Daily Tech: Building the Future, DVLT, CXAI, GPUS, and IonQ Drive AI & Quantum Growth

FutureGate | September 29 2025

DVLT Secures $150M to Build U.S. Supercomputer & Data Exchanges

DVLT announced a $150 million strategic investment from Scilex Holding Company, a capital injection earmarked for building a next-generation supercomputer and developing independent data exchanges across the U.S. The supercomputer will be targeted at AI training workloads and advanced simulations, while the data exchanges aim to decentralize data ownership and provide secure infrastructure for enterprises and researchers.From a sector view, this positions DVLT to capitalize on two structural tailwinds: (1) the increasingly scarce supply of high-performance compute for AI developers, and (2) regulatory momentum favoring domestic data sovereignty. For investors, the deal highlights growing institutional confidence in infrastructure providers beyond the “mega-cap” tech firms, potentially paving the way for niche players to capture market share in a rapidly expanding data economy.

CXAI to Showcase Agentic AI Across Global Tech Hubs

CXAI unveiled a packed October 2025 conference agenda focused on demonstrating its agentic AI workplace platform, which leverages autonomous AI agents to improve employee productivity and enterprise workflows. Key appearances include:

• WORKTECH New York at BlackRock HQ – targeting global asset managers and financial firms

• San Francisco Tech Week – exposure to early adopters and tech investors

• WORKTECH San Francisco at Meta – integration discussions within consumer & enterprise ecosystems

• CoreNet Global Summit in Anaheim – C-suite networking in real estate, workplace design, and enterprise technology adoption

CXAI will host private demonstrations and executive-level engagements to showcase live use cases. The company’s go-to-market strategy mirrors that of other AI-first SaaS platforms, where enterprise adoption depends heavily on credibility and high-touch client engagement. For investors, visibility at this scale provides CXAI with pipeline growth potential and possibly partnerships with Fortune 500 firms — a necessary next step for scaling beyond its early adopter base.

GPUS Launches Michigan Campus to Power NVIDIA Blackwell Infra

GPUS has initiated a major hyperscale data center expansion in Michigan to support NVIDIA’s Blackwell AI infrastructure, part of the next-generation GPU architecture designed for high-throughput AI model training and inference.The Blackwell rollout represents a generational shift for AI hardware, with NVIDIA’s ecosystem demanding massive data center capacity capable of supporting training clusters that scale to hundreds of thousands of GPUs. GPUS’s campus aims to deliver both power density and cooling efficiency, positioning it as a critical enabler of NVIDIA’s AI dominance.For investors, this project underscores the capital intensity of AI infrastructure build-outs — hyperscale operators like GPUS are increasingly becoming gatekeepers for AI deployment. Given AI’s compute demand outstripping supply, operators able to secure grid access, real estate, and supply chain priority stand to capture outsized economics in the build cycle.

IonQ Achieves AQ 64 Milestone Ahead of Schedule

IonQ reported its quantum system achieved Algorithmic Qubit (AQ) 64 — a critical industry benchmark that reflects how many qubits can be used effectively in algorithms, not just in raw hardware count. Achieving this milestone ahead of schedule signals continued execution against IonQ’s roadmap toward commercial-grade quantum computing.The AQ framework is particularly important for investors: it cuts through inflated “qubit race” claims by focusing on practical algorithmic performance. IonQ’s progress validates its technology stack and strengthens its competitive moat against rivals such as Rigetti and IBM Quantum. For institutional investors, the milestone demonstrates IonQ’s ability to deliver on technical timelines, a factor that directly influences enterprise adoption and partnerships. Longer term, milestones like AQ 64 accelerate quantum’s transition from experimental to commercially viable workloads, including drug discovery, logistics optimisation, and AI model acceleration.