Case study: how Ahurasense runs B300 workloads on Lium
Ahurasense puts Lium B300 nodes behind its own AI GPU pods. The nodes are about 99% stable and it gets as many instances as it needs.
Lium team1 min read
case-study
b300
reliability
Who they are
Ahurasense offers AI GPU pods to its own users. Lium is one of the GPU providers behind those pods.
What they run
Ahurasense runs on NVIDIA B300 nodes. On those nodes the team hosts and develops de-risked and internal models. They have been on Lium since early October 2026, mostly on 8-GPU B300 nodes, and have used more than 7,000 B300 GPU-hours so far.
Why Lium
For a team that builds its AI GPU pods on top of other providers, two things matter most: reliability and availability.
Reliability. Ahurasense finds its B300 nodes on Lium about 99% stable.
Availability. Ahurasense can get as many instances as it needs on Lium.
Together these let Ahurasense put Lium behind its own pods: the nodes are about 99% stable and the instances it needs are available.
Result
Ahurasense now runs part of its AI GPU pod offering on Lium B300 nodes, with about 99% stability and the number of instances it needs.
Try it
See live B300 and other GPU prices at lium.io/pricing.
Run it on Lium
See B300-SXM6-AC pricing and availability before you start.
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