NVIDIA GB200 NVL72 VS AMD Instinct MI355X
Choosing between **GB200** and **Instinct MI355X** depends on your specific AI workload requirements. While the **GB200** offers more VRAM for larger models, the **Instinct MI355X** remains competitive in other areas. Currently, you can rent these GPUs starting from **$10.50/h** and **$2.29/h** respectively across 5 providers.
Instinct MI355X
📊 Detailed Specifications Comparison
| Specification | GB200 | Instinct MI355X | Difference |
|---|---|---|---|
| Architecture & Design | |||
| Architecture | Blackwell | CDNA 4 | - |
| Process Node | 4nm | 3nm | - |
| Target Market | datacenter | datacenter | - |
| Form Factor | Rack-scale | OAM | - |
| Memory & Bandwidth | |||
| VRAM Capacity | 384GB | 288GB | +33% |
| Memory Type | HBM3e | HBM3e | - |
| Memory Bandwidth | 16.0 TB/s | 8.0 TB/s | +100% |
| Memory Bus Width | 8192-bit | 8192-bit | - |
| Compute Infrastructure | |||
| CUDA Cores | 36,864 | N/A | |
| Stream Processors | N/A | 24,576 | |
| AI & Compute Performance (TFLOPS) | |||
| FP32 (Single Precision) | 180 TFLOPS | 210 TFLOPS | -14% |
| FP16 (Half Precision) | 9,000 TFLOPS | N/A | |
| INT8 (Integer Precision) | 18,000 TOPS | N/A | |
| Power & Efficiency | |||
| TDP (Thermal Design Power) | 1200W | 1000W | +20% |
| PCIe Interface | PCIe 5.0 x16 | PCIe 5.0 x16 | - |
🎯 Use Case Recommendations
LLM & Large Model Training
NVIDIA GB200 NVL72
Higher VRAM capacity and memory bandwidth are critical for training large language models. The GB200 offers 384GB compared to 288GB.
AI Inference
NVIDIA GB200 NVL72
For inference workloads, performance per watt matters most. Consider the balance between FP16/INT8 throughput and power consumption.
Budget-Conscious Choice
AMD Instinct MI355X
Based on current cloud pricing, the Instinct MI355X starts at a lower hourly rate.
Technical Deep Dive: GB200 vs Instinct MI355X
This head-to-head pits NVIDIA's Blackwell against AMD's CDNA 4. The GB200 has a significant **96GB VRAM advantage**, which is crucial for training massive datasets or large language models. From a cost perspective, the **Instinct MI355X** is currently about **78% cheaper** per hour, offering better value for budget-conscious projects.
NVIDIA GB200 NVL72 is Best For:
- Massive LLM training
- Trillion-parameter models
- Single-node tasks
AMD Instinct MI355X is Best For:
- Massive LLM training
- Budget projects
Frequently Asked Questions
Which GPU is better for AI training: GB200 or Instinct MI355X?
For AI training, the key factors are VRAM size, memory bandwidth, and tensor core performance. The GB200 offers 384GB of HBM3e memory with 16.0 TB/s bandwidth, while the Instinct MI355X provides 288GB of HBM3e with 8.0 TB/s bandwidth. For larger models, the GB200's higher VRAM capacity gives it an advantage.
What is the price difference between GB200 and Instinct MI355X in the cloud?
Cloud GPU rental prices vary by provider and region. Based on our data, GB200 starts at $10.50/hour while Instinct MI355X starts at $2.29/hour. This represents a 359% price difference.
Can I use Instinct MI355X instead of GB200 for my workload?
It depends on your specific requirements. If your model fits within 288GB of VRAM and you don't need the additional throughput of the GB200, the Instinct MI355X can be a cost-effective alternative. However, for workloads requiring maximum memory capacity or multi-GPU scaling, the GB200's architecture may be essential.
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