DEPLOYDatabase

Robot model

Sapeon AI Chip

othercommercialby Sapeon

Sapeon South Korean AI inference chip for data centers.

Manufacturer
Sapeon
Form factor
other
Maturity
commercial
Lifecycle
active

Deploy Watch

Track Sapeon AI Chip on Deploy.

We notify you when a verified state change lands on the record, not when the company issues a claim.

Key facts

X220 performance (company-stated)

6.7 kilo-frames per second, about 1.5x faster than common inference GPUs, at 60 W (about 20% less power), per SK Telecom.

X220 target market (company-stated)

AI data-center acceleration; SK Telecom plans AIaaS pairing the chip with APIs for recommendation, voice, video and media upscaling.

Data & sources

Web sources

1

1 source backing this record.View all →

Pricing

No verified price is on record for Sapeon AI Chip. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.

Recent activity

Every change to this record is dated, sourced, and independently verified where marked.

Full change history →

Safety record

No incidents on record for Sapeon AI Chip.

Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.

Sources (1)

  1. https://www.sktelecom.com/en/press/press_detail.do?idx=1492

Common questions

What is Sapeon AI Chip?
Sapeon South Korean AI inference chip for data centers.
How much does Sapeon AI Chip cost?
Sapeon AI Chip's price is not publicly disclosed. DEPLOY has no verified price on record for Sapeon AI Chip from Sapeon. Physical-AI systems like this are often sold through enterprise contracts or operated as a service rather than at a public list price; check the manufacturer for the latest.
Is Sapeon AI Chip actually deployed in the real world?
Sapeon AI Chip is recorded at the commercial stage, but DEPLOY has no deployment verified at a named site yet; vendor deployment claims are not independently confirmed here. Manufacturer capability claims should be read as claims pending independent verification.
Who makes Sapeon AI Chip?
Sapeon AI Chip is made by Sapeon, based in South Korea.
Can you buy Sapeon AI Chip?
Sapeon AI Chip is in commercial deployment and is sold to operators; contact the manufacturer to buy, and see the pricing section for any recorded price.
What are alternatives to Sapeon AI Chip?
On the DEPLOY registry, comparable other robots to Sapeon AI Chip include Archer Midnight, Joby S4, ASML EUV TwinScan, 10Beauty Manicure System.
How does Sapeon AI Chip compare to Archer Midnight?
Sapeon AI Chip and Archer Midnight (Archer Aviation · 9 deployments) are both other robots on the DEPLOY registry. Sapeon AI Chip has 0 verified deployments on record. Compare both records for specs, safety, deployments, and verified-vs-claimed autonomy.
Is Sapeon AI Chip a top other?
On DEPLOY's intelligence score, which blends verified deployments, safety, adoption, media, and IP signals, Sapeon AI Chip ranks in roughly the top 42% of other models tracked by the registry.
What is Sapeon AI Chip's maturity stage?
Sapeon AI Chip is at the commercial stage on the DEPLOY maturity ladder (research, prototype, pilot, commercial, production). Commercial stage means production-grade deployments are operating at named customer sites.
Where is Sapeon AI Chip deployed?
No verified deployments of Sapeon AI Chip are currently on the DEPLOY registry. DEPLOY records deployments only when verified at a named site with a primary source; absence may reflect pre-deployment, research, or manufacturer-internal use.
Is Sapeon AI Chip safe?
Sapeon AI Chip has no incidents on record in the DEPLOY registry. This does not constitute a safety guarantee; it reflects the incidents DEPLOY has tracked and verified to date.
Methodology: Verified · 1 source (no primary) · last reviewed 2026-10-10

Verification posture

Verified

Low confidence

Review state

Stable

Last reviewed 2026-10-10

Maturity + lifecycle

Maturity stage: commercial

Lifecycle: active

Architectural position

Cohort: other

Sources by quality tier

1
unclassified
Unclassified source

The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.

Methodology surface for Sapeon AI Chip.