Specifications Compared
| Spec | RTX-5090 | H100 |
|---|---|---|
| TDP | 575W | 700W |
| VRAM | 32 GB | 80-94 GB |
| CUDA Cores | 21,760 | 16,896 |
| Memory Type | GDDR7 | HBM3 |
| Architecture | Blackwell | Hopper |
| Form Factors | PCIe | SXM5, PCIe, NVL |
| Interconnect | PCIe 5.0 | NVLink, PCIe 5.0, InfiniBand |
| Tensor Cores | 680 | 528 |
| FP8 Performance | 838 TFLOPS | 3,958 TFLOPS |
| FP16 Performance | 419 TFLOPS | 1,979 TFLOPS |
| FP32 Performance | 105 TFLOPS | 67 TFLOPS |
| FP64 Performance | 1.6 TFLOPS | 34 TFLOPS |
| INT8 Performance | 838 TOPS | 3,958 TOPS |
| Memory Bandwidth | 1,792 GB/s | 3,350 GB/s |
Performance Analysis
The H100's superior FP16 performance of 1979 TFLOPS versus the RTX 5090's 419 TFLOPS translates to faster neural network training, where half-precision computations dominate. This gap allows the H100 to process larger batches and models efficiently during backpropagation. In FP8 inference, the H100's 3958 TFLOPS enables higher throughput for serving large language models compared to the RTX 5090's 838 TFLOPS.
Memory bandwidth differences prove critical: the H100's 3350 GB/s supports bigger batch sizes in training without bottlenecks, accommodating its 80 to 94 GB HBM3 VRAM for models exceeding 32 GB. The RTX 5090's 1792 GB/s GDDR7 limits it to smaller datasets. FP32 performance favors the RTX 5090 at 105 TFLOPS over 67 TFLOPS, benefiting scientific simulations requiring single-precision accuracy. Power draw reflects this: 700W TDP for H100 versus 575W for RTX 5090, influencing cloud costs in prolonged runs.
Interconnects matter for scaling: H100 supports NVLink and InfiniBand alongside PCIe 5.0 for multi-GPU clusters, while RTX 5090 relies solely on PCIe 5.0, restricting large-scale deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 | 384 vCPU 94GB RAM 570GB Storage | Czechia | $0.81/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 | 8 vCPU 30GB RAM 489GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 564GB Storage | South Korea | $0.91/GPU/hr | Available |
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 | ||
 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×) |
When to Choose the RTX 5090
The RTX 5090 suits cost-sensitive users running smaller AI models or inference tasks under 32 GB VRAM. Its pricing from $0.13 per hour average $0.55 per hour across 32 offers undercuts the H100's $0.80 per hour average $2.62 per hour, ideal for prototyping or development. Lower 575W TDP reduces operational costs in PCIe-only cloud instances.
Gaming-adjacent workloads like Stable Diffusion thrive on the RTX 5090's 105 TFLOPS FP32 and Blackwell architecture optimizations.
When to Choose the H100
The H100 excels in enterprise-scale training and inference demanding high VRAM and bandwidth. Its 80 to 94 GB HBM3 handles massive models, with 3350 GB/s bandwidth enabling large batch sizes. FP16 at 1979 TFLOPS and FP8 at 3958 TFLOPS accelerate LLM training far beyond the RTX 5090.
Multi-GPU setups benefit from NVLink and InfiniBand, supporting distributed computing unavailable on the PCIe-limited RTX 5090.
Use Cases
H100's 1979 TFLOPS FP16 and 80 to 94 GB HBM3 VRAM handle large-scale training with bigger batches via 3350 GB/s bandwidth. RTX 5090's 32 GB limits model size.
H100's 3958 TFLOPS FP8 supports high-throughput serving of massive models. Its VRAM capacity exceeds RTX 5090's 32 GB for production inference.
RTX 5090's lower cost from $0.13 per hour and 419 TFLOPS FP16 suffice for fine-tuning smaller models under 32 GB. H100 overkill for non-enterprise tasks.
RTX 5090's Blackwell architecture and 105 TFLOPS FP32 optimize image generation efficiently at average $0.55 per hour. Lower VRAM needs fit 32 GB GDDR7.
H100's NVLink interconnect and 3350 GB/s bandwidth enable multi-GPU simulations. Higher FP16 suits complex computations despite lower 67 TFLOPS FP32.
Frequently Asked Questions
Which GPU has more VRAM: RTX 5090 or H100?▾
The H100 provides 80 to 94 GB HBM3 VRAM, surpassing the RTX 5090's 32 GB GDDR7. This allows H100 to load larger models without swapping. RTX 5090 suffices for workloads under 32 GB.
How do FP16 performances compare between RTX 5090 and H100?▾
H100 delivers 1979 TFLOPS FP16, over four times the RTX 5090's 419 TFLOPS. This boosts training speed on H100. Inference also favors H100 in half-precision tasks.
What is the price difference in cloud rentals?▾
RTX 5090 starts at $0.13 per hour average $0.55 per hour across 32 offers, cheaper than H100's $0.80 per hour average $2.62 per hour across 22 offers. Budget users prefer RTX 5090. Enterprises value H100 performance.
Does H100 or RTX 5090 have higher memory bandwidth?▾
H100's 3350 GB/s exceeds RTX 5090's 1792 GB/s. Higher bandwidth on H100 supports larger batches in training. RTX 5090 handles moderate data flows adequately.
Which is better for multi-GPU setups?▾
H100 supports NVLink, PCIe 5.0, and InfiniBand for scaling, unlike RTX 5090's PCIe 5.0 only. This makes H100 ideal for clusters. RTX 5090 limits to single-node use.
Compare their power consumption.▾
H100 draws 700W TDP, higher than RTX 5090's 575W. This impacts cloud costs in long runs. RTX 5090 offers better efficiency for lighter workloads.
Which is cheaper to rent, the RTX 5090 or the H100?▾
Cloud rental prices for both the RTX 5090 and H100 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 RTX 5090 have compared to the H100?▾
The RTX 5090 has 32 GB of GDDR7 memory. The H100 has 80 to 94 GB of HBM3 memory.
Can I find RTX 5090 and H100 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 RTX 5090 and the H100?▾
The RTX 5090 uses the Blackwell architecture (2025) while the H100 uses Hopper (2022). The H100 delivers 4.7x the FP16 throughput and 1.9x the memory bandwidth of the RTX 5090.