KV-Cache Offloading Strategies: CPU, GPU, and NVMe Tradeoffs in 2026
KV-cache is the dominant memory cost in long-context inference. The 2026 offloading strategies that make 1M-token serving practical.
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KV-cache is the dominant memory cost in long-context inference. The 2026 offloading strategies that make 1M-token serving practical.
MoE evolved beyond simple top-k routing. The 2026 patterns from Granite, DeepSeek-MoE, and Mixtral that make MoE practical at scale.
Three open-weight coding models compared — Codestral 25.05, Code Llama 70B, DeepSeek-Coder V3 — for real-PR workloads. Lens: real estate. A 2026 builder briefing.
PagedAttention launched a family of memory-management techniques that make modern LLM serving possible. The 2026 descendants and what they fix.
Speculative decoding is now standard for LLM inference. The 2026 algorithms — EAGLE-3, Medusa-V2, MTP — and how to choose between them.
Hippocratic's NVIDIA partnership took healthcare voice agents from cents per minute to fractions of a cent in 2026. Here's the architecture, the GPU economics.
Simulated multi-agent worlds are now serious research instruments. What 2026 studies in AI Town, Smallville, and Concordia found about emergent agent behavior.
SMB Founder Playbook perspective on Decagon's growth in enterprise CX shows there is room for multiple winners in the customer experience agent space.
Three protocols, one stack. How MCP, A2A, and ACP compose to let agents in any language talk to tools, agents, and workflows in 2026.
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