Tag: AI Chips
-
Intel Names Crescent Island the GPU D-Series for AI Inference
On October 13, 2026, at the Open Compute Project (OCP) Global Summit, Intel gave its “Crescent Island” accelerator a product name — the Intel GPU D-series — and published the first set of headline performance figures for a card aimed squarely at AI inference rather than training. Built on Intel’s Xe3P architecture, the D-series combines […]
-
The 8 GB Accelerator That Becomes 64 GB: cmpunlocker v0.5
On 5 October 2026, the open-source project cmpunlocker released version 0.5, adding error-correcting code (ECC) on both DRAM and SRAM, and four more streaming multiprocessors (SMs), to a card it has spent more than a year re-enabling: the NVIDIA CMP 170HX. The board is a GA100 accelerator — the same Ampere die that sits in […]
-
Alibaba at Apsara 2026: Qwen 4 in Training, 10T Models Next
At its annual Apsara Conference in Hangzhou on September 22, 2026, Alibaba laid out the next stage of its model roadmap: Qwen 4 is now in training, and the Qwen 4.5 and Qwen 5 series that follow are projected to reach 5 to 10 trillion parameters. In the same keynote, Alibaba Group CEO Eddie Wu […]
-
Apple’s A20 Pro Doubles the Neural Engine to 32 Cores
On September 9, 2026, Apple announced the A20 Pro — the first smartphone SoC built on a 2-nanometer process, and the first A-series chip to ship a 32-core Neural Engine. Apple describes the design as a “Dual 16-core Neural Engine” delivering double the AI processing power of the A19 Pro, paired with a 50 percent […]
-
Apple’s M5 Ultra Mac Studio: 512GB of Unified Memory for Local AI
On August 25, 2026, Apple announced a new Mac Studio built around the M5 Max and the quad-die M5 Ultra — a desktop configurable with up to 512GB of unified memory and 1.2TB/s of memory bandwidth. Apple is pitching it explicitly at people running large language models locally: the company says the M5 Ultra configuration […]
-
Xiaomi Shows AI Cube Prototype: Three Chips, 1.22TB/s
Xiaomi unveiled the AI Cube Prototype at its Xuanjie chip technical briefing on August 24, 2026 — an engineering-sample mini PC built around three of the company’s own chips at once, aimed squarely at running large language models locally. The headline number is the 1.22 TB/s bandwidth of the new Xuanjie O100 accelerator, but the […]
-
Alibaba’s RISC-V C950 Runs Qwen3.8-27B at 30 Tokens/s, No GPU
Alibaba’s XuanTie team announced Day-0 support for Qwen3.8-27B on the C950 RISC-V processor on August 18, 2026 — a 27-billion-parameter dense model decoding at more than 30 tokens per second with a 1.9-second time-to-first-token, on CPU cores alone, with no GPU and no binary translation layer. The figures come from a 64-core C950 target configuration, […]
-
AMD Acquires Taalas, the Startup Etching LLMs Into Silicon
On August 6, 2026, AMD announced a definitive agreement to acquire Taalas — the Toronto startup whose chips abandon the idea of loading a model from memory altogether, and instead etch its weights permanently into the transistors themselves. Financial terms were not disclosed. The deal is subject to regulatory approval and is expected to close […]
-
Meituan Open-Sources LongCat-2.0, a 1.6T Model Trained on Chinese Chips
Meituan has open-sourced LongCat-2.0, a 1.6-trillion-parameter Mixture-of-Experts model that the Chinese food-delivery giant says is the first model of its scale to complete both pre-training and inference entirely on domestic AI chips. Released on June 30, 2026, LongCat-2.0 had already been quietly topping OpenRouter’s usage charts under the codename “Owl Alpha” before its identity was […]
-
OpenAI and Broadcom Unveil Jalapeño, a Custom LLM Inference Chip
OpenAI and Broadcom on June 24, 2026 unveiled Jalapeño, OpenAI’s first custom-designed silicon — an “Intelligence Processor” built from scratch for large language model inference. The chip is the first product of the companies’ 10-gigawatt accelerator partnership announced last October, and OpenAI says it was taken from initial design to manufacturing tape-out in just nine […]