Specifications Compared
| Spec | MI325X | RTX-3090 |
|---|---|---|
| TDP | 750W | 350W |
| VRAM | 256 GB | 24 GB |
| Memory Type | HBM3e | GDDR6X |
| Architecture | CDNA 3 | Ampere |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | NVLink |
| FP8 Performance | 2,614 TFLOPS | |
| FP16 Performance | 1,307 TFLOPS | 35.6 TFLOPS |
| FP32 Performance | 1307 TFLOPS | 35.6 TFLOPS |
| FP64 Performance | 40.9 TFLOPS | |
| INT8 Performance | 2,614 TOPS | |
| Memory Bandwidth | 6,000 GB/s | 936 GB/s |
Performance Analysis
MI325X's 256 GB HBM3e VRAM enables handling of massive models that exceed the RTX 3090's 24 GB GDDR6X limit: large language models with billions of parameters fit entirely on the MI325X, reducing multi-GPU complexity. The 6000 GB/s bandwidth supports enormous batch sizes during training, minimizing data loading bottlenecks compared to the RTX 3090's 936 GB/s.
Compute performance shows MI325X at 1307 TFLOPS for FP16 and FP32, approximately 37 times the RTX 3090's 35.6 TFLOPS: this translates to faster model training epochs and inference queries in deep learning pipelines. FP8 capability at 2614 TFLOPS on MI325X accelerates quantized inference, a feature unavailable on RTX 3090.
Power demands reflect priorities: MI325X's 750W TDP suits dense data center cooling, while RTX 3090's 350W fits consumer setups. Infinity Fabric interconnect on MI325X enhances multi-GPU scaling over NVLink on RTX 3090, benefiting distributed training.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Wilmington, Delaware | $0.20/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Dallas, Texas | $0.21/GPU/hr | Available | ||
 Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 403GB RAM 104GB Storage | Iceland | $0.25/GPU/hr $1.01/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 252GB RAM 1440GB Storage | Finland | $0.27/GPU/hr $1.07/hr total (4×) | Available | ||
 LeaderGPU | 8×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.29/GPU/hr $2.29/hr total (8×) | Available |
When to Choose the MI325X
Choose the MI325X for large-scale AI training and inference: 256 GB VRAM accommodates models over 100 billion parameters without sharding, and 6000 GB/s bandwidth sustains high throughput. Its 1307 TFLOPS FP16 performance cuts training times dramatically versus alternatives.
Datacenter deployments favor MI325X's OAM form factor and Infinity Fabric for seamless scaling in racks handling scientific simulations or hyperscale inference.
When to Choose the RTX 3090
Opt for the RTX 3090 in cost-sensitive prototyping: cloud pricing from $0.08 per hour across 51 offers makes it accessible for small teams. Its 24 GB VRAM suffices for models under 20 billion parameters, with 35.6 TFLOPS FP32 enabling quick iterations.
PCIe compatibility and 350W TDP suit versatile cloud instances for gaming, content creation, or fine-tuning alongside general compute.
Use Cases
MI325X's 256 GB VRAM holds massive models intact, while 1307 TFLOPS FP16 accelerates epochs 37 times faster than RTX 3090's 35.6 TFLOPS.
6000 GB/s bandwidth on MI325X supports high-query volumes with large batches; FP8 at 2614 TFLOPS optimizes quantized serving beyond RTX 3090 capabilities.
RTX 3090's 24 GB VRAM handles most fine-tuning at $0.08 per hour; MI325X excels for parameter-heavy adapters needing 256 GB.
RTX 3090's 24 GB GDDR6X and PCIe form factor suit image generation workflows affordably; 35.6 TFLOPS FP16 meets typical demands.
MI325X's 1307 TFLOPS FP32 and Infinity Fabric enable large simulations; 6000 GB/s bandwidth processes datasets far beyond RTX 3090's 936 GB/s.
Frequently Asked Questions
Which has more VRAM, MI325X or RTX 3090?▾
MI325X provides 256 GB HBM3e VRAM, over 10 times the RTX 3090's 24 GB GDDR6X. This allows MI325X to load enormous AI models without splitting across GPUs.
How does MI325X compare to RTX 3090 in FP16 performance?▾
MI325X achieves 1307 TFLOPS FP16, about 37 times the RTX 3090's 35.6 TFLOPS. Training and inference run dramatically faster on MI325X.
What is the memory bandwidth difference?▾
MI325X offers 6000 GB/s, over six times the RTX 3090's 936 GB/s. Higher bandwidth on MI325X supports larger batch sizes in deep learning.
RTX 3090 cloud pricing versus MI325X?▾
RTX 3090 starts at $0.08 per hour, averaging $0.41 across 51 offers; MI325X has no live offers currently. RTX 3090 provides immediate budget access.
Power consumption of MI325X vs RTX 3090?▾
MI325X draws 750W TDP, more than double the RTX 3090's 350W. MI325X demands robust data center power infrastructure.
Best GPU for large model training?▾
MI325X excels with 256 GB VRAM and 1307 TFLOPS FP32. RTX 3090's 24 GB limits it to smaller models.
Which is cheaper to rent, the MI325X or the RTX 3090?▾
Cloud rental prices for both the MI325X and RTX 3090 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 3090?▾
The MI325X has 256 GB of HBM3e memory. The RTX 3090 has 24 GB of GDDR6X memory.
Can I find MI325X and RTX 3090 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 3090?▾
The MI325X uses the CDNA 3 architecture (2024) while the RTX 3090 uses Ampere (2020). The MI325X delivers 36.7x the FP16 throughput and 6.4x the memory bandwidth of the RTX 3090.