An engineer's analysis reveals that LLM inference throughput on NVIDIA GPUs is bottlenecked by memory bandwidth, not compute. A 7B model achieves ~15 tok/s on a T4 but over 3,500 tok/s on an H100, a 1…
A hyper-optimized, zero-dependency C/CUDA inference engine for the Qwen 3.6 35B model on RTX 5090 Blackwell GPUs achieves 13.4k tokens/sec prefill throughput at 2,048 context depth and 270+ tokens/sec…
INT21 defines a new category called Self-Improving Compute Infrastructure, where AI agent swarms continuously improve the software that AI runs on, starting with GPU kernels. The company argues that i…
AMD has integrated an NVFP4 emulation pipeline into vLLM that enables AMD Instinct MI355 accelerators to serve standard NVFP4 quantized checkpoints directly, dequantizing weights to BF16 on-the-fly at…
NVIDIA published a new CPU category on 7 July with Vera, an Arm server CPU designed to address the agentic-AI bottleneck by maximizing single-threaded performance rather than core density. In testing …
SK Hynix raised $26.5 billion in the largest foreign IPO in US history, signaling investor demand for memory chips over GPUs. NVIDIA's stock fell 15% while memory maker Micron tripled, and H100 GPU re…
Developer Martin Piaggi released Summarize, an open-source tool that converts videos from YouTube, TikTok, Instagram, and other sources into structured notes using AI transcription and LLM summarizati…
NVIDIA unveiled a new hardware-friendly design for large language models on October 2023, claiming it can dramatically enhance AI processing speeds by optimizing models for its own GPUs. The approach …
A benchmark comparing Ollama and llama-server on a Tesla V100 found that both backends achieve nearly identical token generation speeds (about 111 tok/s), but llama-server processed prompts 22% faster…
Elon Musk's xAI launched Grok 4.5, a coding-focused AI model that claims to use 4.2x fewer output tokens than Anthropic's Opus 4.8 on benchmarks, priced at $2 per million input tokens and $6 per milli…
A developer deployed vLLM locally on two NVIDIA RTX 5060 Ti 16GB GPUs using Docker Compose, configuring tensor parallelism, FP8 KV cache, and speculative decoding with MTP. The setup runs an OpenAI-co…
Mariana Souza published a practical guide for fine-tuning Qwen2.5-7B-Instruct using QLoRA on custom instruction datasets, including cost estimates and a loss-masking sanity check. The tutorial covers …
NVIDIA's DGX Spark desktop GPU, with 128 GB unified memory and a 140W ARM64 processor, challenges API developers to shift from cloud-based AI consumption to local systems engineering. The device's sha…
OpenAI released GPT-5.6, a three-model family with a new durable capability tier, and GPT-Live, a full-duplex voice model. Meta launched Muse Spark 1.1, an agent-focused model, prompting CEO Mark Zuck…
A software engineer and technical program manager documents the first week of a 32-week journey from AI-API consumer to local LLM systems architect using an NVIDIA DGX Spark. The engineer inventories …
TradingSpy, an open-source, local-first AI trading assistant, has been released. The tool provides market heatmaps, news catalysts, strategy generation, and backtesting in a single Docker application,…
AIC unveiled the F2032-01-G6 JBOF server at Computex, a 2U storage appliance holding 32 PCIe Gen6 E3 SSDs for up to 8PB of capacity, designed for AI key-value caching. The system uses Broadcom's 144-l…
Advanced Energy Industries launched the ADH series of DC-DC converters for 800 V DC power architectures in AI data centers, achieving 98.2% peak efficiency and up to 8 kW output. The converters addres…
SK Hynix raised approximately $26.5 billion through its American Depositary Receipt offering, the largest US listing by a foreign company in history, signaling strong investor demand for AI-related me…
Virtual gyms are high-fidelity simulation environments that train robots using digital twins, synthetic data, and reinforcement learning, offering a safer and more cost-effective alternative to real-w…