#大模型部署
4 related articles
Industry Insights·2 min
AMD MI355X Beats B200: Full-Stack Optimization Breakdown for 5% Lower TCO on DeepSeek-R1 Inference
AMD Instinct MI355X achieves 5% lower TCO than NVIDIA B200 on DeepSeek-R1 disaggregated inference via SGLang+MoRI full-stack optimization with 1.25x per-GPU throughput.
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Tutorials
Decoding LLM Naming Conventions: Param…
·3 min
Decoding LLM Naming Conventions: Parameter Counts, Quantization Formats & VRAM Requirements Quick Reference
Decode LLM naming conventions, understand 32B parameters & AWQ/GGUF quantization formats, with 4-bit VRAM estimation formulas, MOE model pitfalls, and model selection by GPU tier.
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Product Reviews
AI Coding Appliance vs Cloud LLMs: Can…
·2 min
AI Coding Appliance vs Cloud LLMs: Can ¥480K in Annual Fees Buy 4 Local Deployment Solutions?
A deep cost comparison between AI coding appliances and cloud LLM APIs. A 20-person team spending ¥480K/year on tokens can deploy 4 local OnePanel units at ¥99K each, breaking even in 2.5 months.
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Product Reviews
Three AI Agents Tested Head-to-Head: W…
·3 min
Three AI Agents Tested Head-to-Head: Which One Handles E-Commerce Livestream Data Analysis Best?
Testing three AI Agents on e-commerce livestream data analysis: local deployment memory limits, costly overseas APIs, and how a cloud-based multi-model solution delivers a complete business workflow.
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