The next step is moving from individual GPUs to the behavior of the entire fleet. Fleet Level Intelligence does not just show cluster‑wide dashboards; it understands how GPUs, nodes, and jobs interact across availability zones, SKUs, and tenants.
Oru’el gives you at the fleet level:
Fleet‑wide health scoring
Capacity risk and saturation forecasting
Cross‑cluster causal failure graphs
Noisy‑neighbor and hotspot detection
Workload‑to‑hardware fit and placement insights
This helps you:
Plan capacity proactively and avoid large‑scale incidents
Improve bin‑packing and reduce stranded or underutilized GPUs
Protect SRE and capacity teams from constant firefighting
Add higher gross margin and better ROI on GPU spend
Appointing jobs to the right GPUs than the available ones
"My GPUs work just fine, most of it is resolved when we restart."
NVIDIA H100s have 512 spare rows in HBM memory.
Every ECC/XID error remaps a faulty row to a spare.
Once all 512 are consumed, the GPU is done no more restarts possible.
For someone who's spent millions on these devices, why would you want the rows to go down in the first place? Protecting rows helps you extract more billable hours from the same hardware capex. Each H100 costs $30-40K. The operator's entire business model is amortizing that cost over as many billable hours as possible before the GPU dies.
Every row you protect pushes the 512 ceiling further out, more jobs completed, more hours billed, better return on a fixed capital asset."
Our latest pilot on GPU level intelligence predicted a fatal memory bandwidth fault and a clock boost anomaly about a week prior.
NVIDIA H100s have 512 spare rows in HBM memory.
Every ECC/XID error remaps a faulty row to a spare.
Once all 512 are consumed, the GPU is done no more restarts possible.
For someone who's spent millions on these devices, why would you want the rows to go down in the first place? Protecting rows helps you extract more billable hours from the same hardware capex. Each H100 costs $30-40K. The operator's entire business model is amortizing that cost over as many billable hours as possible before the GPU dies.
Every row you protect pushes the 512 ceiling further out, more jobs completed, more hours billed, better return on a fixed capital asset."
Our latest pilot on GPU level intelligence predicted a fatal memory bandwidth fault and a clock boost anomaly about a week prior.
