Specifications Compared
| Spec | GH200 | RTX-5070 |
|---|---|---|
| TDP | 900W | 250W |
| VRAM | 96 GB | 12 GB |
| CUDA Cores | 16,896 | 6,144 |
| Memory Type | HBM3 | GDDR7 |
| Architecture | Hopper | Blackwell |
| Form Factors | SXM | PCIe |
| Interconnect | NVLink-C2C, PCIe 5.0 | |
| Tensor Cores | 528 | 192 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 67 TFLOPS | 40.6 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 650 TOPS |
| Memory Bandwidth | 4,000 GB/s | 448 GB/s |
Performance Analysis
The GH200's FP16 throughput of 1979 TFLOPS enables rapid training of large language models, where tensor operations dominate: this is 49 times the RTX 5070's 40.6 TFLOPS. Conversely, RTX 5070 matches FP16 and FP32 at 40.6 TFLOPS, ideal for inference or graphics requiring single-precision balance. GH200's FP32 at 67 TFLOPS still leads, supporting hybrid scientific workloads.
Memory bandwidth defines batch size potential: GH200's 4000 GB/s sustains massive datasets in training, preventing stalls on 96 GB HBM3. RTX 5070's 448 GB/s, nearly 9 times lower, limits it to smaller batches or real-time tasks like gaming at 250W TDP versus GH200's 900W.
FP8 capability on GH200 reaches 3958 TFLOPS for quantized inference, amplifying throughput on huge models: RTX 5070 lacks this spec, tilting enterprise inference toward GH200. Interconnects further diverge, with GH200's NVLink-C2C enabling clusters absent in RTX 5070's PCIe form.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GH200
| 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
Enterprises select the GH200 for large-scale LLM training and inference: its 96 GB HBM3 VRAM accommodates models over 100B parameters, backed by 1979 TFLOPS FP16 and 4000 GB/s bandwidth. Multi-GPU setups via NVLink-C2C scale to supercomputing, justifying $1.99 per hour starts despite 900W TDP.
Scientific computing with FP32-heavy simulations favors GH200's 67 TFLOPS over RTX 5070's consumer limits.
When to Choose the RTX 5070
Budget users opt for RTX 5070 in gaming or lightweight AI: 40.6 TFLOPS FP32 drives real-time rendering at 250W TDP and $0.08 per hour pricing. Its 12 GB GDDR7 suffices for Stable Diffusion or small fine-tuning without enterprise overhead.
Solo developers avoid GH200's scale when 448 GB/s bandwidth handles modest batches efficiently.
Use Cases
GH200's 1979 TFLOPS FP16 and 96 GB HBM3 enable training models exceeding 70B parameters with large batches. RTX 5070's 40.6 TFLOPS and 12 GB VRAM fall short for scale.
GH200's 3958 TFLOPS FP8 and 4000 GB/s bandwidth support high-throughput quantized serving on massive models. RTX 5070 lacks FP8 specs for comparable efficiency.
RTX 5070's 40.6 TFLOPS FP32/FP16 handles small model adaptations at $0.08 per hour. GH200's capacity exceeds needs for sub-7B parameter fine-tuning.
RTX 5070's balanced 40.6 TFLOPS and 448 GB/s bandwidth accelerate image generation at low 250W TDP cost. GH200 overkill for consumer creative tasks.
GH200's 67 TFLOPS FP32 and NVLink-C2C scale simulations across clusters. RTX 5070's PCIe limits multi-node HPC viability.
Frequently Asked Questions
What is the VRAM difference between GH200 and RTX 5070?▾
GH200 provides 96 GB HBM3 VRAM, enabling massive models. RTX 5070 offers 12 GB GDDR7, suited for smaller workloads. This 8-fold gap impacts batch sizes in training.
How do cloud prices compare for GH200 vs RTX 5070?▾
GH200 starts at $1.99 per hour, averaging $3.59 across four offers. RTX 5070 begins at $0.08 per hour, averaging $0.17. Pricing reflects enterprise versus consumer scale.
Which GPU has higher FP16 performance?▾
GH200 achieves 1979 TFLOPS FP16, 49 times RTX 5070's 40.6 TFLOPS. This favors GH200 for AI training acceleration.
What are the memory bandwidth specs?▾
GH200 delivers 4000 GB/s with HBM3, supporting huge datasets. RTX 5070 provides 448 GB/s GDDR7 for lighter tasks. Bandwidth dictates inference throughput.
Is RTX 5070 better for gaming?▾
RTX 5070's 40.6 TFLOPS FP32 and 250W TDP optimize gaming at $0.17 per hour average. GH200's 900W SXM form skips consumer rendering.
Can GH200 be used in desktops?▾
GH200 uses SXM form factor with NVLink-C2C, restricting it to servers. RTX 5070 fits PCIe desktops directly.
Which is cheaper to rent, the GH200 or the RTX 5070?▾
Cloud rental prices for both the GH200 and RTX 5070 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 5070?▾
The GH200 has 96 GB of HBM3 memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find GH200 and RTX 5070 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 5070?▾
The GH200 uses the Hopper architecture (2023) while the RTX 5070 uses Blackwell (2025). The GH200 delivers 48.7x the FP16 throughput and 8.9x the memory bandwidth of the RTX 5070.