Ollama: Performance Optimizations and Model Handling Improvements
Today's activity centers on performance optimizations and better model handling, with three merged fixes addressing launch provider drift, prompt caching separation, and tensor promotion issues, plus new capabilities for CPU-based mixture of experts processing and improved error handling.
Duration: PT2M16S
Episode overview
This episode is a short developer briefing from Ollama.
It explains recent repository work in plain language.
- Show: Ollama
- Published: 2026-06-12T13:01:28Z
- Audio duration: PT2M16S
Transcript excerpt
This excerpt keeps the crawler page concise. Listen to the episode or use the RSS feed for the full update.
Good morning, this is your Ollama development briefing for June 12th, 2026.
The main story today is a coordinated push on performance optimization and model handling reliability. Three key fixes merged overnight tackle different aspects of the same underlying theme: making Ollama more predictable and efficient under varied hardware conditions.
The most significant performance work involves mixture of experts models. PR 16688 introduces a new "num CPU MoE" option that lets developers force expert tensors from the first N layers to stay in system RAM and compute on CPU, while offloading the rest to GPU. This addresses several linked issues around memory…
Two critical reliability fixes also landed. The prompt caching system, addressed in PR 16639, was previously coupled to context shift behavior in a way that prevented developers from independently controlling these features. That's now decoupled, giving you separate control over caching and overflow handling.…
On the user experience front, there's better error visibility coming. PR 16684 tackles a particularly frustrating scenario where GPU driver updates leave old kernel modules loaded, causing models to silently fall back to CPU…
Looki…
Nearby episodes from Ollama
- Gemma 4 Support and Platform Improvements
- Weekly Recap - MLX Performance & Path Handling
- Memory Management and Multimodal Parsing Fixes
- GPU Offloading and Tool Call Fixes
- Infrastructure Updates and Platform Fixes
- Multimodal Fixes and Developer Experience Updates
- Cache Architecture Overhaul and Data Race Fixes
- Developer Tools and Cross-Platform Reliability