Specifications Compared
| Spec | H200 | RTX-4070 |
|---|---|---|
| TDP | 700W | 200W |
| VRAM | 141 GB | 12 GB |
| CUDA Cores | 16,896 | 5,888 |
| Memory Type | HBM3e | GDDR6X |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 184 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 67 TFLOPS | 29.1 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 466 TOPS |
| Memory Bandwidth | 4,800 GB/s | 504 GB/s |
Performance Analysis
The H200 NVL's 1979 TFLOPS FP16 performance dwarfs the RTX 4070 Ti's 29.1 TFLOPS, accelerating AI training by orders of magnitude through tensor core efficiency. Its FP32 at 67 TFLOPS exceeds RTX 4070 Ti's 29.1 TFLOPS, but the FP16-to-FP32 ratio on H200 NVL: 1979 to 67, underscores specialization for mixed-precision training where FP16 dominates. RTX 4070 Ti's equal 29.1 TFLOPS across FP16 and FP32 favors balanced general compute over AI peaks.
Memory differences reshape workloads profoundly: 141 GB HBM3e on H200 NVL supports batch sizes for models exceeding 100 billion parameters, impossible on 12 GB GDDR6X of RTX 4070 Ti. Bandwidth at 4800 GB/s versus 504 GB/s on H200 NVL prevents bottlenecks in data-heavy inference, allowing larger batches without OOM errors. RTX 4070 Ti handles modest batches effectively but scales poorly for enterprise inference.
Power draw reveals efficiency contexts: H200 NVL's 700W TDP suits dense racks with NVLink and InfiniBand, while RTX 4070 Ti's 200W fits PCIe consumer setups. These specs translate to H200 NVL enabling 10x faster LLM training epochs.
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 |
RTX 4070 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the H200 NVL
Professionals select the H200 NVL for large-scale LLM training and inference where 141 GB VRAM accommodates models like GPT-4 equivalents without sharding. Its 4800 GB/s bandwidth and 1979 TFLOPS FP16 ensure high throughput in multi-GPU clusters via NVLink. Cloud users prioritize it when hourly costs of $0.50 to $2.39 justify 68x FP16 gains over consumer cards.
When to Choose the RTX 4070 Ti
Budget-conscious users choose the RTX 4070 Ti for gaming, lightweight fine-tuning, or Stable Diffusion at $0.08 to $0.22 per hour. Its 12 GB VRAM and 504 GB/s bandwidth suffice for models under 7 billion parameters or 1080p rendering. Low 200W TDP enables easy deployment in personal or small-scale cloud instances without advanced interconnects.
Use Cases
H200 NVL's 141 GB VRAM and 1979 TFLOPS FP16 handle massive datasets and parameters infeasible on RTX 4070 Ti's 12 GB. Bandwidth of 4800 GB/s supports large batch sizes critical for efficient training.
141 GB HBM3e enables serving huge models at scale with 3958 TFLOPS FP8 on H200 NVL. RTX 4070 Ti's 12 GB limits it to small models with frequent swapping.
H200 NVL's 67 TFLOPS FP32 and vast memory accelerate fine-tuning of large models. RTX 4070 Ti suits only small LoRAs due to 12 GB constraint.
RTX 4070 Ti's 29.1 TFLOPS FP16 generates images quickly for consumer workflows at low cost. H200 NVL overkill for single-user diffusion tasks.
RTX 4070 Ti handles modest simulations with 29.1 TFLOPS FP32 affordably. H200 NVL excels in HPC-scale computations needing 141 GB VRAM.
Frequently Asked Questions
What is the VRAM difference between H200 NVL and RTX 4070 Ti?▾
H200 NVL provides 141 GB HBM3e VRAM, enabling large model hosting. RTX 4070 Ti offers 12 GB GDDR6X, suitable for smaller workloads. This 11.75x gap defines scalability limits.
How do cloud prices compare for these GPUs?▾
H200 NVL pricing starts at $0.50 per hour, averaging $2.39 per hour across 4 offers. RTX 4070 Ti begins at $0.08 per hour, averaging $0.22 per hour across 5 offers. Cost reflects performance disparity.
Which has higher FP16 performance?▾
H200 NVL achieves 1979 TFLOPS FP16, vastly outpacing RTX 4070 Ti's 29.1 TFLOPS. This benefits AI acceleration on H200 NVL. Ratio exceeds 68x.
Can RTX 4070 Ti handle LLM inference?▾
RTX 4070 Ti manages small LLMs up to 7B parameters with 12 GB VRAM. Larger models require quantization or multi-GPU on it. H200 NVL supports 100B+ natively.
What are the power requirements?▾
H200 NVL demands 700W TDP in SXM/NVL form factors with NVLink. RTX 4070 Ti uses 200W in PCIe slots. This suits different deployment scales.
Is memory bandwidth a key differentiator?▾
H200 NVL's 4800 GB/s dwarfs RTX 4070 Ti's 504 GB/s, nearly 10x higher. This boosts batch sizes in training. Impacts data-intensive tasks heavily.
Which is cheaper to rent, the H200 or the RTX 4070?▾
Cloud rental prices for both the H200 and RTX 4070 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 4070?▾
The H200 has 141 GB of HBM3e memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find H200 and RTX 4070 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 4070?▾
The H200 uses the Hopper architecture (2024) while the RTX 4070 uses Ada Lovelace (2023). The H200 delivers 68.0x the FP16 throughput and 9.5x the memory bandwidth of the RTX 4070.