Resource center

legacy modernization, federal IT, mainframe, COBOL, VM migration, VMware, AI infrastructure, GPU, government, public sector, common infrastructure, GAO, Palette VerteX, PaletteAI VerteX, Spectro Cloud, blog

tactical edge, edge computing, government, public sector, federal agencies, field deployments, distributed infrastructure, fleet management, edge AI, disconnected operations, CISA BOD 26-02, cluster profiles, Palette VerteX, Spectro Cloud, blog

FedRAMP, FedRAMP 20x, FedRAMP Class C, FedRAMP Moderate, Rev5, GovRAMP, TX-RAMP, CMMC, ISO 27001, SOC 2, NIST 800-53, 3PAO, continuous monitoring, POA&M, CVE fix times, KEV, EU Cyber Resilience Act, STIG, named STIG, secure by default, OpenSSF, shared responsibility, customer responsibility matrix, authorization boundary, Palette VerteX, public sector, government, compliance, security, Joi Frederick, Rob Eckhardt, Ant Newman, Spectro Cloud, interview, video

SNUC, extremeEDGE, NANO-BMC, PaletteAI, PaletteAI VerteX, Spectro Cloud, edge Kubernetes, edge AI, edge computing, rugged edge servers, fanless servers, 80 TOPS, validated stack, joint platform, two-node high availability, witness node, offline resiliency, out-of-band management, powered-off nodes, truck rolls, point of sale, SCADA, command and control, VMs and containers at the edge, FedRAMP Moderate, GovRAMP, FIPS 140-3, air-gapped, retail, manufacturing, defense, partner video

high availability, edge Kubernetes, two-node HA, witness node, quorum, split-brain, Portworx, Everpure, Pure Storage, synchronous replication, persistent storage, stateful applications, edge computing, PaletteAI, Kairos, immutable OS, KubeVirt, virtual machines, resilient storage, edge infrastructure, Spectro Cloud, white paper

AI ROI, token economics, token costs, inference costs, financial services AI, banking AI, regulated industries, GDPR, trustworthy AI, auditable AI, model routing, frontier models, open-weight models, local inference, private AI, GPU supply, rent vs buy compute, neocloud pricing, data center repatriation, pilot to production, panel recap, Tenry Fu, Shipali Jangra, Steve Hou, Virju Patel, American Express, Silicon Data, Data Maverick, Supermicro, AMD, Ignite Community, Spectro Cloud, blog

AI ROI, token economics, token costs, inference costs, financial services AI, banking AI, regulated industries, GDPR, model routing, frontier models, local inference, private AI, GPU supply, idle GPUs, pilot to production, Tenry Fu, Shipali Jangra, Steve Hou, Virju Patel, American Express, Silicon Data, Data Maverick, Supermicro, AMD, Ignite Community, panel, event video, Spectro Cloud

GPU utilization, idle GPUs, GPU shelfware, tokenomics, token costs, frontier model costs, local inference, on-prem AI, self-hosted LLM, open-weight models, model routing, intelligent router, shift down, DRA, dynamic resource allocation, MIG, multi-instance GPU, vLLM, performance tuning, time to first token, tokens per second, concurrency, PaletteAI Inference Launchpad, TeraSky, webinar recap, AI economics, AI infrastructure, Kubernetes AI, Scott Rosenberg, Pedro Oliveira

PaletteAI Inference Launchpad, Inference Launchpad, dogfooding, customer zero, local inference, on-premises AI, open-weight models, GLM 5.3 Flash, GLM 5.2, NVIDIA B200, Claude Code, Claude Opus 5, token costs, AI coding tools, coding agents, semantic routing, routing map, spending limits, prompt caching, cached tokens, AI TCO, GPU server, concurrent users, capacity planning, prompt injection, Ray Krueger, Ant Newman, Spectro Cloud

production AI economics, AI unit economics, GPU utilization, idle GPUs, multi-tenancy serving, frontier token costs, local inference, open models, model routing, token throughput, time-to-first-token, inference tuning, AI infrastructure, CIO AI budget, TeraSky, Scott Rosenberg, Pedro Oliveira, PaletteAI, Spectro Cloud, webinar