Model Optimization

21 posts · 12 sources

+4

QdrantBlog2w

Oxidizing Cross-Encoders

Two Minute PapersYouTube2w

Claude Opus 5.5 AI: A Massive Leap Forward

Fireworks AIBlog2w

Introducing Ember-1

BasetenBlog4w

How Baseten makes pyannote’s diarization models 9.6x faster

NVIDIABlog4 Sept

Frontier Reasoning Reaches the Edge: How to Deploy and Optimize Models on NVIDIA Jetson

NVIDIABlog1 Sept

How to Size GPUs for AI Inference and TCO Without Overspending

Two Minute PapersYouTube26 Aug

DeepSeek’s New AI System Shouldn’t Be Possible

CoreweaveBlog30 Jul

CoreWeave Leads on Artificial Analysis for Kimi K2.7 Code Inference

CoreweaveBlog30 Jul

GLM 5.2 on CoreWeave Inference

GoogleBlog14 May

Accelerating on-device AI: A look at Arm and Google AI Edge optimization- Google Developers Blog

HexBlog13 Feb

Training vs. Inference: What ML Models Actually Cost to Run

ReplicateBlog31 Jul

Open source video is back

CohereBlog17 Jul

Taming AI costs: Leaner models for smarter agentic use

CohereBlog10 Jul

Introducing Command A: Max performance, minimal compute

BasetenBlog4 Apr

The best open-source embedding models

ReplicateBlog26 Nov

FLUX fine-tunes are now fast

BasetenBlog14 Jun

Comparing few-step image generation models

BasetenBlog21 Nov

Open source alternatives for machine learning models

BasetenBlog21 Nov

A checklist for switching to open source ML models

GitLabBlog23 Feb

Machine learning and DevSecOps: Inside the OctoML/GitLab integration