Specifications Compared
| Spec | A100 | GH200 |
|---|---|---|
| TDP | 400W | 900W |
| VRAM | 40-80 GB | 96 GB |
| CUDA Cores | 6,912 | 16,896 |
| Memory Type | HBM2e | HBM3 |
| Architecture | Ampere | Hopper |
| Form Factors | SXM4, PCIe | SXM |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | NVLink-C2C, PCIe 5.0 |
| Tensor Cores | 432 | 528 |
| FP16 Performance | 312 TFLOPS | 1,979 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 67 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 34 TFLOPS |
| INT8 Performance | 624 TOPS | 3,958 TOPS |
| Memory Bandwidth | 2,039 GB/s | 4,000 GB/s |
Performance Analysis
The GH200 demonstrates substantial advantages in compute throughput: its 1979 TFLOPS FP16 performance exceeds the A100's 312 TFLOPS by over six times, accelerating large-scale model training where half-precision arithmetic dominates. Similarly, 67 TFLOPS FP32 on the GH200 surpasses the A100's 19.5 TFLOPS by more than three times, benefiting scientific simulations and precision-sensitive workloads. The GH200's 3958 TFLOPS FP8 capability further optimizes inference tasks requiring ultra-low precision. Memory bandwidth doubles from 2039 GB/s on the A100 to 4000 GB/s on the GH200: this enables larger batch sizes during training, reducing per-epoch times and improving throughput for massive datasets. Higher VRAM capacity of 96 GB versus 80 GB supports bigger models without fragmentation. However, the GH200's 900W TDP demands robust cooling compared to the A100's 400W, impacting deployment in power-limited environments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 80GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
 LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 646GB Storage | Czechia | $1.07/GPU/hr | Available | ||
 Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) |
GH200 Grace Hopper
| 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 A100 PCIe 80GB
The A100 PCIe 80GB suits cost-conscious deployments: pricing from $0.89 per hour across 28 offers provides broad availability versus the GH200's $1.99 per hour over 5 offers. Its 400W TDP fits power-constrained clusters better than the GH200's 900W. Mature software ecosystems optimized for Ampere excel in established workflows like moderate-scale training with 312 TFLOPS FP16.
When to Choose the GH200 Grace Hopper
The GH200 excels in demanding AI pipelines: 1979 TFLOPS FP16 and 96 GB HBM3 handle trillion-parameter models efficiently. Doubling memory bandwidth to 4000 GB/s supports massive batch sizes, while FP8 at 3958 TFLOPS accelerates inference. It serves cutting-edge research despite higher costs and limited offers.
Use Cases
The GH200's 1979 TFLOPS FP16 outperforms the A100's 312 TFLOPS, speeding up training on large language models. Its 4000 GB/s bandwidth supports bigger batches for efficiency.
FP8 performance at 3958 TFLOPS on the GH200 optimizes low-precision inference, far exceeding A100 capabilities. 96 GB HBM3 handles extensive context lengths.
A100's 80 GB VRAM and 312 TFLOPS FP16 suffice for most fine-tuning at lower cost. GH200 accelerates with 1979 TFLOPS FP16 for parameter-heavy tasks.
A100's 2039 GB/s bandwidth and 80 GB VRAM meet image generation needs cost-effectively at $0.89 per hour. GH200 overkill for typical diffusion models.
GH200's 67 TFLOPS FP32 triples A100's 19.5 TFLOPS for simulations. NVLink-C2C interconnect enhances multi-GPU scalability.
Frequently Asked Questions
What is the VRAM difference between A100 PCIe 80GB and GH200?▾
The A100 offers 80 GB HBM2e VRAM, while the GH200 provides 96 GB HBM3. This extra capacity on GH200 supports larger models without offloading.
How do FP16 performances compare?▾
GH200 delivers 1979 TFLOPS FP16 versus A100's 312 TFLOPS. The gap enables roughly six times faster half-precision training.
What are the current cloud prices?▾
A100 PCIe 80GB starts at $0.89 per hour, averaging $2.08 across 28 offers. GH200 begins at $1.99 per hour, averaging $3.33 across 5 offers.
Which has higher memory bandwidth?▾
GH200 achieves 4000 GB/s, nearly double the A100's 2039 GB/s. Higher bandwidth improves large batch processing.
What is the TDP comparison?▾
A100 consumes 400W TDP, lower than GH200's 900W. A100 suits power-limited setups.
Is GH200 compatible with PCIe?▾
GH200 supports PCIe 5.0 alongside NVLink-C2C, while A100 uses PCIe 4.0 and NVLink. Both integrate into modern clusters.
Which is cheaper to rent, the A100 or the GH200?▾
Cloud rental prices for both the A100 and GH200 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 A100 have compared to the GH200?▾
The A100 has 40 to 80 GB of HBM2e memory. The GH200 has 96 GB of HBM3 memory.
Can I find A100 and GH200 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 A100 and the GH200?▾
The A100 uses the Ampere architecture (2020) while the GH200 uses Hopper (2023). The GH200 delivers 6.3x the FP16 throughput and 2.0x the memory bandwidth of the A100.