Specifications Compared
| Spec | MI300X | RTX-4080 |
|---|---|---|
| TDP | 750W | 320W |
| VRAM | 192 GB | 16 GB |
| Memory Type | HBM3 | GDDR6X |
| Architecture | CDNA 3 | Ada Lovelace |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric, PCIe 5.0 | |
| FP8 Performance | 2,614 TFLOPS | |
| FP16 Performance | 1,307 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 163 TFLOPS | 48.7 TFLOPS |
| FP64 Performance | 81.7 TFLOPS | |
| INT8 Performance | 2,614 TOPS | 780 TOPS |
| Memory Bandwidth | 5,300 GB/s | 717 GB/s |
Performance Analysis
MI300X dominates in raw compute: its FP16 throughput hits 1307 TFLOPS and FP8 reaches 2614 TFLOPS, far exceeding RTX 4080's 48.7 TFLOPS in both FP16 and FP32. This gap favors MI300X for AI training and inference, where half-precision formats accelerate matrix operations essential for deep learning models. RTX 4080 maintains parity in FP16 and FP32 at 48.7 TFLOPS each, suiting graphics and general-purpose tasks but limiting scalability for large neural networks.
Memory specs highlight key trade-offs: MI300X's 192 GB HBM3 and 5300 GB/s bandwidth support massive batch sizes in training, reducing data loading bottlenecks compared to RTX 4080's 16 GB GDDR6X and 717 GB/s. Higher bandwidth on MI300X enables processing datasets that exceed RTX 4080's capacity, critical for LLMs with billions of parameters. Power draw reflects this: MI300X at 750W TDP demands robust cooling, while RTX 4080's 320W fits standard setups.
Interconnects differ as well: MI300X uses Infinity Fabric and PCIe 5.0 for multi-GPU scaling, absent in RTX 4080's PCIe form factor. These factors translate to real-world efficiency, where MI300X handles enterprise-scale inference with larger contexts, and RTX 4080 suffices for prototyping.
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×) |
RTX 4080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the MI300X
MI300X proves superior for large-scale AI workloads: its 192 GB HBM3 VRAM accommodates full-parameter training of models exceeding 100 billion parameters, impossible on RTX 4080's 16 GB. Users in research or production deploying LLMs benefit from 1307 TFLOPS FP16 and 5300 GB/s bandwidth, enabling high batch sizes and faster iterations.
Datacenter environments favor MI300X's OAM form factor and Infinity Fabric for clustering, ideal when scaling across nodes at $0.50/hr starting price.
When to Choose the RTX 4080
RTX 4080 fits budget-conscious or entry-level tasks: its $0.11/hr starting price and 0.28/hr average make it accessible for experimentation, far below MI300X's $2.63/hr average. With 48.7 TFLOPS FP32 and 320W TDP, it handles fine-tuning small models or Stable Diffusion without overprovisioning.
Solo developers or gaming-integrated compute prefer RTX 4080's PCIe compatibility and lower power needs, avoiding MI300X's 750W demands.
Use Cases
MI300X's 192 GB HBM3 VRAM and 1307 TFLOPS FP16 support full fine-tuning of massive LLMs, unlike RTX 4080's 16 GB limit. Bandwidth of 5300 GB/s handles large batches efficiently.
MI300X enables high-throughput inference with 2614 TFLOPS FP8 and vast memory for long contexts. RTX 4080 struggles beyond small models due to 717 GB/s bandwidth.
192 GB VRAM on MI300X fits parameter-efficient methods on large models; 163 TFLOPS FP32 aids mixed-precision tuning. RTX 4080's 16 GB restricts dataset sizes.
RTX 4080's 48.7 TFLOPS FP32 and Ada Lovelace optimizations accelerate image generation at low cost of $0.11/hr. MI300X overkill for typical 512x512 resolutions.
MI300X's 5300 GB/s bandwidth and PCIe 5.0 suit simulations with large arrays; 750W TDP supports sustained HPC loads. RTX 4080 adequate only for modest scales.
Frequently Asked Questions
How much more VRAM does MI300X have than RTX 4080?▾
MI300X provides 192 GB HBM3, which is 12 times the 16 GB GDDR6X on RTX 4080. This enables handling much larger models in AI tasks. Bandwidth follows suit at 5300 GB/s versus 717 GB/s.
What is the FP16 performance difference between MI300X and RTX 4080?▾
MI300X delivers 1307 TFLOPS FP16, over 26 times the RTX 4080's 48.7 TFLOPS. This boosts AI training speed significantly. FP8 on MI300X reaches 2614 TFLOPS for inference.
Which GPU is cheaper in the cloud?▾
RTX 4080 starts at $0.11/hr with $0.28/hr average across 8 offers, versus MI300X at $0.50/hr and $2.63/hr average over 9 offers. RTX 4080 suits low-budget runs.
Can RTX 4080 handle LLM training?▾
RTX 4080's 16 GB VRAM limits it to small LLMs or LoRA methods, unlike MI300X's 192 GB for full training. Its 48.7 TFLOPS FP16 pales against 1307 TFLOPS.
What are the power requirements?▾
MI300X draws 750W TDP, requiring datacenter power, while RTX 4080 uses 320W for easier deployment. This affects cloud instance costs indirectly.
Is MI300X better for multi-GPU setups?▾
MI300X supports Infinity Fabric and PCIe 5.0 for scaling, unlike RTX 4080's basic PCIe. This excels in clustered training with 192 GB per GPU.
Which is cheaper to rent, the MI300X or the RTX 4080?▾
Cloud rental prices for both the MI300X 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 MI300X have compared to the RTX 4080?▾
The MI300X has 192 GB of HBM3 memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find MI300X 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 MI300X and the RTX 4080?▾
The MI300X uses the CDNA 3 architecture (2023) while the RTX 4080 uses Ada Lovelace (2022). The MI300X delivers 26.8x the FP16 throughput and 7.4x the memory bandwidth of the RTX 4080.