#speculative decoding

164 related articles

Jul 30, 2026·2 min

Claude Opus 5 Released: Performance Leap at Half the Price, the New Foundation for AI Agents

Anthropic releases Claude Opus 5 flagship model, delivering near-top-tier intelligence at half the price, focused on long-running Agents, coding, and professional work scenarios.

Jul 30, 2026·3 min

Is LLM Inference Really That Expensive? Breaking Down the Cost Reduction Logic of GPU Compute and Inference Frameworks

Analyzing real LLM inference costs: from B200 GPU compute gains, vLLM framework optimization to MTP multi-token prediction, explaining why serving costs are widely overestimated.

Jul 29, 2026·3 min

Self-Hosting Kimi K3: Is Spending 20% More on Hardware Worth a 20% Improvement in Task Performance?

Analysis of whether spending 20% more on hardware for self-hosting Kimi K3 to gain 20% task performance improvement is worthwhile, covering inference precision, VRAM optimization, and tiered deployment.

Jul 29, 2026·2 min

Real User Feedback: Claude Opus 5 vs Gemini 3.1 Pro — Does Speed Determine the Experience?

A Reddit user's hands-on comparison of Claude Opus 5 vs Gemini 3.1 Pro reveals that response speed and interaction fluidity may matter more than raw intelligence in choosing an LLM.

Jul 29, 2026·3 min

Is LLM Inference Actually Profitable? Breaking Down the Cost Structure and Business Logic of Large Model Inference

A deep dive into LLM inference cost structure and profitability models—from GPU throughput, MoE architecture, and KV Cache to scale effects—revealing the business logic behind API price wars.

Jul 28, 2026·3 min

Kimi K3 Reaches 2.5T Parameters, MiniMax M3 Pro Brewing Simultaneously: China's LLM Arms Race Escalates

Kimi K3 adopts new architecture with 2.5T parameters and 1M token context. MiniMax M3 Pro targets 2.7-3T. OpenAI surpasses 7M users, HY-OCR 1.5 achieves SOTA, Amap launches world model.

Jul 28, 2026·2 min

Kimi 3 Added to Pro Subscription: Accelerating Commercialization of Chinese LLMs

Kimi 3 joins the Pro subscription plan, giving paying users direct access to the latest flagship model. Analysis of Kimi 3's upgrades, Moonshot AI's subscription strategy, and China's evolving LLM landscape.

Jul 28, 2026·2 min

Kimi 3 Included in Pro Subscription: Accelerating Commercialization of Chinese LLMs

Kimi 3 is now included in the Pro subscription plan, giving paying users direct access to the latest flagship model. This article analyzes Kimi 3's upgrades, Moonshot AI's subscription strategy, and shifts in China's LLM competitive landscape.

Jul 28, 2026·4 min

Cursor Start India Plan at ₹649/Month: Decoding the Regional Pricing Strategy for AI Coding Tools

Cursor launches its Start plan for India at ₹649/month (~$7.70), featuring Grok 4.5 and Composer Agent. A deep dive into the PPP pricing strategy and its market implications.

Jul 28, 2026·4 min

Colibri: Running a 744-Billion-Parameter LLM on an Ordinary Laptop

Colibri uses MoE hot-cold separation and 4-bit quantization to run 744B-parameter models like GLM 5.2 on consumer hardware. Learn about its three-tier memory architecture and speculative decoding.

Jul 28, 2026·4 min

Laguna S 2.1 Deep Dive: Hands-On Local Deployment of a 118B Parameter Coding Model

In-depth review of Poolside's Laguna S 2.1 open-source coding model: MoE architecture, RL training, DGX Spark local deployment, and real-world agentic coding tests with 8B active parameters.

Jul 27, 2026·3 min

Claude Opus 5 Officially Released: Performance Approaching the Top Tier as the Open-Weight Debate Heats Up Again

Anthropic releases Claude Opus 5 with near-frontier performance at lower prices. Same day, Jensen Huang co-signs open-weight letter with 20+ companies while DeepSeek fundraising rumors surface.

Jul 27, 2026·2 min

DeepSeek V4 Official Release Imminent: What 1.6 Trillion Parameters Really Means

DeepSeek V4 official release is imminent. V4 Pro features 1.6 trillion parameters with million-character context. Explore the D-SPARK acceleration framework, dynamic pricing, and V4's leap to production-grade AI.

Jul 27, 2026·2 min

Google Flash and Flash-Lite Models Upgraded and Live: A New Lightweight, High-Efficiency AI Option

Google rolls out upgraded 3.6 Flash and 3.5 Flash-Lite models. Learn about the Flash series' positioning, upgrade highlights, and value for developers.

Jul 27, 2026·3 min

Opus 5 Hands-On: Powerful but Slow — Inference Speed Becomes the New AI Battleground

An AI practitioner tests Opus 5: powerful capabilities but painfully slow inference. Deep analysis of how LLM competition is shifting from intelligence to inference speed.

Jul 25, 2026·2 min

DSpark: DeepSeek and Peking University Open-Source Inference Acceleration Tech with Up to 85% Speed Boost

DeepSeek and Peking University open-source DSpark, an inference acceleration tech boosting single-user generation speed by 57%-85% under high concurrency. Learn its 3 core designs and the DSpec framework.

Jul 25, 2026·2 min

DSpark: DeepSeek Partners with Peking University to Open-Source Inference Acceleration, Boosting Speed by Up to 85%

DeepSeek partners with Peking University to open-source DSpark, an inference acceleration tech boosting single-user speed by 57%-85% under high concurrency. Learn its three core designs and the DSpec framework.

Jul 25, 2026·2 min

D-Flash: How Diffusion Drafting Delivers 3.5x Faster LLM Inference

D-Flash solves the autoregressive drafter latency bottleneck in speculative decoding via fast diffusion parallel drafting and target feature KV injection. 16 tokens in just 6ms, up to 3.5x speedup on HumanEval, beating EAGLE3 and MTP.

Jul 25, 2026·3 min

D-Flash: The Secret Behind 3.5x LLM Inference Speedup with Diffusion Drafting

D-Flash uses fast diffusion parallel drafting and target feature KV injection to solve the autoregressive Drafter latency bottleneck in speculative decoding. 16 tokens in just 6ms, up to 3.5x speedup on HumanEval, surpassing EAGLE3 and MTP.

Jul 25, 2026·3 min

Laguna S 2.1: The Open-Source Coding Model That's 14x Smaller Yet Stronger

Poolside releases Laguna S 2.1, an open-source agentic coding model: 118B total params with only 8B active, scoring 40.4% on DeepSWE — ~4.5x DeepSeek V4 Pro Max. Supports 1M-token context, deployable on a single workstation.