Efficient Computer

Jinfu Technology has raised $44 million in new funding that it will use to expand its liquid-cooling business. The company supplies cooling technology increasingly needed for data centres and high-performance computing, where rising energy demands are driving demand for more efficient thermal management. The investment signals continued investor interest in infrastructure supporting AI-driven computing growth.

Seoul National University Holdings has made a seed investment in AI startup Bystrata, whose technology aims to reduce dependency on GPUs for artificial intelligence workloads. The move reflects growing interest among university-affiliated investors in efficiency-focused AI infrastructure as hardware costs and chip shortages weigh on the sector.

TileLang, a domain-specific language for writing high-performance kernels for GPUs, CPUs and other accelerators, is drawing attention among developers. Written in Python, it aims to simplify kernel development that would otherwise require low-level tuning. Interest is focused on its potential to make AI and scientific computing workloads faster to build and easier to optimize across hardware platforms.

OpenAI's GPT-6.1 Sol model is seeing a sharp rise in demand, with the company pointing to significant efficiency gains as a key driver. The update is being discussed as a notable step in reducing compute costs while maintaining performance, keeping OpenAI at the center of the ongoing race among AI labs to ship faster, cheaper frontier models.

Cornell researcher McMahon has received an award from the Gordon and Betty Moore Foundation to support work on programmable photonic chips. The funding backs research into optical computing hardware that can be reconfigured for different tasks, an area seen as promising for faster, more energy-efficient processing. The recognition highlights growing investment in photonics as an alternative to conventional electronics.

A developer known as lostmsu has released TurboGPT, an open-source project on GitHub that trains a compact 22KiB transformer model in roughly 13 seconds. The tool is drawing attention from machine learning enthusiasts interested in fast, lightweight training experiments that can run without large compute budgets.

Startup Efficient Computer has raised a $97 million Series B funding round, valuing the company at $650 million. The chip maker's latest fundraising signals continued investor interest in energy-efficient computing hardware. Details on lead investors and plans for the capital have not yet been widely reported, but the round places the young company among the more valuable recent semiconductor startups.

Efficient Computer, a startup developing low-energy chips, has closed $97 million in funding. The company is working on processor designs aimed at dramatically cutting power consumption, an area drawing growing investor interest as demand for energy-efficient computing rises alongside AI workloads.

Chip startup Efficient Computer has raised $97 million in funding at a $650 million valuation, according to Reuters. The Pittsburgh-based company is developing energy-efficient general-purpose processors, a field attracting growing investor interest as demand for computing power rises. The funding round puts the young semiconductor firm among the notable new players challenging established chipmakers.

Optical interconnect startup CScale has come out of stealth, revealing investment from Nvidia and Intel. The company is developing optical interconnect technology aimed at improving data transmission between chips, a key area as AI data centers demand faster, more energy-efficient networking. Backing from both major chipmakers signals strong industry interest in next-generation optical connectivity for large-scale computing.

Researchers have developed an AI system powered by light rather than conventional electronics that can identify deepfake images with nearly 98% accuracy. The optical computing approach could offer a faster, more energy-efficient way to fight AI-generated disinformation as fake media becomes harder to distinguish from real content.

Semiconductor startup Efficient Computer has raised $100 million in funding at a $650 million valuation, according to Reuters and other outlets. The company is working on energy-efficient processor designs, an area attracting growing investor interest as demand for computing power strains power grids and data centre budgets. The funding round was widely reported across business and technology media.

A startup specializing in optical interconnect technology for AI scale-up systems has secured backing from both Nvidia and Intel, according to industry outlet DigiTimes. The investment signals growing interest in optical solutions to handle the massive data bandwidth demands of AI computing clusters, as chipmakers look beyond traditional copper connections for faster, more energy-efficient links between processors.

The Wall Street Journal has published a review of 'The Proof in the Code', describing it as a 'lean, mean computing machine'. The review suggests the book offers a tight, efficient take on computing and its ideas, and is now drawing reader attention following the write-up.