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's FP16 throughput of 1979 TFLOPS vastly outpaces the RTX 3080's 29.8 TFLOPS, approximately 66 times higher, accelerating half-precision training and inference in deep learning models. FP32 performance shows the H100 at 67 TFLOPS against 29.8 TFLOPS, more than doubling single-precision computations for scientific simulations. This delta means training large neural networks completes far quicker on the H100, often in hours rather than days.
Memory capacity defines feasibility: 80 to 94 GB on the H100 supports massive batch sizes for models exceeding 10 GB, while the RTX 3080's 10 to 12 GB limits users to smaller batches or model pruning. Bandwidth of 3350 GB/s versus 760 GB/s reduces bottlenecks in data-heavy operations like transformer processing, allowing larger effective throughputs on the H100.
Power draw highlights trade-offs: the H100's 700W TDP demands robust cooling and infrastructure, contrasting the RTX 3080's efficient 320W. In real-world terms, the H100 excels in production-scale AI pipelines, whereas the RTX 3080 suits lightweight prototyping where speed suffices at lower costs.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100
| 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
Opt for the H100 in large-scale machine learning training requiring over 12 GB VRAM, such as full LLM pretraining, where its 1979 TFLOPS FP16 and 80 to 94 GB HBM3 enable handling models with billions of parameters. High memory bandwidth of 3350 GB/s supports enormous batch sizes, reducing training epochs significantly.
Enterprise inference deployments benefit from the H100's FP8 capability at 3958 TFLOPS and NVLink interconnects for multi-GPU scaling, ideal when latency under seconds per query matters across high volumes.
When to Choose the RTX 3080
The RTX 3080 fits budget-conscious prototyping and fine-tuning of small models under 10 GB, leveraging its 29.8 TFLOPS FP16 at an average $0.15 per hour. Its 320W TDP and PCIe form factor simplify integration in personal or small cloud setups.
Gaming-adjacent tasks like Stable Diffusion generation thrive on the RTX 3080's GDDR6X efficiency, where 760 GB/s bandwidth handles typical image synthesis without excess capacity.
Use Cases
The H100's 1979 TFLOPS FP16 and 80 to 94 GB VRAM handle massive datasets and parameters, enabling efficient training of large language models. The RTX 3080's 10 to 12 GB restricts batch sizes severely.
H100 FP8 at 3958 TFLOPS supports high-throughput serving of billion-parameter models. RTX 3080 lacks capacity for production-scale inference.
Small fine-tuning tasks fit RTX 3080's 10 to 12 GB VRAM at low $0.15 per hour cost. Larger adaptations require H100's 80 GB for bigger batches.
RTX 3080's 29.8 TFLOPS and 760 GB/s bandwidth suffice for image generation at $0.06 per hour starts. H100 overkill for consumer-scale diffusion.
H100's 67 TFLOPS FP32 and 3350 GB/s bandwidth accelerate simulations with large matrices. RTX 3080 limits complex computations.
Frequently Asked Questions
How much faster is H100 than RTX 3080 in FP16?▾
The H100 achieves 1979 TFLOPS in FP16 compared to the RTX 3080's 29.8 TFLOPS, roughly 66 times higher. This translates to dramatically shorter training times for AI models. Real-world speedups depend on memory-bound tasks.
Can RTX 3080 handle large LLMs?▾
RTX 3080's 10 to 12 GB VRAM limits it to models under that threshold, requiring quantization. H100's 80 to 94 GB supports full-precision giants. Use RTX 3080 for prototyping only.
What is the price difference in cloud?▾
H100 averages $3.14 per hour from $0.80, across 57 offers. RTX 3080 averages $0.15 per hour from $0.06, over 10 offers. RTX 3080 offers 20 times cheaper hourly rates.
H100 vs RTX 3080 memory bandwidth?▾
H100 provides 3350 GB/s with HBM3, over 4 times the RTX 3080's 760 GB/s GDDR6X. This boosts data throughput for ML pipelines. Bandwidth gaps widen in large-batch training.
Power consumption comparison?▾
H100 TDP is 700W, demanding data center power. RTX 3080 uses 320W, suitable for desktops. Higher H100 power enables its superior 1979 TFLOPS FP16.
Best for Stable Diffusion?▾
RTX 3080 excels with 29.8 TFLOPS at low cost for image generation. H100 unnecessary unless scaling to enterprise volumes. Consumer tasks favor RTX 3080 efficiency.
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.