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, accelerating mixed-precision deep learning training where FP16 dominates. A100's FP32 capability at 19.5 TFLOPS lags far behind MI250X's 383 TFLOPS, limiting A100 in FP32-heavy scientific simulations or legacy codes requiring single precision. This balance on MI250X enables versatile workloads without precision-specific bottlenecks. MI250X's 3277 GB/s bandwidth exceeds A100's 2039 GB/s, supporting larger batch sizes in memory-bound inference and training of large language models. The 128 GB VRAM on MI250X handles models exceeding 80 GB capacities on A100, reducing model parallelism needs. Higher TDP of 560W on MI250X versus 400W on A100 reflects greater compute density but demands robust cooling.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 80GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 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 | ||
 Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) |
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 PCIe 80GB
The NVIDIA A100 PCIe 80GB fits environments prioritizing software ecosystem compatibility through CUDA, which supports more frameworks than ROCm. With 28 live cloud offers starting at $0.89 per hour compared to MI250X's 4 offers from $1.28 per hour, procurement is simpler and often cheaper on entry rates. Lower 400W TDP suits power-constrained clusters, and PCIe 4.0 with NVLink enables scalable multi-GPU setups in familiar NVIDIA infrastructure.
When to Choose the MI250X
The AMD Instinct MI250X excels in memory-intensive applications leveraging 128 GB HBM2e VRAM over A100's 80 GB, ideal for massive datasets or unpartitioned large models. Superior 3277 GB/s bandwidth and balanced 383 TFLOPS across FP16 and FP32 outperform A100 in bandwidth-limited training and FP32-dominant HPC tasks. Average pricing at $1.46 per hour across available offers provides cost efficiency for high-memory workloads.
Use Cases
A100's CUDA support integrates seamlessly with popular frameworks like PyTorch. Greater availability with 28 cloud offers ensures easier scaling.
MI250X's 128 GB VRAM and 3277 GB/s bandwidth handle larger batch sizes for high-throughput inference. Balanced 383 TFLOPS FP16 outperforms A100's 312 TFLOPS.
Both GPUs suffice with A100 at 80 GB VRAM for most models and MI250X at 128 GB for edge cases. Choice depends on ecosystem: CUDA for A100, cost for MI250X averaging $1.46 per hour.
A100's 312 TFLOPS FP16 accelerates diffusion model generation via optimized CUDA libraries. More cloud offers at 28 versus 4 provide flexibility.
MI250X's 383 TFLOPS FP32 vastly exceeds A100's 19.5 TFLOPS for simulations. Infinity Fabric interconnect scales HPC clusters effectively.
Frequently Asked Questions
Which GPU has more VRAM: A100 PCIe 80GB or MI250X?▾
The MI250X provides 128 GB HBM2e VRAM, surpassing the A100 PCIe 80GB's 80 GB. This enables MI250X to load larger models without partitioning. A100 remains sufficient for many AI tasks under 80 GB.
How do FP32 performance levels compare between A100 and MI250X?▾
MI250X achieves 383 TFLOPS in FP32, far exceeding A100's 19.5 TFLOPS. This gap favors MI250X in single-precision scientific computing. A100 prioritizes FP16 at 312 TFLOPS for ML.
What are the cloud pricing differences for A100 PCIe 80GB versus MI250X?▾
A100 PCIe 80GB starts at $0.89 per hour averaging $2.08 across 28 offers, while MI250X begins at $1.28 per hour averaging $1.46 across 4 offers. A100 offers more availability but higher average cost. MI250X provides better value per TFLOPS in limited spots.
Which has higher memory bandwidth: A100 or MI250X?▾
MI250X delivers 3277 GB/s bandwidth compared to A100's 2039 GB/s. Higher bandwidth on MI250X supports larger batches in training. This impacts memory-bound workloads significantly.
Is MI250X more power efficient than A100?▾
A100 consumes 400W TDP versus MI250X's 560W, making A100 preferable in power-limited setups. MI250X justifies higher power with 383 TFLOPS across precisions. Efficiency per watt favors A100 for FP16 tasks.
Which GPU is better for multi-GPU scaling?▾
A100 PCIe 80GB uses NVLink and PCIe 4.0 for robust scaling in NVIDIA clusters. MI250X relies on Infinity Fabric in OAM form factors. A100's ecosystem supports broader multi-node deployments.
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.