exoscale.ch provides direct V100, A40, A30 and L4 GPU servers alongside managed Kubernetes, storage, databases and cloud compute. Its listed certifications include CSA STAR, FedRAMP, HIPAA, ISO 27001, ISO 9001, PCI DSS, SOC 1, SOC 2 and Tier III.
exoscale 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
exoscale operates its own network (35k IPv4 addresses across 43 prefixes) rather than presenting another hyperscaler's capacity as its own.
Confirmed
Direct operator classification
exoscale controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
REVIEWS
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exoscale 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 exoscale offer?
exoscale lists V100, A40, A30 and 1 more across its published capacity.
How much does exoscale charge for GPU compute?
exoscale does not publish list pricing. Visit their site or use the contact form on this page for a quote.
Is exoscale's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. exoscale has not claimed it.
OVERVIEW
Company overview
Operator class
Direct operator
GPU models tracked
V100, A40, A30 and 1 more
Registered in
CH
Services
GPU compute, Managed services, Bare metal
Network footprint
43 prefixes / 35k IPv4
CAPACITY
GPU lineup by use case
Tracked GPU SKUs grouped by the workload they fit best.
Inference
For predictable production serving, latency targets and steady utilisation.
V100
QuoteClaim to publish
Best for V100 workloads.
A30
QuoteClaim to publish
VRAM 24 GBClass Ampere
Best for Production inference and light fine-tuning in a data-centre chassis.
L4
QuoteClaim to publish
VRAM 24 GBClass Ada
Best for Cost-efficient inference for smaller production models and API serving.
Fine-tuning
For smaller adaptation jobs, evaluation loops and budget-controlled development.
A40
QuoteClaim to publish
VRAM 48 GBClass Ampere
Best for LoRA fine-tuning, evaluation and teams watching spend closely.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Pricing on request. Visit exoscale’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.