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 SXM5 outperforms the RTX 4500 Ada dramatically in compute throughput: its 1979 TFLOPS FP16 capability supports accelerated neural network training, where the RTX 4500 Ada's 39.6 TFLOPS limits speed on large models. For FP32 tasks common in scientific simulations, the H100 achieves 67 TFLOPS versus 39.6 TFLOPS, enabling faster iterations. The H100's FP8 performance at 3958 TFLOPS further excels in low-precision inference scenarios. Memory specifications amplify these advantages: 80 to 94 GB HBM3 with 3350 GB/s bandwidth on the H100 permits massive batch sizes in training and inference, reducing overhead from data swaps, whereas the RTX 4500 Ada's 24 GB GDDR6 and 432 GB/s constrain it to smaller datasets. Power draw underscores the disparity, with the H100's 700W TDP demanding robust cooling and infrastructure compared to the 210W RTX 4500 Ada. These differences translate to real-world efficiency gains for the H100 in memory-intensive AI pipelines.
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 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 SXM5
The H100 SXM5 suits large-scale AI training and inference where 80 to 94 GB VRAM handles models exceeding 24 GB capacities. Its 3350 GB/s bandwidth and NVLink interconnect enable multi-GPU scaling via PCIe 5.0 or InfiniBand, ideal for distributed clusters. At $0.80 per hour starting price, it justifies investment for production workloads demanding 1979 TFLOPS FP16 throughput.
When to Choose the RTX 4500 Ada
The RTX 4500 Ada fits prototyping, fine-tuning smaller models, or inference on datasets under 24 GB VRAM. Its 210W TDP simplifies deployment in standard PCIe workstations without specialized power setups. With pricing from $0.34 per hour, it offers economical access to 39.6 TFLOPS FP16 performance for individual developers or low-volume tasks.
Use Cases
The H100 SXM5's 1979 TFLOPS FP16 and 80 to 94 GB HBM3 VRAM support massive batch sizes for training large language models. The RTX 4500 Ada's 24 GB GDDR6 limits scalability.
H100 SXM5 excels with 3958 TFLOPS FP8 and 3350 GB/s bandwidth for high-throughput inference on voluminous models. RTX 4500 Ada's 39.6 TFLOPS FP16 falls short for production demands.
Smaller fine-tuning tasks fit the RTX 4500 Ada's 24 GB VRAM and 39.6 TFLOPS, while larger ones require H100 SXM5's 80 to 94 GB capacity. Choice depends on model size.
RTX 4500 Ada's 24 GB GDDR6 suffices for image generation workflows at 39.6 TFLOPS FP16. H100 SXM5's 700W TDP and higher cost prove excessive for typical creative tasks.
H100 SXM5's 67 TFLOPS FP32 and NVLink interconnect accelerate simulations across multi-GPU setups. RTX 4500 Ada's PCIe-only form limits complex distributed computing.
Frequently Asked Questions
What is the VRAM difference between H100 SXM5 and RTX 4500 Ada?▾
The H100 SXM5 provides 80 to 94 GB HBM3 VRAM, far exceeding the RTX 4500 Ada's 24 GB GDDR6. This enables the H100 to manage larger models without fragmentation. Bandwidth follows suit at 3350 GB/s versus 432 GB/s.
How do compute performances compare in FP16?▾
H100 SXM5 achieves 1979 TFLOPS in FP16, over 50 times the RTX 4500 Ada's 39.6 TFLOPS. This gap accelerates AI training significantly. FP32 sees H100 at 67 TFLOPS against 39.6 TFLOPS.
What are the cloud pricing differences?▾
H100 SXM5 starts at $0.80 per hour, averaging $3.49 per hour across 37 offers. RTX 4500 Ada begins at $0.34 per hour, averaging $0.51 per hour over 3 offers. Costs align with performance tiers.
Which has higher power consumption?▾
The H100 SXM5 draws 700W TDP, requiring datacenter infrastructure. RTX 4500 Ada uses 210W, suitable for workstations. This affects deployment feasibility.
Can RTX 4500 Ada use NVLink?▾
RTX 4500 Ada supports only PCIe interconnects without NVLink. H100 SXM5 includes NVLink, PCIe 5.0, and InfiniBand for multi-GPU communication. This enhances H100 scalability.
Is H100 SXM5 newer than RTX 4500 Ada?▾
H100 uses Hopper architecture from 2022, while RTX 4500 Ada employs Ada Lovelace from 2023. Despite the date, H100 targets datacenter superiority in specs like 3958 TFLOPS FP8.
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.