Enterprise Solutions · Data & AI
NVIDIA Supplier Malaysia — GPUs for AI training & inference
We supply NVIDIA in Malaysia through authorised distribution — data-centre GPUs, RTX professional cards, AI Enterprise licensing and the networking around them — quoted in RM with SST stated and MyInvois e-invoicing handled. We are a reseller sourcing through authorised Malaysian distribution, not a distributor.
What we supply
Data-centre GPUs (H100, H200, B200, B300, GB300, L40S)
The accelerators behind training and high-volume inference, as loose cards or in HGX and DGX platforms. Supply of advanced parts is allocation-based and subject to export controls, so availability is confirmed against your configuration at quotation rather than quoted from a list — and signed end-user documentation comes before pricing.
RTX professional GPUs
Workstation cards for teams doing model development, fine-tuning and visualisation locally. Often the right answer before a data-centre purchase is justified — and a far shorter procurement conversation.
NVIDIA AI Enterprise licensing
The supported software layer — frameworks, inference microservices and security patching — licensed per GPU or per node. It is a separate subscription from the hardware, bundled with some systems and not others, which is where most first budgets are wrong.
Networking & certified systems
Spectrum Ethernet, Quantum InfiniBand and BlueField DPUs, plus NVIDIA-Certified servers from Dell, HPE and Lenovo. At multi-GPU scale the interconnect, not the GPU, is usually what caps throughput.
Before we can quote advanced GPUs
Data-centre accelerators in this class are subject to export controls. Signed end-user documentation is required before we release pricing, and the exact form depends on the platform we configure against — so we gather the underlying information once, up front, rather than sending you the wrong form. RTX professional cards, AI Enterprise licensing and networking are quoted without any of it.
What we ask for
- Who the buying entity is — registered name, registration number and registered office
- What the hardware will actually run — the model, the operation, the scale, and who consumes the output
- Where it will physically sit, and whether the ship-to address is your own site
- Whether anyone else gets access to it, through resale or as-a-Service
- Who is funding and paying for the purchase
How buying works in Malaysia
Quotation-driven, in Ringgit, with the paperwork handled — the parts of enterprise procurement most catalogue listings leave you to discover.
- 01
Enquiry
Requirements, quantity and timeline.
- 02
Quotation in RM
Local pricing, usually within two working days.
- 03
Purchase order
Standard PO terms; MyInvois e-invoice issued.
- 04
Authorised supply
Sourced through authorised Malaysian distribution.
- 05
Delivery & licensing
Licence issuance or hardware delivery, tracked.
- 06
Renewals handled
Co-termed and diarised — we chase the dates, not you.
NVIDIA, H100, H200, B200, B300, GB300, HGX, DGX, L40S, RTX, Spectrum, Quantum, BlueField and NVIDIA AI Enterprise are trademarks of NVIDIA Corporation. Anchor Sprint is an independent reseller sourcing through authorised Malaysian distribution and is not affiliated with, endorsed by or a partner of NVIDIA Corporation.
Looking for DGX Spark specifically?
The GB10 desktop supercomputer has its own page, covering 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 and the rest — with what actually differs between them and when a Spark is the wrong purchase.
NVIDIA in Malaysia — common questions
Can I buy NVIDIA GPUs in Malaysia through Anchor Sprint?
Yes. We supply NVIDIA in Malaysia through authorised distribution — data-centre GPUs, RTX professional cards, NVIDIA-Certified systems and AI Enterprise licensing — quoted in Ringgit with SST stated and MyInvois e-invoicing handled.
Are you an NVIDIA distributor in Malaysia?
No. We are a reseller and we source through authorised Malaysian distribution. The practical difference for you is none at the point of purchase: you get a Malaysian quotation in RM, local PO terms, SST treatment stated and a MyInvois e-invoice. Anyone claiming to be NVIDIA's distributor in Malaysia is describing a different relationship from ours.
Can I use GeForce cards in a server instead of data-centre GPUs?
For a workstation under a desk, yes. In a data centre, NVIDIA's driver licence terms restrict GeForce deployment, which is why the data-centre and RTX professional lines exist. If your workload is a handful of researchers fine-tuning models, an RTX workstation is usually the honest recommendation; if it is shared multi-tenant inference, it is not.
How much does an H100 cost in Malaysia?
We do not publish prices for NVIDIA hardware. Data-centre GPU pricing moves with configuration, allocation and the system it ships in, so it is quotation-based. Send your workload, GPU count and whether you need the server around it through the enquiry form and we return a quotation in Ringgit. For data-centre parts the end-use questions come first — we cannot release pricing before the documentation is in hand.
Why do you need end-user documentation for an H200 or a B300?
Advanced data-centre accelerators are subject to export controls, and signed end-user documentation is required before pricing can be released. The exact form depends on the platform the order is configured against, so we gather the underlying information first — who the buying entity is, what the hardware will actually run, where it will physically sit, whether anyone else gets access to it, and who is paying. RTX professional cards, AI Enterprise licensing and networking are quoted without any of this.
How long does export screening add to a GPU order in Malaysia?
Answering the questions takes a sitting if you have your registration details, deployment site and workload to hand — there is one form and you complete it once. The screening itself then adds working days, not weeks, before a quotation can be released. What actually causes delay is a vague end use: an answer like "AI" or "GPU cluster" is not specific enough for the documentation and sends the whole thing back a step, which is why our form asks which model, which operation, at what scale and for whom, rather than asking you to describe it in one box.
Get a quotation in RM
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