Specifications Compared
| Spec | A10 | H100 |
|---|---|---|
| TDP | 150W | 700W |
| VRAM | 24 GB | 80-94 GB |
| CUDA Cores | 9,216 | 16,896 |
| Memory Type | GDDR6 | HBM3 |
| Architecture | Ampere | Hopper |
| Form Factors | PCIe | SXM5, PCIe, 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 | 3,350 GB/s |
Performance Analysis
The H100 PCIe dominates in compute performance: its 1979 TFLOPS FP16 rating surpasses the A10's 31.2 TFLOPS by over 63 times, accelerating deep learning training where half-precision arithmetic prevails. The A10 maintains parity between FP16 and FP32 at 31.2 TFLOPS each, supporting mixed-precision inference without severe penalties. For inference workloads, the H100's FP8 performance reaches 3958 TFLOPS, enabling deployment of models exceeding the A10's VRAM limits. Memory bandwidth presents a critical disparity: the H100's 3350 GB/s versus the A10's 600 GB/s permits larger batch sizes in training, reducing per-iteration times for large language models by minimizing data transfer bottlenecks. Higher TDP on the H100 at 700W compared to 150W reflects this power for sustained peak throughput. These specs translate to H100 handling models with billions of parameters fluidly, while A10 suits smaller-scale operations.
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 |
H100 PCIe
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Hyperstack | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 124 vCPU 720GB RAM 3300GB Storage | Canada | $1.90/GPU/hr $7.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 60 vCPU 360GB RAM 1600GB Storage | Canada | $1.90/GPU/hr $3.80/hr total (2×) | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.90/GPU/hr $15.20/hr total (8×) | Available | ||
Hyperstack | NVIDIA H100 PCIe 80GB VRAM | 80GB | 28 vCPU 180GB RAM 850GB Storage | Canada | $1.90/GPU/hr | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.95/GPU/hr $15.60/hr total (8×) | Available |
When to Choose the A10
The A10 excels in budget-conscious deployments requiring modest power draw. Its 150W TDP consumes far less energy than the H100's 700W, ideal for dense cloud instances or edge-like servers. At $0.60 per hour starting price, it delivers 31.2 TFLOPS FP32 for inference on models fitting within 24 GB VRAM, such as computer vision tasks or lightweight fine-tuning.
When to Choose the H100 PCIe
Opt for the H100 PCIe in high-throughput machine learning environments. Its 80 GB HBM3 VRAM and 3350 GB/s bandwidth support massive models, with 1979 TFLOPS FP16 enabling rapid LLM training cycles. Despite $1.25 per hour entry pricing, the performance justifies costs for production-scale inference using FP8 at 3958 TFLOPS.
Use Cases
H100 PCIe provides 1979 TFLOPS FP16 and 3350 GB/s bandwidth, enabling efficient training of models too large for A10's 24 GB VRAM and 600 GB/s.
FP8 performance at 3958 TFLOPS on H100 supports high-throughput serving; A10's 31.2 TFLOPS limits scale for large batches.
A10 handles smaller models with 24 GB VRAM at low $0.60 per hour cost; H100 accelerates larger ones via 80 GB capacity.
H100's 1979 TFLOPS FP16 speeds image generation; superior bandwidth avoids A10 bottlenecks in high-resolution workflows.
67 TFLOPS FP32 on H100 outperforms A10's 31.2 TFLOPS for simulations; NVLink interconnect aids multi-GPU scaling.
Frequently Asked Questions
What is the VRAM difference between A10 and H100 PCIe?▾
The A10 offers 24 GB GDDR6 VRAM, while H100 PCIe provides 80 GB HBM3. This allows H100 to load models three times larger without swapping. Bandwidth follows suit at 3350 GB/s versus 600 GB/s.
How do A10 and H100 compare in FP16 performance?▾
H100 PCIe delivers 1979 TFLOPS FP16, exceeding A10's 31.2 TFLOPS by a factor of 63. This gap accelerates training workloads significantly. A10 suits lighter inference tasks.
What are the cloud rental prices for these GPUs?▾
A10 starts at $0.60 per hour with $1.06 average across three offers. H100 PCIe begins at $1.25 per hour, averaging $2.79 across 14 offers. Pricing reflects performance disparity.
Is A10 or H100 better for power efficiency?▾
A10 consumes 150W TDP, far below H100's 700W. It fits low-power clusters efficiently. H100 prioritizes peak 1979 TFLOPS FP16 over efficiency.
Can A10 handle LLM inference?▾
A10 supports inference for models under 24 GB VRAM at 31.2 TFLOPS FP16. Larger LLMs exceed its capacity, favoring H100's 80 GB and FP8 at 3958 TFLOPS. Batch sizes remain small on A10.
What architectures power A10 and H100?▾
A10 uses Ampere from 2021 with PCIe form factor. H100 employs Hopper from 2022, supporting PCIe 5.0 and NVLink. This enables H100 multi-GPU interconnects absent on A10.
Which is cheaper to rent, the A10 or the H100?▾
Cloud rental prices for both the A10 and H100 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 H100?▾
The A10 has 24 GB of GDDR6 memory. The H100 has 80 to 94 GB of HBM3 memory.
Can I find A10 and H100 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 H100?▾
The A10 uses the Ampere architecture (2021) while the H100 uses Hopper (2022). The H100 delivers 63.4x the FP16 throughput and 5.6x the memory bandwidth of the A10.