Specifications Compared
| Spec | GH200 | RTX-5000-ADA |
|---|---|---|
| TDP | 900W | 250W |
| VRAM | 96 GB | 32 GB |
| CUDA Cores | 16,896 | 12,800 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM | PCIe |
| Interconnect | NVLink-C2C, PCIe 5.0 | |
| Tensor Cores | 528 | 400 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 65.3 TFLOPS |
| FP32 Performance | 67 TFLOPS | 65.3 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 1,044 TOPS |
| Memory Bandwidth | 4,000 GB/s | 576 GB/s |
Performance Analysis
The GH200's FP16 performance reaches 1979 TFLOPS, over 30 times the RTX 5000 Ada's 65.3 TFLOPS, accelerating AI training where half-precision arithmetic prevails. FP32 rates align closely at 67 TFLOPS for GH200 and 65.3 TFLOPS for Ada, supporting balanced general-purpose computing. GH200's FP8 at 3958 TFLOPS enhances quantized inference efficiency.
Memory specifications transform real-world usage: 4000 GB/s bandwidth on GH200 enables larger batch sizes in model training, minimizing data movement bottlenecks unlike the 576 GB/s on RTX 5000 Ada. The 96 GB HBM3 VRAM accommodates massive models without swapping, while 32 GB GDDR6 limits scale on Ada.
Power consumption varies significantly: GH200's 900W TDP suits data center infrastructure, contrasting Ada's 250W for efficient edge or workstation deployment. These factors dictate throughput in training epochs and inference latency.
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 5000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.55/GPU/hr | Available | ||
 RunPod | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 10 vCPU 83GB RAM | 🌍global | $0.83/GPU/hr |
When to Choose the GH200
The GH200 dominates large-scale AI training: its 96 GB HBM3 VRAM loads models exceeding 32 GB, and 1979 TFLOPS FP16 cuts training times. NVLink-C2C interconnect scales multi-GPU clusters effectively.
High-performance computing benefits from 4000 GB/s bandwidth and 3958 TFLOPS FP8 for simulations and inference at scale.
When to Choose the RTX 5000 Ada
The RTX 5000 Ada fits budget-conscious visualization and moderate AI tasks: at $0.25 per hour starting price, its 65.3 TFLOPS FP16 handles fine-tuning and Stable Diffusion within 32 GB VRAM limits.
PCIe form factor and 250W TDP integrate easily into workstations for CAD or lighter inference, avoiding GH200's $1.99 per hour minimum cost.
Use Cases
GH200's 96 GB HBM3 VRAM and 1979 TFLOPS FP16 support massive models and large batches unattainable on RTX 5000 Ada's 32 GB and 65.3 TFLOPS.
3958 TFLOPS FP8 on GH200 accelerates quantized inference with high 4000 GB/s bandwidth; RTX 5000 Ada's lower specs limit scale.
RTX 5000 Ada's 32 GB VRAM and 65.3 TFLOPS FP16 suffice for medium models at $0.51 per hour average; GH200 overkill for smaller tasks.
RTX 5000 Ada's 65.3 TFLOPS and PCIe form factor excel in image generation workflows; low 250W TDP fits workstations efficiently.
GH200's 67 TFLOPS FP32, 4000 GB/s bandwidth, and NVLink-C2C enable complex simulations beyond RTX 5000 Ada's capabilities.
Frequently Asked Questions
Which GPU has more VRAM?▾
The GH200 provides 96 GB HBM3 VRAM. The RTX 5000 Ada offers 32 GB GDDR6. This difference allows GH200 to manage larger AI models without offloading.
How do FP16 performances compare?▾
GH200 delivers 1979 TFLOPS FP16. RTX 5000 Ada reaches 65.3 TFLOPS. GH200 excels in half-precision AI training tasks.
What are the cloud pricing differences?▾
GH200 starts at $1.99 per hour, averaging $3.59 across four offers. RTX 5000 Ada begins at $0.25 per hour, averaging $0.51 across five offers.
Which has higher memory bandwidth?▾
GH200 achieves 4000 GB/s. RTX 5000 Ada provides 576 GB/s. Higher bandwidth on GH200 supports bigger batch sizes in training.
What are the TDP ratings?▾
GH200 requires 900W TDP. RTX 5000 Ada uses 250W. Lower TDP on Ada suits power-constrained environments.
What form factors do they use?▾
GH200 employs SXM for data centers. RTX 5000 Ada uses PCIe for workstations. This affects deployment flexibility.
Which is cheaper to rent, the GH200 or the RTX 5000 Ada?▾
Cloud rental prices for both the GH200 and RTX 5000 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 5000 Ada?▾
The GH200 has 96 GB of HBM3 memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.
Can I find GH200 and RTX 5000 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 5000 Ada?▾
The GH200 uses the Hopper architecture (2023) while the RTX 5000 Ada uses Ada Lovelace (2023). The GH200 delivers 30.3x the FP16 throughput and 6.9x the memory bandwidth of the RTX 5000 Ada.