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: H200's 141 GB HBM3e exceeds A100's 80 GB HBM2e, enabling larger batch sizes and longer context lengths in transformer models. Bandwidth of 4800 GB/s on H200 versus 2039 GB/s on A100 reduces data movement bottlenecks, accelerating training iterations by supporting higher throughput. FP16 performance surges to 1979 TFLOPS on H200 from 312 TFLOPS on A100, ideal for mixed-precision training in deep learning. FP32 climbs to 67 TFLOPS from 19.5 TFLOPS, benefiting simulation and HPC tasks requiring single-precision compute. The H200's FP8 capability at 3958 TFLOPS enhances inference efficiency for quantized models. Higher 700W TDP on H200 demands robust cooling compared to A100's 400W, but yields substantial gains in memory-bound scenarios like LLM fine-tuning.
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 SXM
| 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
Opt for A100 SXM4 80GB in cost-sensitive environments where pricing from $0.67 per hour suits budget constraints. Its 400W TDP fits power-limited clusters, and 80 GB VRAM handles many legacy workloads without excess capacity. PCIe 4.0 and NVLink suffice for distributed training at lower FP16 of 312 TFLOPS.
When to Choose the H200 SXM
Select H200 SXM for memory-intensive applications leveraging 141 GB HBM3e and 4800 GB/s bandwidth. Superior FP16 at 1979 TFLOPS and FP8 at 3958 TFLOPS excel in modern LLM training and inference. PCIe 5.0 enhances interconnect speed despite higher $1.19 per hour starting price.
Use Cases
H200's 1979 TFLOPS FP16 and 67 TFLOPS FP32 enable faster training of large LLMs compared to A100's 312 TFLOPS and 19.5 TFLOPS. Its 141 GB VRAM accommodates bigger batches.
FP8 performance of 3958 TFLOPS on H200 accelerates quantized inference, paired with 141 GB VRAM for extended contexts. Bandwidth at 4800 GB/s minimizes latency versus A100's constraints.
H200 handles parameter-efficient fine-tuning with 4800 GB/s bandwidth and 141 GB capacity, reducing OOM errors. FP16 uplift to 1979 TFLOPS speeds iterations over A100.
A100's 312 TFLOPS FP16 suffices for image generation at 80 GB VRAM, but H200's higher specs enable larger resolutions. Cost favors A100 for standard workflows.
A100's 19.5 TFLOPS FP32 and lower $0.67 per hour pricing align with simulations not demanding extreme memory. 400W TDP suits varied clusters.
Frequently Asked Questions
Which GPU has more VRAM?▾
The H200 SXM offers 141 GB HBM3e compared to A100 SXM4 80GB's 80 GB HBM2e. This enables H200 to load larger models entirely. Bandwidth follows at 4800 GB/s versus 2039 GB/s.
How do prices compare?▾
A100 SXM4 80GB starts at $0.67 per hour with an average of $1.41 per hour across 24 offers. H200 SXM begins at $1.19 per hour averaging $3.70 per hour over 23 offers. A100 provides better value for moderate tasks.
What is the FP16 performance difference?▾
H200 achieves 1979 TFLOPS in FP16, far exceeding A100's 312 TFLOPS. This gap accelerates AI training significantly. FP32 is 67 TFLOPS on H200 versus 19.5 TFLOPS on A100.
Which is better for LLM inference?▾
H200 excels with FP8 at 3958 TFLOPS and 141 GB VRAM for high-throughput serving. A100's lower specs limit scale. Bandwidth of 4800 GB/s on H200 reduces delays.
What are the power requirements?▾
A100 SXM4 80GB has a 400W TDP, more efficient for dense deployments. H200 SXM requires 700W, demanding advanced cooling. Both use SXM form factors.
Can they interconnect similarly?▾
Both support NVLink and InfiniBand for multi-GPU setups. H200 adds PCIe 5.0 over A100's PCIe 4.0 for faster host communication. This aids large-scale clusters.
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.