Pioneering Excellence in #IT/#Cloud Efficiency and #GPU Management Through Resilient and Advanced Optimization. #Kubernetes #AIOps #AI #DataCenter #MultiCloud
Milpitas, CA
Joined November 2013
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Cooling uses 30-40% of a GPU data center’s power. Our newly approved U.S. patent predicts where AI workloads will heat up and adjusts fans and liquid cooling before the heat arrives, cutting energy use by up to 30%. bit.ly/47NL54o
#AIFactory #DataCenterCooling #ITOT
We're pleased to partner closely with @CNEX_HQ (CNEX) as they scale U.S. AI factory deployments. Federator.ai Cortex™ runs their GPU scheduling and cooling autonomously.
Read more: shorturl.at/VMJ3p
#AIOps #SmartLiquidCooling #GPUOptimization #DataCenter
@CNEX_HQ just unveiled its next-gen AI Factory platform, built to unify compute, data centers, platform software, and a global infrastructure network. It's exclusively powered by ProphetStor Cortex™.
(1/2) #AIFactoryOperations #AIOps #GPUoptimization #SmartLiquidCooling #ITOT
As their website put it:
"Most providers sell commodity GPU time. CNEX goes further: Exclusively powered by ProphetStor Cortex™, we integrate enterprise-grade AIOps and real-time orchestration to deliver 2× GPU efficiency."
cambridgenexus.com/
(2/2) #AIFactory #AIOps
The way we value and build data centers is broken. For 30 years it was a real estate game: land, power contracts, megawatts (MW). In the Generative AI era, megawatts measure the wrong thing. The industry is shifting to the GPU Infrastructure Yield Layer. (1/5)
#AIInfrastructure
#NVIDIA’s new DSX platform connects IT and OT data, but a signal bus isn't an execution engine.
Enter Federator.ai Cortex: the intelligence layer that sits above DSX to autonomously decide and act before a coolant drift stalls your AI cluster.(4/5)
#AIFactory #ITOT
#FederatoraiCortex runs patented Cross-Layer Causal Analysis and MPC thermal tuning to push cluster utilization to 75–95% and recover 5–10% of throughput lost to thermal throttling. Read the full breakdown: prophetstor.com/2026/07/01/g… (5/5)
#TechLeadership #ROI #GPUBooster
Keep operational data locked on-premises with Cortex’s closed control loop to achieve zero data exfiltration for your Sovereign AI deployments.
#SovereignAI #DataSecurity #AIFactory
reurl.cc/xWXn21
Compress your AI Factory deployment from 12 months to 3 and unlock a $130M+ speed-to-market advantage.
#TimeToMarket #AIInfrastructure #NVIDIA
reurl.cc/xWXn21
Sync IT workloads with cooling in real-time to eliminate thermal throttling and achieve PUE ≤ 1.15.
#LiquidCooling #DataCenter #SustainableAI
reurl.cc/xWXn21
Double your GPU yield and stop leaking billions in stranded silicon with Cortex's perfect workload packing. #GPUUtilization #AIFactory #ROI
reurl.cc/xWXn21
Predict GPU crashes 72 hours in advance and seamlessly migrate workloads to achieve zero downtime.
#ZeroDowntime #AIOps #SelfHealing
reurl.cc/xWXn21
In the AI gold rush, "Time-to-Market" isn't just a buzzword—it's a financial weapon.
A typical AI data center takes 12–18 months to go from contract to "Live." In that time, the market moves, and revenue is lost.
(1/6) #AIFactory #TimeToMarket
Building Sovereign or Enterprise AI? Federator.ai Cortex provides:
✅ SOC2/HIPAA Readiness
✅ Native NVIDIA NIM/vLLM Support
✅ Modular DCOO Lifecycle Management
Get your ROI before the competition even finishes their blueprints.
(5/6) #SovereignAI #NVIDIA
Stop building from scratch. Start operating at scale.
Download the full datasheet to see how 𝗙𝗲𝗱𝗲𝗿𝗮𝘁𝗼𝗿.𝗮𝗶 𝗖𝗼𝗿𝘁𝗲𝘅 accelerates the future of AI: reurl.cc/qpVj4n
(6/6) #NCP #AIInfrastructure #FinTech #HealthTech #TechNews
ALT Compressing the AI Timeline: How Federator.ai Cortex Cuts Deployment from Years to Months
Liquid cooling is no longer "optional"—it's the lifeblood of the AI Factory.
But here’s the problem: In most data centers, the GPUs and the Cooling Systems don't talk to each other. When they lose sync, your $40k GPUs throttle and slow down.
(1/6) #AIFactory #LiquidCooling
When things go wrong, Federator.ai Cortex’s 𝗕𝗮𝘆𝗲𝘀𝗶𝗮𝗻 𝗗𝗔𝗚 identifies the root cause across 16 failure modes in seconds.
Is it a pump failure or a workload spike? Cortex knows, so your SREs don't have to guess.
(5/6) #Observability #SRE #FaultDetection
Next-gen AI Factories require next-gen Orchestration. Stop managing silos and start managing the full stack.
Read the specs on how we bridge IT & OT: reurl.cc/qpVj4n
(6/6) #FullStack #GPU #Blackwell #GB200 #DataCenter #NVIDIA
ALT The Thermal-Compute Nexus: Why Next-Gen AI Factories Require Vertical IT/OT Integration