NVIDIA V100 VS AMD Instinct MI355X
Choosing between **V100** and **Instinct MI355X** depends on your specific AI workload requirements. The **Instinct MI355X** 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 **$0.13/h** and **$2.29/h** respectively across 19 providers.
Instinct MI355X
📊 Detailed Specifications Comparison
| Specification | V100 | Instinct MI355X | Difference |
|---|---|---|---|
| Architecture & Design | |||
| Architecture | Volta | CDNA 4 | - |
| Process Node | 12nm | 3nm | - |
| Target Market | datacenter | datacenter | - |
| Form Factor | SXM2 / PCIe | OAM | - |
| Memory & Bandwidth | |||
| VRAM Capacity | 32GB | 288GB | -89% |
| Memory Type | HBM2 | HBM3e | - |
| Memory Bandwidth | 900 GB/s | 8.0 TB/s | -89% |
| Memory Bus Width | 4096-bit | 8192-bit | - |
| Compute Infrastructure | |||
| CUDA Cores | 5,120 | N/A | |
| Tensor Cores (AI) | 640 | N/A | |
| Stream Processors | N/A | 24,576 | |
| AI & Compute Performance (TFLOPS) | |||
| FP32 (Single Precision) | 15.7 TFLOPS | 210 TFLOPS | -93% |
| FP16 (Half Precision) | 125 TFLOPS | N/A | |
| FP64 (Double Precision) | 7.8 TFLOPS | N/A | |
| Power & Efficiency | |||
| TDP (Thermal Design Power) | 300W | 1000W | -70% |
| PCIe Interface | PCIe 3.0 x16 | PCIe 5.0 x16 | - |
🎯 Use Case Recommendations
LLM & Large Model Training
AMD Instinct MI355X
Higher VRAM capacity and memory bandwidth are critical for training large language models. The Instinct MI355X offers 288GB compared to 32GB.
AI Inference
NVIDIA V100
For inference workloads, performance per watt matters most. Consider the balance between FP16/INT8 throughput and power consumption.
Budget-Conscious Choice
NVIDIA V100
Based on current cloud pricing, the V100 starts at a lower hourly rate.
Technical Deep Dive: V100 vs Instinct MI355X
This head-to-head pits NVIDIA's Volta against AMD's CDNA 4. The Instinct MI355X has a significant **256GB VRAM advantage**, which is crucial for training massive datasets or large language models. From a cost perspective, the **V100** is currently about **94% cheaper** per hour, offering better value for budget-conscious projects.
NVIDIA V100 is Best For:
- Deep learning training
- Scientific research
- Latest generation workloads
AMD Instinct MI355X is Best For:
- Massive LLM training
- Budget projects
Frequently Asked Questions
Which GPU is better for AI training: V100 or Instinct MI355X?
For AI training, the key factors are VRAM size, memory bandwidth, and tensor core performance. The V100 offers 32GB of HBM2 memory with 900 GB/s bandwidth, while the Instinct MI355X provides 288GB of HBM3e with 8.0 TB/s bandwidth. For larger models, the Instinct MI355X's higher VRAM capacity gives it an advantage.
What is the price difference between V100 and Instinct MI355X in the cloud?
Cloud GPU rental prices vary by provider and region. Based on our data, V100 starts at $0.13/hour while Instinct MI355X starts at $2.29/hour. This represents a 94% price difference.
Can I use Instinct MI355X instead of V100 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 V100, the Instinct MI355X can be a cost-effective alternative. However, for workloads requiring maximum memory capacity or multi-GPU scaling, the V100's architecture may be essential.
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