RACKBANK-AS RackBank Datacenters Private Ltd provides direct H100, MI300X, A100, A30, L40, L4, RTX 3090, V100, T4, P100 and P40 GPU infrastructure from Mumbai. Its services include AI factories, colocation and managed cloud with HIPAA, ISO 27001, SOC 2 and Tier III coverage.
Rackbank is a direct operator with a broad GPU lineup spanning current-generation NVIDIA capacity. Running its own network, it suits teams moving from experimentation into sustained production or those that need range across training, inference and fine-tuning without managing separate provider accounts.
The tradeoff: procurement is configuration-dependent and may require a quote process rather than instant checkout. Best fit for buyers with a clear workload plan.
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: 8 checks
Confirmed
Network ownership
Rackbank operates its own network (2k IPv4 addresses across 9 prefixes) rather than presenting another hyperscaler's capacity as its own.
Confirmed
Direct operator classification
Rackbank controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
REVIEWS
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Rackbank 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 Rackbank offer?
Rackbank lists H100, MI300X, A100 and 8 more across its published capacity.
How much does Rackbank charge for GPU compute?
Rackbank does not publish list pricing. Visit their site or use the contact form on this page for a quote.
Is Rackbank's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Rackbank has not claimed it.
OVERVIEW
Company overview
Operator class
Direct operator
Operating entity
RACKBANK-AS RackBank Datacenters Private Ltd
GPU models tracked
H100, MI300X, A100 and 8 more
Registered in
IN
Services
Colocation, GPU compute, Bare metal and 1 more
Network footprint
9 prefixes / 2k IPv4
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.
H100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Serious model training where time-to-result outweighs hourly cost.
MI300X
QuoteClaim to publish
VRAM 192 GBClass AMD
Best for Training and inference for teams evaluating the AMD ecosystem.
A100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Mature training stacks that value known performance and broad tooling support.
Inference
For predictable production serving, latency targets and steady utilisation.
A30
QuoteClaim to publish
VRAM 24 GBClass Ampere
Best for Production inference and light fine-tuning in a data-centre chassis.
L40
QuoteClaim to publish
VRAM 48 GBClass Ada
Best for Production serving for models that fit in 48 GB without SXM pricing.
L4
QuoteClaim to publish
VRAM 24 GBClass Ada
Best for Cost-efficient inference for smaller production models and API serving.
RTX3090
QuoteClaim to publish
Best for RTX3090 workloads.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Pricing on request. Visit Rackbank’s site for a quote.
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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.