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Korean Startup Takes On Cost and Latency With LLM-Specific Chip Thumb

AI computing shifts from training to inference; heterogeneous architectures go mainstream Thumb

[CEO Interview] Korean startup targets Nvidia-dominated AI inference market with 2027 chip launch Thumb

Media Coverage

Korean Startup Takes On Cost and Latency With LLM-Specific Chip

HyperAccel is also working with LG on an SoC version for edge appliances and robots. South Korean AI chip startup...

Media Coverage

AI computing shifts from training to inference; heterogeneous architectures go mainstream

As generative AI continues to advance, its capabilities and application scenarios are rapidly expanding, driving structural changes in computing infrastructure....

Media Coverage

[CEO Interview] Korean startup targets Nvidia-dominated AI inference market with 2027 chip launch

Hyper Accel CEO Kim Joo-young poses for a photo with the company’s first AI chip, codenamed Bertha 500, during an...

88 Articles

Announcements 2025-09-19

Beyond TFLOPS: Solving the Memory-Bound Challenge in LLM Inference

Korean News 2025-09-16

국가 AI전략위 분과위 구성 완료…고삼석 등 52명 추가 위촉

Announcements 2025-09-11

HyperAccel Wins Innovation Challenge Award at Startup Nation Korea

Korean News 2025-07-31

[CEO Interview] “AI 반도체는 GPU 대안 아닌 새로운 방향··· 메모리 접근해 LPU 차별화”

Media Coverage 2025-07-25

HyperAccel Enters On-device AI Market, Targeting Robots and Home Appliances

Startup Aims to Compete with NVIDIA in LLM Processing

Korean News 2025-07-24

“엔비디아에도 승산”…하이퍼엑셀, 로봇·가전 겨냥 ‘온디바이스AI’ 진출

Korean News 2025-07-04

“GPU보다 전력 적게 쓰고 성능 60%↑” KAIST 개발

Korean News 2025-07-01

‘넥스트 퓨리오사’ 찾아라…하이퍼엑셀·엑시나 주목

Announcements 2025-06-24

HyperAccel Showcases Breakthrough Research at ISCA 2025

Publications 2025-06-20

Hybe: GPU-NPU Hybrid System for Efficient LLM Inference with Million-Token Context Window

Published in: ISCA ’25: Proceedings of the 52nd Annual International Symposium on Computer Architecture Abstract: The growth of context window...

Announcements 2025-06-16

HyperAccel Unveils Adelia at VLSI Symposium 2025 — A 4nm LLM Accelerator Redefining Generative AI Inference

Publications 2025-06-08

Adelia: A 4nm LLM Accelerator with Streamlined Dataflow and Dual-Mode Parallelization for Efficient Generative AI Inference

Published in: 2025 Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)Authors: Jung-Hoon Kim; Sukbin Lim; Junseo Cha; Seungjae Moon; Dongjin Seo; Hunjong Lee Abstract:...

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