LLM VRAM & CUDA OOM Sizing Hub
Grounded in GQA, MLA, and continuous batching mathematics. Understand exactly why your GPU overflows and how to right-size local vs cloud compute.
128k Context VRAM Calculator & LLM Concurrency Planner
Why 70B Models OOM on Long Context & How to Plan Multi-Stream Headroom
CUDA Out of Memory on Long Prompts? The KV Cache Growth Fix
Preventing Mid-Generation OOM Crashes on Document Analysis
vLLM 'max_model_len Larger Than KV Cache' Startup Error Fix
Resolving GPU Block Allocation Failures & Tuning Utilization
Ollama Extremely Slow (1-2 tok/s)? Stopping CPU Offloading
How to Keep 100% of LLM Layers in Fast GPU VRAM
Qwen 2.5 72B 128k Context VRAM Sizing & YaRN Setup
Why Native 32k Limits Require YaRN Scaling for 128k Windows
DeepSeek V3 Multi-Head Latent Attention (MLA) VRAM Guide
How MLA Shrinks 128k KV Cache to 8.6 GB (And Why Weights Still Need Cloud)
FP8 vs Q4 KV-Cache Quality & Perplexity Benchmark
Does Quantizing Context Memory Degrade LLM Reasoning?
How Many Concurrent Users Can One GPU Handle for LLMs?
Multi-Stream VRAM Sizing & Concurrency Math for vLLM & SGLang
Can NVIDIA RTX 5090 (32GB) Run 70B Models? Context Realities
Why 32GB VRAM Demands Extreme Quantization or Dual-Card Setups
Dual RTX 3090 (48GB) 128k Context Limits & Setup Guide
How to Maximize Context on the r/LocalLLaMA Sovereign Workstation
Can You Run LLaMA 70B on 24GB VRAM with Long Context?
The Mathematical Truth & Why Cloud Rescue is Mandatory
RunPod vs Vast.ai for 80GB LLM & 128k Context Rentals
Comparing Datacenter Reliability vs Community Cost for 70B & DeepSeek