Markaicode sources GPU capacity from Site mentions AWS infrastructure and resells it with a managed layer on top. This model can simplify the buying process for teams that prefer not to deal with the underlying provider directly.
There is a margin built in and transparency over where the hardware runs is limited. Compare against the underlying provider before committing at scale.
Best for: Teams that value managed sourcing over dealing with the underlying operator directly. Not for: Buyers who require direct-to-metal accountability from the infrastructure owner.
Confidence: MediumEvidence reviewed: 3 checks
Indicator
Reseller classification
Markaicode sources capacity from Site mentions AWS infrastructure and resells access with a managed layer.
Indicator
Provenance
Infrastructure is not independently operated. Buyers requiring direct-operator guarantees should compare against the source provider.
REVIEWS
Buyer reviews
Moderated buyer feedback. Independent from the viabandwidth assessment above.
Had a good or bad experience with Markaicode?
Be the first to review Markaicode. Moderated and kept separate from viabandwidth’s own assessment.
Is Markaicode a direct GPU operator or a reseller?
Markaicode is classified as a reseller. Teams that value managed sourcing over dealing with the underlying operator directly. Buyers who require direct-to-metal accountability from the infrastructure owner.
What GPU models does Markaicode offer?
Markaicode lists RTX5090, RTX3090, A100 and 5 more across its published capacity.
How much does Markaicode charge for GPU compute?
Published indicative rates span Hourly rates at $0.34 – $3.80 /hr, Monthly rates at $147 – $8,000 /mo. Final cluster pricing depends on commit length, storage and networking.
Is Markaicode's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Markaicode has not claimed it.
OVERVIEW
Company overview
Operator class
Reseller
GPU models tracked
RTX5090, RTX3090, A100 and 5 more
Services
GPU compute, Bare metal
CAPACITY
GPU lineup by use case
Tracked GPU SKUs grouped by the workload they fit best.
Training
For multi-node runs where interconnect and cluster availability decide the outcome.
A100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Mature training stacks that value known performance and broad tooling support.
H100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Serious model training where time-to-result outweighs hourly cost.
Inference
For predictable production serving, latency targets and steady utilisation.
RTX5090
QuoteClaim to publish
Best for RTX5090 workloads.
RTX3090
QuoteClaim to publish
Best for RTX3090 workloads.
L40S
QuoteClaim to publish
VRAM 48 GBClass Ada
Best for Cost-effective production inference and image generation at scale.
L4
QuoteClaim to publish
VRAM 24 GBClass Ada
Best for Cost-efficient inference for smaller production models and API serving.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$0.34 – $3.80 /hr
Monthly rates
$147 – $8,000 /mo
Across 19 published SKUs spanning RTX5090, RTX3090, A100, L40S.
COMPARE
Similar GPU providers
Other reseller operators buyers compare Markaicode against.
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.