Specifications Compared
| Spec | GH200 | RTX-4090 |
|---|---|---|
| TDP | 900W | 450W |
| VRAM | 96 GB | 24 GB |
| CUDA Cores | 16,896 | 16,384 |
| Memory Type | HBM3 | GDDR6X |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM | PCIe |
| Interconnect | NVLink-C2C, PCIe 5.0 | 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 | 4,000 GB/s | 1,008 GB/s |
Performance Analysis
The GH200's FP16 throughput of 1979 TFLOPS vastly outpaces the RTX 4090's 165 TFLOPS, enabling faster AI model training where half-precision computations dominate. This delta translates to quicker convergence in large neural networks, often reducing training time by factors proportional to the 12x performance gap. For inference, the GH200's FP8 capability at 3958 TFLOPS dwarfs the RTX 4090's 660 TFLOPS, supporting quantized models at scale. FP32 performance shows the RTX 4090 ahead at 82.6 TFLOPS versus 67 TFLOPS, benefiting graphics or simulations reliant on single-precision floats. Memory specs define real-world viability: the GH200's 96 GB HBM3 and 4000 GB/s bandwidth handle enormous batch sizes in transformer models, preventing out-of-memory errors that plague the RTX 4090's 24 GB GDDR6X. Lower bandwidth on the RTX 4090 limits throughput in memory-bound scenarios, such as processing billion-parameter LLMs. Power draw underscores trade-offs: 900W for GH200 versus 450W for RTX 4090 affects density in cloud instances.
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 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 | 32 vCPU 101GB RAM 152GB Storage | Iceland | $0.40/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 | ||
Vast.ai | 4×NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 80 vCPU 157GB RAM 856GB Storage | United Kingdom | $0.67/GPU/hr $2.67/hr total (4×) | Available |
When to Choose the GH200
Enterprises tackling exascale AI training select the GH200 for its 96 GB HBM3 VRAM, which accommodates models exceeding 24 GB without multi-GPU sharding. The 4000 GB/s bandwidth sustains massive batch sizes, accelerating FP16 workloads at 1979 TFLOPS. NVLink-C2C and PCIe 5.0 interconnects enable seamless scaling across nodes, ideal for distributed training in datacenters.
When to Choose the RTX 4090
Budget-conscious users favor the RTX 4090 for prototyping or small-scale inference, where its $0.27 per hour pricing across 75 offers delivers value. The 82.6 TFLOPS FP32 performance suits graphics rendering or scientific viz, outperforming GH200's 67 TFLOPS. PCIe 4.0 form factor integrates easily into diverse cloud setups without SXM constraints.
Use Cases
GH200's 1979 TFLOPS FP16 and 96 GB HBM3 VRAM support massive models and large batches. RTX 4090's 24 GB limits scale.
3958 TFLOPS FP8 on GH200 enables high-throughput quantized serving. 4000 GB/s bandwidth handles concurrent requests efficiently.
RTX 4090's $0.27 per hour pricing fits iterative experiments on datasets under 24 GB. Sufficient 165 TFLOPS FP16 for most fine-tunes.
RTX 4090 excels in image gen with 82.6 TFLOPS FP32 for rendering. Abundant cheap instances at average $0.39 per hour suit creative workflows.
GH200 suits HPC simulations needing 4000 GB/s bandwidth; RTX 4090 works for FP32-heavy tasks at 82.6 TFLOPS with lower cost.
Frequently Asked Questions
Which GPU has more VRAM: GH200 or RTX 4090?▾
The GH200 offers 96 GB HBM3 VRAM, quadrupling the RTX 4090's 24 GB GDDR6X. This enables larger models without splitting across GPUs. Bandwidth follows suit at 4000 GB/s versus 1008 GB/s.
How do GH200 and RTX 4090 compare in FP16 performance?▾
GH200 delivers 1979 TFLOPS FP16, exceeding RTX 4090's 165 TFLOPS by over 12 times. This gap accelerates deep learning training significantly. Inference benefits similarly via FP8 at 3958 TFLOPS versus 660 TFLOPS.
What is the cloud pricing for GH200 versus RTX 4090?▾
GH200 starts at $1.99 per hour across 2 offers with average $1.99 per hour. RTX 4090 begins at $0.27 per hour across 75 offers, averaging $0.39 per hour. Availability favors RTX 4090 heavily.
Is GH200 or RTX 4090 better for large model training?▾
GH200 dominates with 96 GB VRAM and 1979 TFLOPS FP16 for billion-parameter models. RTX 4090's 24 GB restricts batch sizes in memory-intensive training. Use GH200 for production scale.
What are the power requirements of these GPUs?▾
GH200 consumes 900W TDP in SXM form factor. RTX 4090 uses 450W in PCIe slots. Higher power on GH200 supports its datacenter interconnects like NVLink-C2C.
Can RTX 4090 replace GH200 in AI inference?▾
RTX 4090 handles small-scale inference at 660 TFLOPS FP8 but falters on large models due to 24 GB VRAM. GH200's 3958 TFLOPS FP8 and 4000 GB/s bandwidth excel for high-volume serving.
Which is cheaper to rent, the GH200 or the RTX 4090?▾
Cloud rental prices for both the GH200 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 GH200 have compared to the RTX 4090?▾
The GH200 has 96 GB of HBM3 memory. The RTX 4090 has 24 GB of GDDR6X memory.
Can I find GH200 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 GH200 and the RTX 4090?▾
The GH200 uses the Hopper architecture (2023) while the RTX 4090 uses Ada Lovelace (2022). The RTX 4090 delivers 0.1x the FP16 throughput and 0.3x the memory bandwidth of the GH200.