马来西亚的 NVIDIA DGX Spark — 各 OEM 型号，以令吉报价

• NVIDIA

  DGX Spark (Founders Edition)

  The reference build, with 4 TB self-encrypting NVMe. The baseline every OEM version is measured against.

  为此型号报价

• ASUS

  Ascent GX10

  ASUS's build of the same GB10 platform, offered in more than one storage capacity.

  查看完整页面为此型号报价

• Dell Technologies

  Pro Max with GB10

  Dell's build, sold into the same fleet and support arrangements as the rest of a Dell estate.

  查看完整页面为此型号报价

• HP

  ZGX Nano AI Station (G1n)

  HP's Z-series take on the platform, aimed at workstation buyers already standardised on Z.

  查看完整页面为此型号报价

• Lenovo

  ThinkStation PGX

  Lenovo's first GB10 workstation, carrying ThinkStation warranty and service options.

  查看完整页面为此型号报价

• Acer

  Veriton GN100 AI Mini Workstation

  Acer's compact build of the same platform.

  查看完整页面为此型号报价

• Gigabyte

  AI TOP ATOM

  Gigabyte's GB10 build, listed by NVIDIA alongside the others.

  为此型号报价

• MSI

  EdgeXpert (MS-C931)

  MSI's GB10 build, sold into industrial and edge deployments as well as the desk.

  为此型号报价

1. 01

   告诉我们型号

   哪个 OEM 型号、数量多少、是否需要两台互联。

2. 02

   以令吉报价

   本地定价，通常两个工作日内完成，注明 SST。

3. 03

   采购订单

   标准采购订单条款；开具 MyInvois 电子发票。

4. 04

   授权供应

   通过马来西亚授权分销采购。

5. 05

   交付并完成设置

   上架或置于桌面，接入您的网络，DGX OS 就绪。

6. 06

   投入使用

   可选：我们让模型在其后端真正处理有用的工作。

常见问题

Where can I buy NVIDIA DGX Spark in Malaysia?

安克极速 supplies DGX Spark in Malaysia through authorised distribution, in both the NVIDIA Founders Edition and every OEM build — ASUS Ascent GX10, Dell Pro Max with GB10, HP ZGX Nano, Lenovo ThinkStation PGX, Acer Veriton GN100, Gigabyte AI TOP ATOM and MSI. Send the model and quantity through the enquiry form and we return a quotation in Ringgit with SST treatment stated and a MyInvois e-invoice on purchase.

How much does a DGX Spark cost in Malaysia?

We do not publish prices. DGX Spark pricing moves with the OEM build, storage capacity and the promotion running at the time, so it is quotation-based. Send us the model you want and we will come back in Ringgit, usually within two working days.

What is the difference between the OEM versions of DGX Spark?

Less than most buyers expect. NVIDIA fixes the GB10 superchip, the 128 GB of unified memory and the ConnectX-7 networking across every build, so raw compute is the same whichever badge is on the front. OEMs differentiate on storage capacity, cooling and acoustics, chassis design, warranty terms and remote management. In practice the right choice is usually whichever vendor your existing support and procurement arrangements already cover.

Is DGX Spark the same thing as RTX Spark?

No — they are two different NVIDIA products with confusingly similar names, and buyers mix them up constantly. DGX Spark is the GB10 Grace Blackwell developer workstation on this page: it runs NVIDIA DGX OS, which is Linux, and it exists to hold and fine-tune large models locally. RTX Spark is NVIDIA's SoC family for Windows-on-Arm AI PCs, announced at Computex 2026 and built into laptops and desktops by the usual PC makers. The silicon is related, but one is a developer workstation and the other is a personal computer. If you are shopping for a laptop, you want RTX Spark; if you want to run a 200-billion-parameter model on your own desk, you want DGX Spark. Tell us the workload and we will tell you which.

Is DGX Spark a replacement for a data-centre GPU server?

No, and it is worth being clear about that before you buy. DGX Spark has 128 GB of unified memory at 273 GB/s. That is a lot of capacity for the size and price class, which is what makes it excellent for prototyping, fine-tuning up to about 70 billion parameters and running models locally. But memory bandwidth, not capacity, is what governs large-model inference throughput, and a data-centre GPU has several times more. If your goal is high-volume production inference for many concurrent users, a Spark is the wrong tool and we will tell you so.

Can I link two DGX Spark units together?

Yes. The ConnectX-7 networking at 200 Gbps exists for exactly this, and NVIDIA states that two connected units work with models up to 405 billion parameters. If that is your plan, tell us at enquiry stage so the quotation includes the cabling and the second unit is matched.

Do I need a DGX Spark, or should I just use cloud GPUs?

It depends on utilisation and data residency, not on preference. A Spark is capital you own and can run at full utilisation without metering, which suits teams developing continuously or handling data that should not leave the building under PDPA. Cloud suits bursty workloads and anything needing more bandwidth than a Spark has. We build and operate AI systems in production, so we can tell you which case you are in before you commit to hardware.

Does the quotation include SST and a MyInvois e-invoice?

Yes. Quotations are issued in Ringgit with SST treatment stated, purchase orders run on standard local terms, and invoices are issued through MyInvois in line with Malaysia's e-invoicing requirements.

Can 安克极速 help set it up and actually use it?

Yes, and that is the part most resellers cannot do. We are a member of the Anthropic Claude Partner Network and we build agentic AI systems in production. Supplying the box is the easy half; getting a model serving something useful behind your own network is the half that decides whether the purchase pays for itself.