Specifications Compared
| Spec | MI300X | P100 |
|---|---|---|
| TDP | 750W | 250W |
| VRAM | 192 GB | 16 GB |
| Memory Type | HBM3 | HBM2 |
| Architecture | CDNA 3 | Pascal |
| Form Factors | OAM | SXM2, PCIe |
| Interconnect | Infinity Fabric, PCIe 5.0 | NVLink |
| FP8 Performance | 2,614 TFLOPS | |
| FP16 Performance | 1,307 TFLOPS | 9.3 TFLOPS |
| FP32 Performance | 163 TFLOPS | 9.3 TFLOPS |
| FP64 Performance | 81.7 TFLOPS | 4.7 TFLOPS |
| INT8 Performance | 2,614 TOPS | |
| Memory Bandwidth | 5,300 GB/s | 732 GB/s |
Performance Analysis
MI300X delivers 1307 TFLOPS in FP16, exceeding P100's 9.3 TFLOPS by a factor of 140. This disparity accelerates neural network training, where FP16 precision dominates to speed up matrix multiplications without significant accuracy loss. FP32 performance on MI300X stands at 163 TFLOPS, 17.5 times higher than P100's 9.3 TFLOPS, benefiting simulations and inference requiring single-precision compute.
Memory bandwidth defines handling of large datasets: MI300X's 5300 GB/s supports batch sizes up to 12 times larger than P100's 732 GB/s limit, reducing training iterations and wall-clock time. Higher VRAM on MI300X, 192 GB versus 16 GB, prevents out-of-memory errors in modern large language models. Power draw differs at 750W for MI300X and 250W for P100, influencing datacenter cooling and cost per TFLOP.
FP8 capability on MI300X reaches 2614 TFLOPS, absent on P100, enabling ultra-efficient inference for quantized models.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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×) |
P100
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 2×NVIDIA Tesla P100 16GB VRAM | 16GB | 0 vCPU 256GB RAM 960GB Storage | Netherlands | $0.60/GPU/hr $1.20/hr total (2×) | Available |
When to Choose the MI300X
Select the MI300X for large-scale AI training and inference where memory exceeds 16 GB. Its 192 GB HBM3 VRAM accommodates models like those with billions of parameters, and 5300 GB/s bandwidth sustains high throughput. At $0.50 per hour starting price, it suits enterprises prioritizing speed over initial cost for FP16 tasks at 1307 TFLOPS.
When to Choose the P100
Opt for the P100 in budget-limited environments running legacy Pascal-optimized code. Its 16 GB HBM2 suffices for small models or fine-tuning under 9.3 TFLOPS FP32, with low pricing from $0.07 per hour. Lower 250W TDP reduces operational costs in small clusters.
Use Cases
MI300X's 192 GB VRAM and 1307 TFLOPS FP16 handle massive datasets and models infeasible on P100's 16 GB.
2614 TFLOPS FP8 on MI300X accelerates quantized inference; 5300 GB/s bandwidth supports high concurrency absent on P100.
163 TFLOPS FP32 and 192 GB VRAM enable efficient fine-tuning of large models, far beyond P100's 9.3 TFLOPS and 16 GB.
High memory bandwidth of 5300 GB/s and 1307 TFLOPS FP16 speed up image generation pipelines on MI300X.
P100's 9.3 TFLOPS FP32 fits legacy simulations at $0.07 per hour; MI300X's 163 TFLOPS excels in memory-intensive tasks.
Frequently Asked Questions
Which GPU has more VRAM: MI300X or P100?▾
MI300X provides 192 GB HBM3 VRAM, 12 times more than P100's 16 GB HBM2. This enables larger models on MI300X. Bandwidth reaches 5300 GB/s on MI300X versus 732 GB/s on P100.
How does MI300X FP16 performance compare to P100?▾
MI300X achieves 1307 TFLOPS FP16, over 140 times higher than P100's 9.3 TFLOPS. This boosts training speed significantly. FP32 on MI300X is 163 TFLOPS versus 9.3 TFLOPS.
What is the price difference between MI300X and P100?▾
MI300X starts at $0.50 per hour with $2.63 average across 9 offers; P100 at $0.07 per hour with $0.25 average across 3. P100 suits low budgets. MI300X targets high-performance needs.
Is MI300X more power-hungry than P100?▾
MI300X has 750W TDP compared to P100's 250W. This reflects higher compute density. Cooling requirements increase with MI300X.
Can P100 run modern AI workloads?▾
P100's 16 GB VRAM limits it to small models under 9.3 TFLOPS. MI300X's 192 GB handles current demands. Legacy Pascal code favors P100.
What interconnects do these GPUs use?▾
MI300X employs Infinity Fabric and PCIe 5.0; P100 uses NVLink. MI300X supports modern scaling. Form factors are OAM for MI300X and SXM2/PCIe for P100.
Which is cheaper to rent, the MI300X or the P100?▾
Cloud rental prices for both the MI300X and P100 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 MI300X have compared to the P100?▾
The MI300X has 192 GB of HBM3 memory. The P100 has 16 GB of HBM2 memory.
Can I find MI300X and P100 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 MI300X and the P100?▾
The MI300X uses the CDNA 3 architecture (2023) while the P100 uses Pascal (2016). The MI300X delivers 140.5x the FP16 throughput and 7.2x the memory bandwidth of the P100.