Specifications Compared
| Spec | H200 | RTX-2070 |
|---|---|---|
| TDP | 700W | 175W |
| VRAM | 141 GB | 8 GB |
| CUDA Cores | 16,896 | 2,304 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Hopper | Turing |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink |
| Tensor Cores | 528 | 288 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 67 TFLOPS | 7.5 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 4,800 GB/s | 448 GB/s |
Performance Analysis
The H200 SXM dominates in compute throughput: its FP16 rating reaches 1979 TFLOPS compared to 7.5 TFLOPS on the RTX 2070 SUPER, enabling faster AI model training where half-precision arithmetic prevails. FP32 performance follows suit at 67 TFLOPS versus 7.5 TFLOPS, benefiting general-purpose simulations and rendering. This disparity translates to the H200 SXM handling large-scale deep learning iterations in minutes that would take hours on the RTX 2070 SUPER. Memory bandwidth of 4800 GB/s on the H200 SXM supports massive batch sizes in training without out-of-memory errors, while 448 GB/s on the RTX 2070 SUPER limits workloads to smaller datasets. For inference, the H200 SXM's FP8 capability at 3958 TFLOPS accelerates serving high-throughput models, unavailable on the consumer card. Power efficiency suffers on the H200 SXM at 700W TDP, but raw performance justifies it for datacenter deployments.
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 | NVIDIA H200 SXM 141GB VRAM | 141GB | 24 vCPU 240GB RAM 3000GB Storage | London | $3.50/GPU/hr | Available |
When to Choose the H200 SXM
Choose the NVIDIA H200 SXM for large language model training or inference requiring over 141 GB VRAM, such as processing billion-parameter models with batch sizes enabled by 4800 GB/s bandwidth. It excels in cloud environments with NVLink and InfiniBand interconnects for multi-GPU scaling across 21 live offers starting at $1.19 per hour. Scientific computing and fine-tuning of massive datasets demand its 1979 TFLOPS FP16 throughput.
When to Choose the RTX 2070 SUPER
The NVIDIA GeForce RTX 2070 SUPER suits budget-conscious gamers or local developers prototyping small models under 8 GB VRAM. Its 175W TDP enables desktop use without high power infrastructure, ideal for Stable Diffusion on modest images or light fine-tuning. Lack of cloud offers makes it viable for on-premises setups where upfront costs beat hourly rates.
Use Cases
The H200 SXM's 141 GB VRAM and 4800 GB/s bandwidth handle massive datasets and large batch sizes essential for training billion-parameter LLMs. The RTX 2070 SUPER's 8 GB limit causes frequent out-of-memory issues.
FP8 performance of 3958 TFLOPS on the H200 SXM delivers high-throughput serving for production inference. The RTX 2070 SUPER lacks comparable precision support and VRAM for real-time queries.
67 TFLOPS FP32 and 1979 TFLOPS FP16 on the H200 SXM accelerate fine-tuning of large models efficiently. The RTX 2070 SUPER's 7.5 TFLOPS metrics prolong iterations on even mid-sized tasks.
Small-scale image generation fits within 8 GB VRAM of the RTX 2070 SUPER for local use. The H200 SXM scales to high-resolution batches via 141 GB VRAM but incurs cloud costs from $1.19 per hour.
The H200 SXM's PCIe 5.0 and NVLink support multi-node simulations with 4800 GB/s bandwidth. The RTX 2070 SUPER restricts complex datasets due to 448 GB/s and PCIe form factor.
Frequently Asked Questions
Which GPU has more VRAM: H200 SXM or RTX 2070 SUPER?▾
The H200 SXM provides 141 GB HBM3e VRAM, vastly exceeding the 8 GB GDDR6 on the RTX 2070 SUPER. This enables handling larger models without swapping. Bandwidth follows at 4800 GB/s versus 448 GB/s.
What is the FP16 performance difference between H200 SXM and RTX 2070 SUPER?▾
The H200 SXM achieves 1979 TFLOPS in FP16, over 260 times the 7.5 TFLOPS of the RTX 2070 SUPER. This gap accelerates AI training significantly. FP32 stands at 67 TFLOPS versus 7.5 TFLOPS.
Is the H200 SXM available on cloud platforms?▾
Cloud pricing for the H200 SXM starts at $1.19 per hour, averaging $3.83 per hour across 21 offers. No live cloud offers exist for the RTX 2070 SUPER. Datacenter interconnects like NVLink enhance its scalability.
Which has higher power consumption?▾
The H200 SXM draws 700W TDP, compared to 175W on the RTX 2070 SUPER. This reflects enterprise versus consumer design. The H200 suits rack-scale deployments.
Can the RTX 2070 SUPER handle AI workloads like the H200 SXM?▾
The RTX 2070 SUPER manages small-scale tasks with 7.5 TFLOPS FP16 but falters on large models due to 8 GB VRAM. The H200 SXM's 141 GB and 1979 TFLOPS FP16 target production AI. Use the SUPER for prototyping only.
What architectures do these GPUs use?▾
The H200 SXM employs Hopper from 2024, while the RTX 2070 SUPER uses Turing from 2019. Hopper optimizes for modern AI with FP8 support at 3958 TFLOPS. Turing focuses on gaming with PCIe form factor.
Which is cheaper to rent, the H200 or the RTX 2070?▾
Cloud rental prices for both the H200 and RTX 2070 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 2070?▾
The H200 has 141 GB of HBM3e memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find H200 and RTX 2070 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 2070?▾
The H200 uses the Hopper architecture (2024) while the RTX 2070 uses Turing (2018). The H200 delivers 263.9x the FP16 throughput and 10.7x the memory bandwidth of the RTX 2070.