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serverwala

serverwala.com provides direct H200, H100, L40S and L4 GPU infrastructure alongside managed services and colocation across a broad global footprint. Its listed facilities include Tier III and Tier IV data centers.

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VIABANDWIDTH

viabandwidth assessment

Our evidence-based analysis.
Direct verifiedOperator model signal

serverwala 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: 6 checks
Confirmed

Direct operator classification

serverwala controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.

REVIEWS

Buyer reviews

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FAQ

Frequently asked questions

Is serverwala a direct GPU operator or a reseller?
serverwala 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 serverwala offer?
serverwala lists L40S, H100, L4 and 1 more across its published capacity.
How much does serverwala charge for GPU compute?
Published indicative rates span Monthly rates at $25 – $518 /mo. Final cluster pricing depends on commit length, storage and networking.
Is serverwala's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. serverwala has not claimed it.
OVERVIEW

Company overview

Operator class
Direct operator
GPU models tracked
L40S, H100, L4 and 1 more
Services
Colocation, GPU compute, Managed services and 1 more
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.

H200

QuoteClaim to publish
VRAM 141 GBClass Hopper

Best for
Large-scale training where memory bandwidth decides the outcome.

Inference

For predictable production serving, latency targets and steady utilisation.

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.
Monthly rates
$25 – $518 /mo

Across 16 published SKUs spanning L40S, H100, L4, H200.

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