Specifications Compared
| Spec | A10 | MI250X |
|---|---|---|
| TDP | 150W | 560W |
| VRAM | 24 GB | 128 GB |
| CUDA Cores | 9,216 | |
| Memory Type | GDDR6 | HBM2e |
| Architecture | Ampere | CDNA 2 |
| Form Factors | PCIe | OAM |
| Interconnect | Infinity Fabric | |
| Tensor Cores | 288 | |
| FP16 Performance | 31.2 TFLOPS | 383 TFLOPS |
| FP32 Performance | 31.2 TFLOPS | 383 TFLOPS |
| INT8 Performance | 250 TOPS | |
| Memory Bandwidth | 600 GB/s | 3,277 GB/s |
Performance Analysis
Memory capacity sets these GPUs apart in handling large datasets: the A10's 24 GB GDDR6 limits it to smaller models or batch sizes, whereas the MI250X's 128 GB HBM2e supports massive models common in modern AI. Bandwidth reinforces this: 600 GB/s on the A10 versus 3277 GB/s on the MI250X enables faster data movement, reducing bottlenecks in training loops and allowing larger batches without performance degradation.
Compute throughput favors the MI250X dramatically: 383 TFLOPS in FP16 and FP32 dwarfs the A10's 31.2 TFLOPS in each. This delta accelerates mixed-precision training and inference, where FP16 handles most operations and FP32 ensures numerical stability. For deep learning frameworks like PyTorch or TensorFlow, the MI250X completes epochs quicker on large neural networks.
Power efficiency tilts toward the A10: its 150W TDP consumes far less than the MI250X's 560W, suiting dense deployments or edge-like cloud instances. Interconnects differ too, with PCIe on the A10 for broad compatibility and Infinity Fabric on the MI250X for multi-GPU scaling in AMD ecosystems.
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 |
MI250X
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.28/GPU/hr $5.12/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.44/GPU/hr $5.76/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.52/GPU/hr $6.08/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.60/GPU/hr $6.40/hr total (4×) |
When to Choose the A10
The A10 suits budget-limited projects with moderate AI demands. Its pricing from $0.60 per hour and 150W TDP make it ideal for inference on models fitting within 24 GB VRAM, such as computer vision tasks or smaller LLMs. PCIe form factor ensures easy integration into standard cloud servers without specialized hardware.
Users prioritizing low operational costs over peak performance select the A10. At an average $1.06 per hour, it delivers 31.2 TFLOPS FP32 for fine-tuning or Stable Diffusion without the MI250X's higher power and price demands.
When to Choose the MI250X
The MI250X excels in memory-hungry workloads like training large language models. Its 128 GB HBM2e VRAM and 3277 GB/s bandwidth handle enormous batch sizes and datasets infeasible on the A10's 24 GB GDDR6.
High-performance computing benefits from the MI250X's 383 TFLOPS FP16/FP32 and Infinity Fabric interconnect. Despite $1.28 per hour starting price and 560W TDP, it scales efficiently for multi-GPU clusters in scientific simulations or enterprise AI training.
Use Cases
The MI250X's 128 GB HBM2e VRAM and 383 TFLOPS FP16 support massive models and large batches unavailable on the A10's 24 GB GDDR6. Its 3277 GB/s bandwidth minimizes data transfer delays during training.
High memory capacity of 128 GB on the MI250X accommodates full-precision large models for low-latency serving. The A10's 24 GB limits it to quantized or smaller variants.
383 TFLOPS FP32 on the MI250X speeds up gradient computations on datasets exceeding 24 GB. Bandwidth of 3277 GB/s handles efficient parameter updates.
The A10's 31.2 TFLOPS FP16 suffices for image generation at $0.60 per hour starting price. Lower 150W TDP fits lightweight inference pipelines.
MI250X's Infinity Fabric and 383 TFLOPS excel in parallel simulations requiring high memory bandwidth of 3277 GB/s. OAM form factor supports HPC clusters.
Frequently Asked Questions
Which GPU has more VRAM?▾
The MI250X provides 128 GB HBM2e VRAM, far exceeding the A10's 24 GB GDDR6. This makes the MI250X better for large models. The A10 suits smaller workloads within its capacity.
How do their prices compare?▾
A10 pricing starts at $0.60 per hour with an average of $1.06 per hour across three offers. MI250X begins at $1.28 per hour, averaging $1.46 per hour over four offers. Cost savings favor the A10 for light use.
What is the compute performance difference?▾
MI250X delivers 383 TFLOPS in FP16 and FP32, compared to A10's 31.2 TFLOPS in each. This 12x gap accelerates training and inference. FP32 parity within each GPU aids precision tasks.
Which has higher memory bandwidth?▾
MI250X offers 3277 GB/s, over 5x the A10's 600 GB/s. Higher bandwidth reduces bottlenecks in data-heavy AI. It enables larger batch sizes effectively.
What are their power consumptions?▾
A10 TDP is 150W, much lower than MI250X's 560W. Lower power suits efficient deployments. MI250X demands robust cooling for sustained performance.
Are they from the same generation?▾
Both launched in 2021: A10 on Ampere, MI250X on CDNA 2. Architectures target datacenter AI differently. PCIe on A10 aids compatibility, Infinity Fabric on MI250X boosts scaling.
Which is cheaper to rent, the A10 or the MI250X?▾
Cloud rental prices for both the A10 and MI250X 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 MI250X?▾
The A10 has 24 GB of GDDR6 memory. The MI250X has 128 GB of HBM2e memory.
Can I find A10 and MI250X 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 MI250X?▾
The A10 uses the Ampere architecture (2021) while the MI250X uses CDNA 2 (2021). The MI250X delivers 12.3x the FP16 throughput and 5.5x the memory bandwidth of the A10.