#KV cache bandwidth

182 related articles

Jul 24, 2026·6 min

Hands-On with Panel AI On-Premises Deployment: One-Click Enterprise Adoption and Unified Compute Cluster Scheduling

In-depth review of Panel AI v1.1.1: second-level installation, no-public-IP networking, batch compute cluster management. Learn how enterprise AI on-premises deployment barriers are dramatically lowered.

Jul 24, 2026·5 min

China Weighs Restricting Top AI Model Exports, While DeepSeek Quietly Builds Its Own Inference Chip

China's Ministry of Commerce is weighing restrictions on overseas access to top open-weight AI models from Alibaba, ByteDance, and DeepSeek. Meanwhile, DeepSeek is quietly building its own inference chip and raising ~$7B in first external funding.

Jul 24, 2026·5 min

China Weighs Restricting Top AI Model Exports as DeepSeek Develops Its Own Inference Chip

China's Commerce Ministry weighs restricting overseas access to top open-weight AI models from Alibaba, ByteDance, and DeepSeek, while DeepSeek develops its own inference chip amid a US-China AI export standoff.

Jul 23, 2026·4 min

The Rise of Chinese Open-Source AI Models: A Head-On Challenge to Closed-Source Dominance

Chinese open-source models rapidly close the capability gap with top closed-source AI. DeepSeek shocks the industry while Qwen matches global benchmarks.

Jul 23, 2026·3 min

Qwen 3.8 Open Source Incoming, DeepSeek Coding Agent, and the Latest in China's AI Ecosystem

Qwen 3.8 open source incoming, DeepSeek Resonics native coding agent debuts, Kimi pauses new subscriptions amid compute pressure, and Qiyimole shows domestic GPU interconnect solution at WAIC.

Jul 22, 2026·6 min

GPT-5.6 Hands-On Deep Dive: Three-Tier Models + Ultra Multi-Agent, Codex Fully Evolved

OpenAI launches GPT-5.6 with three tiered models—Sol, Terra, and Luna—Ultra multi-agent parallel collaboration, Codex integrated into ChatGPT desktop, and an upgraded Computer Use.

llmfit: One Command to Check Which Loc…

Jul 22, 2026·2 min

llmfit: One Command to Check Which Local LLMs Your Hardware Can Run

llmfit is an open-source Rust CLI tool that predicts whether your local hardware can run a given LLM — no model download required. Covers hundreds of models and backends like Ollama and llama.cpp.

Jul 22, 2026·3 min

V100 GPU Showdown: 4×16G PCIe vs. 2×32G SXM — Which Gives You More Bang for Your Buck?

Benchmarking 4×V100 16G PCIe vs. 2×V100 32G SXM adapter for local LLM inference. Prefill speed, decode speed, power limits, and bandwidth bottlenecks analyzed.

Jul 21, 2026·3 min

27B Parameter LLM on an iPhone? A Deep Dive into On-Device Full-Parameter AI

Startup Prismo claims to compress a 27B-parameter model to 4GB for full local inference on iPhone 17 Pro. We break down the compression tech, compare it to Apple's MoE approach, and assess real-world limits.

Jul 21, 2026·2 min

MiniMax M3 Local Deployment: 23B Active Parameters ≠ 23GB VRAM — A Complete Guide to MoE Architecture

MiniMax M3 is a 428B MoE model. Its 23B active parameters reflect per-token compute, not VRAM needs. Learn the MoE trade-offs, quantization options, and deployment paths to avoid the most common misconception.

Goku: A Browser-Based LLM Inference En…

Jul 20, 2026·2 min

Goku: A Browser-Based LLM Inference Engine and Model Manager Built on WebAssembly

Goku is a browser-based LLM inference engine built on WebAssembly and wllama, enabling local AI inference, model management, and offline use — no cloud API needed.

Handwritten C/CUDA Inference Engine: P…

Jul 20, 2026·2 min

Handwritten C/CUDA Inference Engine: Pushing Qwen 35B to the Limits on RTX 5090

A deep dive into a handwritten C/CUDA inference engine for Qwen 35B on RTX 5090 (Blackwell), covering quantization, FlashAttention kernels, and memory optimization.

Jul 19, 2026·4 min

The Local AI Inflection Point: Edge Deployment, Multi-Model Collaboration, and the Open-Source Ecosystem

AI Engineer Summit deep dive: Local AI hits a real inflection point, driven by privacy and cost. Multi-model collaboration goes mainstream, NVIDIA + ExoLabs achieve 10x gains, open-source ecosystem accelerates.

Block Low-Rank Compression: A Guide to…

Jul 19, 2026·2 min

Block Low-Rank Compression: A Guide to Accelerating Large Model Inference on Memory-Constrained GPUs

Learn how Block Low-Rank (BLR) decomposition compresses large model memory usage and accelerates GPU inference, including CUDA kernel optimization and combination with quantization and pruning.

Jul 17, 2026·3 min

Open-Source LLM Surge: K3 and V4 Drop Together as the Marginal Cost of Intelligence Approaches Zero

Kimi K3, DeepSeek V4, Liquid, and Mistral are all dropping at once. MXFP4 quantization and MoE architecture are pushing the marginal cost of intelligence toward zero. Here's what it means.

Jul 17, 2026·2 min

Running Qwen 122B on 8GB VRAM: A Complete Guide to Quantized Local Deployment

A Bilibili creator ran Qwen 122B with 256K context on just 8GB VRAM + 64GB RAM using llama.cpp. Full breakdown of quantization, deployment params, performance, and cost-effective alternatives.

Jul 16, 2026·3 min

GPUStack in Action: Complete Guide to Day 0 Deployment of DeepSeek-V4-Flash

Deploy DeepSeek-V4-Flash DSpark on 8× H20-141G using GPUStack's SGLang backend on Day 0. Full walkthrough of Web UI config, parameter tuning, and 200 tokens/sec benchmark results.

Jul 16, 2026·2 min

ExLlamaV3 v1.0.0 Official Release: Faster Inference, Lossless KV Quantization, and Streamlined Dependencies

ExLlamaV3 v1.0.0 releases with lossless KV cache quantization via kernel fusion, removal of flash-attention-2/xformers, major GEMM/GEMV gains, and broader tensor parallelism support.

Jul 16, 2026·2 min

How Large a Local LLM Can You Run on a Laptop with 8GB VRAM? A Configuration Guide

Complete guide to running local LLMs on a laptop with 8GB VRAM: real usable memory, quantization estimation, Q4 7B/8B model recommendations, Ollama setup, GPU offloading, and agent development tips.

Jul 16, 2026·2 min

GPU Sharing in Kubernetes Production: A Deep Dive into MIG, MPS, and Time-Slicing

A deep dive into MIG, MPS, and Time-Slicing GPU sharing solutions for Kubernetes production. Compare isolation, performance, and use cases to make the right choice.