NVIDIA B100 VS AMD Instinct MI325X
Choosing between **B100** and **Instinct MI325X** depends on your specific AI workload requirements. The **Instinct MI325X** leads in both memory capacity and raw compute power, making it a stronger choice for high-end LLM training. Currently, you can rent these GPUs starting from **$0.00/h** and **$1.69/h** respectively across 3 providers.
Instinct MI325X
📊 Detailed Specifications Comparison
| Specification | B100 | Instinct MI325X | Difference |
|---|---|---|---|
| Architecture & Design | |||
| Architecture | Blackwell | CDNA 3 | - |
| Process Node | 4nm | 5nm | - |
| Target Market | datacenter | datacenter | - |
| Form Factor | SXM | OAM | - |
| Memory & Bandwidth | |||
| VRAM Capacity | 192GB | 256GB | -25% |
| Memory Type | HBM3e | HBM3e | - |
| Memory Bandwidth | 8.0 TB/s | 6.0 TB/s | +33% |
| Memory Bus Width | 8192-bit | 8192-bit | - |
| Compute Infrastructure | |||
| CUDA Cores | 14,336 | N/A | |
| Tensor Cores (AI) | 448 | N/A | |
| Stream Processors | N/A | 19,456 | |
| AI & Compute Performance (TFLOPS) | |||
| FP32 (Single Precision) | 70 TFLOPS | 163 TFLOPS | -57% |
| FP16 (Half Precision) | 3,500 TFLOPS | 2,600 TFLOPS | +35% |
| TF32 (Tensor Float) | 1,750 TFLOPS | N/A | |
| FP64 (Double Precision) | 35 TFLOPS | N/A | |
| INT8 (Integer Precision) | 7,000 TOPS | N/A | |
| Power & Efficiency | |||
| TDP (Thermal Design Power) | 700W | 750W | -7% |
| PCIe Interface | PCIe 5.0 x16 | PCIe 5.0 x16 | - |
🎯 Use Case Recommendations
LLM & Large Model Training
NVIDIA B100
Higher VRAM capacity and memory bandwidth are critical for training large language models. The Instinct MI325X offers 256GB compared to 192GB.
AI Inference
NVIDIA B100
For inference workloads, performance per watt matters most. Consider the balance between FP16/INT8 throughput and power consumption.
Budget-Conscious Choice
AMD Instinct MI325X
Compare live pricing to find the best value for your specific workload.
Technical Deep Dive: B100 vs Instinct MI325X
This head-to-head pits NVIDIA's Blackwell against AMD's CDNA 3. The Instinct MI325X has a significant **64GB VRAM advantage**, which is crucial for training massive datasets or large language models.
NVIDIA B100 is Best For:
- Large-scale AI training
- Budget deployments
AMD Instinct MI325X is Best For:
- AI training
- Large model inference
- CUDA-only software
Frequently Asked Questions
Which GPU is better for AI training: B100 or Instinct MI325X?
For AI training, the key factors are VRAM size, memory bandwidth, and tensor core performance. The B100 offers 192GB of HBM3e memory with 8.0 TB/s bandwidth, while the Instinct MI325X provides 256GB of HBM3e with 6.0 TB/s bandwidth. For larger models, the Instinct MI325X's higher VRAM capacity gives it an advantage.
What is the price difference between B100 and Instinct MI325X in the cloud?
Cloud GPU rental prices vary by provider and region. Check our price tracker for the latest rates from 50+ cloud providers.
Can I use Instinct MI325X instead of B100 for my workload?
It depends on your specific requirements. If your model fits within 256GB of VRAM and you don't need the additional throughput of the B100, the Instinct MI325X can be a cost-effective alternative. However, for workloads requiring maximum memory capacity or multi-GPU scaling, the B100's architecture may be essential.
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