AIMS-MY-NET AIMS Data Centre Sdn Bhd provides direct colocation, managed cloud, connectivity and GPU infrastructure in Malaysia. Its listed GPU options include A40, L4 and T4 systems with ISO 9001, PCI DSS and Tier III certifications.
Aims is a direct operator with a focused GPU lineup, running its own infrastructure rather than reselling third-party capacity. Directness means fewer middlemen and clearer accountability on the performance you pay for.
Depth is limited compared to larger direct operators. Worth considering when the specific SKUs on offer match your workload exactly.
Best for: Buyers who want a direct relationship with the operator that owns the metal. Not for: Teams prioritising a marketplace's breadth of third-party supply.
Confidence: HighEvidence reviewed: 6 checks
Confirmed
Network ownership
Aims operates its own network (35k IPv4 addresses across 37 prefixes) rather than presenting another hyperscaler's capacity as its own.
Confirmed
Direct operator classification
Aims controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
REVIEWS
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Aims is classified as a direct operator. Buyers who want a direct relationship with the operator that owns the metal. Teams prioritising a marketplace's breadth of third-party supply.
What GPU models does Aims offer?
Aims lists A40, L4, T4 across its published capacity.
How much does Aims charge for GPU compute?
Aims does not publish list pricing. Visit their site or use the contact form on this page for a quote.
Is Aims's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Aims has not claimed it.
OVERVIEW
Company overview
Operator class
Direct operator
Operating entity
AIMS-MY-NET AIMS Data Centre Sdn Bhd
GPU models tracked
A40, L4, T4
Registered in
MY
Services
Managed services, Colocation, GPU compute and 2 more
Network footprint
37 prefixes / 35k IPv4
CAPACITY
GPU lineup by use case
Tracked GPU SKUs grouped by the workload they fit best.
Inference
For predictable production serving, latency targets and steady utilisation.
L4
QuoteClaim to publish
VRAM 24 GBClass Ada
Best for Cost-efficient inference for smaller production models and API serving.
T4
QuoteClaim to publish
VRAM 16 GBClass Turing
Best for Cost-optimised inference for smaller models with predictable load.
Fine-tuning
For smaller adaptation jobs, evaluation loops and budget-controlled development.
A40
QuoteClaim to publish
VRAM 48 GBClass Ampere
Best for LoRA fine-tuning, evaluation and teams watching spend closely.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Pricing on request. Visit Aims’s site for a quote.
COMPARE
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Profile pages, buyer guides and model explainers stay open. Vendor packages cover what shows on this profile. Verification stays independent and is never for sale.