Specifications Compared
| Spec | A100 | MI355X |
|---|---|---|
| TDP | 400W | 750W |
| VRAM | 40-80 GB | 288 GB |
| CUDA Cores | 6,912 | |
| Memory Type | HBM2e | HBM3e |
| Architecture | Ampere | CDNA 4 |
| Form Factors | SXM4, PCIe | OAM |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | Infinity Fabric |
| Tensor Cores | 432 | |
| FP16 Performance | 312 TFLOPS | 2,300 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 2300 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 72 TFLOPS |
| INT8 Performance | 624 TOPS | 4,600 TOPS |
| Memory Bandwidth | 2,039 GB/s | 8,000 GB/s |
Performance Analysis
Memory capacity marks the starkest divide: the MI355X's 288 GB HBM3e dwarfs the A100 PCIe 80GB's 80 GB HBM2e, enabling deployment of models exceeding 100 billion parameters without sharding. This advantage pairs with 8000 GB/s bandwidth versus 2039 GB/s, allowing 3.9x faster data throughput for larger batch sizes in training and inference, minimizing latency in memory-bound tasks.
Compute disparities reshape workload efficiency. The A100's 312 TFLOPS FP16 vastly outpaces its 19.5 TFLOPS FP32, suiting mixed-precision training where FP16 speeds iterations by 16x over FP32. The MI355X equalizes at 2300 TFLOPS for both precisions, eliminating bottlenecks in FP32-heavy training, while 4600 TFLOPS FP8 accelerates inference by 14.7x over A100 FP16 for quantized models.
Power scales accordingly: 750W TDP on MI355X sustains higher throughput, though 400W A100 fits denser clusters.
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 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 PCIe 80GB
The A100 PCIe 80GB fits production environments needing instant access. Cloud pricing starts at $0.89 per hour across 29 offers, averaging $2.05 per hour, with mature NVLink and PCIe 4.0 support for scalable clusters. Its 400W TDP consumes less power than 750W alternatives, ideal for cost-sensitive or power-limited setups.
Workloads under 80 GB VRAM, like fine-tuning mid-sized models at 312 TFLOPS FP16, leverage proven reliability without future hardware risks.
When to Choose the MI355X
The MI355X dominates memory-hungry applications. 288 GB HBM3e VRAM handles enormous models, paired with 8000 GB/s bandwidth for seamless large-batch processing. 2300 TFLOPS FP32 performance excels in precision-critical tasks beyond A100's 19.5 TFLOPS.
Forward-looking deployments in 2025 favor MI355X for 7.4x FP16 gains and FP8 inference at 4600 TFLOPS, despite OAM form factor limitations.
Use Cases
MI355X's 288 GB VRAM and 2300 TFLOPS FP16/FP32 handle massive datasets and models without sharding. A100's 80 GB limits batch sizes at 2039 GB/s bandwidth.
4600 TFLOPS FP8 and 8000 GB/s bandwidth enable high-throughput quantized serving. A100's 312 TFLOPS FP16 falls short for scale.
A100's 80 GB suffices for models under 70B parameters at $0.89/hr availability. MI355X accelerates larger ones with 2300 TFLOPS FP32.
A100's 312 TFLOPS FP16 and 80 GB VRAM meet image generation needs efficiently at low cost. MI355X overkill for typical resolutions.
MI355X's 2300 TFLOPS FP32 matches high-precision simulations with 288 GB capacity. A100's 19.5 TFLOPS FP32 constrains complex datasets.
Frequently Asked Questions
What is the VRAM difference between A100 PCIe 80GB and MI355X?▾
The A100 PCIe 80GB has 80 GB HBM2e VRAM. The MI355X provides 288 GB HBM3e, a 3.6x increase. This enables MI355X to load much larger models in one GPU.
How do FP16 performances compare?▾
A100 PCIe 80GB delivers 312 TFLOPS FP16. MI355X reaches 2300 TFLOPS FP16, 7.4x higher. MI355X suits accelerated training workloads.
What are the memory bandwidth specs?▾
A100 PCIe 80GB offers 2039 GB/s. MI355X achieves 8000 GB/s, 3.9x faster. Higher bandwidth on MI355X boosts large-batch processing.
Is cloud pricing available for these GPUs?▾
A100 PCIe 80GB starts at $0.89 per hour, averaging $2.05 per hour across 29 offers. MI355X has no live offers currently. A100 provides immediate access.
What are the TDP ratings?▾
A100 PCIe 80GB uses 400W TDP. MI355X requires 750W TDP. Lower power on A100 fits constrained data centers better.
Does MI355X support FP8?▾
MI355X delivers 4600 TFLOPS FP8 for inference. A100 lacks FP8 specs. This gives MI355X an edge in quantized deployments.
Which is cheaper to rent, the A100 or the MI355X?▾
Cloud rental prices for both the A100 and MI355X 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 MI355X?▾
The A100 has 40 to 80 GB of HBM2e memory. The MI355X has 288 GB of HBM3e memory.
Can I find A100 and MI355X 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 MI355X?▾
The A100 uses the Ampere architecture (2020) while the MI355X uses CDNA 4 (2025). The MI355X delivers 7.4x the FP16 throughput and 3.9x the memory bandwidth of the A100.