Models & Labs
New CPD Architecture Boosts LLM Serving Speed
Together AI Blogmedium confidence
Why it matters
- →This advancement could significantly enhance the efficiency of long-context language models, benefiting developers and researchers working with large datasets.
Together AI introduces a cache-aware architecture called CPD that improves throughput by 40% for long-context LLM serving by separating warm and cold inference workloads.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1Optimizing Inference Speed and Costs
Together AI Blog · January 22, 2026 · Related
- 2New Method Enhances LLM Training Efficiency
MIT News AI · February 26, 2026 · Related
What happened next
- 3Together AI's Inference Engine Outperforms Competitors
Together AI Blog · May 19, 2026 · Related
- 4JetBrains Releases Mellum2: Efficient 12B MoE Model
Hugging Face Blog · June 1, 2026 · Background
- 5Persistent Memory Enhances AI Agent Performance
Lev Selector · June 12, 2026 · Background
- 6Subquadratic claims breakthrough in LLM efficiency
MIT Technology Review AI · June 19, 2026 · Background
- 7OpenAI and Broadcom unveil LLM-optimized chip
OpenAI · June 24, 2026 · Background
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