Specifications Compared
| Spec | A100 | MI250X |
|---|---|---|
| TDP | 400W | 560W |
| VRAM | 40-80 GB | 128 GB |
| CUDA Cores | 6,912 | |
| Memory Type | HBM2e | HBM2e |
| Architecture | Ampere | CDNA 2 |
| Form Factors | SXM4, PCIe | OAM |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | Infinity Fabric |
| Tensor Cores | 432 | |
| FP16 Performance | 312 TFLOPS | 383 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 383 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 48 TFLOPS |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 3,277 GB/s |
Performance Analysis
MI250X outperforms A100 in FP16 at 383 TFLOPS versus 312 TFLOPS, aiding mixed-precision deep learning training where speedups occur without accuracy loss. The stark FP32 gap, 383 TFLOPS on MI250X against 19.5 TFLOPS on A100, favors MI250X for precision-heavy tasks like fluid dynamics simulations or certain inference pipelines requiring full single-precision math.
Memory bandwidth of 3277 GB/s on MI250X exceeds A100's 2039 GB/s, enabling larger batch sizes in model training and reducing iterations needed for convergence. This pairs with 128 GB VRAM on MI250X over 80 GB on A100, accommodating massive datasets or models without excessive multi-GPU scaling. In inference, higher bandwidth minimizes latency for high-throughput serving.
TDP differences, 560W for MI250X and 400W for A100, impact cluster density: A100 allows more GPUs per rack, potentially lowering costs in power-constrained clouds.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 80GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 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 | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 126GB RAM 1114GB Storage | Czechia | $1.00/GPU/hr $2.00/hr total (2×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 646GB Storage | Czechia | $1.07/GPU/hr | Available | ||
 Denvr | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 512GB RAM 7600GB Storage | Virginia | $1.15/GPU/hr $4.60/hr total (4×) |
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 A100 SXM4 80GB
Opt for NVIDIA A100 SXM4 80GB in CUDA-dependent workflows, including most PyTorch and TensorFlow applications optimized over years. Its 22 live cloud offers starting at $0.67/hr provide superior availability compared to MI250X's 4 offers from $1.28/hr. Lower 400W TDP suits dense deployments, and NVLink interconnect excels in multi-GPU NVIDIA clusters for scaled training.
When to Choose the MI250X
Select AMD Instinct MI250X for workloads leveraging its 128 GB VRAM and 3277 GB/s bandwidth, ideal for loading enormous models without partitioning. Balanced 383 TFLOPS across FP16 and FP32 accelerates FP32-intensive HPC tasks. Infinity Fabric supports AMD-centric fabrics, though fewer cloud options exist at $1.28/hr starting.
Use Cases
A100's CUDA optimization supports established frameworks for large language models. Greater cloud availability at $0.67/hr facilitates scaling.
MI250X's 128 GB VRAM handles massive models, while A100's 312 TFLOPS FP16 suits high-throughput serving. Choice depends on software stack.
A100 excels with 80 GB VRAM and NVLink for efficient multi-GPU fine-tuning in CUDA environments. Lower 400W TDP aids cost control.
Stable Diffusion tools rely on CUDA, leveraging A100's 312 TFLOPS FP16 for image generation. Abundant offers at $0.67/hr add value.
MI250X's 383 TFLOPS FP32 matches its FP16, ideal for simulations. 3277 GB/s bandwidth supports large datasets.
Frequently Asked Questions
Which GPU has more VRAM?▾
AMD Instinct MI250X offers 128 GB HBM2e VRAM, surpassing NVIDIA A100 SXM4 80GB's 80 GB. This enables larger models on MI250X without splitting across GPUs.
How do FP32 performances compare?▾
MI250X delivers 383 TFLOPS FP32, far exceeding A100's 19.5 TFLOPS. MI250X suits FP32-heavy scientific computing better.
What are the cloud pricing differences?▾
A100 starts at $0.67/hr (average $1.43/hr across 22 offers), cheaper than MI250X's $1.28/hr (average $1.46/hr across 4 offers). A100 provides more options.
Which has higher memory bandwidth?▾
MI250X achieves 3277 GB/s, over A100's 2039 GB/s. Higher bandwidth on MI250X supports bigger batch sizes in training.
What are the TDPs?▾
A100 consumes 400W, lower than MI250X's 560W. A100 fits denser cloud racks with reduced power needs.
Which is better for multi-GPU setups?▾
A100 uses NVLink for high-speed NVIDIA interconnects, while MI250X relies on Infinity Fabric. A100 integrates seamlessly in NVIDIA clusters.
Which is cheaper to rent, the A100 or the MI250X?▾
Cloud rental prices for both the A100 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 A100 have compared to the MI250X?▾
The A100 has 40 to 80 GB of HBM2e memory. The MI250X has 128 GB of HBM2e memory.
Can I find A100 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 A100 and the MI250X?▾
The A100 uses the Ampere architecture (2020) while the MI250X uses CDNA 2 (2021). The MI250X delivers 1.2x the FP16 throughput and 1.6x the memory bandwidth of the A100.