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
H100 compute capabilities vastly exceed those of A100: FP16 performance surges to 1979 TFLOPS from 312 TFLOPS, slashing training times for deep neural networks by factors of several times in real-world benchmarks. FP32 rises to 67 TFLOPS from 19.5 TFLOPS, enhancing precision-bound tasks like simulations. H100's FP8 support at 3958 TFLOPS further accelerates inference for quantized large language models, a feature absent on A100.
Memory specifications favor H100 decisively: 3350 GB/s bandwidth versus 2039 GB/s permits substantially larger batch sizes, improving GPU utilization and throughput during model training. The 80 GB VRAM capacity doubles A100's 40 GB, enabling single-GPU operation on models that otherwise require multi-GPU setups. These gains come at a higher 700W TDP compared to 400W, necessitating robust cooling and power supplies.
In practice, H100 reduces epochs for LLM training while handling bigger datasets; A100 remains viable for scaled-out clusters where interconnects like NVLink mitigate per-GPU limits.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 40GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() 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 | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 126GB RAM 1114GB Storage | Czechia | $1.00/GPU/hr $2.00/hr total (2×) | 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×) | |||
![]() 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×) |
H100 PCIe
| 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 PCIe 40GB
Cost-sensitive deployments select A100 PCIe 40GB: pricing starts at $0.60 per hour, significantly below H100's $1.25 per hour minimum, with averages of $1.85 versus $2.77 per hour. Its 400W TDP suits environments with power constraints, unlike H100's 700W draw.
Workloads optimized for Ampere architecture or fitting within 40 GB VRAM and 2039 GB/s bandwidth perform reliably on A100 without software adaptations required for Hopper.
When to Choose the H100 PCIe
High-throughput AI pipelines demand H100 PCIe: 1979 TFLOPS FP16 outperforms A100's 312 TFLOPS, ideal for accelerating LLM training and large-scale inference. The 80 GB HBM3 VRAM and 3350 GB/s bandwidth support massive models and batches unattainable on A100.
Teams leveraging FP8 at 3958 TFLOPS or PCIe 5.0 benefit from H100, justifying the premium pricing and higher 700W TDP for peak efficiency.
Use Cases
H100's 1979 TFLOPS FP16 and 80 GB VRAM enable faster training of billion-parameter models compared to A100's 312 TFLOPS and 40 GB.
FP8 throughput at 3958 TFLOPS and 3350 GB/s bandwidth on H100 optimize high-query-volume serving beyond A100 capabilities.
H100's superior 67 TFLOPS FP32 and memory specs accelerate fine-tuning iterations more efficiently than A100's 19.5 TFLOPS.
A100 handles standard image generation with 40 GB VRAM adequately; H100 provides speedup for high-resolution or batched workloads via higher bandwidth.
A100's 19.5 TFLOPS FP32 and $0.60 per hour starting price suit many simulations where H100's advanced features exceed requirements.
Frequently Asked Questions
What is the VRAM difference between A100 PCIe 40GB and H100 PCIe?▾
H100 PCIe provides 80 GB HBM3, twice the 40 GB HBM2e of A100 PCIe 40GB. This supports larger models on H100. Bandwidth reaches 3350 GB/s on H100 versus 2039 GB/s on A100.
How do cloud prices compare for these GPUs?▾
A100 PCIe 40GB starts at $0.60 per hour with an average of $1.85 per hour across 11 offers. H100 PCIe begins at $1.25 per hour averaging $2.77 per hour across 16 offers. A100 offers better value for lighter workloads.
Which GPU has higher FP16 performance?▾
H100 achieves 1979 TFLOPS FP16, over six times A100's 312 TFLOPS. This boosts training speeds significantly. H100 also leads in FP32 at 67 TFLOPS versus 19.5 TFLOPS.
What are the TDP ratings?▾
A100 PCIe 40GB consumes 400W TDP. H100 PCIe requires 700W TDP. Lower power on A100 eases deployment in constrained data centers.
Is H100 compatible with A100 software?▾
H100 supports CUDA workloads from A100 with minimal changes due to Hopper advancements. However, FP8 features require updates. Both use NVLink and InfiniBand interconnects.
When is A100 still preferable?▾
Choose A100 for budgets under $1.85 per hour average or 400W power limits. It suffices for tasks within 40 GB VRAM. H100 excels beyond these thresholds.
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.



