Pebble for Neoclouds

Your megawatts are fixed. Your revenue per megawatt doesn't have to be.

Power is your largest controllable cost and your hardest input to scale. Pebble caps every GPU at its efficiency knee — cutting demand charges today and fitting more revenue-generating GPUs into the same power envelope. Higher margin per GPU-hour, same facility, same utility contract. Validated live on AMD Instinct™ MI350X.

Validated on AMD Instinct™ MI350X MiTACComputing infrastructure partner

+86.5%

tokens/sec at −17.5% power on the live AMD MI350X pilot

+2 GPUs

of revenue capacity per 6 deployed, in the same kW envelope

30–70%

of an industrial power bill is the demand charge Pebble shaves

0%

SLA impact · zero application changes · behind your firewall

The neocloud P&L

You sell GPU-hours. Power decides your margin.

Your facility is capped at a fixed number of megawatts. Every watt a GPU wastes as heat is a watt you can't sell — and a demand-charge spike you pay for anyway. Pebble turns that wasted power back into sellable capacity.

01 · Margin per GPU-hour

Lower the power cost under every GPU-hour you sell.

Sonar caps each GPU at the operating point where tokens-per-watt peaks. Same throughput, less power drawn — the cost side of every GPU-hour drops, and it lands on the next utility invoice, not a five-year capex plan.

02 · Revenue per megawatt

Fit more billable GPUs into your fixed envelope.

The reclaimed 20–30% of stranded power becomes room for additional GPUs inside the same megawatts. On the AMD pilot that was +2 GPUs of capacity per 6 deployed — more inventory to rent from the facility you already pay for.

03 · Demand charges

Shave the peak that sets your monthly rate.

Utilities bill on your single highest 15-minute peak. One synchronized GPU burst can reset your rate for the whole month. Pebble clips that peak in real time — where 30–70% of the bill lives — with no batteries and no SLA hit.

Live pilot · AMD × MITAC Validated on AMD Instinct™ MI350X at MITAC Computing

Proven on real hardware, not a spec sheet — +86.5% throughput at −17.5% power.

“A very clever, very interesting product, where they actually utilize AI and have our GPUs consume less power — but the performance per watt is increased.” — Ted Marena, AMD · Plug and Play San Jose State, May 2026
Ted Marena on stage at Plug and Play San Jose, presenting Pebble 0:53
Runs where you run

Behind your firewall. On your hardware. No data leaves your perimeter.

Pebble deploys inside your environment and runs against your existing serving stack — vLLM, SGLang, TRT-LLM — with zero application changes. AMD Instinct and NVIDIA GPUs both supported. The optimization happens entirely within your infrastructure.

See your margin per GPU-hour go up.

We'll run a free efficiency-knee assessment on a representative workload — on your hardware, behind your firewall — and show you the demand-charge savings and the extra GPU capacity before you commit to anything.