cloudkleyer.de provides direct GPU and AI servers with colocation from Frankfurt. Its listed hardware includes A5000, H100, L4, L40, L40S, MI300X, RTX 3090 and RTX 4090 systems supported by Tier III infrastructure.
cloudkleyer 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
cloudkleyer operates its own network (2k IPv4 addresses across 6 prefixes) rather than presenting another hyperscaler's capacity as its own.
Confirmed
Direct operator classification
cloudkleyer controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
REVIEWS
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Is cloudkleyer a direct GPU operator or a reseller?
cloudkleyer 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 cloudkleyer offer?
cloudkleyer lists A5000, H100, L4 and 5 more across its published capacity.
How much does cloudkleyer charge for GPU compute?
cloudkleyer does not publish list pricing. Visit their site or use the contact form on this page for a quote.
Is cloudkleyer's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. cloudkleyer has not claimed it.
OVERVIEW
Company overview
Operator class
Direct operator
Operating entity
CLOUDKLEYER-IX-AS
GPU models tracked
A5000, H100, L4 and 5 more
Registered in
DE
Services
Colocation, GPU compute
Network footprint
6 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.
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.
L40
QuoteClaim to publish
VRAM 48 GBClass Ada
Best for Production serving for models that fit in 48 GB without SXM pricing.
L40S
QuoteClaim to publish
VRAM 48 GBClass Ada
Best for Cost-effective production inference and image generation at scale.
RTX 4090
QuoteClaim to publish
VRAM 24 GBClass Ada
Best for Consumer-grade GPU for cost-sensitive inference and development.
Fine-tuning
For smaller adaptation jobs, evaluation loops and budget-controlled development.
A5000
QuoteClaim to publish
VRAM 24 GBClass Ampere
Best for Fine-tuning smaller models and evaluation loops on a tight budget.
RTX 3090
QuoteClaim to publish
VRAM 24 GBClass Ampere
Best for LoRA fine-tuning and local development at consumer pricing.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Pricing on request. Visit cloudkleyer’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.