Specifications Compared
| Spec | H100 | RTX-4090 |
|---|---|---|
| TDP | 700W | 450W |
| VRAM | 80-94 GB | 24 GB |
| CUDA Cores | 16,896 | 16,384 |
| Memory Type | HBM3 | GDDR6X |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | PCIe 4.0 |
| Tensor Cores | 528 | 512 |
| FP8 Performance | 3,958 TFLOPS | 660 TFLOPS |
| FP16 Performance | 1,979 TFLOPS | 165 TFLOPS |
| FP32 Performance | 67 TFLOPS | 82.6 TFLOPS |
| FP64 Performance | 34 TFLOPS | 1.3 TFLOPS |
| INT8 Performance | 3,958 TOPS | 660 TOPS |
| Memory Bandwidth | 3,350 GB/s | 1,008 GB/s |
Performance Analysis
H100 vastly outpaces RTX 4090 in AI-relevant compute: 1979 TFLOPS FP16 on H100 supports rapid large-model training, where RTX 4090's 165 TFLOPS limits scale. FP32 stands at 67 TFLOPS for H100 versus 82.6 TFLOPS for RTX 4090, giving RTX 4090 a slight edge in graphics or single-precision tasks. FP8 at 3958 TFLOPS on H100 accelerates quantized inference far beyond RTX 4090's 660 TFLOPS.
Memory specs dictate real-world viability. H100's 3350 GB/s bandwidth and 80-94 GB HBM3 enable massive batch sizes in training, reducing overhead in LLMs exceeding 24 GB. RTX 4090's 1008 GB/s and 24 GB GDDR6X constrain it to smaller batches or models, risking out-of-memory errors on large datasets.
Power draw reflects deployment: H100's 700W TDP suits rack-scale clusters with NVLink, while RTX 4090's 450W fits PCIe desktops. For inference, H100 handles high-throughput serving; RTX 4090 excels in low-latency consumer inference.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 SXM5
| 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 4090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.39/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 64 vCPU 101GB RAM 140GB Storage | Iceland | $0.44/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 88GB RAM 106GB Storage | Iceland | $0.47/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Orlando, Florida | $0.48/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 101GB RAM 108GB Storage | Iceland | $0.53/GPU/hr | Available |
When to Choose the H100 SXM5
Choose H100 SXM5 for enterprise AI training or inference on models over 24 GB. Its 80-94 GB HBM3 VRAM and 3350 GB/s bandwidth support large batch sizes without splitting, ideal for LLMs like GPT-scale. NVLink interconnect enables multi-GPU scaling in clusters.
H100 fits HPC scientific computing needing 1979 TFLOPS FP16, where RTX 4090 falls short.
When to Choose the RTX 4090
Select RTX 4090 for budget-conscious prototyping or Stable Diffusion generation. At $0.16/hr minimum versus H100's $0.80/hr, it delivers value for tasks under 24 GB VRAM. 82.6 TFLOPS FP32 aids graphics rendering or fine-tuning small models.
RTX 4090 suits solo developers avoiding H100's 700W TDP and higher averages of $3.44/hr.
Use Cases
H100's 80-94 GB HBM3 VRAM and 1979 TFLOPS FP16 handle massive datasets and large batches. RTX 4090's 24 GB limits model size.
H100's 3958 TFLOPS FP8 and 3350 GB/s bandwidth support high-throughput serving of large models. RTX 4090 suits only smaller LLMs.
RTX 4090 works for models under 24 GB at low cost ($0.16/hr); H100 excels for larger ones needing 80-94 GB VRAM.
RTX 4090's 82.6 TFLOPS FP32 and 24 GB GDDR6X generate images efficiently at $0.46/hr average. H100 overkill for consumer diffusion.
H100's 1979 TFLOPS FP16 and NVLink scaling accelerate simulations. RTX 4090 lacks bandwidth for complex HPC workloads.
Frequently Asked Questions
Which has more VRAM: H100 SXM5 or RTX 4090?▾
H100 SXM5 provides 80-94 GB HBM3 VRAM. RTX 4090 offers 24 GB GDDR6X. This makes H100 suitable for models exceeding 24 GB.
What is the FP16 performance difference?▾
H100 SXM5 delivers 1979 TFLOPS FP16. RTX 4090 achieves 165 TFLOPS. H100 excels in AI training as a result.
How do cloud prices compare?▾
H100 SXM5 starts at $0.80/hr, average $3.44/hr across 35 offers. RTX 4090 from $0.16/hr, average $0.46/hr across 112 offers. RTX 4090 is far cheaper for entry-level use.
Is RTX 4090 good for LLM training?▾
RTX 4090 handles small LLMs with 24 GB VRAM. Larger models require H100's 80-94 GB and 3350 GB/s bandwidth.
What is the memory bandwidth gap?▾
H100 SXM5 reaches 3350 GB/s. RTX 4090 provides 1008 GB/s. Higher bandwidth on H100 supports bigger batches in training.
Which has higher TDP?▾
H100 SXM5 consumes 700W. RTX 4090 uses 450W. H100 demands robust cooling in datacenters.
Which is cheaper to rent, the H100 or the RTX 4090?▾
Cloud rental prices for both the H100 and RTX 4090 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 4090?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 4090 has 24 GB of GDDR6X memory.
Can I find H100 and RTX 4090 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 4090?▾
The H100 uses the Hopper architecture (2022) while the RTX 4090 uses Ada Lovelace (2022). The H100 delivers 12.0x the FP16 throughput and 3.3x the memory bandwidth of the RTX 4090.