verda.com provides direct A100, B200, B300, GB200, GB300, H100, H200, L40S and RTX 6000 GPU infrastructure through Verda. Its platform offers instances, clusters, bare metal, serverless containers and managed endpoints with ISO 27001 and SOC 2 certification.
verda 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
verda operates its own network (3k IPv4 addresses across 10 prefixes) rather than presenting another hyperscaler's capacity as its own.
Confirmed
Direct operator classification
verda controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
REVIEWS
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verda 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 verda offer?
verda lists A100, B200, B300 and 6 more across its published capacity.
How much does verda charge for GPU compute?
verda does not publish list pricing. Visit their site or use the contact form on this page for a quote.
Is verda's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. verda has not claimed it.
OVERVIEW
Company overview
Operator class
Direct operator
Operating entity
SHAMEL-AS
GPU models tracked
A100, B200, B300 and 6 more
Registered in
KW
Services
GPU compute, Bare metal
Network footprint
10 prefixes / 3k 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.
A100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Mature training stacks that value known performance and broad tooling support.
B200
QuoteClaim to publish
VRAM 192 GBClass Blackwell
Best for Frontier-scale training and teams optimizing around the newest platform.
GB200
QuoteClaim to publish
VRAM 192 GBClass Blackwell
Best for Frontier-scale training and the highest-throughput inference workloads.
H100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Serious model training where time-to-result outweighs hourly cost.
Inference
For predictable production serving, latency targets and steady utilisation.
B300
QuoteClaim to publish
Best for B300 workloads.
GB300
QuoteClaim to publish
Best for GB300 workloads.
L40S
QuoteClaim to publish
VRAM 48 GBClass Ada
Best for Cost-effective production inference and image generation at scale.
RTX6000
QuoteClaim to publish
Best for RTX6000 workloads.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Pricing on request. Visit verda’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.