Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost ...

Memory prices are softening after Google figured out a way to make memory usage more efficient. Is this the death knell for ...

This is really where TurboQuant's innovations lie. Google claims that it can achieve quality similar to BF16 using just 3.5 ...

Firmware and software updates are both essential for keeping your devices healthy. Here's how they're different and why you ...

Is increasing VRAM finally worth it? I ran the numbers on my Windows 11 PC ...

Turbo Quant Doesn't Impact DIMM Count If compression doesn't cross a DIMM boundary, it has zero hardware impact The Market Overreaction Google's TurboQuant has triggered a sharp reaction across ...

Nine X3D CPUs, two platforms, and 14 games tested. We compare every Ryzen 5 and 7 X3D processor to find out how much performance has improved ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

Macworld explains how Apple uses “binned” chips—processors with disabled cores due to manufacturing defects—to create more ...