ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.
M4 Pro: Supports up to 24GB of RAM and features a higher memory bandwidth of 273 GB/s compared to the M5’s 153 GB/s. This ...
The Seeker quantum processor from Quantum Circuits now supports Nvidia's CUDA-Q, enabling developers to combine quantum ...
The package, RapidFire AI RAG, extends the company’s “hyperparallel experimentation framework” to allow developers to ...
I talked with Dr. Sebastian Bauer, CEO at Ubicept, about the company’s flexible light acquisition and representation engine ...
Nvidia becomes the world’s first $5 trillion company, but experts question CEO Jensen Huang’s claims that the firm foresaw ...
Intel Core Ultra CPUs enable the operation of local AI solutions. This allows users to utilize AI solutions without having to ...
Groq’s novel chip architecture that speeds up AI inferencing has attracted a fast-growing developer base as it plans its ...
A startup hopes to challenge Nvidia, AMD, and Intel with a chip that wrangles probabilities rather than 1s and 0s.
XDA Developers on MSN
I repurposed my old GPU for self-hosted AI and it changed my life
Home Assistant is known for many things, including its terrific compatibility with popular smart tools, amazing automation ...
The Prime Minister’s Laptop Scheme 2025 empowers students across Pakistan distributing modern MECHREVO R14P laptops.
Though much of the current hype around ‘AI PCs’ is marketing, building blocks are being put in place that could make future ...
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