Specifications Compared
| Spec | GH200 | RTX-2070 |
|---|---|---|
| TDP | 900W | 175W |
| VRAM | 96 GB | 8 GB |
| CUDA Cores | 16,896 | 2,304 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Turing |
| Form Factors | SXM | PCIe |
| Interconnect | NVLink-C2C, PCIe 5.0 | 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 | 4,000 GB/s | 448 GB/s |
Performance Analysis
The GH200's 1979 TFLOPS FP16 vastly exceeds the RTX 2070 SUPER's 9 TFLOPS, enabling faster deep learning training where mixed precision dominates. Its 67 TFLOPS FP32 outperforms the 9 TFLOPS on the consumer card, benefiting simulation tasks requiring single precision. This FP16 to FP32 ratio on GH200 optimizes modern ML pipelines: training leverages FP16 for speed, inference uses FP8 at 3958 TFLOPS. The RTX 2070 SUPER's balanced 1:1 FP16/FP32 suits general compute but lags in scale. Memory differences are critical: 96 GB versus 8 GB allows GH200 to handle massive models without swapping, supporting batch sizes up to 12 times larger. GH200's 4000 GB/s bandwidth versus 448 GB/s ensures higher throughput for data-intensive workloads, reducing bottlenecks in training loops by nearly 9x.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GH200 Grace Hopper
| 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 | ||
 Denvr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 7600GB Storage | Virginia | $3.87/GPU/hr | |||
 CoreWeave | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 7680GB Storage | United States | $6.50/GPU/hr |
When to Choose the GH200 Grace Hopper
The GH200 excels in large-scale AI training and inference where 96 GB HBM3 and 1979 TFLOPS FP16 enable handling models exceeding 8 GB VRAM. Datacenter users benefit from NVLink-C2C interconnect and PCIe 5.0 for multi-GPU scaling at $1.99 per hour starting price. High TDP of 900W suits powered cloud racks for HPC or LLM fine-tuning.
When to Choose the RTX 2070 SUPER
The RTX 2070 SUPER fits budget local desktops with 215W TDP and PCIe form factor, ideal for gaming or small-scale Stable Diffusion at no hourly cloud cost. Users avoiding subscriptions purchase it used for under $200, leveraging 448 GB/s bandwidth for 1080p rendering. It suffices for hobbyist ML on datasets fitting 8 GB VRAM.
Use Cases
GH200's 1979 TFLOPS FP16 and 96 GB VRAM support massive batches and models far beyond RTX 2070 SUPER's 9 TFLOPS and 8 GB limits.
96 GB HBM3 with 4000 GB/s bandwidth handles large LLMs at low latency; RTX 2070 SUPER's 8 GB restricts to tiny models.
GH200's FP8 at 3958 TFLOPS accelerates parameter-efficient tuning; 67 TFLOPS FP32 aids precision tasks over 9 TFLOPS.
RTX 2070 SUPER runs local inference at 9 TFLOPS for hobbyists; GH200 scales to high-res batch generation in cloud.
900W TDP and NVLink suit HPC simulations needing 4000 GB/s bandwidth; RTX 2070 SUPER's 215W limits complex workloads.
Frequently Asked Questions
What is the performance difference between GH200 and RTX 2070 SUPER?▾
GH200 delivers 1979 TFLOPS FP16 and 67 TFLOPS FP32, over 200x higher than RTX 2070 SUPER's 9 TFLOPS in both. This gap favors GH200 for AI training. Bandwidth is 4000 GB/s versus 448 GB/s.
How much VRAM do GH200 and RTX 2070 SUPER have?▾
GH200 offers 96 GB HBM3 for large models. RTX 2070 SUPER has 8 GB GDDR6, suitable for smaller tasks. The 12x difference impacts batch sizes directly.
What are the power requirements?▾
GH200 requires 900W TDP in SXM form factor for datacenters. RTX 2070 SUPER uses 215W in PCIe, fitting consumer PCs. Lower power aids desktop efficiency.
Is GH200 available on cloud with pricing?▾
GH200 clouds start at $1.99 per hour, averaging $3.33 across five offers. RTX 2070 SUPER has no live cloud offers. Rent GH200 for scalable AI.
Which is better for machine learning training?▾
GH200's 1979 TFLOPS FP16 and 96 GB VRAM excel for large-scale training. RTX 2070 SUPER's 9 TFLOPS limits it to prototypes. Memory bandwidth of 4000 GB/s accelerates GH200 further.
What architectures do they use?▾
GH200 uses 2023 Hopper with NVLink-C2C. RTX 2070 SUPER uses 2018 Turing with PCIe. Five-year gap explains GH200's superiority in modern workloads.
Which is cheaper to rent, the GH200 or the RTX 2070?▾
Cloud rental prices for both the GH200 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 GH200 have compared to the RTX 2070?▾
The GH200 has 96 GB of HBM3 memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find GH200 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 GH200 and the RTX 2070?▾
The GH200 uses the Hopper architecture (2023) while the RTX 2070 uses Turing (2018). The GH200 delivers 263.9x the FP16 throughput and 8.9x the memory bandwidth of the RTX 2070.