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
The H200 demonstrates superior compute with 1979 TFLOPS in FP16 compared to the A100's 312 TFLOPS, accelerating training of deep neural networks that rely on half-precision arithmetic. FP32 performance reaches 67 TFLOPS on H200 versus 19.5 TFLOPS on A100, benefiting scientific simulations and inference requiring full precision. The H200's FP8 capability at 3958 TFLOPS further optimizes low-precision inference workloads.
Memory bandwidth of 4800 GB/s on H200 versus 2039 GB/s on A100 enables larger batch sizes in training, reducing iterations and wall-clock time for datasets exceeding 40 GB VRAM limits. The 141 GB HBM3e on H200 handles models too large for A100's 40 GB HBM2e without model parallelism, minimizing overhead in distributed setups.
Higher TDP of 700W on H200 reflects its power demands against A100's 400W, impacting datacenter cooling and costs, though PCIe 5.0 and NVLink interconnects enhance multi-GPU scaling over A100's PCIe 4.0.
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 | 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 PCIe 40GB
The A100 PCIe 40GB suits cost-sensitive deployments with models fitting within 40 GB VRAM. Its average cloud price of $1.75 per hour across 12 offers provides broader availability than H200's $2.39 per hour over 4 offers. Lower TDP of 400W fits power-constrained environments.
Legacy Ampere-optimized codebases or smaller-scale fine-tuning benefit from A100's mature ecosystem and PCIe form factor compatibility.
When to Choose the H200 NVL
The H200 NVL excels in workloads demanding over 40 GB VRAM, such as training 100 billion parameter models with its 141 GB capacity. High FP16 at 1979 TFLOPS and bandwidth of 4800 GB/s support large-batch training and inference.
FP8 performance of 3958 TFLOPS optimizes high-throughput serving, while Hopper architecture leverages latest software stacks for cutting-edge AI research.
Use Cases
H200's 141 GB VRAM and 1979 TFLOPS FP16 handle massive parameter counts beyond A100's 40 GB limit. Bandwidth of 4800 GB/s supports large batches for efficient convergence.
FP8 at 3958 TFLOPS and 141 GB VRAM on H200 enable high-throughput serving of large models. A100's 312 TFLOPS FP16 falls short for production-scale demands.
Smaller models fit A100's 40 GB VRAM at lower cost averaging $1.75 per hour. H200's superior 67 TFLOPS FP32 accelerates precision adjustments on larger datasets.
A100's 40 GB suffices for most image generation pipelines with 2039 GB/s bandwidth. Lower TDP of 400W and pricing from $0.60 per hour suit creative workflows.
H200's 67 TFLOPS FP32 outperforms A100's 19.5 TFLOPS for simulations. 4800 GB/s bandwidth processes large matrices efficiently.
Frequently Asked Questions
What is the VRAM difference between A100 PCIe 40GB and H200 NVL?▾
A100 provides 40 GB HBM2e while H200 offers 141 GB HBM3e. This quadruples capacity for H200, enabling larger models without sharding. Bandwidth reaches 4800 GB/s on H200 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 $1.75 per hour across 12 offers. H200 NVL begins at $0.50 per hour averaging $2.39 per hour over 4 offers. Availability favors A100 for broader provider options.
What are the FP16 performance specs?▾
H200 achieves 1979 TFLOPS in FP16 compared to A100's 312 TFLOPS. This sixfold increase accelerates AI training significantly. H200 adds FP8 at 3958 TFLOPS for inference.
Which has higher power consumption?▾
H200's TDP is 700W versus A100's 400W. Higher power on H200 correlates with its superior compute and memory specs. Cooling requirements scale accordingly in deployments.
What architectures do they use?▾
A100 employs Ampere from 2020 with PCIe 4.0 support. H200 uses Hopper from 2024 featuring PCIe 5.0 and advanced NVLink. Hopper optimizes for latest AI frameworks.
Is H200 backward compatible with A100 software?▾
H200 supports NVIDIA's CUDA ecosystem, compatible with most A100 code via Hopper's backward compatibility. Performance gains require Hopper-specific optimizations. VRAM differences may necessitate code adjustments for large models.
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.