ai-toolsUpdated
DeepSeek-V4.1-Flash: 5 Real Benchmarks & GGUF Specs (2026)
Real DeepSeek-V4.1-Flash benchmarks: tokens/sec speed, 1M context KV cache limits, 552B MoE architecture, and VRAM requirements on RTX 4090 and A100.
12m read
#vllm
6 articles
ai-toolsUpdated
vLLM vs SGLang: PagedAttention vs RadixAttention in 2026
vLLM PagedAttention vs SGLang RadixAttention benchmarked. Which engine delivers higher throughput for multi-turn chat and structured outputs on RTX 4090?
17m read
ai-toolsUpdated
Dual GPU Local LLMs: Fix Tensor Parallelism in vLLM (2026)
Why does tensor parallelism fail across dual consumer GPUs like dual RTX 3090s? Fix PCIe P2P blocks, NCCL timeouts, and pipeline parallelism in vLLM.
14m read
ai-toolsUpdated
Why 32k Context Crashes Local LLMs: VRAM & KV Cache Fix
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.
13m read
ai-toolsUpdated
VLLM vs LM Studio vs Ollama: Windows 11 Benchmarks (2026)
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.
13m read
ai-automationUpdated
FP8 KV Cache in Ollama & vLLM: 3 Tested Steps (2026)
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.
7m read