Specifications Compared
| Spec | A100 | H100 |
|---|---|---|
| TDP | 400W | 700W |
| VRAM | 40-80 GB | 80-94 GB |
| CUDA Cores | 6,912 | 16,896 |
| Memory Type | HBM2e | HBM3 |
| Architecture | Ampere | Hopper |
| Form Factors | SXM4, PCIe | SXM5, PCIe, NVL |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | NVLink, PCIe 5.0, InfiniBand |
| 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 | 3,350 GB/s |
Performance Analysis
The H100 demonstrates substantial performance advantages over the A100 in compute-intensive tasks. Its FP16 throughput reaches 1979 TFLOPS compared to the A100's 312 TFLOPS, accelerating deep learning training by up to 6x in mixed-precision workflows. FP32 performance improves to 67 TFLOPS from 19.5 TFLOPS, benefiting scientific simulations and general-purpose computing.
For inference, the H100's FP8 capability at 3958 TFLOPS enables ultra-efficient low-precision deployments, far exceeding the A100's offerings. Memory bandwidth of 3350 GB/s on the H100 versus 2039 GB/s on the A100 supports larger batch sizes in training, reducing overhead and improving throughput for models like large language models with billions of parameters.
Higher TDP of 700W on the H100 reflects its power demands, but interconnect upgrades to PCIe 5.0 and enhanced NVLink make it superior for multi-GPU scaling in clusters.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 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 557GB Storage | Czechia | $1.00/GPU/hr | Available | ||
 Denvr | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 512GB RAM 7600GB Storage | Virginia | $1.15/GPU/hr $4.60/hr total (4×) |
H100 SXM5
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Hyperstack | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 124 vCPU 720GB RAM 3300GB Storage | Canada | $1.90/GPU/hr $7.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 60 vCPU 360GB RAM 1600GB Storage | Canada | $1.90/GPU/hr $3.80/hr total (2×) | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.90/GPU/hr $15.20/hr total (8×) | Available | ||
Hyperstack | NVIDIA H100 PCIe 80GB VRAM | 80GB | 28 vCPU 180GB RAM 850GB Storage | Canada | $1.90/GPU/hr | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.95/GPU/hr $15.60/hr total (8×) | Available |
When to Choose the A100 SXM4 80GB
The A100 SXM4 80GB suits budget-conscious deployments where workloads do not fully utilize H100 capabilities. At pricing from $0.13 per hour average $1.31 per hour, it delivers solid FP16 performance of 312 TFLOPS and 80 GB HBM2e VRAM for fine-tuning medium-scale models or inference on established networks.
Lower 400W TDP reduces cooling and power costs in smaller clusters, ideal for legacy Ampere-optimized software without Hopper-specific features.
When to Choose the H100 SXM5
The H100 SXM5 excels in demanding AI workloads requiring peak efficiency. With 1979 TFLOPS FP16 and 3350 GB/s bandwidth, it handles massive LLM training and inference far better than the A100's 312 TFLOPS and 2039 GB/s.
FP8 support at 3958 TFLOPS optimizes real-time inference, justifying $0.80 per hour average $3.54 per hour for high-throughput production environments.
Use Cases
H100's 1979 TFLOPS FP16 vastly outperforms A100's 312 TFLOPS, speeding up training of billion-parameter models. Higher 3350 GB/s bandwidth handles massive datasets efficiently.
FP8 at 3958 TFLOPS on H100 enables low-latency serving at scale. A100 lacks this precision, limiting throughput.
A100's 312 TFLOPS FP16 suffices for medium models at lower $1.31/hr average cost. H100 accelerates larger ones with 1979 TFLOPS.
H100's superior FP16 and 3350 GB/s bandwidth generate images faster with bigger batches. A100 struggles with high-resolution demands.
A100's 19.5 TFLOPS FP32 and 400W TDP fit simulations cost-effectively at $1.31/hr average. H100's 67 TFLOPS FP32 overkill for many cases.
Frequently Asked Questions
Which GPU has higher memory bandwidth?▾
The H100 SXM5 offers 3350 GB/s compared to the A100 SXM4 80GB's 2039 GB/s. This enables larger batch sizes in training. Higher bandwidth reduces bottlenecks in memory-bound workloads.
What is the price difference in cloud rentals?▾
A100 SXM4 80GB starts at $0.13 per hour average $1.31 per hour across 25 offers. H100 SXM5 starts at $0.80 per hour average $3.54 per hour across 32 offers. A100 provides better value for cost-sensitive tasks.
Is the H100 better for FP16 workloads?▾
Yes, H100 delivers 1979 TFLOPS FP16 versus A100's 312 TFLOPS. This results in up to 6x faster AI training. FP16 dominates modern deep learning pipelines.
What are the power requirements?▾
A100 has a 400W TDP while H100 requires 700W. A100 suits power-constrained environments. H100 demands advanced cooling for sustained performance.
Can I use NVLink with both?▾
Both support NVLink alongside PCIe and InfiniBand. H100 adds PCIe 5.0 for faster interconnects. This ensures scalability in multi-GPU setups.
Which has more VRAM?▾
A100 SXM4 offers 80 GB HBM2e. H100 SXM5 provides 80-94 GB HBM3. H100's HBM3 is faster, aiding large model loading.
Which is cheaper to rent, the A100 or the H100?▾
Cloud rental prices for both the A100 and H100 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 H100?▾
The A100 has 40 to 80 GB of HBM2e memory. The H100 has 80 to 94 GB of HBM3 memory.
Can I find A100 and H100 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 H100?▾
The A100 uses the Ampere architecture (2020) while the H100 uses Hopper (2022). The H100 delivers 6.3x the FP16 throughput and 1.6x the memory bandwidth of the A100.