Skyrocketing AI compute workloads and fixed power budgets are forcing chip and system architects to take a much harder look at compute in memory (CIM), which until recently was considered little more ...
GPU-class performance – The Gemini-I APU delivered comparable throughput to NVIDIA’s A6000 GPU on RAG workloads. Massive energy advantage – The APU delivers over 98% lower energy consumption than a ...
Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...
GSI Gemini-I APU reduces constant data shuffling between the processor and memory systems Completes retrieval tasks up to 80% faster than comparable CPUs GSI Gemini-II APU will deliver ten times ...
An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...
[CONTRIBUTED THOUGHT PIECE] Generative AI is unlocking incredible business opportunities for efficiency, but we still face a formidable challenge undermining widespread adoption: the exorbitant cost ...
Chip startup Mythic Inc. today announced that it has closed a $125 million funding round led by DCVC. The venture capital firm was joined by NEA, Softbank KR, Honda Motor Co. and a long list of other ...
New Marvell AI accelerator (XPU) architecture enables up to 25% more compute, 33% greater memory while improving power efficiency. Marvell collaborating with Micron, Samsung and SK hynix on custom ...
New-age AI-powered applications are becoming increasingly essential in our daily lives. Continuing to do so requires that these applications and services meet three primary challenges: Achieving high ...
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