GPU COMPUTE · BUYING GUIDEGPU rental for Malaysia teams
Plan AI training and inference for Malaysia-based organisations. Compare quoted Australia or Singapore deployment options, with clear GPU specifications, AUD budgeting and an agreed location.
Serving customers across Asia and globally. Australia and Singapore are deployment options to discuss; the actual location, availability and delivery date are confirmed in your quote. A translated page does not imply local GPU stock.
GPU selection
GB300 NVL72 · Capacity reservations
GB300 NVL72 capacity reservations. Configuration, region, pricing and delivery schedule are confirmed in the reservation proposal.
Request a GPU quote →Rubin · NEW
Register interest in Rubin. This is an enquiry about future capacity, not an immediately purchasable instance. Pricing and availability require confirmation.
Send your requirements →Budget for the entire deployment
Estimate GPU count × hourly rate × billable hours. Then add persistent storage, snapshots, data transfer, public IPs and any managed services. Ask whether resources keep billing when the GPU is stopped.
Worked example: 8 GPUs for 100 hours = 800 GPU-hours. Multiply GPU-hours by the Arvica rate in the live catalogue or your proposal, then add other services and tax. Reserved commitments may use different billing terms.
Before ordering, confirm minimum rental term, billing granularity, cancellation terms, included storage and transfer allowances, overage rates, and whether prices include GST or other applicable taxes.
How much GPU memory does a model need?
A first estimate for model weights is parameter count × bytes per parameter. For 70 billion parameters, FP16/BF16 weights alone require about 140 GB (decimal); 4-bit weights start around 35 GB before quantization metadata. KV cache, activations and runtime overhead require additional memory.
Weights only · GB (decimal)| Model parameters (billions) | FP16 / BF16 | INT8 | 4-bit |
|---|
| 8 | 16 | 8 | 4 |
|---|
| 32 | 64 | 32 | 16 |
|---|
| 70 | 140 | 70 | 35 |
|---|
| 405 | 810 | 405 | 202.5 |
|---|
These calculations are not performance benchmarks. Context length, batch size, concurrency, precision and training method change memory needs. Training also needs gradients and optimizer state. Share those settings so the configuration can be checked.
Hugging Face · GPU memory usage ↗Give us the details that change the recommendation
Include model name and size, training or inference, precision, context length, expected concurrency, dataset size, storage, network requirements and the software image. If you need a specific country for data residency, state it explicitly.
Technical documentation (English) →Buying from your market
For teams connecting from Kuala Lumpur or elsewhere in Malaysia, test the actual application path to the proposed hosting location. For document processing and private models, include dataset location, upload volume, retention requirements and checkpoint transfers in the cost calculation.
Arvica's live on-demand prices are in USD and each proposal states its currency; none are in MYR. Ask finance to account for exchange rates, bank fees and applicable tax. Identify the contracting entity and purchase order requirements. Malaysia-based customers should not assume the GPU is physically hosted in Malaysia.
Questions before you order
Where will my data be stored?
The order should name the compute location, storage location, backup location and permitted support access. Serving customers in a country is different from hosting in that country. Request these details before transferring data.
How do I discuss capacity or receive a quote?
Contact sales@arvica.ai or submit the form below. Arvica reviews the configuration, capacity and commercial terms before quoting. Ask for an expected response and delivery date; no fixed quote turnaround or activation time is promised on this page.
Which GPU is fastest for my model?
A useful comparison uses the same model, precision, batch size, context length, software version and GPU count. Ask for verified measurements under those conditions. This guide does not claim unmeasured performance or publish invented customer results.
Can I use a purchase order or reserved capacity?
Include your legal entity, purchase order reference, requested term and billing requirements. Arvica confirms the contract, deposit, invoicing and payment terms in the quote. Submitting this form does not charge your card or provision a resource.
Can customers in mainland China use the service?
Check page access, form submission, SSH and model download paths from the actual customer network before ordering. Overseas availability does not prove mainland connectivity. Confirm data transfer and access requirements for the intended workload.
Send your requirements
Tell us the workload and deployment constraints. Arvica will prepare suitable configuration options and pricing. You can write your requirement in the language used on this page.
Capacity, pricing or enquiry follow-up: sales@arvica.ai
