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Nvidia Dgx Spark GB10 Workstation Ai Supercomputer for Llm Development 128g 4tb
US$4,800.00
1-49 Pieces
US$4,200.00
50+ Pieces

Product specifications

color

Product profile

Customization

Available

Application

Tower Workstation / Desktop

Instruction System

CISC

Model NO.

GB10

Max. CPUs

1

Number of CPu Threads

32

Platform

Intel W880

Server Type

Tower

Storage Capacity

>1TB

Supporting Memory Capacity

128GB

System Architecture

Intel 14th Gen Core

Workstation Type

Desktop Workstation

Brand

Dell

Expansion Slots

PCIe x4

Graphics Card

Nvidia Rtx 6000 Ada

Operating System

Windows 11 PRO

Processor Type

Intel Core (I3/I5/I7/I9) or Xeon

RAM Capacity

128GB

Storage Type

NVMe SSD

Type

Workstation

Condition

100% Brand New Original Sealed

Product Type

GPU Computing Workstation

Form Factor

Tower

MOQ

1unit

Architecture

Grace Blackwell Unified Architecture

CPU

Nvidia Grace Arm CPU

Memory Capacity

128GB Unified Memory

Memory Architecture

CPU + GPU Shared Memory Pool

Storage

up to 4tb Nvme SSD (Configurable)

Performance Level

Peta-Scale Ai Computing (Fp4 Optimized)

Transport Package

Original Packaging

Specification

42 cm x 17cm x 37 cm

Trademark

Cisco

Origin

China

Production Capacity

300PCS/Month

Key features

Next-Gen Blackwell Architecture: Built on NVIDIA's latest Blackwell platform to provide a massive leap in generative AI compute efficiency.
Massive High-Speed Memory: Equipped with next-generation high-bandwidth memory (HBM/GDDR) to handle multi-billion parameter LLMs locally.
Premium Thermal Engineering: Advanced liquid cooling or customized low-noise multi-zone fan matrices designed for office-friendly environments.
Enterprise Expansion Ready: Scalable PCIe architecture supporting high-speed networking adapters, extensive storage arrays, and custom add-ons.

Company profile

Beijing Boqiang Mingtai Technology Co., Ltd.
High Repeat Buyers ChoiceFlexible CustomizationFast DeliveryLow MOQ
CertifiedBusiness Type: Trading Company CertifiedCustomization Options: Customization from Samples, Customization from Designs, etc. CertifiedExport Year: 3 Years CertifiedNearest Port: Tianjin PortAverage Response Time: ≤1.49h CertifiedTerms of Payment: T/T, Western Union

About Our Factory & Business Background

AddressRoom 519, Building 14, Yard 1, Tianxing Street, Fangshan District, Beijing,China
Plant Area100 square meters
Number of Employees3
Registered Capital2,000,000 RMB
International Commercial Terms(Incoterms)EXW
Average Lead TimePeak Season Lead Time: within 15 workdays Off Season Lead Time: within 15 workdays
Minimum Order Quantity1
Supply Chain Partners20

Our Production Capability & Technical Expertise

Main ProductsServer, Switch
R&D Engineers1 people

Our Industry Experience & Global Business Record

Year of Establishment2023-02-06
Main MarketsSoutheast Asia/ Mideast, East Asia(Japan/ South Korea)
Repeat Buyers Choice80%~100%
Number of Foreign Trading Staff2
Overseas Agent/BranchNo
New Products Launched in Last yearNo

Our Certifications, Standards & Industry Recognition

Cooperated with Fortune 500No

Product Q&A

Q:What is NVIDIA GB10 used for?
A:
NVIDIA GB10 is designed for AI development, large language model (LLM) execution, machine learning, and edge AI computing applications. It enables local AI processing without relying on cloud infrastructure.
Q:Is GB10 a CPU or GPU
A:
GB10 is a unified AI superchip that integrates NVIDIA Grace CPU and Blackwell GPU into a single architecture with shared memory design.
Q:What is the main advantage of GB10?
A:
The main advantage is its unified memory architecture (CPU + GPU shared 128GB memory), which significantly improves AI computation efficiency and reduces data transfer latency.
Q:Can GB10 run large language models locally?
A:
Yes. GB10 is designed to support local deployment of large language models depending on model size and optimization (e.g., 70B-200B class models under optimized conditions).
Q:Does GB10 require cloud computing?
A:
No. GB10 is built for local AI computing, allowing enterprises and developers to run AI workloads without depending on cloud services.

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