Analog AI Startup Mythic To Compute And Scale In Flash
A look at the IPU architecture of analog AI startup Mythic which attempts to significantly reduce the power consumption by computing directly in analog in flash.
Read moreA look at the IPU architecture of analog AI startup Mythic which attempts to significantly reduce the power consumption by computing directly in analog in flash.
Read moreAlibaba launches its own homegrown inference accelerator for their own cloud.
Read moreA deep dive into the custom-designed Tesla neural processing units integrated inside the company’s full self-driving (FSD) chip based on the Tesla Hot Chips 31 talk.
Read moreNvidia recently presented a research chip comprising dozens of chiplets that enables them to scale from milliwatts to hundreds of watts in order to cater to different markets such as edge, mobile, automotive, and data center.
Read moreAn initial look into Intel’s upcoming Nervana Neural Network Processor (NNP) accelerators.
Read moreBrainChip discloses Akida, a Neuromorphic System-on-Chip for the edge and server.
Read moreAn overview of the Xavier SoC which was detailed by Nvidia at Hot Chips 30.
Read moreWave Computing will be acquiring MIPS Technologies.
Read moreCambricon has announced their first high-performance and high-power AI accelerator for the data center in an effort to gain market share in the growing Chinese AI market.
Read moreAttempting to address the memory bandwidth problem, the QUEST neural processor uses 3D-stacked SRAM dies along with ThruChip Interface wireless communication technology to deliver sufficiently high bandwidth to sustain peak processing performance.
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