Specifications Compared
| Spec | H100 | RTX-3090 |
|---|---|---|
| TDP | 700W | 350W |
| VRAM | 80-94 GB | 24 GB |
| CUDA Cores | 16,896 | 10,496 |
| Memory Type | HBM3 | GDDR6X |
| Architecture | Hopper | Ampere |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink |
| Tensor Cores | 528 | 328 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 35.6 TFLOPS |
| FP32 Performance | 67 TFLOPS | 35.6 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 936 GB/s |
Performance Analysis
The H100 SXM5's FP16 performance of 1979 TFLOPS vastly outpaces the RTX 3090 Ti's 35.6 TFLOPS: this enables deep learning training to run up to 55 times faster on the H100 for tensor-heavy operations. FP32 performance follows suit at 67 TFLOPS versus 35.6 TFLOPS, benefiting scientific simulations. Inference benefits similarly from FP8 at 3958 TFLOPS on H100, unavailable on the 3090 Ti.
Memory bandwidth defines practical limits: 3350 GB/s on H100 supports massive batch sizes in training, reducing iterations needed, while 936 GB/s on 3090 Ti constrains them for large models. The H100's 80 to 94 GB VRAM accommodates datasets and models exceeding 24 GB, preventing out-of-memory errors common on the 3090 Ti during LLM fine-tuning or diffusion model generation.
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 | ||
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 3090 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Wilmington, Delaware | $0.20/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Dallas, Texas | $0.21/GPU/hr | Available | ||
 Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 403GB RAM 153GB Storage | Iceland | $0.25/GPU/hr $1.01/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 252GB RAM 1440GB Storage | Finland | $0.27/GPU/hr $1.07/hr total (4×) | Available | ||
 LeaderGPU | 8×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.29/GPU/hr $2.29/hr total (8×) | Available |
When to Choose the H100 SXM5
Select the H100 SXM5 for enterprise-scale AI training and inference: its 1979 TFLOPS FP16 and 80 to 94 GB HBM3 VRAM handle LLMs with billions of parameters without splitting across GPUs. High memory bandwidth of 3350 GB/s ensures efficient large-batch processing in datacenter environments.
When to Choose the RTX 3090 Ti
Opt for the RTX 3090 Ti in cost-sensitive prototyping or gaming-adjacent tasks: at $0.10 per hour average $0.25, its 35.6 TFLOPS FP16 suffices for Stable Diffusion or small model fine-tuning on 24 GB VRAM. Lower 350W TDP fits consumer setups without extensive cooling.
Use Cases
H100's 1979 TFLOPS FP16 and 80-94 GB VRAM enable training massive LLMs efficiently. RTX 3090 Ti's 35.6 TFLOPS and 24 GB limit scale.
H100's 3958 TFLOPS FP8 and 3350 GB/s bandwidth deliver high-throughput inference for production. 3090 Ti struggles with large batches.
RTX 3090 Ti handles small-to-medium models on 24 GB VRAM at low $0.10/hr cost. H100 excels for parameter-heavy fine-tuning.
RTX 3090 Ti's 35.6 TFLOPS FP16 generates images quickly on consumer setups. H100 overkill for typical diffusion tasks.
H100's 67 TFLOPS FP32 outperforms 3090 Ti's 35.6 TFLOPS for simulations. Vast VRAM aids complex datasets.
Frequently Asked Questions
What is the VRAM capacity of H100 SXM5 versus RTX 3090 Ti?▾
H100 SXM5 provides 80 to 94 GB HBM3 VRAM. RTX 3090 Ti offers 24 GB GDDR6X. This gap suits H100 for large models.
How do cloud prices compare?▾
H100 SXM5 starts at $0.80 per hour, averaging $3.58 across 34 offers. RTX 3090 Ti begins at $0.10 per hour, averaging $0.25 across 5 offers.
Which has higher FP16 performance?▾
H100 SXM5 achieves 1979 TFLOPS FP16. RTX 3090 Ti reaches 35.6 TFLOPS. H100 accelerates training dramatically.
What are the TDPs?▾
H100 SXM5 consumes 700W. RTX 3090 Ti uses 350W. Lower TDP aids 3090 Ti in power-limited environments.
How does memory bandwidth differ?▾
H100 SXM5 delivers 3350 GB/s. RTX 3090 Ti provides 936 GB/s. Higher bandwidth on H100 supports bigger batches.
What architectures power these GPUs?▾
H100 SXM5 uses Hopper from 2022. RTX 3090 Ti employs Ampere from 2020. Hopper advances enable H100's superior compute.
Which is cheaper to rent, the H100 or the RTX 3090?▾
Cloud rental prices for both the H100 and RTX 3090 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 3090?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 3090 has 24 GB of GDDR6X memory.
Can I find H100 and RTX 3090 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 3090?▾
The H100 uses the Hopper architecture (2022) while the RTX 3090 uses Ampere (2020). The H100 delivers 55.6x the FP16 throughput and 3.6x the memory bandwidth of the RTX 3090.