LongCat-2.0
Meituan's 1.6T-parameter open-source MoE coding model, trained end-to-end on 50,000 domestic Chinese ASICs, with native 1M token context and a 59.5 SWE-bench Pro score.
Articles Tagged "ASIC"
d-Matrix Corsair - In-Memory Inference Accelerator
d-Matrix Corsair is an SRAM-based in-memory compute ASIC in production since June 2026, targeting 10x faster and 5x more power-efficient LLM inference vs GPU baselines.
OpenAI Jalapeño - Custom LLM Inference ASIC
OpenAI's first custom AI chip, co-designed with Broadcom on TSMC 3nm, targeting 50% lower inference cost than GPU alternatives.
Etched Exits Stealth With Working Chip and $1B in Orders
Transformer ASIC startup Etched comes out of stealth with first-pass silicon on TSMC N4P, $800M raised, and more than $1B in signed customer contracts.
OpenAI Ships Jalapeño - Its First Custom AI Chip
OpenAI and Broadcom unveiled Jalapeño, a custom ASIC on TSMC's 3nm node with eight HBM stacks, targeting 50% cheaper inference than current GPU-based alternatives.
Meta MTIA 450: 18.4 TB/s Inference Accelerator
Meta's MTIA 450 doubles HBM bandwidth to 18.4 TB/s and adds FlashAttention hardware acceleration for GenAI inference in 2027.
Meta MTIA 400: GenAI Inference at Scale
Meta's second-gen ASIC delivers 6 PFLOPS FP8 and 288 GB HBM for GenAI and recommendation inference inside Meta's data centers.
Cerebras WSE-3 - The Wafer-Scale AI Engine
The Cerebras WSE-3 is the largest chip ever built - a TSMC 5nm wafer with 900,000 AI cores, 44GB SRAM, and 21 PB/s bandwidth. Now powering a $20B OpenAI deal and Amazon Bedrock deployments.
Qualcomm AI250 - Near-Memory Computing for Inference
The Qualcomm AI250 applies near-memory computing to the same 768GB LPDDR5X design as the AI200, promising 10x higher effective memory bandwidth and lower power for LLM inference at rack scale.
Rebellions RebelRack - 64 FP8 PFLOPs at 5 Kilowatts
The Rebellions RebelRack packs 32 Rebel100 chiplet NPUs with 4.5TB HBM3E and 153.6 TB/s aggregate bandwidth into a rack drawing just 5kW - roughly 4x the compute-per-watt of an H100 DGX.
TSMC Q1: $35.9B Record as AI Now Powers 61% of Revenue
TSMC posted $35.9B in Q1 2026 revenue, a 40.6% year-over-year jump, with AI and HPC now accounting for 61% of wafer sales - and CoWoS packaging still fully booked.
NVIDIA Groq 3 LPU - SRAM-Based Inference Engine
The NVIDIA Groq 3 LPU is a pure-SRAM inference chip delivering 150 TB/s memory bandwidth and 1.2 PFLOPS FP8 per chip, designed to pair with Vera Rubin GPUs for trillion-parameter model serving.
