Specifications Compared
| Spec | A100 | MI300X |
|---|---|---|
| TDP | 400W | 750W |
| VRAM | 40-80 GB | 192 GB |
| CUDA Cores | 6,912 | |
| Memory Type | HBM2e | HBM3 |
| Architecture | Ampere | CDNA 3 |
| Form Factors | SXM4, PCIe | OAM |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | Infinity Fabric, PCIe 5.0 |
| Tensor Cores | 432 | |
| FP16 Performance | 312 TFLOPS | 1,307 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 163 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 81.7 TFLOPS |
| INT8 Performance | 624 TOPS | 2,614 TOPS |
| Memory Bandwidth | 2,039 GB/s | 5,300 GB/s |
Performance Analysis
The MI300X outperforms the A100 dramatically in compute: 1307 TFLOPS FP16 versus 312 TFLOPS accelerates deep learning training, where mixed precision dominates. FP32 reaches 163 TFLOPS on MI300X against 19.5 TFLOPS on A100, benefiting scientific simulations requiring single precision. FP8 at 2614 TFLOPS on MI300X further optimizes inference for quantized models.
Memory specs define real-world scalability: 192 GB HBM3 on MI300X versus 40 GB HBM2e on A100 supports larger batch sizes in LLM training, reducing overhead from sharding. Bandwidth of 5300 GB/s on MI300X doubles the A100's 2039 GB/s, minimizing bottlenecks in data-heavy tasks like diffusion models.
Higher TDP of 750W on MI300X demands robust cooling compared to A100's 400W, but yields throughput gains for sustained workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 40GB
| 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×) |
MI300X
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | AMD Instinct MI300X 192GB VRAM | 192GB | 24 vCPU 256GB RAM | 🌍global | $1.99/GPU/hr | |||
 Hot Aisle | AMD Instinct MI300X 192GB VRAM | 192GB | 8 vCPU 224GB RAM 12288GB Storage | Michigan | $1.99/GPU/hr | Available | ||
 Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.08/GPU/hr $24.64/hr total (8×) | |||
 Crusoe | AMD Instinct MI300X 192GB VRAM | 192GB | 0 vCPU 0GB RAM | United States | $3.45/GPU/hr | |||
Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.47/GPU/hr $27.76/hr total (8×) |
When to Choose the A100 SXM4 40GB
Opt for the A100 SXM4 40GB in legacy NVIDIA-centric environments. NVLink and PCIe 4.0 interconnects integrate seamlessly with existing clusters, unlike MI300X's Infinity Fabric and PCIe 5.0. Lower 400W TDP fits power-limited setups.
Mature CUDA ecosystem ensures compatibility for fine-tuning or inference on established pipelines, where 312 TFLOPS FP16 suffices without retraining overhead.
When to Choose the MI300X
Select the MI300X for cutting-edge AI scale. 192 GB HBM3 VRAM handles full-parameter loading of 70B+ LLMs, avoiding A100's 40 GB limitations. 1307 TFLOPS FP16 cuts training epochs significantly.
Superior 5300 GB/s bandwidth enables massive batches in inference, with FP8 at 2614 TFLOPS boosting quantized deployments.
Use Cases
MI300X's 1307 TFLOPS FP16 and 192 GB VRAM enable faster training of massive models compared to A100's 312 TFLOPS and 40 GB. Bandwidth of 5300 GB/s supports larger batches.
FP8 performance at 2614 TFLOPS on MI300X optimizes quantized inference, with 192 GB VRAM fitting larger models than A100's 40 GB. Higher throughput reduces latency.
A100's 312 TFLOPS FP16 handles most fine-tuning efficiently via CUDA maturity. MI300X excels for parameter-heavy models with 1307 TFLOPS.
MI300X's 5300 GB/s bandwidth and 192 GB VRAM manage high-resolution generations better than A100's 2039 GB/s and 40 GB.
163 TFLOPS FP32 on MI300X outperforms A100's 19.5 TFLOPS for simulations. Vast VRAM aids complex datasets.
Frequently Asked Questions
Which GPU has more VRAM: A100 SXM4 40GB or MI300X?▾
The MI300X offers 192 GB HBM3 VRAM, far exceeding the A100 SXM4 40GB's 40 GB HBM2e. This enables loading larger models without partitioning. A100 suits smaller workloads.
How does MI300X FP16 performance compare to A100?▾
MI300X delivers 1307 TFLOPS FP16, over 4 times the A100's 312 TFLOPS. This accelerates AI training significantly. Inference also benefits from the gap.
What are the cloud pricing differences?▾
A100 SXM4 40GB starts at $1.00 per hour, averaging $2.63 across 5 offers. MI300X begins at $0.50 per hour, averaging $2.63 across 9 offers. MI300X provides better entry pricing.
Which has higher memory bandwidth?▾
MI300X achieves 5300 GB/s with HBM3, more than double the A100's 2039 GB/s HBM2e. This reduces bottlenecks in data-intensive tasks. Larger batches become feasible.
A100 vs MI300X power consumption?▾
A100 TDP is 400W, lower than MI300X's 750W. A100 fits constrained power budgets better. MI300X justifies higher draw with superior performance.
Best for LLM inference?▾
MI300X excels with 2614 TFLOPS FP8 and 192 GB VRAM for quantized large models. A100's 312 TFLOPS FP16 limits scale at 40 GB. Choose MI300X for high throughput.
Which is cheaper to rent, the A100 or the MI300X?▾
Cloud rental prices for both the A100 and MI300X 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 MI300X?▾
The A100 has 40 to 80 GB of HBM2e memory. The MI300X has 192 GB of HBM3 memory.
Can I find A100 and MI300X 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 MI300X?▾
The A100 uses the Ampere architecture (2020) while the MI300X uses CDNA 3 (2023). The MI300X delivers 4.2x the FP16 throughput and 2.6x the memory bandwidth of the A100.