AI Hardware

Chips, accelerators, and AI infrastructure.

Liquid AI Releases LFM2.5-VL-3B-DSpark: Speculative Decoding for Vision-Language Models With Up to 3.13x Faster Decoding↗

Liquid AI has released LFM2.5-VL-3B-DSpark, a 279.5M-parameter draft model that brings speculative decoding to its LFM2.5-VL-3B vision-language model. It delivers up to 3.13x faster decoding on Apple M5 Max and 2.66x on H100, with identical output under greedy decoding. Support ships in llama.cpp, MLX-VLM, and SGLang. The post Liquid AI Releases LFM2.5-VL-3B-DSpark: Speculative Decoding for Vision-Language Models With Up to 3.13x Faster Decoding appeared first on MarkTechPost .

13h agoMarkTechPost

TechCrunch — AIAI Hardware

Crusoe abandons $1.25B plan to use Boom turbines at AI data centers↗

Boom Supersonic CEO Blake Scholl said the company's new stationary power plants were no longer in Crusoe's near-term plans.

13h agoTechCrunch — AI

TechCrunch — AIAI Hardware

Ahead of US IPO, British AI neocloud Nscale secures $3.36B in convertible financing↗

The funding, which comes from Third Point, Nvidia, and others, will fuel the company's massive AI data center buildout.

18h agoTechCrunch — AI

OfficialAI Hardware

Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps↗

Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps

3w agoHugging Face Blog

MIT Technology Review — AIAI Hardware

Building the materials foundation for AI↗

The AI boom is becoming a materials challenge. As AI pushes computing into new territory, the materials behind that infrastructure are becoming just as crucial as the algorithms running on it. Semiconductors and data centers are approaching physical limits around performance, thermal management, electrical efficiency, and reliability, creating new demands for materials that can do…

1w agoMIT Technology Review — AI