Specifications Compared
| Spec | H100 | RTX-4500-ADA |
|---|---|---|
| TDP | 700W | 210W |
| VRAM | 80-94 GB | 24 GB |
| CUDA Cores | 16,896 | 7,680 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 240 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 39.6 TFLOPS |
| FP32 Performance | 67 TFLOPS | 39.6 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 634 TOPS |
| Memory Bandwidth | 3,350 GB/s | 432 GB/s |
Performance Analysis
The H100's FP16 throughput of 1979 TFLOPS vastly outpaces the RTX 4500 Ada's 39.6 TFLOPS, accelerating deep learning training where mixed-precision computations dominate. For inference, the H100's FP8 capability at 3958 TFLOPS enables ultra-fast serving of large language models, while the RTX 4500 Ada's balanced FP16 and FP32 at 39.6 TFLOPS each suits smaller-scale deployments. The H100's FP32 at 67 TFLOPS also exceeds the RTX 4500 Ada's 39.6 TFLOPS, benefiting scientific simulations requiring single-precision math.
Memory differences profoundly affect real-world usage: the H100's 80 to 94 GB HBM3 supports batch sizes for models exceeding 24 GB, preventing out-of-memory errors in LLM training. Its 3350 GB/s bandwidth sustains high throughput for massive datasets, whereas the RTX 4500 Ada's 432 GB/s and 24 GB limit it to modest batch sizes and smaller models. Power draw reflects this: H100 at 700W demands robust cooling, while RTX 4500 Ada's 210W fits standard workstations.
Interconnects highlight datacenter readiness: H100 supports NVLink, PCIe 5.0, and InfiniBand for multi-GPU scaling, absent in the PCIe-only RTX 4500 Ada.
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 4500 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4500 Ada 24GB VRAM | 24GB | 0 vCPU 0GB RAM | 🌍global | $0.74/GPU/hr |
When to Choose the H100
Choose the H100 for large-scale AI training and inference where models demand over 24 GB VRAM, such as billion-parameter LLMs: its 80 to 94 GB HBM3 and 3350 GB/s bandwidth enable massive batch sizes without swapping. Enterprise environments benefit from 1979 TFLOPS FP16 and NVLink for distributed training across clusters.
High-performance computing tasks leverage the H100's 3958 TFLOPS FP8 for rapid inference and 67 TFLOPS FP32 for simulations, justifying $0.80 to $3.16 per hour pricing when throughput is paramount.
When to Choose the RTX 4500 Ada
Opt for the RTX 4500 Ada in budget-limited professional workflows like visualization or small-scale ML: its 24 GB GDDR6 and $0.34 per hour starting price deliver value at 39.6 TFLOPS FP16/FP32. The 210W TDP integrates easily into workstations without specialized infrastructure.
It excels for prototyping, fine-tuning sub-24 GB models, or Stable Diffusion where 432 GB/s bandwidth suffices, avoiding the H100's 700W demands and higher costs.
Use Cases
H100's 80-94 GB HBM3 and 1979 TFLOPS FP16 handle massive models and large batches. RTX 4500 Ada's 24 GB limits scale.
3958 TFLOPS FP8 on H100 accelerates high-throughput serving. RTX 4500 Ada's 39.6 TFLOPS suits only small models.
H100's 3350 GB/s bandwidth supports efficient large-model tuning. RTX 4500 Ada works for models under 24 GB.
RTX 4500 Ada's 39.6 TFLOPS FP16 and 24 GB VRAM generate images efficiently at low cost. H100 overkill for single-user tasks.
H100's 67 TFLOPS FP32 and NVLink enable complex simulations. RTX 4500 Ada's lower specs constrain large datasets.
Frequently Asked Questions
What is the VRAM difference between H100 and RTX 4500 Ada?▾
H100 provides 80 to 94 GB HBM3, far exceeding RTX 4500 Ada's 24 GB GDDR6. This allows H100 to load larger models without issues. RTX 4500 Ada suits smaller workloads.
How do cloud prices compare for these GPUs?▾
H100 starts at $0.80 per hour, averaging $3.16 across 58 offers. RTX 4500 Ada begins at $0.34 per hour, averaging $0.51 over 3 offers. Pricing reflects performance disparity.
Which has higher FP16 performance?▾
H100 achieves 1979 TFLOPS FP16, over 50 times RTX 4500 Ada's 39.6 TFLOPS. This gap accelerates AI training significantly. Inference also favors H100.
What are the power requirements?▾
H100 draws 700W TDP, needing datacenter cooling. RTX 4500 Ada uses 210W, fitting standard PCIe workstations. Power scales with capability.
Can RTX 4500 Ada handle LLM inference?▾
RTX 4500 Ada manages small LLMs with 24 GB VRAM and 39.6 TFLOPS FP16. Larger models require H100's 80-94 GB and 3958 TFLOPS FP8. Choose based on model size.
What architectures do they use?▾
H100 uses Hopper from 2022 optimized for AI. RTX 4500 Ada employs Ada Lovelace from 2023 for professional graphics. Hopper excels in compute density.
Which is cheaper to rent, the H100 or the RTX 4500 Ada?▾
Cloud rental prices for both the H100 and RTX 4500 Ada 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 4500 Ada?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 4500 Ada has 24 GB of GDDR6 memory.
Can I find H100 and RTX 4500 Ada 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 4500 Ada?▾
The H100 uses the Hopper architecture (2022) while the RTX 4500 Ada uses Ada Lovelace (2023). The H100 delivers 50.0x the FP16 throughput and 7.8x the memory bandwidth of the RTX 4500 Ada.