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.
Articles Tagged "ASIC"
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.
Cerebras Launches $2B IPO Roadshow on Nasdaq
Cerebras Systems has kicked off a $2 billion IPO roadshow targeting a Nasdaq listing under ticker CBRS, anchored by a $10 billion compute contract with OpenAI.
Huawei Atlas 350 - China's FP4 Inference Accelerator
Huawei Atlas 350 specs, benchmarks, and analysis. Ascend 950PR chip, 112GB HiBL 1.0 HBM, 1.56 PFLOPS FP4, 600W - China's first domestically developed FP4-capable AI accelerator.
Microsoft Maia 200 - Azure's Inference Accelerator
Microsoft Maia 200 specs, benchmarks, and architecture analysis. TSMC 3nm, 216GB HBM3e, 10 PFLOPS FP4, 750W - Microsoft's first inference-only silicon deployed in Azure.
Percepta Builds a Computer Inside a Transformer
Percepta AI compiled a WebAssembly interpreter into transformer weights, executing programs deterministically at 33K tokens/sec on CPU - but the community is skeptical about the practical value.
Meta MTIA 300
Meta's first mass-deployed RISC-V AI accelerator - 1.2 PFLOPS FP8, 216 GB HBM, powering Facebook and Instagram at scale.
