Skip to content

Cloud AI

Exploring the Future of Cloud and Artificial Intelligence

  • Artificial Intelligence
  • Cloud
    • Cloud Infrastructure
  • DevOps and SRE
  • Cloud Security
  • Meeting William
LLM quantization — Quantization Halved Our 70B LLM Inference Cost in 2026 LLM quantization — Quantization Halved Our 70B LLM Inference Cost in 2026
Artificial Intelligence

Quantization Halved Our 70B LLM Inference Cost in 2026

June 25, 2026 0 Comments

A 70B-parameter model in FP16 burns roughly 140 GB of VRAM just to hold its weights. Compress those weights to 4-bit integers and the footprint collapses to about 35 GB — small enough to fit on a single 80 GB GPU with room left for the KV cache. That fourfold …

Read More
Read More
Editorial team
  • Quantization Halved Our 70B LLM Inference Cost in 2026
  • Reasoning Models Cost 15x. Adaptive Depth Saves 60%
  • Agent Observability: 83% Build, 11% Ship, Nobody Knows Why
  • Prefill-Decode Disaggregation: NVIDIA’s 7x Inference Fix
  • K8s GPU Clusters Waste 95% of Capacity — Top Teams Don’t
Privacy | Terms | Contact
Privacy preferences

We use cookies and similar technologies to measure audience and improve this site. You can accept analytics cookies or continue with only essential cookies. Privacy policy.