
Fix Ollama CUDA Out of Memory Errors: 5 Tested Steps
Fix CUDA error out of memory in Ollama on NVIDIA RTX GPUs. Configure sysmem fallback, adjust num_gpu layers, and manage KV cache allocation.
14 articles

Fix CUDA error out of memory in Ollama on NVIDIA RTX GPUs. Configure sysmem fallback, adjust num_gpu layers, and manage KV cache allocation.

Why does Ollama cut off chat history after 2048 tokens? How to override num_ctx in your Modelfile and API parameters without crashing your GPU.

Why does a 32k context window crash your local LLM with out-of-memory errors? How KV cache scaling works and how to enable FP8 cache quantization.

vLLM vs LM Studio vs Ollama benchmarked on Windows 11 WSL2. Real tokens/sec, VRAM footprint, and PagedAttention tests on RTX 4090 and RTX 4060 GPUs.

DeepSeek-R1 FP8 vs Q4_K_M quantization tested on local hardware. Real VRAM usage benchmarks, token speeds on RTX 4090 and 3090, and quality loss analysis.

DeepSeek-R1 Distill vs Gemini Flash benchmarks: Firsthand tokens/sec, VRAM footprint, MATH500 reasoning accuracy, and API costs on 8GB–16GB consumer GPUs.

Cut local LLM attention memory in half. Learn the exact FP8 KV-cache flags, vLLM settings, and Ollama configs to run 128K context on 24GB GPUs.

How our team routes developer workloads between cloud DeepSeek API and local Ollama on 8GB-16GB GPUs for low-latency coding and zero-leakage log analysis.

Deploy private local RAG with Open-WebUI, Ollama, and ChromaDB. Step-by-step setup guide with Qwen 2.5 benchmarks, Docker compose, and GPU memory sizing.

Run Microsoft Phi-4 and DeepSeek-R1 natively on Windows 11. Complete hardware sizing, Ollama command runbook, and GPU offloading benchmark data.

Why is Ollama generating tokens so slowly? Fix CPU fallback caused by large num_ctx values, tune layer offloading, and optimize VRAM in 5 steps.

How our team set up Open WebUI and Ollama with nomic-embed-text to index internal IT runbooks, network topologies, and incident notes 100% offline.

Tired of GitHub Copilot paywalls? 5 truly free AI coding assistants tested for VS Code, terminal workflows, and local LLM autocomplete in 2026.

Can you run DeepSeek-R1 on 8GB VRAM? Benchmarked 8B and 14B Q4_K_M models on RTX 4060 and RX 7600 with exact token speeds, VRAM footprints, and Ollama flags.