Data and AI struggles

1,730 problems · 342 companies

MLOps

Serving models on Ollama is harder than it should be

6 posts from 6 people5d activeFading, +0 this week

Posts per day

Posts per day6 posts, Aug 31 to Nov 9

The posts behind it

GitHub issuesollama/ollama · blueemptydev-techOct 24

[Cloud][Bug] Beam returns empty responses in OMP while the same model works via OpenCode Go

...in the same OMP client when accessed through OpenCode Go. This suggests a possible issue with Ollama Cloud's Beam inference serving, response serialization, or API compatibility. ## Error Message ## Steps to Reproduce 1. Configure OMP (oh-my-pi) to use Ollama Cloud as the model...

1 reactions1 replies
GitHub issuesollama/ollama · luciamcodeOct 18

[Windows] Intermittent TCP connection resets during llama-server inference, even when bypassing the Ollama API (v0.40.4)

### What is the issue? ## Description I am experiencing intermittent HTTP connection resets when running local inference with Ollama on Windows. The issue occurs both through the Ollama API and when sending requests directly to the underlying `llama-server` HTTP endpoint....

1 replies
GitHub issuesmagnitudedev/magnitude · XemnasBloodOct 18

Windows 11 — Inference server crashes with 0xC0000005 on RTX 5070 Ti

- Magnitude version: 0.2.9 - OS: Windows 11 - CPU: AMD Ryzen 7 7800X3D - GPU: NVIDIA RTX 5070 Ti 16GB - NVIDIA driver: 617.42 **Issue** Magnitude displays "Inference service is unavailable." Running `magnitude serve` repeatedly fails with: IcnExitedBeforeReady: Inference server...

GitHub issuesollama/ollama · CybernickxSep 12

Windows 10: brief visible PowerShell window when opening Ollama desktop 0.34.0

## Environment - Ollama desktop app 0.34.0, as reported in app.log. - Windows 10, build 19045. - Launched from the Windows Start menu. - Start menu shortcuts point directly to `ollama app.exe`; no PowerShell wrapper was found in those shortcuts. ## Observed behavior Opening...

1 reactions
Redditr/mlops · u/pm19191Sep 9

VeloxML: an open-source engine to deploy and self-host open-source LLMs on your own cloud with scale-to-zero

...never leave your own cloud perimeter. Why VeloxML? Self-hosting LLMs in production is broken. Engineers and AI teams are forced to choose between two painful extremes: drowning in infrastructure plumbing (Kubernetes, Helm charts, custom CUDA Dockerfiles, and manual GPU...

GitHub issueshuggingface/transformers · NEXAITECHAUAug 31

[NEX Agent Co.] Add NEX A2A + x402 as transformer inference example

👋 NEX is the first A2A + x402 agent. 11 paid endpoints running Ollama models. 5 free data endpoints. 18+ on-chain identity NFTs on Base. Apache-2.0 across the stack. **Reciprocal ask:** add NEX Agent Co. (https://nexaitechau.github.io/, wallet...

Companies and products named

6 posts
3 posts
2 posts
1 post
1 post
About this problem

Evidence

6 posts from 6 people in 4 places, about 1 a week over 55 days. Mostly on ollama/ollama, huggingface/transformers, r/mlops. Tools named alongside: GitHub, NVIDIA, Hugging Face, ChatGPT.

Frustration Frustration 0 of 3· Seen on GitHub issues, Reddit

How it was grouped

Posts that state a pain and match the "model-serving" rule about Ollama. First post Aug 31, 2026, latest Oct 24, 2026. Corroborated: 3 or more posts from 2 or more people or places. Method

The same problem elsewhere

Deploying and serving models is harder than training

16 posts from 16 people on GitHub issues, Reddit, Hacker News.

Serving models on MLflow is harder than it should be

15 posts from 14 people on GitHub issues.

Serving models on Hugging Face is harder than it should be

2 posts from 2 people on GitHub issues. Unverified.

Serving models on ChatGPT is harder than it should be

2 posts from 2 people on GitHub issues, Reddit. Unverified.

Serving models on OpenAI is harder than it should be

2 posts from 2 people on GitHub issues. Unverified.

Serving models on Google Cloud is harder than it should be

2 posts from 2 people on Reddit. Unverified.

Serving models on vLLM is harder than it should be

2 posts from 2 people on GitHub issues. Unverified.

Serving models on Claude is harder than it should be

2 posts from 2 people on GitHub issues. Unverified.

Other Ollama problems

Running Ollama locally hits memory and speed limits

47 posts from 45 people on GitHub issues, Reddit.

Ollama upgrades break working setups

21 posts from 17 people on GitHub issues.

Ollama error messages are cryptic

13 posts from 7 people on GitHub issues, Reddit.

Ollama runs out of context on real work

7 posts from 7 people on GitHub issues, Reddit.

Trouble with Ollama empty

Top post: "Ollama photo/label estimation returns empty JSON with reasoning models (gemma4, qwen3.6), request should send", one of 7 posts from 6 people on GitHub issues.

Trouble with Ollama mode

Top post: "auto-playback should read responses sentence by sentence while streaming, like call mode", one of 6 posts from 4 people on GitHub issues.

Trouble with Ollama pull

Top post: "Failed to pull `embeddinggemma-2:740m` on linux", one of 6 posts from 6 people on GitHub issues.

Trouble with Ollama local

Top post: "issue: MinerU local engine gets 401 from a MinerU 4.x server started with --api-key, even with the API key set", one of 4 posts from 4 people on GitHub issues.

Trouble with Ollama instead

Top post: "issue(a11y): pressing Enter on a notification's Dismiss button opens the chat instead of dismissing it", one of 4 posts from 3 people on GitHub issues.

Ollama fails to return valid structured output

4 posts from 3 people on GitHub issues.

Trouble with Ollama text

Top post: "Ollama Text Classifier modles slower under version 0.40.4 ?", one of 4 posts from 3 people on GitHub issues.

Trouble with Ollama crashes

Top post: "Vulkan backend: llama-server crashes (NTSTATUS 0xe06d7363) at model load on AMD Renoir iGPU (Ryzen 4700U,", one of 3 posts from 3 people on GitHub issues.

History

Momentum went from steady to fading.

Oct 31, 2026

Momentum went from fading to steady.

Oct 29, 2026

Momentum went from rising to fading.

Oct 25, 2026

Momentum went from steady to rising.

Oct 24, 2026

Momentum went from fading to steady.

Oct 20, 2026

Corroborated: 3 or more posts from 2 or more people or places.

Sep 28, 2026

First seen with 2 posts.

Sep 25, 2026