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
Compute capabilities diverge sharply: H200 NVL achieves 1979 TFLOPS in FP16 versus A10's 31.2 TFLOPS, enabling 63 times faster mixed-precision training for deep learning models. FP32 performance on H200 NVL reaches 67 TFLOPS, more than double A10's 31.2 TFLOPS, which aids single-precision scientific computing and certain inference tasks.
Memory specs transform workloads: 141 GB HBM3e on H200 NVL versus 24 GB GDDR6 on A10 accommodates models exceeding 24 GB, preventing out-of-memory errors in LLM fine-tuning. The 4800 GB/s bandwidth, eight times A10's 600 GB/s, supports larger batch sizes and quicker data transfers, accelerating training iterations and inference throughput.
Inference benefits immensely from H200 NVL's 3958 TFLOPS FP8 capability, absent on A10, allowing quantized deployments of massive models at high speeds.
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 646GB Storage | Czechia | $1.07/GPU/hr | Available |
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 A10
The A10 excels in cost-sensitive, low-power scenarios. Its 150W TDP and pricing from $0.60 per hour suit virtual desktops, graphics rendering, or lightweight inference where 24 GB VRAM and 31.2 TFLOPS FP16 suffice. Deployments avoiding high electricity costs or fitting PCIe slots favor A10 over H200 NVL's 700W and SXM/NVL form factors.
When to Choose the H200 NVL
The H200 NVL dominates large-scale AI tasks. With 141 GB VRAM and NVLink interconnect, it scales multi-GPU clusters for training models beyond A10's 24 GB limit. Users prioritizing 1979 TFLOPS FP16 or 3958 TFLOPS FP8 for inference select H200 NVL despite higher average pricing of $2.60 per hour.
Use Cases
H200 NVL's 1979 TFLOPS FP16 and 141 GB HBM3e VRAM manage massive parameter counts. A10's 31.2 TFLOPS and 24 GB GDDR6 cannot handle equivalent scales.
H200 NVL's 3958 TFLOPS FP8 and 4800 GB/s bandwidth enable high-throughput quantized serving. A10 lacks FP8 support and limits batch sizes with 600 GB/s.
141 GB VRAM on H200 NVL fits full model fine-tuning without sharding. A10's 24 GB restricts to smaller models or heavy optimization.
A10's 31.2 TFLOPS FP16 and $0.60 per hour pricing cover image generation needs efficiently. H200 NVL's power exceeds requirements for this task.
H200 NVL's 67 TFLOPS FP32 and NVLink scaling boost simulations. A10's matching 31.2 TFLOPS FP32 falls short for bandwidth-intensive computations.
Frequently Asked Questions
Which GPU has more VRAM?▾
The H200 NVL offers 141 GB HBM3e VRAM, far exceeding the A10's 24 GB GDDR6. This difference allows H200 NVL to load larger AI models without splitting across GPUs.
How do cloud prices compare?▾
A10 pricing starts at $0.60 per hour with an average of $1.06 per hour across three offers. H200 NVL begins at $0.50 per hour but averages $2.60 per hour across five offers.
What is the FP16 performance difference?▾
H200 NVL delivers 1979 TFLOPS FP16, compared to A10's 31.2 TFLOPS. This 63-fold gap accelerates AI training significantly on H200 NVL.
Which is better for power efficiency?▾
A10 consumes 150W TDP, lower than H200 NVL's 700W. A10 suits power-constrained environments despite lower performance.
Does H200 NVL support faster interconnects?▾
H200 NVL includes NVLink, PCIe 5.0, and InfiniBand, enabling superior multi-GPU scaling. A10 limits to PCIe without advanced options.
What memory bandwidth do they have?▾
H200 NVL provides 4800 GB/s, eight times A10's 600 GB/s. Higher bandwidth on H200 NVL supports larger batches and faster data movement.
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.