Specifications Compared
| Spec | H100 | RTX-3080 |
|---|---|---|
| TDP | 700W | 320W |
| VRAM | 80-94 GB | 10-12 GB |
| CUDA Cores | 16,896 | 8,704 |
| Memory Type | HBM3 | GDDR6X |
| Architecture | Hopper | Ampere |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 272 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 29.8 TFLOPS |
| FP32 Performance | 67 TFLOPS | 29.8 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 760 GB/s |
Performance Analysis
The H100 NVL dominates in raw compute: its 1979 TFLOPS FP16 and 3958 TFLOPS FP8 vastly outpace the RTX 3080's 29.8 TFLOPS FP16, accelerating AI training and inference by orders of magnitude. The FP16 to FP32 ratio on H100 NVL, 1979 TFLOPS to 67 TFLOPS, optimizes mixed-precision training common in deep learning, reducing memory use while maintaining accuracy. RTX 3080's equal 29.8 TFLOPS across FP16 and FP32 suits general graphics but limits scalability.
Memory bandwidth reveals key trade-offs: H100 NVL's 3350 GB/s supports enormous batch sizes in model training, minimizing data loading bottlenecks for large language models. RTX 3080's 760 GB/s constrains batch sizes, slowing iterations on datasets exceeding 10 GB VRAM. Higher TDP of 700W on H100 NVL versus 320W on RTX 3080 reflects datacenter cooling needs but enables sustained peak performance.
These specs translate to real-world gains: H100 NVL handles multi-trillion parameter models, while RTX 3080 fits smaller inference or gaming at lower costs.
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 |
When to Choose the H100 NVL
Select the NVIDIA H100 NVL for large-scale AI training and inference requiring over 80 GB VRAM, such as full fine-tuning of billion-parameter LLMs. Its 3350 GB/s bandwidth and 1979 TFLOPS FP16 enable processing massive batches without overflow, ideal for enterprise research or production deployments.
Datacenter interconnects like NVLink and PCIe 5.0 on H100 NVL facilitate multi-GPU scaling, outperforming RTX 3080's single PCIe setup in distributed computing.
When to Choose the RTX 3080
Opt for the NVIDIA GeForce RTX 3080 in budget-conscious scenarios like gaming, lightweight inference, or Stable Diffusion with models under 10 GB VRAM. At $0.06 per hour, it delivers 29.8 TFLOPS FP32 for real-time rendering or small-scale ML at a fraction of H100 NVL's $1.40 per hour cost.
Its 320W TDP suits edge deployments or personal workstations where power efficiency trumps peak throughput.
Use Cases
H100 NVL's 80-94 GB HBM3 VRAM and 1979 TFLOPS FP16 handle trillion-parameter models with large batches. RTX 3080's 10-12 GB VRAM causes out-of-memory errors.
H100 NVL supports high-concurrency inference via 3958 TFLOPS FP8 and 3350 GB/s bandwidth. RTX 3080 suffices only for tiny models under 10 GB.
The 67 TFLOPS FP32 and vast VRAM on H100 NVL enable efficient fine-tuning of large models. RTX 3080 limits to small adapters due to memory constraints.
RTX 3080's 10-12 GB GDDR6X and 29.8 TFLOPS FP16 generate images quickly at $0.06 per hour. H100 NVL overkill for typical 512x512 resolutions.
H100 NVL's 3350 GB/s bandwidth accelerates simulations with large datasets. RTX 3080's 760 GB/s bottlenecks complex HPC workloads.
Frequently Asked Questions
Which GPU has more VRAM: H100 NVL or RTX 3080?▾
The H100 NVL provides 80 to 94 GB HBM3 VRAM, dwarfing the RTX 3080's 10 to 12 GB GDDR6X. This enables H100 NVL to load massive models without swapping. RTX 3080 suits smaller tasks fitting within 10 GB.
How do H100 NVL and RTX 3080 compare in FP16 performance?▾
H100 NVL achieves 1979 TFLOPS FP16, over 66 times the RTX 3080's 29.8 TFLOPS. This gap accelerates AI training significantly on H100 NVL. RTX 3080 performs adequately for consumer inference.
What are the cloud rental prices for these GPUs?▾
H100 NVL rents from $1.40 per hour, averaging $2.89 per hour across nine offers. RTX 3080 starts at $0.06 per hour, averaging $0.13 per hour over four offers. Price reflects H100 NVL's datacenter capabilities.
Is H100 NVL better for LLM training than RTX 3080?▾
Yes, H100 NVL's 3350 GB/s bandwidth and 80 GB VRAM support large-batch LLM training. RTX 3080's 760 GB/s and 10 GB limit it to toy models. Expect 50x faster training times on H100 NVL.
What is the power consumption difference?▾
H100 NVL draws 700W TDP, requiring datacenter power infrastructure. RTX 3080 uses 320W, fitting consumer setups. Higher TDP on H100 NVL sustains peak 1979 TFLOPS FP16.
Can RTX 3080 handle Stable Diffusion like H100 NVL?▾
RTX 3080 generates images effectively with 29.8 TFLOPS FP16 and 10 GB VRAM at low cost. H100 NVL excels in high-resolution batches but costs 20x more per hour. Choose RTX 3080 for hobbyist use.
Which is cheaper to rent, the H100 or the RTX 3080?▾
Cloud rental prices for both the H100 and RTX 3080 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 3080?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.
Can I find H100 and RTX 3080 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 3080?▾
The H100 uses the Hopper architecture (2022) while the RTX 3080 uses Ampere (2020). The H100 delivers 66.4x the FP16 throughput and 4.4x the memory bandwidth of the RTX 3080.