Fluidstack.io 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
Fluidstack.io operates its own network (256 IPv4 addresses across 1 prefixes) rather than presenting another hyperscaler's capacity as its own.
Confirmed
Direct operator classification
Fluidstack.io controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
REVIEWS
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Is Fluidstack.io a direct GPU operator or a reseller?
Fluidstack.io 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 Fluidstack.io offer?
Fluidstack.io lists B200, GB200, H100 and 1 more across its published capacity.
How much does Fluidstack.io charge for GPU compute?
Fluidstack.io does not publish list pricing. Visit their site or use the contact form on this page for a quote.
Is Fluidstack.io's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Fluidstack.io has not claimed it.
OVERVIEW
Company overview
Operator class
Direct operator
Operating entity
eHarmony.com
GPU models tracked
B200, GB200, H100 and 1 more
Registered in
US
Services
GPU compute, Managed services, Bare metal
Network footprint
1 prefixes / 256 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.
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.
H200
QuoteClaim to publish
VRAM 141 GBClass Hopper
Best for Large-scale training where memory bandwidth decides the outcome.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Pricing on request. Visit Fluidstack.io’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.