Specifications Compared
| Spec | H100 | RTX-5080 |
|---|---|---|
| TDP | 700W | 360W |
| VRAM | 80-94 GB | 16 GB |
| CUDA Cores | 16,896 | 10,752 |
| Memory Type | HBM3 | GDDR7 |
| Architecture | Hopper | Blackwell |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 336 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 56.3 TFLOPS |
| FP32 Performance | 67 TFLOPS | 56.3 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 900 TOPS |
| Memory Bandwidth | 3,350 GB/s | 960 GB/s |
Performance Analysis
The H100 NVL dominates in FP16 at 1979 TFLOPS compared to the RTX 5080's 56.3 TFLOPS, enabling faster AI model training where tensor operations prevail. Its FP32 of 67 TFLOPS slightly exceeds the RTX 5080's 56.3 TFLOPS, but the real gap lies in memory: 3350 GB/s bandwidth on H100 NVL supports larger batch sizes in training, reducing time for datasets that overwhelm the RTX 5080's 960 GB/s and 16 GB VRAM. For inference, H100 NVL's FP8 at 3958 TFLOPS accelerates quantized models, handling enterprise-scale deployments. The RTX 5080's balanced FP16 and FP32 suit real-time tasks like gaming or small inference, but its lower VRAM limits concurrent requests. Power efficiency favors RTX 5080 at 360W, ideal for edge computing, while H100 NVL's 700W demands robust cooling for sustained 24/7 operation.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 NVL
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Hyperstack | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 124 vCPU 720GB RAM 3300GB Storage | Canada | $1.90/GPU/hr $7.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 60 vCPU 360GB RAM 1600GB Storage | Canada | $1.90/GPU/hr $3.80/hr total (2×) | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.90/GPU/hr $15.20/hr total (8×) | Available | ||
Hyperstack | NVIDIA H100 PCIe 80GB VRAM | 80GB | 28 vCPU 180GB RAM 850GB Storage | Canada | $1.90/GPU/hr | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.95/GPU/hr $15.60/hr total (8×) | Available |
RTX 5080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 5080 16GB VRAM | 16GB | 0 vCPU 0GB RAM | 🌍global | $0.59/GPU/hr |
When to Choose the H100 NVL
Choose the H100 NVL for LLM training or fine-tuning large models exceeding 16 GB VRAM, leveraging its 80 to 94 GB HBM3 and 3350 GB/s bandwidth for massive batches. Its 1979 TFLOPS FP16 and 3958 TFLOPS FP8 excel in data center environments with NVLink interconnects, justifying $1.40 to $2.89 per hour for high-throughput workloads.
When to Choose the RTX 5080
Opt for the RTX 5080 in budget-conscious inference, Stable Diffusion, or gaming-integrated AI at $0.25 to $0.38 per hour. Its 16 GB GDDR7 and 56.3 TFLOPS across FP16/FP32 handle prosumer tasks efficiently on PCIe with 360W TDP, avoiding H100 NVL's enterprise overhead.
Use Cases
H100 NVL's 1979 TFLOPS FP16 and 80 to 94 GB HBM3 VRAM enable training massive models with large batches. RTX 5080's 16 GB limits scale.
H100 NVL's 3958 TFLOPS FP8 and high bandwidth support high-concurrency quantized inference. RTX 5080 suits only small-scale deployments.
80 to 94 GB VRAM on H100 NVL accommodates full model fine-tuning without offloading. RTX 5080's 16 GB restricts to smaller adapters.
RTX 5080's 56.3 TFLOPS FP32 and 360W efficiency excel in image generation at low cost. H100 NVL overkill for consumer creative tasks.
H100 NVL's 3350 GB/s bandwidth and NVLink handle simulations with large datasets. RTX 5080 adequate only for modest computations.
Frequently Asked Questions
Which GPU has more VRAM: H100 NVL or RTX 5080?▾
The H100 NVL offers 80 to 94 GB HBM3 VRAM, far exceeding the RTX 5080's 16 GB GDDR7. This makes H100 NVL better for memory-intensive AI tasks.
What is the performance difference in FP16?▾
H100 NVL delivers 1979 TFLOPS FP16 versus RTX 5080's 56.3 TFLOPS, a roughly 35-fold advantage for training. RTX 5080 balances better with FP32 at the same rate.
How do prices compare for cloud rental?▾
H100 NVL starts at $1.40 per hour averaging $2.89 across nine offers, while RTX 5080 is $0.25 per hour averaging $0.38 across four. RTX 5080 wins on cost for light use.
Which has higher memory bandwidth?▾
H100 NVL provides 3350 GB/s, over three times the RTX 5080's 960 GB/s. This impacts batch sizes in deep learning pipelines.
What are the TDPs of these GPUs?▾
H100 NVL requires 700W TDP for data center use, compared to RTX 5080's 360W for efficient PCIe deployment. Lower TDP aids RTX 5080 in power-sensitive setups.
Is RTX 5080 good for AI training?▾
RTX 5080's 56.3 TFLOPS FP16 suits small-scale training, but H100 NVL's 1979 TFLOPS and vast VRAM dominate large models. Choose based on model size.
Which is cheaper to rent, the H100 or the RTX 5080?▾
Cloud rental prices for both the H100 and RTX 5080 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 H100 have compared to the RTX 5080?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 5080 has 16 GB of GDDR7 memory.
Can I find H100 and RTX 5080 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 H100 and the RTX 5080?▾
The H100 uses the Hopper architecture (2022) while the RTX 5080 uses Blackwell (2025). The H100 delivers 35.2x the FP16 throughput and 3.5x the memory bandwidth of the RTX 5080.