Specifications Compared
| Spec | MI300X | RTX-5880-ADA |
|---|---|---|
| TDP | 750W | 285W |
| VRAM | 192 GB | 48 GB |
| Memory Type | HBM3 | GDDR6 |
| 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 | 69.7 TFLOPS |
| FP32 Performance | 163 TFLOPS | 69.7 TFLOPS |
| FP64 Performance | 81.7 TFLOPS | |
| INT8 Performance | 2,614 TOPS | 1,115 TOPS |
| Memory Bandwidth | 5,300 GB/s | 960 GB/s |
Performance Analysis
Memory capacity defines workload feasibility between these GPUs: the MI300X's 192 GB HBM3 VRAM handles models up to four times larger than the RTX 5880 Ada's 48 GB GDDR6 limit. Bandwidth amplifies this gap at 5300 GB/s versus 960 GB/s, enabling MI300X to process larger batch sizes without bottlenecks in data loading. FP16 performance on MI300X hits 1307 TFLOPS for inference and training acceleration, while FP32 lags at 163 TFLOPS; this suits AI tasks favoring lower precision. The RTX 5880 Ada balances FP16 and FP32 at 69.7 TFLOPS each, benefiting graphics rendering or simulations requiring full precision. Power draw underscores deployment differences: MI300X demands 750W TDP for peak output, contrasting RTX 5880 Ada's efficient 285W. In training, MI300X scales to enterprise clusters via Infinity Fabric and PCIe 5.0; RTX 5880 Ada fits single-node PCIe workstations.
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×) |
When to Choose the MI300X
The MI300X excels in large-scale AI training and inference: its 192 GB VRAM accommodates billion-parameter LLMs that exceed 48 GB limits. Cloud pricing from $0.50 per hour across nine offers enables cost-effective scaling for research teams. High 5300 GB/s bandwidth and 1307 TFLOPS FP16 support massive batches in data centers.
When to Choose the RTX 5880 Ada
The RTX 5880 Ada suits workstation-based development: 285W TDP fits standard power supplies, unlike 750W MI300X requirements. Balanced 69.7 TFLOPS FP16 and FP32 performance aids visualization or fine-tuning smaller models on-premises. PCIe form factor simplifies local integration without cloud dependency.
Use Cases
MI300X's 192 GB HBM3 VRAM supports massive models beyond RTX 5880 Ada's 48 GB capacity. 1307 TFLOPS FP16 accelerates training throughput significantly.
High 2614 TFLOPS FP8 and 5300 GB/s bandwidth on MI300X enable low-latency serving of large models. RTX 5880 Ada's 69.7 TFLOPS limits scale.
RTX 5880 Ada's 48 GB VRAM suffices for models under 40 GB with 69.7 TFLOPS balance. MI300X overkill unless datasets demand 192 GB.
RTX 5880 Ada's Ada Lovelace architecture and 69.7 TFLOPS FP32 optimize image generation pipelines. Lower 285W TDP fits creative workstations.
MI300X's 163 TFLOPS FP32 and PCIe 5.0 interconnect scale simulations across nodes. 192 GB VRAM handles complex datasets.
Frequently Asked Questions
What is the VRAM difference between MI300X and RTX 5880 Ada?▾
MI300X provides 192 GB HBM3 VRAM, compared to RTX 5880 Ada's 48 GB GDDR6. This fourfold capacity gap allows MI300X to load larger AI models without swapping. Bandwidth follows at 5300 GB/s versus 960 GB/s.
How do FP16 performances compare?▾
MI300X achieves 1307 TFLOPS FP16, dwarfing RTX 5880 Ada's 69.7 TFLOPS. This boosts AI inference speed by nearly 19 times in FP16 tasks. FP8 on MI300X reaches 2614 TFLOPS for further optimization.
What are the power requirements?▾
MI300X requires 750W TDP for data center deployment. RTX 5880 Ada uses 285W, suiting workstations. Efficiency favors RTX for edge cases.
Is MI300X available in the cloud?▾
MI300X offers start at $0.50 per hour, averaging $2.63 across nine providers. RTX 5880 Ada has no live cloud listings. This makes MI300X ideal for rentable scale.
Which has better memory bandwidth?▾
MI300X delivers 5300 GB/s with HBM3, over five times RTX 5880 Ada's 960 GB/s GDDR6. Higher bandwidth reduces bottlenecks in large-batch training. It supports bigger effective batch sizes.
What architectures power these GPUs?▾
MI300X uses CDNA 3 from 2023 for compute focus. RTX 5880 Ada employs Ada Lovelace from 2024 for versatility. Interconnects differ: Infinity Fabric and PCIe 5.0 on MI300X.
Which is cheaper to rent, the MI300X or the RTX 5880 Ada?▾
Cloud rental prices for both the MI300X and RTX 5880 Ada 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 5880 Ada?▾
The MI300X has 192 GB of HBM3 memory. The RTX 5880 Ada has 48 GB of GDDR6 memory.
Can I find MI300X and RTX 5880 Ada 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 5880 Ada?▾
The MI300X uses the CDNA 3 architecture (2023) while the RTX 5880 Ada uses Ada Lovelace (2024). The MI300X delivers 18.8x the FP16 throughput and 5.5x the memory bandwidth of the RTX 5880 Ada.