Specifications Compared
| Spec | A16 | H200 |
|---|---|---|
| TDP | 250W | 700W |
| VRAM | 16 GB | 141 GB |
| CUDA Cores | 2,560 | 16,896 |
| Memory Type | GDDR6 | HBM3e |
| Architecture | Ampere | Hopper |
| Form Factors | PCIe | SXM, NVL |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 80 | 528 |
| FP16 Performance | 4.5 TFLOPS | 1,979 TFLOPS |
| FP32 Performance | 4.5 TFLOPS | 67 TFLOPS |
| Memory Bandwidth | 231 GB/s | 4,800 GB/s |
Performance Analysis
The H200 demonstrates overwhelming superiority in compute performance: its FP16 throughput reaches 1979 TFLOPS compared to the A16's 4.5 TFLOPS, enabling faster AI model training and inference. For FP32 operations, the H200 delivers 67 TFLOPS against the A16's 4.5 TFLOPS, which benefits general-purpose computing and simulations. The FP16 to FP32 delta on the H200 supports mixed-precision training, reducing time for large language models, while the A16's parity limits it to simpler tasks.
Memory differences profoundly impact workloads: the H200's 141 GB HBM3e allows massive batch sizes for models exceeding 16 GB, unlike the A16's constraint. Bandwidth at 4800 GB/s on the H200 versus 231 GB/s minimizes data bottlenecks during inference, supporting higher throughput. The H200's NVLink and PCIe 5.0 interconnects facilitate multi-GPU scaling, absent in the A16's PCIe form factor.
Power consumption varies significantly: the A16 at 250W suits dense deployments, while the H200's 700W demands robust cooling but yields proportional gains.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A16
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | 8×NVIDIA A16 64GB VRAM | 64GB | 48 vCPU 496GB RAM 1500GB Storage | Singapore | $0.47/GPU/hr $3.77/hr total (8×) | Available | ||
Vultr | 8×NVIDIA A16 64GB VRAM | 64GB | 48 vCPU 496GB RAM 1500GB Storage | Atlanta | $0.47/GPU/hr $3.77/hr total (8×) | Available | ||
Vultr | 8×NVIDIA A16 64GB VRAM | 64GB | 48 vCPU 496GB RAM 1500GB Storage | Bangalore | $0.47/GPU/hr $3.77/hr total (8×) | Available | ||
Vultr | 2×NVIDIA A16 64GB VRAM | 64GB | 12 vCPU 128GB RAM 700GB Storage | Bangalore | $0.47/GPU/hr $0.94/hr total (2×) | Available | ||
Vultr | 4×NVIDIA A16 64GB VRAM | 64GB | 24 vCPU 256GB RAM 1200GB Storage | Atlanta | $0.47/GPU/hr $1.88/hr total (4×) | Available |
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 A16
The A16 excels in cost-sensitive scenarios requiring modest performance. Its pricing from $0.47 per hour makes it ideal for virtual desktop infrastructure or small-scale inference with models fitting within 16 GB GDDR6. Users benefit from 75 live cloud offers and low 250W TDP for efficient, multi-instance setups.
Lightweight tasks like basic image recognition or edge deployments favor the A16 due to its 4.5 TFLOPS FP16 and accessibility.
When to Choose the H200 SXM
The H200 SXM dominates demanding AI applications with 141 GB HBM3e VRAM for large models. Its 1979 TFLOPS FP16 and 4800 GB/s bandwidth enable high-throughput training and inference, justifying $1.19 per hour starting price.
Multi-GPU clusters leverage NVLink and InfiniBand for scaled performance unattainable by the A16.
Use Cases
The H200's 1979 TFLOPS FP16 and 141 GB VRAM handle massive datasets and parameters essential for training large language models. The A16's 4.5 TFLOPS and 16 GB limit scalability.
H200 supports high batch sizes with 4800 GB/s bandwidth and FP8 at 3958 TFLOPS for efficient serving. A16 restricts to small models due to 231 GB/s and low compute.
Fine-tuning benefits from H200's 67 TFLOPS FP32 and vast memory for parameter-efficient methods. A16's equal 4.5 TFLOPS FP16/FP32 suits only tiny models.
H200 accelerates diffusion models with superior FP16 and bandwidth for faster generation. A16 manages basic runs but slows at higher resolutions.
A16 suffices for FP32-bound simulations at 4.5 TFLOPS with low $0.48/hour cost. H200's 67 TFLOPS excels in complex, memory-intensive HPC.
Frequently Asked Questions
Which GPU has more VRAM: A16 or H200 SXM?▾
The H200 SXM offers 141 GB HBM3e VRAM, far exceeding the A16's 16 GB GDDR6. This enables larger models on the H200. Bandwidth follows suit at 4800 GB/s versus 231 GB/s.
What is the FP16 performance difference between A16 and H200?▾
H200 delivers 1979 TFLOPS FP16 compared to A16's 4.5 TFLOPS. This gap accelerates AI training by orders of magnitude. FP8 on H200 reaches 3958 TFLOPS for inference.
How do cloud prices compare for A16 and H200 SXM?▾
A16 starts at $0.47 per hour averaging $0.48 across 75 offers. H200 SXM begins at $1.19 averaging $3.70 across 23 offers. A16 suits budget needs.
What is the TDP of each GPU?▾
A16 consumes 250W, enabling dense deployments. H200 requires 700W for its high performance. Power scales with compute capabilities.
Which GPU supports better interconnects?▾
H200 SXM includes NVLink, PCIe 5.0, and InfiniBand for multi-GPU scaling. A16 relies on PCIe alone. This aids H200 in clusters.
When was each architecture released?▾
A16 uses Ampere from 2021. H200 employs Hopper from 2024. The generational leap drives H200's specs.
Which is cheaper to rent, the A16 or the H200?▾
Cloud rental prices for both the A16 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 A16 have compared to the H200?▾
The A16 has 16 GB of GDDR6 memory. The H200 has 141 GB of HBM3e memory.
Can I find A16 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 A16 and the H200?▾
The A16 uses the Ampere architecture (2021) while the H200 uses Hopper (2024). The H200 delivers 439.8x the FP16 throughput and 20.8x the memory bandwidth of the A16.