Specifications Compared
| Spec | GH200 | RTX-A5000 |
|---|---|---|
| TDP | 900W | 230W |
| VRAM | 96 GB | 24 GB |
| CUDA Cores | 16,896 | 8,192 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ampere |
| Form Factors | SXM | PCIe |
| Interconnect | NVLink-C2C, PCIe 5.0 | NVLink |
| Tensor Cores | 528 | 256 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 27.8 TFLOPS |
| FP32 Performance | 67 TFLOPS | 27.8 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 4,000 GB/s | 768 GB/s |
Performance Analysis
Superior FP16 performance defines the GH200: 1979 TFLOPS enables rapid AI training where half-precision dominates, outstripping A5000's 27.8 TFLOPS by over 70 times. FP32 at 67 TFLOPS on GH200 exceeds A5000's matching 27.8 TFLOPS, but the disparity emphasizes GH200's AI focus.
FP8 throughput reaches 3958 TFLOPS on GH200, ideal for efficient inference on quantized models. Memory bandwidth of 4000 GB/s on GH200 supports expansive batch sizes during training, minimizing overhead versus A5000's constrained 768 GB/s which limits dataset handling.
TDP differences impact deployment: GH200's 900W requires enterprise infrastructure, whereas A5000's 230W fits diverse environments. Interconnects like GH200's NVLink-C2C enhance multi-GPU scaling over A5000's NVLink.
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 A5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 4×NVIDIA RTX A5000 24GB VRAM | 24GB | 64 vCPU 224GB RAM 2256GB Storage | Romania | $0.23/GPU/hr $0.92/hr total (4×) | Available | ||
Vast.ai | NVIDIA RTX A5000 24GB VRAM | 24GB | 32 vCPU 101GB RAM 101GB Storage | Iceland | $0.24/GPU/hr | Available | ||
 RunPod | NVIDIA RTX A5000 24GB VRAM | 24GB | 9 vCPU 25GB RAM | 🌍global | $0.27/GPU/hr | |||
 Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.41/GPU/hr $3.28/hr total (8×) | |||
Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.46/GPU/hr $3.68/hr total (8×) |
When to Choose the GH200
The GH200 suits large-scale AI training and inference: its 96 GB HBM3 VRAM accommodates models exceeding 24 GB limits of A5000. Bandwidth at 4000 GB/s enables high batch sizes for faster epochs in LLM development.
Data centers benefit from SXM form factor and NVLink-C2C for seamless scaling, justifying $3.59 per hour average cost.
When to Choose the RTX A5000
The RTX A5000 fits budget-conscious prototyping and moderate workloads: starting at $0.03 per hour, it undercuts GH200's $1.99 per hour entry. 24 GB GDDR6 handles fine-tuning or visualization within 768 GB/s bandwidth.
PCIe form factor and 230W TDP support workstation or edge deployments without data center demands.
Use Cases
GH200's 96 GB HBM3 VRAM and 1979 TFLOPS FP16 handle massive parameter counts and large batches unattainable on A5000.
3958 TFLOPS FP8 on GH200 delivers high-throughput quantized inference; 4000 GB/s bandwidth supports real-time scaling.
96 GB VRAM and 4000 GB/s bandwidth accelerate fine-tuning on extensive datasets versus A5000's 24 GB limit.
A5000's 24 GB GDDR6 suffices for image generation at 27.8 TFLOPS FP16 and $0.44 per hour average cost.
A5000 manages FP32 tasks at 27.8 TFLOPS affordably; GH200's 67 TFLOPS FP32 excels in extreme simulations.
Frequently Asked Questions
What is the VRAM capacity of GH200 versus RTX A5000?▾
GH200 features 96 GB HBM3 VRAM. RTX A5000 provides 24 GB GDDR6. This difference allows GH200 to load significantly larger models.
How do FP16 performances compare?▾
GH200 achieves 1979 TFLOPS in FP16. RTX A5000 reaches 27.8 TFLOPS. GH200 accelerates AI training by a factor exceeding 70.
What are the cloud rental prices?▾
GH200 starts from $1.99 per hour, averaging $3.59 across 4 offers. RTX A5000 begins at $0.03 per hour, averaging $0.44 across 32 offers.
Which GPU has higher memory bandwidth?▾
GH200 delivers 4000 GB/s bandwidth. RTX A5000 offers 768 GB/s. Higher bandwidth on GH200 supports larger training batches.
What are the TDP ratings?▾
GH200 has a 900W TDP. RTX A5000 uses 230W. Lower TDP on A5000 enables broader deployment flexibility.
Which architecture is newer?▾
GH200 uses Hopper from 2023. RTX A5000 employs Ampere from 2021. Hopper provides advanced AI optimizations like FP8 support.
Which is cheaper to rent, the GH200 or the RTX A5000?▾
Cloud rental prices for both the GH200 and RTX A5000 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 A5000?▾
The GH200 has 96 GB of HBM3 memory. The RTX A5000 has 24 GB of GDDR6 memory.
Can I find GH200 and RTX A5000 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 A5000?▾
The GH200 uses the Hopper architecture (2023) while the RTX A5000 uses Ampere (2021). The GH200 delivers 71.2x the FP16 throughput and 5.2x the memory bandwidth of the RTX A5000.