Gcore (AS202422) provides direct H100, A100, L40S, L4 and H200 GPU infrastructure from Frankfurt and Seattle. Its services include managed AI cloud, bare metal and colocation with HIPAA, ISO 27001, PCI DSS, SOC 2, Tier III, Tier IV and Uptime coverage.
Gcore 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
Network ownership
Gcore operates its own network (193k IPv4 addresses across 713 prefixes) rather than presenting another hyperscaler's capacity as its own.
Confirmed
Direct operator classification
Gcore controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
REVIEWS
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Gcore 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 Gcore offer?
Gcore lists H100, A100, L40S and 2 more across its published capacity.
How much does Gcore charge for GPU compute?
Published indicative rates span Hourly rates at $1.25/hr, Monthly rates at $35 – $1,045 /mo. Final cluster pricing depends on commit length, storage and networking.
Is Gcore's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Gcore has not claimed it.
OVERVIEW
Company overview
Operator class
Direct operator
Operating entity
Gcore (AS202422)
GPU models tracked
H100, A100, L40S and 2 more
Registered in
LU
Services
GPU compute, Managed services, Bare metal and 1 more
Network footprint
713 prefixes / 193k 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.
A100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Mature training stacks that value known performance and broad tooling support.
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.
Hourly rates
$1.25/hr
Monthly rates
$35 – $1,045 /mo
Across 17 published SKUs spanning H100, A100, L40S, L4.
Reviewed Jun 4, 2026
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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.