TFLOPS limits complex datasets.
Frequently Asked Questions
How much VRAM does NVIDIA H200 SXM have compared to RTX 3060 Ti?▾
NVIDIA H200 SXM provides 141 GB HBM3e VRAM. RTX 3060 Ti offers 12 GB GDDR6. This gap allows H200 to load massive AI models without swapping.
What is the FP16 performance difference?▾
H200 SXM delivers 1979 TFLOPS FP16. RTX 3060 Ti reaches 12.7 TFLOPS. H200 processes AI operations 156 times faster.
Which GPU is cheaper in the cloud?▾
RTX 3060 Ti starts at $0.03 per hour, averaging $0.06 across 2 offers. H200 SXM begins at $1.19 per hour, averaging $3.83 across 21 offers.
What are the memory bandwidth specs?▾
H200 SXM has 4800 GB/s bandwidth. RTX 3060 Ti provides 360 GB/s. Higher bandwidth on H200 supports larger batch sizes in training.
Which has higher power consumption?▾
H200 SXM requires 700W TDP for datacenter use. RTX 3060 Ti uses 170W, suitable for low-power setups.
Can RTX 3060 Ti handle LLM inference?▾
RTX 3060 Ti manages inference for models up to 7 billion parameters with 12 GB VRAM. Larger models require H200 SXM's 141 GB capacity.
Which is cheaper to rent, the H200 or the RTX 3060?▾
Cloud rental prices for both the H200 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 H200 have compared to the RTX 3060?▾
The H200 has 141 GB of HBM3e memory. The RTX 3060 has 12 GB of GDDR6 memory.
Can I find H200 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 H200 and the RTX 3060?▾
The H200 uses the Hopper architecture (2024) while the RTX 3060 uses Ampere (2021). The H200 delivers 155.8x the FP16 throughput and 13.3x the memory bandwidth of the RTX 3060.