저희는 암호화폐로 결제를 받습니다 — 보유하신 코인으로 실제 하드웨어를 구매하실 수 있습니다.암호화폐로 결제하고, 실제 하드웨어 구매에 사용하십시오. 전 세계 어디서나 US$399 이상 구매 시 무료 보험 배송. 무지 상자에 담아 독일에서 발송합니다.US$399 이상 구매 시 무료 보험 배송. 체크아웃을 시작하면 30분 동안 환율이 잠깁니다.30분간 환율 잠금. 모든 제품은 밀봉된 상태로 일련번호를 확인한 후 24개월 보증을 제공합니다.밀봉 포장, 24개월 보증.

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Black ThinkPad P53 mobile workstation, 15.6 inch display, closed lid

Lenovo

Lenovo ThinkPad P53 laptop i7-9750H 128GB 256GB NVME 2TB HDD 15.6 FHD Quadro T1000 4GB

SKU CH-2BSC-95WCJ

15.6-inch FHD IPS mobile workstation with 6-core i7-9750H, 128GB DDR4, 256GB NVME plus 2TB HDD and Quadro T1000 4GB graphics

  • ColorBlack
  • Other FeaturesFingerprint reader
  • Operating SystemLinux
  • CPU TypeIntel Core i7
  • Processor Name2.60 GHz
  • Turbo Frequency4.5
  • Hexa-core i7-9750H reaches 4.5 GHz for heavy workloads
  • 128 GB DDR4 handles large datasets and virtual machines
  • 256 GB NVME plus 2 TB HDD gives fast boot and vast storage
  • 6" FHD IPS at 500 nits with HDR Dolby Vision for accurate colour
  • Quadro T1000 4 GB certified for professional 3D and CAD applications

Mobile workstation with 128GB DDR4

The Lenovo ThinkPad P53 is a 15.6" mobile workstation powered by a 6-core Intel Core i7-9750H reaching 4.5 GHz. It combines 128GB DDR4 memory with dual storage: a 256GB NVME drive and a 2TB hard drive. The NVIDIA Quadro T1000 4GB GPU drives a 500-nit FHD IPS display. Linux Mint and a fingerprint reader are included.

For ISV-certified apps; not for gaming

This suits engineers and creators running ISV-certified CAD, CAE or data-science workloads that demand ECC-class stability and Quadro drivers. The 128GB RAM ceiling handles large assemblies and datasets. Buyers who want higher GPU compute for rendering or AI training should look at something else, as the T1000 4GB limits those workflows.

Quadro T1000 4GB VRAM decides fit

The single spec that decides suitability is the NVIDIA Quadro T1000 with 4GB video memory. It certifies the laptop for professional 3D applications but caps GPU-accelerated render and simulation performance. If your workflow needs more VRAM, this is not the right part.

주요 특징

  • Hexa-core i7-9750H reaches 4.5 GHz for heavy workloads
  • 128 GB DDR4 handles large datasets and virtual machines
  • 256 GB NVME plus 2 TB HDD gives fast boot and vast storage
  • 6" FHD IPS at 500 nits with HDR Dolby Vision for accurate colour
  • Quadro T1000 4 GB certified for professional 3D and CAD applications

사양

BrandThinkPad
SeriesP53
ModelThinkpad
Part Number20QN
ColorBlack
Other FeaturesFingerprint reader
Operating SystemLinux
CPU TypeIntel Core i7
Processor Name2.60 GHz
Turbo Frequency4.5
Number of Cores6-core Processor
CPU L2 Cache12MB
Screen Size15.6"
TouchscreenNon-Touch Screen
Wide Screen SupportYes
Display TypeFHD
Resolution1920 x 1080
Display FeaturesIn-plane Switching (IPS) Technology
GPU/VPUNVIDIA Quadro T1000
Video Memory4 GB
SSD256GB PCIe
HDD2 TB
Storage Spec256 GB NVME + 2 TB HDD
Memory128 GB
Memory SpeedDDR2666
LAN10/100/1000Mbps
WLAN802.11ax Wireless LAN
BluetoothBluetooth 5.1
USB2
Video Port1 x HDMI
HDMI1 x HDMI 2.0
Audio Ports1 x Headphone/Microphone Combo Jack
AudioIntegrated Sound card
SpeakerIntegrated Stereo Speakers
TouchpadThinkPad UltraNav
Backlit KeyboardBacklit
WebcamYes
Card Reader4-in-1
TypeWorkstation
AC Adapter/Charger170-watt AC Adapter
BatteryLithium Polymer
Dimensions (W x D x H)14.86x9.93x0.96
Weight5 - 5.9 lbs.

이 상품에 대한 질문

Should I pick the 256GB NVME plus 2TB HDD or a single larger NVME drive?

This unit ships with a 256GB NVME drive for the operating system and a 2TB hard drive for bulk storage, giving you fast boot times and ample space for large project files.

What does the 4.5GHz turbo frequency mean for daily rendering workloads?

The Intel Core i7-9750H can boost up to 4.5GHz on its six cores, accelerating single-threaded tasks such as viewport interaction and light compilation while the Quadro T1000 handles GPU-accelerated rendering.

How does the NVME interface affect real-world transfer speeds?

The 256GB NVME drive uses a PCIe-based interface, providing much higher throughput than older storage types so large datasets and applications load quickly.

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