AI 프로덕션 레이어
GPU 가속. CPU 우회. 전력 절감.
스카일리움은 CPU 병목을 제거하고 GPU 경로를 직접 연결하는 세계 최초의 GPU 네이티브 엔진으로, GPU 굶주림을 해결하고 저전력으로 산업급 성능을 구현합니다.
SCAILIUM is the world’s first GPU-native software engine that collapses CPU-bound pipelines into a direct GPU path, eliminating GPU starvation and delivering industrial-scale throughput at a fraction of the energy
AI 프로덕션 레이어
GPU 가속. CPU 우회. 전력 절감.
스카일리움은 CPU 병목을 제거하고 GPU 경로를 직접 연결하는 세계 최초의 GPU 네이티브 엔진으로, GPU 굶주림을 해결하고 저전력으로 산업급 성능을 구현합니다.
SCAILIUM is the world’s first GPU-native software engine that collapses CPU-bound pipelines into a direct GPU path, eliminating GPU starvation and delivering industrial-scale throughput at a fraction of the energy
AI 프로덕션 레이어
GPU 가속. CPU 우회. 전력 절감.
스카일리움은 CPU 병목을 제거하고 GPU 경로를 직접 연결하는 세계 최초의 GPU 네이티브 엔진으로, GPU 굶주림을 해결하고 저전력으로 산업급 성능을 구현합니다.
SCAILIUM is the world’s first GPU-native software engine that collapses CPU-bound pipelines into a direct GPU path, eliminating GPU starvation and delivering industrial-scale throughput at a fraction of the energy
AI 프로덕션 레이어
GPU 가속. CPU 우회. 전력 절감.
스카일리움은 CPU 병목을 제거하고 GPU 경로를 직접 연결하는 세계 최초의 GPU 네이티브 엔진으로, GPU 굶주림을 해결하고 저전력으로 산업급 성능을 구현합니다.
SCAILIUM is the world’s first GPU-native software engine that collapses CPU-bound pipelines into a direct GPU path, eliminating GPU starvation and delivering industrial-scale throughput at a fraction of the energy
AI 프로덕션 레이어가 필수인 이유
Why the AI Production
Layer is Mandatory.
Physics-Aligned Architecture
We do not bolt "GPU mode" onto legacy CPUs. Our engine is GPU-native from ingest to inference. We align data velocity with silicon speed, ensuring continuous throughput for the AI Factory.
Total Silicon Utilization
Maximum Throughput Per Watt
Deterministic Data Supply
Zero-Copy Direct Dataflow
Amplify, Don't Replace
Physics-Aligned Architecture
We do not bolt "GPU mode" onto legacy CPUs. Our engine is GPU-native from ingest to inference. We align data velocity with silicon speed, ensuring continuous throughput for the AI Factory.
Total Silicon Saturation
Maximum Throughput Per Watt
Deterministic Data Supply
Zero-Copy Direct Dataflow
Amplify, Don't Replace
Physics-Aligned Architecture
We do not bolt "GPU mode" onto legacy CPUs. Our engine is GPU-native from ingest to inference. We align data velocity with silicon speed, ensuring continuous throughput for the AI Factory.
Total Silicon Saturation
Maximum Throughput Per Watt
Deterministic Data Supply
Zero-Copy Direct Dataflow
Amplify, Don't Replace
Physics-Aligned Architecture
We do not bolt "GPU mode" onto legacy CPUs. Our engine is GPU-native from ingest to inference. We align data velocity with silicon speed, ensuring continuous throughput for the AI Factory.
Total Silicon Saturation
Maximum Throughput Per Watt
Deterministic Data Supply
Zero-Copy Direct Dataflow
Amplify, Don't Replace
Physics-Aligned Architecture
We do not bolt "GPU mode" onto legacy CPUs. Our engine is GPU-native from ingest to inference. We align data velocity with silicon speed, ensuring continuous throughput for the AI Factory.
Total Silicon Saturation
Maximum Throughput Per Watt
Deterministic Data Supply
Zero-Copy Direct Dataflow
Amplify, Don't Replace
기술 분석: 스카일리움 실리콘 활용 아키텍처
스토리지 제로-카피 로드
직접 읽기 기반 데이터 수집
원시 데이터
원시 데이터
원시 데이터
원시 데이터
실리콘 활용도
실리콘 활용도
실리콘 활용도
실리콘 활용도
병렬 파싱, 토큰화 및 큐레이션
데이터 변환
지속적 제공
런타임 주입
CUDA-X
NVIDIA AI 인프라
스카일리움은 마법이 아닌 탁월한 물리 기술입니다. GPU 네이티브 구조로 병목을 우회해 연산 계층에서 대규모 데이터를 직접 처리합니다. 기존 파이프라인과 통합되어 GPU 실리콘을 전면 활용하며, 제로-카피 핸드오프로 모델 대기 시간을 없앱니다. 그 결과 AI 팩토리는 실리콘 활용도를 극대화합니다.
스카일리움을 통한 혁신 사례
Pharma & Life Sciences
Parallel Discovery at Scale
100 % R&D data unified
Researchers merge bioinformatics, clinical, and supply data on GPUs, run parallel AI searches, and spot drug targets three times faster, speeding trials and delivering life-changing therapies sooner.
100 % R&D data unified
Pharma & Life Sciences
Parallel Discovery at Scale
100 % R&D data unified
Researchers merge bioinformatics, clinical, and supply data on GPUs, run parallel AI searches, and spot drug targets three times faster, speeding trials and delivering life-changing therapies sooner.
100 % R&D data unified
Pharma & Life Sciences
Parallel Discovery at Scale
100 % R&D data unified
Researchers merge bioinformatics, clinical, and supply data on GPUs, run parallel AI searches, and spot drug targets three times faster, speeding trials and delivering life-changing therapies sooner.
100 % R&D data unified
Pharma & Life Sciences
Parallel Discovery at Scale
100 % R&D data unified
Researchers merge bioinformatics, clinical, and supply data on GPUs, run parallel AI searches, and spot drug targets three times faster, speeding trials and delivering life-changing therapies sooner.
100 % R&D data unified
Manufacturing
Predictive Quality & Uptime
93%
faster defect analysis
A GPU-native platform ingests petabyte sensor streams, runs live AI models, and flags flaws before stoppages. Teams shift from reactive fixes to predictive control, cutting downtime, scrap, and server footprint.
93 % faster defect analysis
Manufacturing
Predictive Quality & Uptime
93%
faster defect analysis
A GPU-native platform ingests petabyte sensor streams, runs live AI models, and flags flaws before stoppages. Teams shift from reactive fixes to predictive control, cutting downtime, scrap, and server footprint.
93 % faster defect analysis
Manufacturing
Predictive Quality & Uptime
93%
faster defect analysis
A GPU-native platform ingests petabyte sensor streams, runs live AI models, and flags flaws before stoppages. Teams shift from reactive fixes to predictive control, cutting downtime, scrap, and server footprint.
93 % faster defect analysis
Manufacturing
Predictive Quality & Uptime
93%
faster defect analysis
A GPU-native platform ingests petabyte sensor streams, runs live AI models, and flags flaws before stoppages. Teams shift from reactive fixes to predictive control, cutting downtime, scrap, and server footprint.
93 % faster defect analysis
Finance
Near-Real-Time Risk & Offers
89%
faster customer scoring
89 % faster customer scoring
One GPU engine unifies sixty million customer records, lets risk scores run in seconds, and feeds near-real-time inference to marketing so every offer lands while the customer is still online.
Finance
Near-Real-Time Risk & Offers
89%
faster customer scoring
89 % faster customer scoring
One GPU engine unifies sixty million customer records, lets risk scores run in seconds, and feeds near-real-time inference to marketing so every offer lands while the customer is still online.
Finance
Near-Real-Time Risk & Offers
89%
faster customer scoring
89 % faster customer scoring
One GPU engine unifies sixty million customer records, lets risk scores run in seconds, and feeds near-real-time inference to marketing so every offer lands while the customer is still online.
Finance
Near-Real-Time Risk & Offers
89%
faster customer scoring
89 % faster customer scoring
One GPU engine unifies sixty million customer records, lets risk scores run in seconds, and feeds near-real-time inference to marketing so every offer lands while the customer is still online.
Supply-Chain & Tariffs
Full-Scale Risk Simulation
100%
data,
zero sampling
Planners load full SKU histories into GPUs and run what-if tariff and delay models in minutes. No sampling, just complete data driving margin-safe decisions before turbulence hits.
100 % data, zero sampling
Supply-Chain & Tariffs
Full-Scale Risk Simulation
100%
data,
zero sampling
Planners load full SKU histories into GPUs and run what-if tariff and delay models in minutes. No sampling, just complete data driving margin-safe decisions before turbulence hits.
100 % data, zero sampling
Supply-Chain & Tariffs
Full-Scale Risk Simulation
100%
data,
zero sampling
Planners load full SKU histories into GPUs and run what-if tariff and delay models in minutes. No sampling, just complete data driving margin-safe decisions before turbulence hits.
100 % data, zero sampling
Supply-Chain & Tariffs
Full-Scale Risk Simulation
100%
data,
zero sampling
Planners load full SKU histories into GPUs and run what-if tariff and delay models in minutes. No sampling, just complete data driving margin-safe decisions before turbulence hits.
100 % data, zero sampling
Telecommunications
Near-Real-Time Network Insight
faster queries
x60
Live network logs flow straight into GPUs where AI diagnostics return in a minute. Engineers spot anomalies in near-real-time, tune capacity, and keep customers streaming without network blind spots.
×60 faster queries
Telecommunications
Near-Real-Time Network Insight
faster queries
x60
Live network logs flow straight into GPUs where AI diagnostics return in a minute. Engineers spot anomalies in near-real-time, tune capacity, and keep customers streaming without network blind spots.
×60 faster queries
Telecommunications
Near-Real-Time Network Insight
faster queries
x60
Live network logs flow straight into GPUs where AI diagnostics return in a minute. Engineers spot anomalies in near-real-time, tune capacity, and keep customers streaming without network blind spots.
×60 faster queries
Telecommunications
Near-Real-Time Network Insight
faster queries
x60
Live network logs flow straight into GPUs where AI diagnostics return in a minute. Engineers spot anomalies in near-real-time, tune capacity, and keep customers streaming without network blind spots.
×60 faster queries
1.8조 달러 AI 경제의 데이터 속도 문제
The $1.8 Trillion AI Economy Has a Data Speed Problem
The $1.8 Trillion AI Economy Has a Data Speed Problem
향후 10년의 제약은 코드가 아닌 전력(W)입니다. 데이터 센터는 전력 한계에 부딪혔고, 인프라가 공급량보다 많은 에너지를 쓰면 시장은 성장할 수 없습니다.
스카일리움은 와트당 처리량을 극대화합니다. 에너지 낭비를 벡터화된 처리량으로 대체해 기존 전력 범위 내에서 지능을 확장할 수 있게 합니다.
우리는 AI 경제를 물리적으로 실현 가능하게 만드는 효율 계층을 구축했습니다.
The enterprise AI and Big Data market is projected to exceed $1.8 trillion by 2030, yet most companies can't analyze their massive datasets fast enough to keep up.
What if your biggest data, AI or ML challenges became your greatest competitive advantage?
Our team of pioneers built the engine to make that possible.
자주 묻는 질문
스카일리움이란 무엇인가요?
스카일리움이란 무엇인가요?
스카일리움이란 무엇인가요?
스카일리움이란 무엇인가요?
What is the AI Production Layer?
What is the AI Production Layer?
What is the AI Production Layer?
What is the AI Production Layer?
How do I fix low GPU utilization (Silicon Starvation)?
How do I fix low GPU utilization (Silicon Starvation)?
How do I fix low GPU utilization (Silicon Starvation)?
How do I fix low GPU utilization (Silicon Starvation)?
How does SCAILIUM accelerate model training and inference?
How does SCAILIUM accelerate model training and inference?
How does SCAILIUM accelerate model training and inference?
How does SCAILIUM accelerate model training and inference?
Can SCAILIUM cope with petabyte-scale data?
Can SCAILIUM cope with petabyte-scale data?
Can SCAILIUM cope with petabyte-scale data?
Can SCAILIUM cope with petabyte-scale data?
Does SCAILIUM replace my Data stack?
Does SCAILIUM replace my Data stack?
Does SCAILIUM replace my Data stack?
Does SCAILIUM replace my Data stack?
How does SCAILIUM reduce TCO?
How does SCAILIUM reduce TCO?
How does SCAILIUM reduce TCO?
How does SCAILIUM reduce TCO?
What is an "AI Factory"?
What is an "AI Factory"?
What is an "AI Factory"?
What is an "AI Factory"?
How do I double my effective GPU capacity without buying more hardware?
How do I double my effective GPU capacity without buying more hardware?
How do I double my effective GPU capacity without buying more hardware?
How do I double my effective GPU capacity without buying more hardware?
Industrialize Your AI Factory
Deploy the GPU-native backbone that eliminates the serialization tax
and guarantees your compute never starves.
