MI355X vs RTX 4080 SUPER

CDNA 4vsAda LovelaceUpdated 35 days ago

MI355X emerges as the winner for primary AI training and inference use cases, boasting 2300 TFLOPS FP16 and 288 GB VRAM to handle scales unattainable by RTX 4080 SUPER's 48.7 TFLOPS and 16 GB. Superior bandwidth at 8000 GB/s cements its lead, though no live offers limit immediate access.

RTX 4080 SUPER from $0.50/hr

Specifications Compared

SpecMI355XRTX-4080
TDP750W320W
VRAM288 GB16 GB
Memory TypeHBM3eGDDR6X
ArchitectureCDNA 4Ada Lovelace
Form FactorsOAMPCIe
InterconnectInfinity Fabric
FP8 Performance4,600 TFLOPS
FP16 Performance2,300 TFLOPS48.7 TFLOPS
FP32 Performance2300 TFLOPS48.7 TFLOPS
FP64 Performance72 TFLOPS
INT8 Performance4,600 TOPS780 TOPS
Memory Bandwidth8,000 GB/s717 GB/s

Performance Analysis

MI355X dominates compute: 2300 TFLOPS FP16/FP32 delivers approximately 47 times the throughput of RTX 4080 SUPER's 48.7 TFLOPS, accelerating deep learning training where FP16 predominates. Equal FP16/FP32 rates on MI355X optimize mixed-precision workflows, while RTX 4080 SUPER matches them for balanced consumer tasks.

Memory specs reshape real-world use: 288 GB HBM3e on MI355X supports enormous batch sizes for training models over 100B parameters, avoiding out-of-memory errors common on RTX 4080 SUPER's 16 GB. Bandwidth gap proves critical: 8000 GB/s versus 717 GB/s enables MI355X to process data 11 times faster, minimizing stalls in inference pipelines and large-scale simulations.

FP8 capability at 4600 TFLOPS positions MI355X for cutting-edge inference quantization, unavailable on RTX 4080 SUPER.

Live Cloud Pricing

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

RTX 4080 SUPER

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
RunPod
RunPod
NVIDIA GeForce RTX 4080 SUPER
16GB VRAM
$0.50/GPU/hr
RunPod
RunPod
NVIDIA GeForce RTX 4080
16GB VRAM
$0.50/GPU/hr

Compare real-time pricing across 25+ providers

When to Choose the MI355X

Datacenter operators select MI355X for LLM training and inference requiring over 288 GB VRAM total capacity across nodes. Infinity Fabric interconnect scales multi-GPU clusters efficiently at 2300 TFLOPS FP16, outperforming PCIe-limited setups.

When to Choose the RTX 4080 SUPER

Developers prototyping models under 16 GB VRAM choose RTX 4080 SUPER for cloud pricing from $0.17/hr average $0.32/hr. 320W TDP enables dense multi-GPU configurations in power-constrained clouds, suiting fine-tuning or gaming workloads.

Use Cases

LLM Training
MI355X

MI355X 288 GB HBM3e VRAM and 2300 TFLOPS FP16 support massive LLMs with large batches. RTX 4080 SUPER 16 GB limits scale severely.

LLM Inference
MI355X

4600 TFLOPS FP8 and 8000 GB/s bandwidth on MI355X enable high-throughput serving. RTX 4080 SUPER lacks FP8 and sufficient memory.

Fine-tuning
MI355X

2300 TFLOPS FP32 on MI355X speeds parameter-efficient tuning of large models. 288 GB capacity avoids fragmentation issues.

Stable Diffusion
RTX 4080 SUPER

RTX 4080 SUPER 48.7 TFLOPS FP16 handles image generation at $0.17/hr. MI355X 750W TDP overprovisions for consumer-scale diffusion.

Scientific Computing
MI355X

MI355X 2300 TFLOPS FP32 and 8000 GB/s bandwidth excel in simulations. RTX 4080 SUPER 717 GB/s bottlenecks complex datasets.

Frequently Asked Questions

Which has more VRAM: MI355X or RTX 4080 SUPER?

MI355X features 288 GB HBM3e VRAM. RTX 4080 SUPER provides 16 GB GDDR6X. This 18x difference allows MI355X to load vastly larger models.

How do FP16 performances compare between MI355X and RTX 4080 SUPER?

MI355X achieves 2300 TFLOPS FP16. RTX 4080 SUPER reaches 48.7 TFLOPS FP16. MI355X offers about 47x higher throughput for AI tasks.

What is the memory bandwidth difference?

MI355X delivers 8000 GB/s with HBM3e. RTX 4080 SUPER has 717 GB/s GDDR6X. MI355X processes data over 11 times faster.

Is RTX 4080 SUPER cheaper in the cloud?

RTX 4080 SUPER starts at $0.17/hr average $0.32/hr across offers. MI355X has no live pricing currently. Cost favors RTX 4080 SUPER for accessible compute.

Which GPU has lower power consumption?

RTX 4080 SUPER uses 320W TDP. MI355X requires 750W. Lower TDP suits RTX 4080 SUPER for efficient multi-GPU or edge use.

Does MI355X support FP8?

MI355X provides 4600 TFLOPS FP8 for quantized inference. RTX 4080 SUPER lacks specified FP8 performance. This boosts MI355X in low-precision serving.

Which is cheaper to rent, the MI355X or the RTX 4080?

Cloud rental prices for both the MI355X and RTX 4080 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 MI355X have compared to the RTX 4080?

The MI355X has 288 GB of HBM3e memory. The RTX 4080 has 16 GB of GDDR6X memory.

Can I find MI355X and RTX 4080 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 MI355X and the RTX 4080?

The MI355X uses the CDNA 4 architecture (2025) while the RTX 4080 uses Ada Lovelace (2022). The MI355X delivers 47.2x the FP16 throughput and 11.2x the memory bandwidth of the RTX 4080.

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