Specifications Compared
| Spec | A10 | H200 |
|---|---|---|
| TDP | 150W | 700W |
| VRAM | 24 GB | 141 GB |
| CUDA Cores | 9,216 | 16,896 |
| Memory Type | GDDR6 | HBM3e |
| Architecture | Ampere | Hopper |
| Form Factors | PCIe | SXM, NVL |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 288 | 528 |
| FP16 Performance | 31.2 TFLOPS | 1,979 TFLOPS |
| FP32 Performance | 31.2 TFLOPS | 67 TFLOPS |
| INT8 Performance | 250 TOPS | 3,958 TOPS |
| Memory Bandwidth | 600 GB/s | 4,800 GB/s |
Performance Analysis
The H200's FP16 performance of 1979 TFLOPS dwarfs the A10's 31.2 TFLOPS, accelerating deep learning training by enabling larger batch sizes and faster iterations. In inference, this delta supports high-throughput serving of complex models. The H200's FP8 capability at 3958 TFLOPS further optimizes quantized inference, absent in the A10.
FP32 performance shows the A10 at 31.2 TFLOPS matching its FP16, ideal for graphics, while the H200 reaches 67 TFLOPS, doubling capacity for simulation tasks. Memory bandwidth disparity is stark: 4800 GB/s on the H200 versus 600 GB/s on the A10 reduces bottlenecks in data-heavy workloads, allowing 6 to 8 times larger batches without swapping.
VRAM defines feasibility: 141 GB HBM3e on the H200 handles models over 100 billion parameters in one GPU, versus the A10's 24 GB GDDR6 limiting to smaller models or multi-GPU setups. Higher TDP of 700W on the H200 demands robust cooling, contrasting the A10's efficient 150W.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A10
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 10×NVIDIA A10 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.60/GPU/hr $6.00/hr total (10×) | Available | ||
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
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 | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 557GB Storage | Czechia | $1.00/GPU/hr | Available |
H200
| 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 | NVIDIA H200 SXM 141GB VRAM | 141GB | 24 vCPU 240GB RAM 3000GB Storage | London | $3.50/GPU/hr | Available |
When to Choose the A10
The A10 suits budget-conscious deployments with lighter AI inference or graphics rendering. Its 24 GB VRAM and 600 GB/s bandwidth handle Stable Diffusion or small model fine-tuning without excess cost, averaging $1.06 per hour across 3 cloud offers. Low 150W TDP fits standard PCIe servers, avoiding high-power infrastructure.
Choose the A10 for non-critical tasks where 31.2 TFLOPS FP16 suffices and PCIe form factor simplifies integration.
When to Choose the H200
The H200 dominates large-scale LLM training and inference requiring 141 GB VRAM to load models without partitioning. Its 1979 TFLOPS FP16 and 4800 GB/s bandwidth enable rapid iterations on billion-parameter models, justifying $3.62 average hourly cost across 26 offers.
Opt for the H200 in HPC or enterprise AI where NVLink interconnect and SXM form factor scale multi-GPU clusters efficiently.
Use Cases
The H200's 1979 TFLOPS FP16 and 141 GB HBM3e VRAM support training massive models with large batches, far beyond the A10's 31.2 TFLOPS and 24 GB GDDR6.
H200's 3958 TFLOPS FP8 and 4800 GB/s bandwidth enable high-throughput serving of large LLMs in one GPU, unlike the A10 limited by 24 GB VRAM.
Fine-tuning benefits from H200's 67 TFLOPS FP32 and vast memory for full model loading, accelerating processes over A10's constraints.
A10's 24 GB VRAM and 31.2 TFLOPS suffice for standard image generation; H200 overkill unless scaling to high-resolution batches.
H200's Hopper architecture, NVLink, and 4800 GB/s bandwidth excel in simulations needing high FP32 (67 TFLOPS) and multi-GPU scaling.
Frequently Asked Questions
Which GPU has more VRAM: A10 or H200?▾
The H200 provides 141 GB HBM3e VRAM, compared to the A10's 24 GB GDDR6. This allows the H200 to handle much larger AI models without multi-GPU setups. The difference suits high-parameter LLMs on H200.
How do A10 and H200 compare in FP16 performance?▾
H200 achieves 1979 TFLOPS FP16, over 63 times the A10's 31.2 TFLOPS. This gap accelerates ML training and inference significantly on H200. Real-world batch processing speeds up dramatically.
What are the current cloud prices for A10 vs H200?▾
A10 starts at $0.60 per hour (average $1.06 across 3 offers), while H200 starts at $0.50 (average $3.62 across 26 offers). A10 offers better value for light tasks; H200 for performance-intensive ones.
Is the H200 more power-efficient than A10?▾
No, H200 has 700W TDP versus A10's 150W. A10 fits low-power PCIe setups efficiently. H200 requires advanced cooling for its SXM form factor.
Can A10 handle LLM inference like H200?▾
A10's 24 GB VRAM limits it to smaller LLMs, unlike H200's 141 GB for full-scale models. H200's 3958 TFLOPS FP8 boosts quantized inference throughput. Use A10 only for sub-20B parameter models.
What interconnects do these GPUs support?▾
A10 uses PCIe only, while H200 supports NVLink, PCIe 5.0, and InfiniBand. H200 enables faster multi-GPU communication for clusters. This makes H200 ideal for scaled AI training.
Which is cheaper to rent, the A10 or the H200?▾
Cloud rental prices for both the A10 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 A10 have compared to the H200?▾
The A10 has 24 GB of GDDR6 memory. The H200 has 141 GB of HBM3e memory.
Can I find A10 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 A10 and the H200?▾
The A10 uses the Ampere architecture (2021) while the H200 uses Hopper (2024). The H200 delivers 63.4x the FP16 throughput and 8.0x the memory bandwidth of the A10.