Specifications Compared
| Spec | H200 | RTX-4060 |
|---|---|---|
| TDP | 700W | 115W |
| VRAM | 141 GB | 8 GB |
| CUDA Cores | 16,896 | 3,072 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 96 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 15.1 TFLOPS |
| FP32 Performance | 67 TFLOPS | 15.1 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 242 TOPS |
| Memory Bandwidth | 4,800 GB/s | 272 GB/s |
Performance Analysis
Compute disparities define their capabilities: H200 achieves 1979 TFLOPS in FP16 and 67 TFLOPS in FP32, compared to RTX 4060 Ti's 15.1 TFLOPS in both. The H200's FP16 dominance, amplified by 3958 TFLOPS FP8, accelerates mixed-precision training and inference for large models, while RTX 4060 Ti suits balanced FP32 tasks like gaming or small-scale simulations.
Memory specs reshape real-world usage: H200's 141 GB VRAM supports batch sizes for LLMs exceeding 100 billion parameters, versus RTX 4060 Ti's 8 GB limit which restricts to smaller models or low-batch inference. Bandwidth at 4800 GB/s on H200 enables rapid data throughput for training epochs, reducing time by orders of magnitude over RTX 4060 Ti's 272 GB/s.
Power and form factors further diverge outcomes: H200's 700W TDP in SXM/NVL suits rack-scale clusters, while RTX 4060 Ti's 115W PCIe fits desktops or light servers. These translate to H200 handling enterprise-scale AI pipelines efficiently, with RTX 4060 Ti viable for prototyping or edge deployment.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H200 NVL
| 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 |
When to Choose the H200 NVL
Opt for H200 NVL in large-scale AI training or inference: its 141 GB HBM3e VRAM accommodates massive models, and 4800 GB/s bandwidth sustains high batch sizes. Scenarios include multi-node LLM development via NVLink and InfiniBand, where 1979 TFLOPS FP16 cuts training time significantly. Cloud pricing from $0.50/hr justifies investment for production workloads.
Enterprise scientific computing benefits from H200's 67 TFLOPS FP32 and 700W scalability in NVL form factors.
When to Choose the RTX 4060 Ti
Select RTX 4060 Ti for budget-conscious gaming or small AI tasks: 8 GB GDDR6 VRAM and 15.1 TFLOPS FP16/FP32 handle Stable Diffusion or fine-tuning compact models at $0.08/hr starting price. Its 115W TDP and PCIe form factor enable easy desktop integration without datacenter infrastructure.
Entry-level inference or development prototyping favors RTX 4060 Ti due to low average $0.14/hr cost across 6 offers.
Use Cases
H200's 141 GB VRAM and 4800 GB/s bandwidth support large batch sizes for billion-parameter models. RTX 4060 Ti's 8 GB limits scale.
1979 TFLOPS FP16 on H200 accelerates high-throughput serving. RTX 4060 Ti's 15.1 TFLOPS suits only small models.
H200's 3958 TFLOPS FP8 optimizes efficient fine-tuning of large LLMs. 8 GB VRAM on RTX 4060 Ti restricts dataset sizes.
RTX 4060 Ti's 15.1 TFLOPS FP16 generates images quickly at $0.08/hr. H200's power is excessive for consumer diffusion tasks.
67 TFLOPS FP32 and NVLink on H200 enable complex simulations. RTX 4060 Ti lacks bandwidth for large datasets.
Frequently Asked Questions
What is the VRAM difference between H200 NVL and RTX 4060 Ti?▾
H200 NVL provides 141 GB HBM3e VRAM, dwarfing RTX 4060 Ti's 8 GB GDDR6. This enables H200 to load massive models without swapping. RTX 4060 Ti fits smaller workloads.
How do cloud prices compare for these GPUs?▾
H200 NVL starts at $0.50/hr with $2.39/hr average across 4 offers. RTX 4060 Ti is from $0.08/hr averaging $0.14/hr over 6 offers. Budget tasks favor RTX.
What are the FP16 performance figures?▾
H200 delivers 1979 TFLOPS FP16, versus RTX 4060 Ti's 15.1 TFLOPS. This gap accelerates AI training on H200 by over 100x. Inference scales similarly.
Which has higher memory bandwidth?▾
H200 offers 4800 GB/s, compared to RTX 4060 Ti's 272 GB/s. Higher bandwidth on H200 supports larger batches in ML pipelines. RTX suffices for light use.
What are the TDP ratings?▾
H200 requires 700W TDP for datacenter use. RTX 4060 Ti uses 115W, ideal for desktops. Power efficiency favors RTX for small setups.
Can RTX 4060 Ti scale like H200 NVL?▾
RTX 4060 Ti uses PCIe only, lacking NVLink or InfiniBand on H200. H200 excels in multi-GPU clusters. RTX fits single-node tasks.
Which is cheaper to rent, the H200 or the RTX 4060?▾
Cloud rental prices for both the H200 and RTX 4060 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 4060?▾
The H200 has 141 GB of HBM3e memory. The RTX 4060 has 8 GB of GDDR6 memory.
Can I find H200 and RTX 4060 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 4060?▾
The H200 uses the Hopper architecture (2024) while the RTX 4060 uses Ada Lovelace (2023). The H200 delivers 131.1x the FP16 throughput and 17.6x the memory bandwidth of the RTX 4060.