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 FP16 performance gap defines key differences: the MI325X achieves 1307 TFLOPS compared to the A100's 312 TFLOPS, enabling four times faster tensor operations critical for AI training. The A100's FP32 at 19.5 TFLOPS lags behind the MI325X's matched 1307 TFLOPS, which supports balanced precision workloads without tensor core dependency. This delta means the MI325X accelerates deep learning training phases reliant on mixed precision, while the A100 suffices for legacy FP32-heavy simulations.
Memory bandwidth profoundly impacts real-world usage: 6000 GB/s on the MI325X versus 2039 GB/s on the A100 allows three times larger batch sizes in training, reducing iterations and time to convergence. The 256 GB HBM3e VRAM on the MI325X handles models exceeding 80 GB without multi-GPU sharding, unlike the A100 which requires scaling for massive LLMs. Inference benefits from the MI325X's FP8 at 2614 TFLOPS for quantized deployments.
Higher TDP of 750W on the MI325X demands robust cooling, but yields superior throughput: overall, these specs position it for memory-bound tasks where the A100 faces bottlenecks.
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 646GB Storage | Czechia | $1.07/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×) |
When to Choose the A100 PCIe 80GB
Select the NVIDIA A100 PCIe 80GB for immediate deployment in AI workloads. Live cloud pricing starts at $0.89 per hour with an average of $2.05 per hour across 29 offers ensures accessibility today, unlike the MI325X with no availability. Its 400W TDP fits standard data centers, and mature NVLink plus PCIe 4.0 interconnects integrate seamlessly with existing NVIDIA software ecosystems for training and inference.
Proven reliability suits production environments handling up to 80 GB models without the risks of untested hardware.
When to Choose the MI325X
Choose the AMD Instinct MI325X for future-proofing large-scale AI and HPC applications. Its 256 GB HBM3e VRAM accommodates massive models that exceed the A100's 80 GB limit, while 6000 GB/s bandwidth supports enormous batch sizes. FP16 and FP32 at 1307 TFLOPS each deliver superior throughput for training and precision computing.
Infinity Fabric interconnect optimizes multi-GPU clusters for workloads demanding peak memory capacity.
Use Cases
The MI325X's 1307 TFLOPS FP16 and 256 GB VRAM handle massive datasets and models far beyond the A100's 312 TFLOPS and 80 GB. Higher 6000 GB/s bandwidth supports larger batches for quicker convergence.
FP8 performance at 2614 TFLOPS on the MI325X accelerates quantized inference, paired with 6000 GB/s bandwidth for high throughput. The 256 GB capacity serves larger models without sharding.
Balanced 1307 TFLOPS FP32/FP16 on the MI325X speeds parameter updates on big models fitting its 256 GB VRAM. Superior bandwidth minimizes data loading delays versus the A100.
A100's 312 TFLOPS FP16 suffices for standard image generation at $0.89 per hour availability. MI325X excels for high-resolution batches with 1307 TFLOPS and more VRAM.
A100's mature ecosystem and 19.5 TFLOPS FP32 suit simulations with immediate access at average $2.05 per hour. Lower 400W TDP fits varied clusters better than MI325X's 750W.
Frequently Asked Questions
What is the VRAM difference between A100 PCIe 80GB and MI325X?▾
The A100 provides 80 GB HBM2e VRAM, while the MI325X offers 256 GB HBM3e. This tripling enables the MI325X to load much larger models without multi-GPU setups. Batch sizes expand accordingly in memory-intensive tasks.
How do FP16 performances compare?▾
MI325X delivers 1307 TFLOPS FP16 versus A100's 312 TFLOPS, a fourfold increase. This boosts AI training speed significantly on the MI325X. Inference with low precision also accelerates.
What are the current cloud prices for these GPUs?▾
NVIDIA A100 PCIe 80GB starts at $0.89 per hour, averaging $2.05 per hour across 29 offers. AMD MI325X has no live cloud offers available yet. Pricing for MI325X awaits market entry.
Which has higher memory bandwidth?▾
MI325X achieves 6000 GB/s compared to A100's 2039 GB/s, nearly tripling data throughput. Larger batches become feasible, reducing training time. This favors memory-bound workloads.
What are the TDP ratings?▾
A100 consumes 400W TDP, lower than MI325X's 750W. A100 suits power-constrained setups better. MI325X demands advanced cooling for its performance gains.
Does MI325X support FP8?▾
MI325X provides 2614 TFLOPS FP8, absent on A100. This enhances quantized inference efficiency. It positions MI325X for deployment-optimized LLMs.
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.