MI325X vs P100

CDNA 3vsPascalUpdated 35 days ago

The MI325X emerges as the superior choice for prevalent AI workloads such as LLM training and inference, owing to its 140-fold FP16/FP32 advantage at 1307 TFLOPS and 256 GB VRAM capacity that handles modern model scales unattainable by the P100.

P100 from $0.60/hr

Specifications Compared

SpecMI325XP100
TDP750W250W
VRAM256 GB16 GB
Memory TypeHBM3eHBM2
ArchitectureCDNA 3Pascal
Form FactorsOAMSXM2, PCIe
InterconnectInfinity FabricNVLink
FP8 Performance2,614 TFLOPS
FP16 Performance1,307 TFLOPS9.3 TFLOPS
FP32 Performance1307 TFLOPS9.3 TFLOPS
FP64 Performance40.9 TFLOPS4.7 TFLOPS
INT8 Performance2,614 TOPS
Memory Bandwidth6,000 GB/s732 GB/s

Performance Analysis

Compute capabilities define the core performance gap: the MI325X delivers 1307 TFLOPS in FP16 and FP32, enabling 140 times the throughput of the P100's 9.3 TFLOPS. Equal FP16 and FP32 rates on both GPUs imply balanced acceleration for training, where FP32 dominates, and inference, often leveraging FP16. Real-world training of deep neural networks thus scales dramatically on the MI325X, reducing epochs from days to hours.

Memory specifications profoundly impact workload feasibility: 256 GB HBM3e on the MI325X supports massive batch sizes for models exceeding 16 GB, the P100's limit. The 6000 GB/s bandwidth versus 732 GB/s minimizes data starvation, boosting effective utilization in memory-bound tasks like transformer processing. Larger batches on the MI325X enhance training stability and throughput.

Power demands differ markedly, with the MI325X at 750W TDP requiring advanced cooling, compared to the P100's 250W for efficient deployments. Interconnects like Infinity Fabric and NVLink further optimize multi-GPU scaling, though the MI325X's superior specs yield higher aggregate performance.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

P100

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
LeaderGPU
LeaderGPU
2×NVIDIA Tesla P100
16GB VRAM
$0.60/GPU/hr
$1.20/hr total (2×)
Available

Compare real-time pricing across 25+ providers

When to Choose the MI325X

Opt for the MI325X in high-memory AI training scenarios: its 256 GB HBM3e accommodates large language models with billions of parameters, impossible on the P100's 16 GB HBM2. The 2614 TFLOPS FP8 rate accelerates quantized inference for production-scale deployments.

Scientific simulations demanding 6000 GB/s bandwidth also favor the MI325X, enabling complex datasets without bottlenecks.

When to Choose the P100

The P100 fits budget-limited projects or legacy Pascal-optimized software, priced from $0.07 per hour with an average of $0.25 per hour. Its 250W TDP suits power-constrained environments like small-scale clusters.

Small-model inference or prototyping benefits from NVLink interconnect and SXM2/PCIe form factors, avoiding the MI325X's absence of live offers.

Use Cases

LLM Training
MI325X

The MI325X's 256 GB HBM3e VRAM supports massive models, while 1307 TFLOPS FP32 exceeds the P100's 9.3 TFLOPS by 140 times for faster convergence.

LLM Inference
MI325X

2614 TFLOPS FP8 on the MI325X accelerates quantized serving; 6000 GB/s bandwidth handles high-throughput requests unlike the P100's 732 GB/s.

Fine-tuning
MI325X

1307 TFLOPS FP16 enables efficient parameter updates on large datasets; 256 GB VRAM prevents out-of-memory errors common on the P100's 16 GB.

Stable Diffusion
MI325X

High memory bandwidth of 6000 GB/s sustains large batch generations; superior FP16 performance at 1307 TFLOPS outperforms the P100's 9.3 TFLOPS.

Scientific Computing
P100

The P100's 250W TDP and $0.07 per hour pricing suit low-memory simulations; NVLink supports multi-GPU setups for modest compute needs.

Frequently Asked Questions

What is the VRAM difference between MI325X and P100?

The MI325X features 256 GB HBM3e VRAM, compared to the P100's 16 GB HBM2. This 16-fold increase allows the MI325X to load much larger models without swapping.

How do FP16 performances compare?

MI325X achieves 1307 TFLOPS in FP16, while P100 reaches 9.3 TFLOPS. The MI325X provides approximately 140 times the half-precision compute for AI tasks.

What are the memory bandwidth specs?

MI325X offers 6000 GB/s bandwidth with HBM3e, versus P100's 732 GB/s on HBM2. This gap enhances data transfer for memory-intensive workloads on the MI325X.

Which GPU has lower power consumption?

The P100 consumes 250W TDP, half of the MI325X's 750W. Lower power makes P100 suitable for constrained data centers.

Is the P100 available for cloud rental?

P100 listings start at $0.07 per hour, averaging $0.25 per hour across three offers. MI325X currently has no live cloud availability.

What architectures do they use?

MI325X runs on AMD CDNA 3 from 2024; P100 uses NVIDIA Pascal from 2016. The eight-year gap reflects vast advancements in the MI325X specs.

Which is cheaper to rent, the MI325X or the P100?

Cloud rental prices for both the MI325X 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 MI325X have compared to the P100?

The MI325X has 256 GB of HBM3e memory. The P100 has 16 GB of HBM2 memory.

Can I find MI325X 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 MI325X and the P100?

The MI325X uses the CDNA 3 architecture (2024) while the P100 uses Pascal (2016). The MI325X delivers 140.5x the FP16 throughput and 8.2x the memory bandwidth of the P100.