MI325X vs RTX 5080

CDNA 3vsBlackwellUpdated 35 days ago

MI325X emerges as the winner for dominant AI training use cases: its 1307 TFLOPS FP16 dwarfs RTX 5080's 56.3 TFLOPS, while 256 GB VRAM and 6000 GB/s bandwidth enable scalable batches for LLMs exceeding 70B parameters. Availability concerns aside, raw specs favor datacenter dominance.

RTX 5080 from $0.59/hr

Specifications Compared

SpecMI325XRTX-5080
TDP750W360W
VRAM256 GB16 GB
Memory TypeHBM3eGDDR7
ArchitectureCDNA 3Blackwell
Form FactorsOAMPCIe
InterconnectInfinity Fabric
FP8 Performance2,614 TFLOPS
FP16 Performance1,307 TFLOPS56.3 TFLOPS
FP32 Performance1307 TFLOPS56.3 TFLOPS
FP64 Performance40.9 TFLOPS
INT8 Performance2,614 TOPS900 TOPS
Memory Bandwidth6,000 GB/s960 GB/s

Performance Analysis

MI325X provides exceptional FP16 and FP32 throughput at 1307 TFLOPS each: this parity accelerates mixed-precision training and inference for large language models without sacrificing accuracy. RTX 5080 matches FP16 and FP32 at 56.3 TFLOPS, but its lower figures constrain workloads to smaller scales where full model loading fits within 16 GB VRAM.

Memory capacity defines key limits: MI325X's 256 GB HBM3e enables batch sizes for models over 100 billion parameters, avoiding multi-GPU sharding. RTX 5080's 16 GB GDDR7 restricts batches, increasing iteration times. Bandwidth amplifies this: 6000 GB/s on MI325X moves data 6.25 times faster than 960 GB/s on RTX 5080, minimizing stalls in memory-bound tasks like inference serving.

Power efficiency varies with scale: MI325X's 750W TDP yields 1.74 TFLOPS per watt in FP16, while RTX 5080 achieves 0.156 TFLOPS per watt at 360W. Datacenter users prioritize MI325X for throughput, whereas edge deployments favor RTX 5080's lower draw.

Live Cloud Pricing

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

RTX 5080

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
RunPod
RunPod
NVIDIA GeForce RTX 5080
16GB VRAM
$0.59/GPU/hr

Compare real-time pricing across 25+ providers

When to Choose the MI325X

MI325X stands out for large-scale AI training and inference: its 256 GB HBM3e VRAM accommodates full models up to 1 trillion parameters, and 6000 GB/s bandwidth supports massive batch sizes without latency spikes. Enterprises deploying via Infinity Fabric in OAM racks select it for 1307 TFLOPS FP16 performance in production pipelines.

When to Choose the RTX 5080

RTX 5080 suits cost-conscious developers and hybrid gaming-AI workflows: cloud access starts at $0.25 per hour with 56.3 TFLOPS FP16 in a 360W PCIe package. It handles prototyping, fine-tuning under 10 billion parameters, and Stable Diffusion within 16 GB GDDR7.

Use Cases

LLM Training
MI325X

MI325X's 256 GB VRAM and 1307 TFLOPS FP16 handle massive datasets and models without sharding. RTX 5080's 16 GB limits scale.

LLM Inference
MI325X

6000 GB/s bandwidth on MI325X serves high-throughput queries for large models. RTX 5080 suffices for smaller deployments at lower cost.

Fine-tuning
Either

RTX 5080's $0.25 per hour pricing fits quick iterations on 7B models within 16 GB. MI325X accelerates larger fine-tunes with 1307 TFLOPS.

Stable Diffusion
RTX 5080

RTX 5080's 56.3 TFLOPS FP16 and PCIe form factor optimize image generation pipelines. 16 GB GDDR7 meets typical model needs efficiently.

Scientific Computing
MI325X

MI325X's 1307 TFLOPS FP32 and 256 GB VRAM excel in simulations requiring high precision and memory. RTX 5080 handles lighter workloads.

Frequently Asked Questions

Which GPU has higher FP16 performance?

MI325X achieves 1307 TFLOPS FP16, over 23 times RTX 5080's 56.3 TFLOPS. This gap favors MI325X for intensive AI training. RTX 5080 remains viable for lighter tasks.

How much VRAM does each have?

MI325X features 256 GB HBM3e VRAM, versus 16 GB GDDR7 on RTX 5080. MI325X supports larger models without distribution. RTX 5080 fits consumer-scale applications.

What is the memory bandwidth difference?

MI325X delivers 6000 GB/s, 6.25 times RTX 5080's 960 GB/s. Higher bandwidth reduces bottlenecks in data-heavy workloads. This benefits MI325X in inference serving.

Which has lower power consumption?

RTX 5080 uses 360W TDP, half of MI325X's 750W. Lower TDP suits edge and desktop setups. MI325X prioritizes performance density.

Is RTX 5080 available in the cloud?

RTX 5080 offers from $0.25 per hour, averaging $0.38 across four providers. MI325X has no live cloud offers. This makes RTX 5080 immediately accessible.

Which architecture is newer?

RTX 5080 uses Blackwell from 2025, while MI325X employs CDNA 3 from 2024. Newer architecture brings efficiency gains to RTX 5080. MI325X leads in raw capacity.

Which is cheaper to rent, the MI325X or the RTX 5080?

Cloud rental prices for both the MI325X and RTX 5080 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 RTX 5080?

The MI325X has 256 GB of HBM3e memory. The RTX 5080 has 16 GB of GDDR7 memory.

Can I find MI325X and RTX 5080 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 RTX 5080?

The MI325X uses the CDNA 3 architecture (2024) while the RTX 5080 uses Blackwell (2025). The MI325X delivers 23.2x the FP16 throughput and 6.3x the memory bandwidth of the RTX 5080.