Spectro Cloud hosted a webinar featuring a boss fight on September 9.
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Publisher name
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A webinar with a boss fight is a first for me. The level I care about is the live demo, watching requests actually route between local and frontier in real time beats an…
Company
Spectro Cloud
The fast lane to production AI.
- Industry
- Software Development
- Location
- San Jose, US
- Company size
- 201–500 employees
About Spectro Cloud
Getting AI from pilot to production is a widespread problem. Spectro Cloud is the fast lane: we help enterprises, sovereign AI clouds and public sector organizations build, govern and operate AI infrastructure in any environment, from edge to cloud, and from metal to token factory. We're proud that customers like GE HealthCare, Yum! Brands, the U.S. Air Force, and other organizations trust us with their biggest infrastructure challenges, from zero-downtime operations across thousands of sites to standing up production AI in 30 days. Behind those results is PaletteAI, our AI infrastructure management platform built for scale. It's the only platform that manages VMs, containers and AI workloads in one place, with one operating model, and consistent policy, access and cost controls everywhere. It runs wherever you do, including air-gapped, sovereign and regulated environments. Every team starts somewhere, whether that's standing up an AI factory, cutting inferencing costs, moving off VMware, scaling the edge or taming a Kubernetes fleet. Pick the problem in front of you today, start with a single-cluster turnkey appliance, then grow to thousands of clusters at your pace.
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Latest activity from Spectro Cloud
24 signals
Products & Services
Spectro Cloud is playing co-op with AMD on September 9 to give users the cheat code to beat the final boss of enterprise AI token costs.
Presence & Recognition
Spectro Cloud will be exhibiting at the AI Infra Summit in Santa Clara from September 15 to 17, booth 646.
Research & Knowledge
Spectro Cloud researcher Saad and Kumaran conducted a 30-minute analysis on local inference and its impact on workload savings on September 9.
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