Specifications Compared
| Spec | A100 | MI325X |
|---|---|---|
| TDP | 400W | 750W |
| VRAM | 40-80 GB | 256 GB |
| CUDA Cores | 6,912 | |
| Memory Type | HBM2e | HBM3e |
| Architecture | Ampere | CDNA 3 |
| Form Factors | SXM4, PCIe | OAM |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | Infinity Fabric |
| Tensor Cores | 432 | |
| FP16 Performance | 312 TFLOPS | 1,307 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 1307 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 40.9 TFLOPS |
| INT8 Performance | 624 TOPS | 2,614 TOPS |
| Memory Bandwidth | 2,039 GB/s | 6,000 GB/s |
Performance Analysis
The MI325X demonstrates superior raw compute with 1307 TFLOPS in FP16 compared to the A100's 312 TFLOPS, enabling faster training cycles for deep learning models that leverage half-precision arithmetic. The A100's FP16 to FP32 ratio of 16:1 favors training where FP16 dominates, but its 19.5 TFLOPS FP32 limits single-precision tasks. The MI325X balances FP16 and FP32 at 1307 TFLOPS each, supporting versatile workloads, while its 2614 TFLOPS FP8 excels in inference for quantized models.
Memory differences profoundly impact real-world usage: the MI325X's 6000 GB/s bandwidth, nearly three times the A100's 2039 GB/s, sustains larger batch sizes in training and reduces latency in inference. This allows the MI325X to handle models exceeding 80 GB VRAM without excessive swapping. The A100's lower 400W TDP versus 750W aids power-constrained deployments, though the MI325X's 256 GB capacity future-proofs for expansive datasets.
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 | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 397GB Storage | Slovenia | $0.73/GPU/hr | 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 | ||
 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×) | |||
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×) |
When to Choose the A100 SXM4 80GB
Select the A100 SXM4 80GB for immediate deployment in cloud environments due to its availability across 30 live offers starting at $0.13 per hour. Its mature NVIDIA ecosystem, including NVLink interconnect and CUDA optimization, ensures compatibility with existing AI frameworks. Lower 400W TDP suits clusters with power limits, and 312 TFLOPS FP16 suffices for standard training tasks under 80 GB models.
When to Choose the MI325X
Choose the MI325X when memory capacity exceeds 80 GB, as its 256 GB HBM3e handles massive models without partitioning. The 6000 GB/s bandwidth and 1307 TFLOPS across FP16/FP32 accelerate large-batch training and FP8 inference. Infinity Fabric interconnect scales multi-GPU setups for cutting-edge research.
Use Cases
The MI325X's 256 GB VRAM and 6000 GB/s bandwidth support larger models and batches than the A100's 80 GB and 2039 GB/s. Its 1307 TFLOPS FP16 exceeds the A100's 312 TFLOPS for faster convergence.
MI325X's 2614 TFLOPS FP8 and 256 GB capacity optimize quantized large language models. Higher bandwidth reduces latency compared to A100's constraints.
A100's availability and 312 TFLOPS FP16 handle most fine-tuning under 80 GB. MI325X excels for parameter-heavy models with 1307 TFLOPS and more VRAM.
MI325X's 6000 GB/s bandwidth accelerates diffusion model generation with large batches. 1307 TFLOPS FP16 surpasses A100's 312 TFLOPS.
A100's 19.5 TFLOPS FP32 and lower 400W TDP fit simulations with balanced precision needs. NVLink aids multi-GPU scientific codes.
Frequently Asked Questions
Which GPU has more VRAM?▾
The MI325X offers 256 GB HBM3e, surpassing the A100 SXM4 80GB's 80 GB HBM2e. This enables handling of larger models without model parallelism. Bandwidth follows suit at 6000 GB/s versus 2039 GB/s.
What are the compute performances?▾
MI325X delivers 1307 TFLOPS FP16, 1307 TFLOPS FP32, and 2614 TFLOPS FP8. A100 provides 312 TFLOPS FP16 and 19.5 TFLOPS FP32. MI325X excels in balanced and low-precision tasks.
How do power consumptions compare?▾
A100 has a 400W TDP, lower than MI325X's 750W. This makes A100 preferable in power-limited data centers. Higher TDP on MI325X correlates with greater performance.
What is the cloud pricing?▾
A100 SXM4 80GB starts at $0.13 per hour, averaging $1.28 per hour over 30 offers. MI325X has no live cloud offers currently. Availability favors A100 for rentals.
Which is better for AI training?▾
MI325X leads with 1307 TFLOPS FP16 and 256 GB VRAM for large-scale training. A100's 312 TFLOPS FP16 suits smaller jobs with proven ecosystem. Memory bandwidth of 6000 GB/s gives MI325X an edge.
What interconnects do they use?▾
A100 supports NVLink, PCIe 4.0, and InfiniBand. MI325X uses Infinity Fabric. These enable high-speed multi-GPU communication in clusters.
Which is cheaper to rent, the A100 or the MI325X?▾
Cloud rental prices for both the A100 and MI325X 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 MI325X?▾
The A100 has 40 to 80 GB of HBM2e memory. The MI325X has 256 GB of HBM3e memory.
Can I find A100 and MI325X 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 MI325X?▾
The A100 uses the Ampere architecture (2020) while the MI325X uses CDNA 3 (2024). The MI325X delivers 4.2x the FP16 throughput and 2.9x the memory bandwidth of the A100.