Specifications Compared
| Spec | H100 | RTX-5090 |
|---|---|---|
| TDP | 700W | 575W |
| VRAM | 80-94 GB | 32 GB |
| CUDA Cores | 16,896 | 21,760 |
| Memory Type | HBM3 | GDDR7 |
| Architecture | Hopper | Blackwell |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | PCIe 5.0 |
| Tensor Cores | 528 | 680 |
| FP8 Performance | 3,958 TFLOPS | 838 TFLOPS |
| FP16 Performance | 1,979 TFLOPS | 419 TFLOPS |
| FP32 Performance | 67 TFLOPS | 105 TFLOPS |
| FP64 Performance | 34 TFLOPS | 1.6 TFLOPS |
| INT8 Performance | 3,958 TOPS | 838 TOPS |
| Memory Bandwidth | 3,350 GB/s | 1,792 GB/s |
Performance Analysis
The H100 PCIe excels in FP16 performance at 1979 TFLOPS compared to the RTX 5090's 419 TFLOPS, enabling faster AI model training where half-precision arithmetic dominates. This gap translates to higher throughput for large neural networks, reducing training times significantly. In FP32, the RTX 5090 leads with 105 TFLOPS over the H100 PCIe'S 67 TFLOPS, suiting tasks needing single-precision accuracy like certain simulations.
Memory bandwidth defines workload feasibility: the H100 PCIe'S 3350 GB/s supports massive batch sizes in training, minimizing data bottlenecks, whereas the RTX 5090's 1792 GB/s limits scale for memory-intensive operations. VRAM capacity reinforces this: 80 to 94 GB on H100 PCIe fits entire large language models, avoiding fragmentation, while 32 GB on RTX 5090 requires optimizations for similar tasks.
FP8 performance follows suit, with H100 PCIe at 3958 TFLOPS versus 838 TFLOPS, accelerating inference on quantized models.
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 | ||
 Voltage Park | 8×NVIDIA H100 SXM5 80GB VRAM | 80GB | 208 vCPU 928GB RAM 19200GB Storage | Dallas, Texas | $1.99/GPU/hr $15.92/hr total (8×) |
RTX 5090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.57/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 8 vCPU 30GB RAM 502GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 583GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 495GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 619GB Storage | South Korea | $0.87/GPU/hr | Available |
When to Choose the H100 PCIe
Select the H100 PCIe for large-scale AI training and inference demanding high VRAM and compute density. Its 80 to 94 GB HBM3 handles models exceeding 32 GB, and 1979 TFLOPS FP16 accelerates iterations on datasets too vast for consumer GPUs. Datacenter interconnects like PCIe 5.0 and NVLink enable multi-GPU scaling unavailable on RTX 5090.
When to Choose the RTX 5090
Choose the RTX 5090 for budget-conscious AI prototyping, gaming, or creative workloads. At $0.13 per hour average $0.63 per hour, it delivers 105 TFLOPS FP32 for Stable Diffusion or fine-tuning small models within 32 GB GDDR7 limits. Lower 575W TDP suits edge deployments where cost trumps peak datacenter performance.
Use Cases
H100 PCIe offers 80 to 94 GB VRAM and 1979 TFLOPS FP16 to load and train massive models without multi-GPU complexity. RTX 5090's 32 GB limits batch sizes severely.
H100 PCIe 3958 TFLOPS FP8 and high bandwidth enable high-throughput serving of large models. RTX 5090 suffices for smaller deployments but scales poorly.
RTX 5090's 105 TFLOPS FP32 and low $0.13 per hour cost work for small datasets; H100 PCIe accelerates larger ones with 3350 GB/s bandwidth.
RTX 5090 handles image generation efficiently within 32 GB VRAM at $0.63 per hour average. H100 PCIe overkill for consumer-scale creative tasks.
RTX 5090's 105 TFLOPS FP32 excels in precision simulations at lower TDP of 575W. H100 PCIe better for parallel HPC but costlier.
Frequently Asked Questions
Which GPU has more VRAM?▾
The H100 PCIe provides 80 to 94 GB HBM3 VRAM, far exceeding the RTX 5090's 32 GB GDDR7. This makes H100 superior for large model hosting.
What are the FP16 performance differences?▾
H100 PCIe delivers 1979 TFLOPS FP16 versus RTX 5090's 419 TFLOPS. H100 accelerates AI training substantially more.
How do prices compare in the cloud?▾
H100 PCIe starts at $1.25 per hour averaging $2.61 per hour across 23 offers; RTX 5090 from $0.13 per hour averaging $0.63 per hour over 31 offers. RTX 5090 offers better value for light use.
Which has higher memory bandwidth?▾
H100 PCIe achieves 3350 GB/s compared to RTX 5090's 1792 GB/s. Higher bandwidth on H100 supports larger training batches.
What are the TDP ratings?▾
H100 PCIe consumes 700W TDP; RTX 5090 uses 575W. Lower TDP on RTX 5090 aids power-sensitive setups.
Which architecture is newer?▾
RTX 5090 uses Blackwell from 2025; H100 PCIe employs Hopper from 2022. Newer architecture brings efficiency gains to RTX 5090 in consumer tasks.
Which is cheaper to rent, the H100 or the RTX 5090?▾
Cloud rental prices for both the H100 and RTX 5090 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 5090?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 5090 has 32 GB of GDDR7 memory.
Can I find H100 and RTX 5090 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 5090?▾
The H100 uses the Hopper architecture (2022) while the RTX 5090 uses Blackwell (2025). The H100 delivers 4.7x the FP16 throughput and 1.9x the memory bandwidth of the RTX 5090.