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Model Compatibility Test
Check if your device can run models of different scales
Enterprise Deployment Server Configuration Calculator
Calculate server configuration required for enterprise deployment
Deployment Parameters Configuration
Personal Development
Suitable for individual developers or small projects
Team Collaboration
Suitable for small to medium teams
Production Environment
Suitable for enterprise-level production deployment
Research & Development
Suitable for large-scale model research
1
Model Parameters and Quantization Type
Model Parameters
DeepSeek 7B
DeepSeek 14B
DeepSeek 32B
DeepSeek 70B
DeepSeek R1 671B
Quantization Type
FP32(32-bit)
BF16(16-bit)
FP16(16-bit)
FP8(8-bit)
INT8(8-bit)
INT4(4-bit)
2
Runtime Parameters Configuration
Sequence Length: 32768
Batch Size: 32
GPU Count: 8
GPU Memory Distribution
Model Details
Hidden Layer Dimension:8192
Layer Count:80
Attention Head Count:64
KV Head Count:8
Max Position Encoding:32768
Vocabulary Size:128256
Parameters Per Layer:875.0M
Total Parameter Calculation:70000M
Attention Dimension:128
FFN Expansion Ratio:3.50x
GQA Ratio:8.0:1
Recommended Configuration
Hardware Configuration
Select Available GPU
Current Quantization: FP8
Select GPU Model
Selected GPU
| Component | Recommended Configuration |
|---|---|
| GPU | 8×NVIDIA RTX 4090 (24GB) |
| CPU | AMD EPYC 7543 / Intel Xeon Silver 4314 32-core 64-thread |
| Memory | 42GB DDR5 ECC-5600MHz Quad Channel |
| Network | 25Gbps (Network) + 64GB/s (PCIe) + 900GB/s (NVLink) 25Gb Ethernet |
| Storage | 245.71GB NVMe RAID |
| Optimization | FlashAttention-2 + INT8/8bit/FP8 Quantization + ZeRO-2 |
GPU Compatibility Check
No compatibility data available, please select GPU manually
Calculation Result
Framework Fixed Overhead
1.00 GB
Framework Initialization Overhead
Model Parameters
8.75 GB
Parameters 70 B × Precision FP8(1 bytes) ÷ GPU Count 8 = 8.75 GB/GPU
Activation
2.19 GB
Model Parameters 70.00 GB × Dynamic Coefficient 0.25 ÷ GPU Count 8= 2.19 GB/GPU
Output Tensor
15.66 GB
Batch Size 32 × Sequence Length 32768 × Vocabulary Size 128,256 × 1 bytes ÷ (1024³) ÷ GPU Count 8 = 15.66 GB/GPU
Memory Requirement
220.75 GB
System Total Memory Requirement
Framework Fixed Overhead: 8.00 GB + Total Parameters: 70.00 GB + Total Activation: 17.50 GB + Total Output Tensor: 125.25 GB = 220.75 GB
27.59 GB
Per GPU Memory Requirement
Framework Fixed Overhead 1.00 GB + Parameters/GPU 8.75 GB + Activation/GPU 2.19 GB + Output Tensor/GPU 15.66 GB = 27.59 GB