Specifications Compared
| Spec | GH200 | RTX-5880-ADA |
|---|---|---|
| TDP | 900W | 285W |
| VRAM | 96 GB | 48 GB |
| CUDA Cores | 16,896 | 14,080 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM | PCIe |
| Interconnect | NVLink-C2C, PCIe 5.0 | |
| Tensor Cores | 528 | 440 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 69.7 TFLOPS |
| FP32 Performance | 67 TFLOPS | 69.7 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 1,115 TOPS |
| Memory Bandwidth | 4,000 GB/s | 960 GB/s |
Performance Analysis
FP16 performance defines training efficiency: the GH200 achieves 1979 TFLOPS, over 28 times the RTX 5880 Ada's 69.7 TFLOPS, accelerating gradient computations in deep learning pipelines. FP32 parity exists at 67 TFLOPS for GH200 and 69.7 TFLOPS for RTX 5880 Ada, suiting precision simulations equally. This FP16 delta favors GH200 for transformer training, where mixed precision dominates.
Memory bandwidth dictates data movement: GH200's 4000 GB/s versus 960 GB/s allows fourfold larger batch sizes, minimizing padding overhead and wall-clock time for models like LLMs. The 96 GB HBM3 capacity doubles RTX 5880 Ada's 48 GB GDDR6, enabling in-memory processing of billion-parameter models without fragmentation. For inference, GH200's FP8 at 3958 TFLOPS crushes alternatives, supporting high-volume quantized 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 |
When to Choose the GH200
Large-scale AI training selects the GH200: 1979 TFLOPS FP16 and 96 GB HBM3 handle datasets and models infeasible on 48 GB GDDR6. Cloud availability from $1.99 per hour suits enterprises scaling via NVLink-C2C interconnects.
Inference clusters prioritize GH200 for 3958 TFLOPS FP8 and 4000 GB/s bandwidth, maximizing requests per second in production.
When to Choose the RTX 5880 Ada
Workstation deployments choose RTX 5880 Ada: 285W TDP fits standard PCIe slots without data center cooling. Balanced 69.7 TFLOPS FP32 and FP16 excel in visualization or single-node prototyping.
Cost-sensitive on-premises users value its efficiency, as no cloud offers exist for GH200 alternatives.
Use Cases
GH200's 1979 TFLOPS FP16 and 96 GB HBM3 support massive batches for billion-parameter models. RTX 5880 Ada's 69.7 TFLOPS limits scale.
GH200's 3958 TFLOPS FP8 and 4000 GB/s bandwidth enable high-throughput quantized serving. RTX 5880 Ada cannot match inference volume.
96 GB VRAM on GH200 accommodates full model loading for efficient fine-tuning. 48 GB on RTX 5880 Ada requires gradient checkpointing.
RTX 5880 Ada's 69.7 TFLOPS FP16 and 285W TDP suffice for image generation workflows. GH200 overkill for typical batch sizes.
Comparable 69.7 TFLOPS FP32 on RTX 5880 Ada matches GH200's 67 TFLOPS at lower 285W power. PCIe form suits lab environments.
Frequently Asked Questions
Which GPU has more VRAM?▾
The GH200 provides 96 GB HBM3 VRAM. The RTX 5880 Ada offers 48 GB GDDR6. This difference allows GH200 to load larger models without swapping.
What is the FP16 performance comparison?▾
GH200 delivers 1979 TFLOPS FP16. RTX 5880 Ada reaches 69.7 TFLOPS. GH200 accelerates training by over 28 times in FP16-heavy tasks.
How do memory bandwidths differ?▾
GH200 achieves 4000 GB/s with HBM3. RTX 5880 Ada provides 960 GB/s on GDDR6. Higher bandwidth on GH200 supports larger batches.
What are the power requirements?▾
GH200 has 900W TDP in SXM form. RTX 5880 Ada uses 285W in PCIe. RTX suits power-constrained workstations.
Is cloud pricing available for these GPUs?▾
GH200 starts at $1.99 per hour, average $3.59 per hour across four offers. RTX 5880 Ada has no live cloud offers.
Which architecture is newer?▾
RTX 5880 Ada uses Ada Lovelace from 2024. GH200 employs Hopper from 2023. Newer architecture aids RTX in workstation optimizations.
Which is cheaper to rent, the GH200 or the RTX 5880 Ada?▾
Cloud rental prices for both the GH200 and RTX 5880 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 5880 Ada?▾
The GH200 has 96 GB of HBM3 memory. The RTX 5880 Ada has 48 GB of GDDR6 memory.
Can I find GH200 and RTX 5880 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 5880 Ada?▾
The GH200 uses the Hopper architecture (2023) while the RTX 5880 Ada uses Ada Lovelace (2024). The GH200 delivers 28.4x the FP16 throughput and 4.2x the memory bandwidth of the RTX 5880 Ada.