Specifications Compared
| Spec | H100 | RTX-4080 |
|---|---|---|
| TDP | 700W | 320W |
| VRAM | 80-94 GB | 16 GB |
| CUDA Cores | 16,896 | 9,728 |
| Memory Type | HBM3 | GDDR6X |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 304 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 67 TFLOPS | 48.7 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 780 TOPS |
| Memory Bandwidth | 3,350 GB/s | 717 GB/s |
Performance Analysis
The H100 PCIe dominates in AI-specific compute: its 1979 TFLOPS FP16 vastly exceeds RTX 4080's 48.7 TFLOPS, accelerating training and inference in mixed-precision workflows common in deep learning. The H100's FP32 at 67 TFLOPS edges out RTX 4080's 48.7 TFLOPS, but the real gap lies in FP8 at 3958 TFLOPS, enabling quantized inference at scales RTX 4080 cannot match. This FP16 to FP32 delta means H100 optimizes for tensor-heavy AI, while RTX 4080 balances graphics and general compute.
Memory specs reshape real-world usage: H100's 80 to 94 GB HBM3 supports models exceeding 16 GB GDDR6X on RTX 4080, preventing out-of-memory errors in large language models. Bandwidth at 3350 GB/s versus 717 GB/s allows H100 to process larger batch sizes, reducing training epochs by sustaining higher throughput. RTX 4080 handles smaller batches adequately but bottlenecks on data-intensive tasks.
Power draw underscores deployment differences: H100's 700W TDP demands robust cooling for dense racks, contrasting RTX 4080's efficient 320W for cost-sensitive, lower-density clouds.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 PCIe
| 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 4080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the H100 PCIe
Select the H100 PCIe for large-scale AI training and inference where 80 to 94 GB VRAM loads massive models intact: RTX 4080's 16 GB falls short for datasets over 70 GB. Its 3350 GB/s bandwidth sustains batch sizes 4 times higher than RTX 4080's 717 GB/s, slashing iteration times in LLM development.
Multi-GPU clusters benefit from H100's NVLink and PCIe 5.0, enabling 1979 TFLOPS FP16 scaling across nodes unavailable on RTX 4080.
When to Choose the RTX 4080
Opt for RTX 4080 in budget prototyping or gaming-adjacent tasks: at $0.11 per hour average $0.26, it undercuts H100's $1.25 to $2.62 by 90 percent. Its 48.7 TFLOPS FP16 suffices for fine-tuning models under 16 GB VRAM.
Lower 320W TDP fits edge or small-instance clouds, avoiding H100's 700W infrastructure costs for Stable Diffusion or inference on modest payloads.
Use Cases
H100's 80 to 94 GB VRAM and 1979 TFLOPS FP16 manage billion-parameter models and large batches RTX 4080's 16 GB and 48.7 TFLOPS cannot. Bandwidth of 3350 GB/s accelerates data movement over 717 GB/s.
H100 supports high-concurrency inference with 3958 TFLOPS FP8 and 3350 GB/s bandwidth for large models. RTX 4080 limits scale at 16 GB VRAM.
H100's 80 GB VRAM fits full model checkpoints during fine-tuning, with 1979 TFLOPS FP16 speeding convergence. RTX 4080 risks swapping at 16 GB.
RTX 4080's 48.7 TFLOPS FP16 and 16 GB VRAM handle image generation pipelines at $0.11 per hour. H100 overkill for sub-10 GB workloads.
H100's 67 TFLOPS FP32 and 3350 GB/s bandwidth excel in simulations needing high precision and data throughput. RTX 4080's equal 48.7 TFLOPS FP16/FP32 limits complex grids.
Frequently Asked Questions
Which GPU has more VRAM: H100 PCIe or RTX 4080?▾
The H100 PCIe offers 80 to 94 GB HBM3 VRAM, compared to RTX 4080's 16 GB GDDR6X. This enables H100 to process models five times larger without fragmentation. RTX 4080 suits smaller datasets under 16 GB.
What are the cloud rental prices for H100 PCIe versus RTX 4080?▾
H100 PCIe rents from $1.25 per hour averaging $2.62 across 23 offers, while RTX 4080 starts at $0.11 per hour averaging $0.26 across 5 offers. The 10-fold price gap reflects H100's datacenter capabilities. Budget tasks favor RTX 4080.
Is H100 better for AI training than RTX 4080?▾
H100 excels with 1979 TFLOPS FP16 versus RTX 4080's 48.7 TFLOPS, plus 80 GB VRAM for large batches. Training times drop significantly on H100 due to 3350 GB/s bandwidth. RTX 4080 fits prototyping only.
How do memory bandwidths compare between H100 PCIe and RTX 4080?▾
H100 PCIe provides 3350 GB/s, over 4 times RTX 4080's 717 GB/s. Higher bandwidth on H100 supports larger batch sizes in training. RTX 4080 suffices for inference on modest scales.
What is the TDP difference for these GPUs?▾
H100 PCIe consumes 700W TDP, double RTX 4080's 320W. H100 requires enterprise cooling for clusters. RTX 4080 enables denser, cheaper deployments.
Which architecture powers H100 versus RTX 4080?▾
H100 uses Hopper from 2022 optimized for AI with FP8 support at 3958 TFLOPS. RTX 4080 employs Ada Lovelace for balanced graphics-compute at 48.7 TFLOPS FP16/FP32. Hopper prioritizes tensor operations.
Which is cheaper to rent, the H100 or the RTX 4080?▾
Cloud rental prices for both the H100 and RTX 4080 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 4080?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find H100 and RTX 4080 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 4080?▾
The H100 uses the Hopper architecture (2022) while the RTX 4080 uses Ada Lovelace (2022). The H100 delivers 40.6x the FP16 throughput and 4.7x the memory bandwidth of the RTX 4080.