
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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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
Replying to @CNEX_HQ
@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
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

