ASIC Inference Chip Runs Llama 3.1 8B at 16,000 tok/s
Startup Taalas achieves 16,000 tok/s on Llama 3.1 8B using custom ASIC chips without GPUs. We analyze the shift away from GPU dependency and the inference cost revolution.
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Consistency Diffusion Language Models
Together AI introduces CDLM, boosting diffusion language model inference up to 14x faster while maintaining quality. Block-wise parallel generation with KV caching is the key breakthrough.
Gemini 3.1 Pro Release — Performance Analysis and Claude Comparison
Google releases Gemini 3.1 Pro with 77.1% on ARC-AGI-2, doubling reasoning performance. We analyze benchmarks, compare with Claude, and explore multimodal evolution.
IQ*_K/IQ*_KS Quantization Merged into llama.cpp
IQ-series quantization methods developed in ik_llama.cpp are being merged into llama.cpp mainline. Learn about IQ2_K through IQ4_KS precision improvements and local LLM inference optimization.
Qwen3 Coder Next llama.cpp Graph Optimization
ggerganov restructures the llama.cpp compute graph to achieve up to 38% inference speedup for the Qwen3 Coder Next 80B model. Detailed benchmark analysis and technical breakdown.
DDR5 RDIMM vs RTX 3090 — The Cost-per-GB Tipping Point for Local LLMs
DDR5 RDIMM pricing has dropped below RTX 3090 VRAM per GB, marking a turning point in local LLM hardware decisions. We analyze CPU vs GPU inference cost structures.
Devstral Small 2 24B & Qwen3 Coder 30B
Mistral Devstral Small 2 24B and Qwen3 Coder 30B arrive simultaneously. A comparative analysis of small coding models that run on Raspberry Pi and the future of local AI coding.
Kitten TTS V0.8: Sub-25MB SOTA Speech for Edge Devices
A deep dive into Kitten TTS V0.8 — a 14M parameter, sub-25MB text-to-speech model matching cloud TTS quality. Analysis of edge deployment potential and the local voice AI trend.
$30 Radio + Local AI = Internet-Free Smart Home
Analyzing a real-world project that achieves voice control and smart home automation without internet using just a Mac mini and a $30 LoRa radio. A deep dive into local AI × IoT implementation and costs.
BarraCUDA: Open-Source Compiler Running CUDA on AMD GPUs
BarraCUDA compiles CUDA to AMD GPU binary — no LLVM or HIP. 15,000 lines of C99 cover shared memory, atomics, warp intrinsics. A direct challenge to NVIDIA GPU vendor lock-in.
Claude Sonnet 4.6: Anthropic's Mid-Tier Model Strategy
Claude Sonnet 4.6 analysis: model versioning strategy, performance vs Opus and Haiku, API cost changes, and upgrade guidance for developers building on Claude.
DeepSeek V4 Imminent — China's Next-Gen AI Race Speeds Up
As DeepSeek V4 approaches, Qwen3.5 and GLM-5 keep pace. Reasoning gains over R1, benchmark comparisons, and how open LLMs nearing GPT-4 reshape the global AI landscape.