Specifications Compared
| Spec | GH200 | RTX-4500-ADA |
|---|---|---|
| TDP | 900W | 210W |
| VRAM | 96 GB | 24 GB |
| CUDA Cores | 16,896 | 7,680 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM | PCIe |
| Interconnect | NVLink-C2C, PCIe 5.0 | |
| 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 | 4,000 GB/s | 432 GB/s |
Performance Analysis
Peak FP16 performance reveals a stark divide: GH200 achieves 1979 TFLOPS compared to 39.6 TFLOPS on RTX 4500 Ada, enabling faster AI model training where half-precision computations dominate. The GH200 FP32 rate of 67 TFLOPS slightly exceeds the RTX 4500 Ada's 39.6 TFLOPS, benefiting general-purpose simulations that rely on single-precision. FP8 capability on GH200 at 3958 TFLOPS accelerates inference for quantized large language models, a feature absent or limited on the Ada GPU. Memory specifications amplify this gap: 96 GB HBM3 versus 24 GB GDDR6 allows GH200 to handle models exceeding 70 billion parameters without swapping, while 4000 GB/s bandwidth supports batch sizes up to ten times larger than the 432 GB/s on RTX 4500 Ada. Higher TDP of 900W on GH200 demands robust cooling, contrasting the efficient 210W of RTX 4500 Ada for edge deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GH200
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 960GB Storage | Atlanta | $1.99/GPU/hr | Available | ||
 Lambda Labs | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 64 vCPU 432GB RAM 4096GB Storage | Virginia | $2.29/GPU/hr | Available | ||
 Denvr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 7600GB Storage | Virginia | $3.87/GPU/hr | |||
 CoreWeave | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 7680GB Storage | United States | $6.50/GPU/hr |
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 GH200
Enterprises undertaking large-scale LLM training select GH200: its 96 GB HBM3 VRAM accommodates full model loading for 100 billion parameter networks, and 1979 TFLOPS FP16 throughput reduces epochs from days to hours. High memory bandwidth of 4000 GB/s sustains massive batch sizes in distributed setups via NVLink-C2C. Scientific computing clusters benefit from 67 TFLOPS FP32 and PCIe 5.0 for multi-node scaling.
When to Choose the RTX 4500 Ada
Budget-conscious developers prefer RTX 4500 Ada for fine-tuning mid-sized models: 24 GB GDDR6 VRAM suffices for 13 billion parameter LLMs, and 39.6 TFLOPS FP16 matches FP32 for versatile inference. Low TDP of 210W enables deployment in standard PCIe workstations without specialized power infrastructure. Cloud users save with pricing from $0.34 per hour versus GH200's $1.99 per hour minimum.
Use Cases
GH200's 96 GB HBM3 VRAM and 1979 TFLOPS FP16 handle massive datasets and models over 70 billion parameters without fragmentation. RTX 4500 Ada's 24 GB limits scale.
3958 TFLOPS FP8 on GH200 accelerates quantized serving for high-throughput queries. Bandwidth of 4000 GB/s supports larger batches than 432 GB/s on RTX 4500 Ada.
RTX 4500 Ada's 24 GB VRAM fits 7-13B models efficiently at low $0.34 per hour cost. GH200 excels for larger scales with 96 GB but at premium pricing.
RTX 4500 Ada's 39.6 TFLOPS FP16 generates images quickly within 24 GB VRAM constraints. GH200's power draw of 900W overkills typical creative workflows.
GH200's 67 TFLOPS FP32 and NVLink-C2C enable complex simulations across nodes. RTX 4500 Ada's PCIe form suits single-node tasks only.
Frequently Asked Questions
What is the VRAM difference between GH200 and RTX 4500 Ada?▾
GH200 provides 96 GB HBM3 VRAM, quadrupling the 24 GB GDDR6 on RTX 4500 Ada. This enables GH200 to load larger AI models without offloading. Bandwidth follows suit at 4000 GB/s versus 432 GB/s.
How do FP16 performances compare?▾
GH200 delivers 1979 TFLOPS in FP16, vastly surpassing RTX 4500 Ada's 39.6 TFLOPS. This gap accelerates deep learning training on GH200. Inference benefits similarly from GH200's FP8 at 3958 TFLOPS.
What are the cloud rental prices?▾
GH200 starts at $1.99 per hour with an average of $3.59 per hour across four offers. RTX 4500 Ada begins at $0.34 per hour averaging $0.51 per hour over three offers. Pricing reflects performance disparities.
Which has higher power consumption?▾
GH200 requires 900W TDP, far exceeding RTX 4500 Ada's 210W. This suits data centers for GH200 but favors workstations for Ada. Efficiency impacts deployment choices.
Can RTX 4500 Ada handle large model training?▾
RTX 4500 Ada's 24 GB VRAM limits it to models under 13 billion parameters effectively. GH200's 96 GB supports 100 billion plus. Use Ada for prototyping only.
What architectures power these GPUs?▾
GH200 uses Hopper architecture from 2023 optimized for AI. RTX 4500 Ada employs Ada Lovelace from 2023 for professional graphics. Both launched same year but target different scales.
Which is cheaper to rent, the GH200 or the RTX 4500 Ada?▾
Cloud rental prices for both the GH200 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 GH200 have compared to the RTX 4500 Ada?▾
The GH200 has 96 GB of HBM3 memory. The RTX 4500 Ada has 24 GB of GDDR6 memory.
Can I find GH200 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 GH200 and the RTX 4500 Ada?▾
The GH200 uses the Hopper architecture (2023) while the RTX 4500 Ada uses Ada Lovelace (2023). The GH200 delivers 50.0x the FP16 throughput and 9.3x the memory bandwidth of the RTX 4500 Ada.