META PLATFORMS INC.

DeepSeek V4.1 Flash benchmarks revealed real‑world performance gaps and memory limits on NVIDIA DGX Spark, showing how tuning and NVMe streaming can unlock faster, more stable inference.

Discover how llama.cpp’s new tensor split & MTP upgrades push local LLMs like Gemma 4 and Qwen 3.8 to 60–70 tokens/sec, unlock multimodal vision‑language and 200k‑token context, and shift AI from cloud to consumer hardware.

Explore how Alibaba’s Qwen 3.6 27B model powers custom autonomous agents, sub‑agents, and MCP tools, revealing the rise of Chinese LLMs in open‑source AI development.

Mixed Qwen 3.8 Flash Next reviews reveal fast inference but coding glitches, sparking debate over speed vs. accuracy and hardware hacks.

LiquidAI’s LFM2.5‑24B‑A2B delivers ~95 tps on AMD hardware, doubling Qwen 3.6 speeds while handling tool calls in agentic workflows—fast but still maturing in accuracy.

PS5 jailbreak proves gaming consoles can run large language models—Qwen 3.8 27B at 20 tokens/sec—showcasing a leap toward local AI deployment.

AnythingLLM shifts from Ollama to Lemonade SDK and llama.cpp, boosting beginner‑friendly local LLM setups with granular hardware control and advanced performance options.

Unlock local AI inference speedups by optimizing legacy GPUs, custom kernels like megakernel, and DIY cooling for mining rigs—boost your model performance.

Explore VRAM limits for LLMs, compare top local models, and plan hardware upgrades for high‑capacity GPUs to run advanced AI on consumer rigs.

Explore Vega, the new physics‑based decision model—open‑source, 800M‑4B parameter options, 73k‑token context, image support, and sub‑20 ms GPU latency.