medjed.ai resells H100, A100, RTX 4090, MI250, V100, B200, H200, L40S, MI300X and MI250X GPU capacity from Portland. Its services include cloud instances, bare-metal systems and colocation with SOC 2, ISO 27001 and PCI DSS coverage.
medjed.ai sources GPU capacity from third-party infrastructure and resells it with a managed layer on top. This model can simplify the buying process for teams that prefer not to deal with the underlying provider directly.
There is a margin built in and transparency over where the hardware runs is limited. Compare against the underlying provider before committing at scale.
Best for: Teams that value managed sourcing over dealing with the underlying operator directly. Not for: Buyers who require direct-to-metal accountability from the infrastructure owner.
Confidence: MediumEvidence reviewed: 3 checks
Indicator
Reseller classification
medjed.ai sources capacity from a third-party infrastructure provider and resells access with a managed layer.
Indicator
Provenance
Infrastructure is not independently operated. Buyers requiring direct-operator guarantees should compare against the source provider.
REVIEWS
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medjed.ai is classified as a reseller. Teams that value managed sourcing over dealing with the underlying operator directly. Buyers who require direct-to-metal accountability from the infrastructure owner.
What GPU models does medjed.ai offer?
medjed.ai lists A100, MI300X, L40S and 7 more across its published capacity.
How much does medjed.ai charge for GPU compute?
Published indicative rates span Hourly rates at $2.39 – $5.99 /hr. Final cluster pricing depends on commit length, storage and networking.
Is medjed.ai's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. medjed.ai has not claimed it.
OVERVIEW
Company overview
Operator class
Reseller
GPU models tracked
A100, MI300X, L40S and 7 more
Services
Colocation, GPU compute, Bare metal
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.
MI300X
QuoteClaim to publish
VRAM 192 GBClass AMD
Best for Training and inference for teams evaluating the AMD ecosystem.
B200
QuoteClaim to publish
VRAM 192 GBClass Blackwell
Best for Frontier-scale training and teams optimizing around the newest platform.
H100
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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.
L40S
QuoteClaim to publish
VRAM 48 GBClass Ada
Best for Cost-effective production inference and image generation at scale.
V100
QuoteClaim to publish
Best for V100 workloads.
RTX4090
QuoteClaim to publish
Best for RTX4090 workloads.
MI250X
QuoteClaim to publish
Best for MI250X workloads.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$2.39 – $5.99 /hr
Across 5 published SKUs spanning A100, MI300X, L40S, B200.
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.