AI Tutorials
vLLM vs Ollama: Production Serving 2026
A deep dive into the architecture, performance benchmarks, and decision frameworks for choosing between vLLM and Ollama for LLM inference in 2026.
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LLM Inference
Explore our entire collection of insights, tutorials, and industry news.
- AI Tutorials
Running 70B LLMs on a 4GB GPU with AirLLM
Discover how AirLLM enables large language model inference on consumer hardware by bypassing VRAM limitations through layer-wise loading and disk-to-GPU streaming.Read more → - Model Reviews
Optimizing Reasoning Models: Achieving ACE Performance with Fewer Tokens
An in-depth technical analysis of reducing inference-time computation overhead in reasoning models like DeepSeek-R1 and OpenAI o1 while maintaining high-quality outputs.Read more → - AI Tutorials
GPU Memory Management for LLM Inference: Beyond Model Weights
Learn the real arithmetic behind GPU memory for LLMs, focusing on the KV cache, fragmentation, and overhead that most tutorials skip.Read more → - AI Tutorials
Transferring KV Cache Between LLMs Without Re-Prefill for 25x Faster Inference
Discover a new method to transfer KV caches between different-sized LLMs in the same family using linear mapping, achieving up to 25x speedup over traditional re-prefill.Read more → - Industry News
AI Chip Startup Etched Reaches 10.3 Billion Valuation to Challenge NVIDIA
Etched, a startup founded by Harvard dropouts, has secured a $10.3 billion valuation for its 'Sohu' chip, an ASIC designed specifically to run Transformer models at speeds far exceeding NVIDIA's H100 GPUs.Read more → - AI Tutorials
Building a Custom LLM Inference Runtime on H100
A deep dive into building a high-performance LLM runtime from scratch, covering CUDA graphs, weight packing, and H100 optimization strategies.Read more → - AI Tutorials
How to Run a 110B LLM on 16GB RAM: The Math Behind Local Inference Speed
Discover the 'Tiered Decode Law' that predicts LLM inference speed across hardware. Learn how depth-aware quantization allows a 110B model to run on a 2016 desktop with 16GB RAM.Read more → - AI Tutorials
Intel Arc Pro B70 Outperforms NVIDIA 5090D in DeepSeek R1 Inference
An unexpected benchmark reveals Intel's Arc Pro B70 workstation GPU beating NVIDIA's flagship 5090D in DeepSeek R1 throughput, signaling a shift in LLM hardware economics.Read more → - AI Tutorials
Intel Arc Pro B70 Challenges NVIDIA in AI Inference Benchmarks
Intel's new $2,000 workstation GPU is outperforming NVIDIA's flagship in specific DeepSeek R1 inference tasks. Explore the shifting landscape of LLM hardware, the Apple-OpenAI legal battle, and the rise of agentic ransomware.Read more → - Model Reviews
High-Performance LLM Inference with the Native vLLM Transformers Backend
An in-depth look at how the native vLLM backend for Transformers revolutionizes LLM inference speed and efficiency for developers.Read more → - Industry News
SambaNova Systems Secures $1B Funding at $11B Valuation
AI chipmaker SambaNova Systems has raised $1 billion in a new funding round, propelling its valuation to $11 billion and signaling a massive shift in the hardware-software co-design landscape for LLM inference.Read more →