PyTorch Mixed Precision Training: FP16 vs BF16 Guide
How PyTorch's Automatic Mixed Precision works, when to use FP16 vs BF16, GradScaler explained, and which GPUs actually get a speedup.
Posts tagged with
#VRAMFound 13 posts with this tag
Multi-GPU Ollama Setup: Running Bigger Local LLMs
How Ollama splits models across multiple GPUs automatically, the environment variables that control it, and real hardware combos for running GLM-5.2, DeepSeek V4 Flash, and other big local models.
Qwen3.8-27B Hardware Guide: VRAM and GPU Requirements
What it takes to run Qwen3.8-27B locally: the dense model that actually fits on one consumer GPU, memory needs per quantization, and how it compares to MoE giants like GLM-5.2.
AirLLM: Run a 70B LLM on a Single 4GB GPU (How It Works, and the Catch)
AirLLM lets a 4GB GPU run a 70B parameter model by streaming layers from disk instead of loading them into VRAM. Here's how it works, real model-to-VRAM numbers, and the speed tradeoff nobody mentions in the headline.
DeepSeek V4 Flash Hardware Guide: VRAM and GPU Requirements
What it takes to run DeepSeek V4 Flash locally: memory needs per quantization, realistic setups from a single 24GB GPU to multi-GPU rigs, and when cloud makes more sense.
Deep Learning GPU Benchmarks 2026: RTX 5090, H100, A100 Compared
GPU benchmarks for deep learning in 2026. Training throughput, inference speed, and VRAM requirements across RTX 5090, 5080, 5070 Ti, A100, and H100. Find the best GPU for your workload.
GLM-5.2 Hardware Guide: VRAM and GPU Requirements
What it takes to run GLM-5.2 locally: memory needs per quantization, realistic setups from Mac Studio to multi-GPU rigs, and when cloud makes more sense.
LLM Quantization Explained: GGUF vs GPTQ vs AWQ (2026 Guide)
GGUF vs GPTQ vs AWQ quantization for local LLMs explained. Which format to use with Ollama, llama.cpp, and vLLM, and how much quality you lose.
RTX 5090 vs RTX 4090 for Deep Learning: Is the Upgrade Worth It?
RTX 5090 vs RTX 4090 benchmarks for AI and deep learning. VRAM, memory bandwidth, training speed, and whether the upgrade makes financial sense in 2026.
Fix CUDA Out of Memory in PyTorch: 10 Proven Solutions
Diagnose and fix RuntimeError: CUDA out of memory in PyTorch. Batch size, mixed precision, gradient checkpointing, and 7 more proven solutions.
How Much VRAM for FLUX Image Generation? Complete Guide
Exact VRAM requirements for FLUX.1 Dev, Schnell, and Pro models. Benchmarks across RTX 3060, 4090, and 5090 with quantization options for every GPU budget.
Best GPU for Llama 4 Locally: Scout & Maverick Guide
Hardware requirements for running Llama 4 Scout (109B) and Maverick (400B) locally. VRAM needs, quantization, and GPU picks for every budget.
Best GPUs for Deep Learning 2026: RTX 5090 to H100
Compare the best GPUs for deep learning in 2026: RTX 5090, A100, H100, and AMD alternatives. VRAM needs, CUDA vs ROCm, and cloud vs local compared.
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