Specifications Compared
| Spec | A100 | H200 |
|---|---|---|
| TDP | 400W | 700W |
| VRAM | 40-80 GB | 141 GB |
| CUDA Cores | 6,912 | 16,896 |
| Memory Type | HBM2e | HBM3e |
| Architecture | Ampere | Hopper |
| Form Factors | SXM4, PCIe | SXM, 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 | 4,800 GB/s |
Performance Analysis
Memory specifications dominate differences: the H200's 141 GB HBM3e exceeds the A100's 80 GB HBM2e, enabling larger models or batch sizes without swapping to host memory. Bandwidth surges from 2039 GB/s to 4800 GB/s on the H200, reducing bottlenecks in data-intensive tasks like LLM training, where memory access limits throughput.
Compute performance favors the H200 across precisions. FP16 jumps from 312 TFLOPS to 1979 TFLOPS, accelerating mixed-precision training common in deep learning. FP32 improves from 19.5 TFLOPS to 67 TFLOPS, benefiting simulations requiring full precision. The H200's FP8 at 3958 TFLOPS optimizes inference for quantized models, slashing latency.
Higher 700W TDP on the H200 demands robust cooling versus the A100's 400W, but PCIe 5.0 and enhanced NVLink justify it for multi-GPU scaling. In practice, these yield 4-6x effective speedups for memory-bound workloads.
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 397GB Storage | Slovenia | $0.73/GPU/hr | 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×) |
H200 NVL
| 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 | ||
 Nebius | NVIDIA H200 SXM 141GB VRAM | 141GB | 16 vCPU 200GB RAM | 🌍Europe | $2.45/GPU/hr | |||
 CoreWeave | 8×NVIDIA H200 SXM 141GB VRAM | 141GB | 128 vCPU 0GB RAM 61440GB Storage | United States | $2.58/GPU/hr $20.64/hr total (8×) | |||
 Ori | 4×NVIDIA H200 SXM 141GB VRAM | 141GB | 96 vCPU 960GB RAM 12000GB Storage | London | $3.50/GPU/hr $14.00/hr total (4×) | Available |
When to Choose the A100 SXM4 80GB
The A100 SXM4 80GB suits budget-conscious deployments where 80 GB VRAM suffices for models under 70B parameters. Its lower pricing from $0.13/hr and average $1.35/hr across 24 offers provides better value than the H200's $0.50/hr start. Availability and 400W TDP make it ideal for standard datacenters without power upgrades.
Legacy Ampere-optimized code runs natively, avoiding Hopper migration costs.
When to Choose the H200 NVL
The H200 NVL excels in workloads exceeding 80 GB VRAM, such as training 100B+ parameter LLMs with the 141 GB HBM3e capacity. Superior 4800 GB/s bandwidth supports massive batch sizes, cutting training time via 1979 TFLOPS FP16.
FP8 at 3958 TFLOPS enables high-throughput inference for production-scale serving, justifying $2.39/hr average despite fewer offers.
Use Cases
The H200's 141 GB VRAM and 4800 GB/s bandwidth accommodate larger models and batches compared to the A100's 80 GB and 2039 GB/s. This reduces training iterations and time.
FP8 performance at 3958 TFLOPS and FP16 at 1979 TFLOPS on the H200 enable quantized serving at high throughput. The A100's 312 TFLOPS FP16 limits scale for production.
H200's memory capacity supports full-model fine-tuning without truncation, leveraging 67 TFLOPS FP32. A100's 80 GB constrains mid-sized model adaptations.
A100's 80 GB handles most diffusion pipelines at 312 TFLOPS FP16, with lower $1.35/hr average cost. H200 offers headroom for ultra-high resolutions via 141 GB.
A100's 19.5 TFLOPS FP32 and 400W TDP fit precision-heavy simulations cost-effectively at $0.13/hr from. H200's advantages overkill for non-memory-bound tasks.
Frequently Asked Questions
What is the VRAM difference between A100 SXM4 80GB and H200 NVL?▾
The A100 provides 80 GB HBM2e, while the H200 offers 141 GB HBM3e. This nearly doubles capacity for large models. Bandwidth rises from 2039 GB/s to 4800 GB/s.
Which GPU has higher FP16 performance?▾
The H200 achieves 1979 TFLOPS FP16 versus the A100's 312 TFLOPS. This accelerates AI training significantly. FP32 is 67 TFLOPS on H200 against 19.5 TFLOPS.
How do cloud prices compare?▾
A100 SXM4 80GB starts at $0.13/hr, averaging $1.35/hr across 24 offers. H200 NVL begins at $0.50/hr, averaging $2.39/hr across 4 offers. A100 offers more availability.
What are the TDP ratings?▾
A100 consumes 400W TDP, suitable for standard racks. H200 requires 700W, needing advanced cooling. This impacts datacenter power planning.
Does H200 support FP8?▾
H200 delivers 3958 TFLOPS FP8 for efficient inference. A100 lacks native FP8 support. This optimizes quantized LLM serving.
What interconnects do they use?▾
Both feature NVLink and InfiniBand, but H200 upgrades to PCIe 5.0 from A100's PCIe 4.0. This enhances multi-GPU bandwidth.
Which is cheaper to rent, the A100 or the H200?▾
Cloud rental prices for both the A100 and H200 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 H200?▾
The A100 has 40 to 80 GB of HBM2e memory. The H200 has 141 GB of HBM3e memory.
Can I find A100 and H200 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 H200?▾
The A100 uses the Ampere architecture (2020) while the H200 uses Hopper (2024). The H200 delivers 6.3x the FP16 throughput and 2.4x the memory bandwidth of the A100.