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's FP16 performance reaches 1979 TFLOPS, far exceeding the RTX 5080's 56.3 TFLOPS, which accelerates low-precision tensor operations critical for neural network training. This gap means training large models completes faster on the H100: for instance, FP16 workloads see over 35 times the throughput. The H100's FP32 at 67 TFLOPS slightly edges the RTX 5080's 56.3 TFLOPS, but the real disparity lies in specialized FP8 at 3958 TFLOPS on H100, absent in RTX 5080 specs, benefiting inference on quantized models. Memory bandwidth defines practical limits: H100's 3350 GB/s supports batch sizes for models exceeding 16 GB VRAM, preventing out-of-memory errors common on RTX 5080 with its 960 GB/s and 16 GB capacity. In inference, higher bandwidth reduces latency for large inputs on H100. Power draw underscores efficiency: H100 at 700W suits dense clusters, while RTX 5080's 360W fits edge or single-node setups, though at reduced scale.
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 |
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
Choose the H100 for large-scale LLM training or inference requiring over 80 GB VRAM, as its 80 to 94 GB HBM3 handles models that exceed the RTX 5080's 16 GB limit. Multi-GPU setups benefit from NVLink and PCIe 5.0 interconnects, enabling 1979 TFLOPS FP16 scaling across nodes unavailable on the PCIe-only RTX 5080. Datacenter tasks with 3350 GB/s bandwidth justify the $3.14 per hour average cost for throughput gains.
When to Choose the RTX 5080
The RTX 5080 suits cost-sensitive inference or fine-tuning of small models under 16 GB VRAM, where its $0.25 per hour starting price undercuts H100 by over 70 percent. Gaming-adjacent tasks like Stable Diffusion leverage balanced 56.3 TFLOPS FP16 and FP32 at 360W TDP, ideal for single-node clouds without NVLink needs. Limited offers at $0.38 per hour average make it viable for prototyping.
Use Cases
H100's 80 to 94 GB VRAM and 1979 TFLOPS FP16 support massive models and large batch sizes via 3350 GB/s bandwidth. RTX 5080's 16 GB limits scale.
H100's FP8 at 3958 TFLOPS and high bandwidth enable low-latency serving of large models. RTX 5080 suffices only for models under 16 GB.
H100 accommodates full model loading with 80 GB VRAM for efficient 1979 TFLOPS FP16 operations. RTX 5080 risks memory constraints.
RTX 5080's 56.3 TFLOPS FP16 and 360W TDP handle image generation at low $0.38 per hour cost. H100 overkill for consumer-scale tasks.
H100's 67 TFLOPS FP32 and NVLink suit simulations needing high precision and multi-GPU. RTX 5080 lacks interconnect scale.
Frequently Asked Questions
Which GPU has more VRAM?▾
The H100 provides 80 to 94 GB HBM3 VRAM, compared to RTX 5080's 16 GB GDDR7. This enables H100 to load larger models without swapping. Bandwidth follows suit at 3350 GB/s versus 960 GB/s.
How do compute performances compare?▾
H100 delivers 1979 TFLOPS FP16 and 67 TFLOPS FP32, vastly outperforming RTX 5080's 56.3 TFLOPS in both. H100 adds 3958 TFLOPS FP8 for quantized inference. Training sees dramatic speedups on H100.
What are the cloud pricing differences?▾
H100 starts at $0.80 per hour averaging $3.14 across 57 offers, while RTX 5080 begins at $0.25 per hour averaging $0.38 over 4 offers. Budget users favor RTX 5080 for light tasks. Enterprise scales H100 value.
Which is better for AI training?▾
H100 excels with 1979 TFLOPS FP16 and 80 GB VRAM for large batch training. RTX 5080's 56.3 TFLOPS limits it to smaller models. Memory bandwidth of 3350 GB/s on H100 prevents bottlenecks.
What about power consumption?▾
H100 requires 700W TDP for datacenter density, versus RTX 5080's 360W for efficient single-node use. Lower TDP aids RTX 5080 in edge clouds. H100 suits high-throughput clusters.
Can RTX 5080 replace H100 in inference?▾
RTX 5080 works for models under 16 GB at 56.3 TFLOPS FP16, but H100's 3958 TFLOPS FP8 and 3350 GB/s bandwidth serve larger deployments faster. Cost favors RTX 5080 for prototypes.
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.