Six Five Media
@TheSixFiveMedia
Deep analysis of the biggest news, releases, events, and rumors in tech. Hosted by @MoorInsStrat and @TheFuturumGroup Analysts.
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Cloud growth is outrunning the cash that funds it.
@awscloud hit its fastest growth in five years as Amazon's free cash flow falls to -$42B. @Oracle expands beyond @NVIDIA, while @AnthropicAI's S-1 raises the stakes on a $2T valuation.
@PatrickMoorhead and @danielnewmanUV unpack the headlines on Ep. 325 of The Six Five Pod.
$ORCL $AMZN
Tune in:
00:00:00 - Introduction
00:03:42 - Anthropic S-1 Filing Discussion
00:10:30 - Oracle's AI World + Investor Day Highlights
00:19:48 - Gemini 4 Carbon + Other Models
00:22:24 - Intel's Quantum Ambitions
00:29:31 - The Flip: Neocloud Consolidation Debate
00:35:52 - Bulls and Bears: Microsoft Earnings
00:37:17 - Alphabet Earnings
00:39:35 - ServiceNow Earnings
00:41:11 - Amazon Earnings
00:43:52 - Intel's Earnings and Future
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Process node scaling alone can't deliver the power and performance gains AI demands, and more of the gains now come from integration.
@SamsungDSGlobal's President Paul Cho tells @PatrickMoorhead how building HBM4's base die on Samsung's own 4nm process keeps integration in-house, from system to chip to memory. $SSNLF
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AI agents in chip design will start with the work engineers least want to do: data cleanup, timing constraints, and chip partitioning. @Synopsys's VP of AI and Machine Learning, Thomas Andersen, tells @BrendanBurkeX and @MattKimball_MIS that full spec-to-tape-out automation is doable, but won't arrive in the next six to twelve months. $SNPS
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6 out of 10 organizations still use keyword or hybrid search for their AI applications, and business users can lose trust from just 1 wrong answer. @Snowflake's Pavan Pothukuchi tells @brad_shimmin why semantic search and role-scoped agents matter for CoWork. $SNOW
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“Harvest now, decrypt later” isn’t a hypothetical threat.
State-sponsored actors are collecting encrypted data today, betting that quantum computing will eventually unlock it. @Broadcom’s Michael Jordan explains why data that must remain secure for decades faces the greatest risk. $AVGO
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AI is scaling faster than the guardrails meant to keep it in check.
Just 7% of roughly 300 senior leaders surveyed by @Veeam have a dedicated AI governance leader. CEO @anandeswaran tells @PatrickMoorhead the industry is repeating history: prioritizing speed and scale over safeguards.
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Don’t wait until every piece of your data infrastructure is cleaned up to modernize.
That’s the advice from @Snowflake CEO @RamaswmySridhar: prioritize the functions that matter most, modernize incrementally, and leverage on-site forward-deployed engineers when speed is critical.
With @danielnewmanUV and @PatrickMoorhead. $SNOW
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Agentic AI will impact the next evolution of the PC. Ketan Patel, @HP's President of Personal Systems, sizes the impact at nearly $6 trillion by 2028, with on-device AI models saving customers $1,000 to $2,000 per user, driving demand for premium PC's, and creating new software revenue opportunities. $HPQ
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Megawatt AI racks need 800 volts. Data centers will get there through 800 VDC, power rack sidecars, and liquid-cooled power supplies, without a full rebuild.
@FuturumGroup’s @DaveN007 speaks w/ Harry Petty of @nvidia, Jack Luoh of @QuantaQCT, and Simon Ong of LITEON Technology at OCP to unpack the shift across accelerated computing, system integration, and new power technology.
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AI is exposing mainframe vulnerabilities faster than traditional patching cycles can keep up. Quantum threats are raising the stakes.
On Ep. 46 of The Main Scoop, @danielnewmanUV and @Broadcom's @GregLotko are with Vertali Mainframe Service's Mark Wilson to discuss AI-driven security, faster patching, and post-quantum readiness.
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Google is bringing innovative technology to a sector that desperately needs it. TPUs, smart model routing, and zero trust for the agentic workforce. $GOOGL
Soon, government agencies could have 100 AI agents working on behalf of every employee, accessing systems never built for that scale. The implications for capacity, cost, and security are huge. @googlecloud Public Sector's Field CTO Chris Hein joins @PatrickMoorhead to discuss.
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Government employees in one CDAO deployment built 500,000+ AI agents without writing code. The constraint on gov AI isn’t the tech anymore. It’s workflows and habits. @Patrickmoorhead talked it through with @Googlecloud Public Sector’s Katharyn White. $GOOGL
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AI models change weekly, while connectivity silicon takes 18-24 months to design. That gap makes programmable FPGAs a companion to GPUs, CPUs, and custom ASICs in the data center and in physical AI systems. @PatrickMoorhead and Raghib Hussain, CEO @AlteraFPGA_ talk on where programmable logic fits.
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Running AI on one camera is easy. Managing it across 10,000 devices is another story.
Moe Beydoun of @TMobileBusiness tells @DaveN007 why AI workload placement should be driven by cost, performance, and operational complexity, not a preference for edge or cloud. $TMUS
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AI transformation doesn’t happen through a suggestion box.
@Dell Global CTO and CAIO @theICToptimist tells @DaveN007 why top-down leadership, governance, and targeted AI investments helped Dell grow revenue without proportional cost increases and why agents could reshape the entire organization. $DELL
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Customers shouldn't need to navigate your org chart to get a great experience.
@Qualtrics CEO @Jasonmaynard tells @danielnewmanUV how neuro-symbolic AI can break down silos, personalize experiences, and protect the proprietary intelligence that sets businesses apart.
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When the model says box and the driver says stay out, the strategy team’s view wins 99% of the time, says @MercedesAMGF1 Team Principal @TotoWolff_.
@PatrickMoorhead and @danielnewmanUV spoke w/ Wolff and @HPE CEO Antonio Neri at the U.S. Grand Prix about where the cost cap lets Mercedes spend on AI next.
$HPE
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For @Tanium CTO Harman Kaur, AI agent governance starts with consequences, not just risk. Can a mistake be reversed? Her advice is to start with reversible actions, build trust through experience, and let governance evolve alongside autonomy.
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Online, AI looks like it’s moving at singularity speed. In 200+ customer meetings across Europe, @Salesforce CEO @Benioff heard most enterprises say they haven’t started their AI transformation. His view for @danielnewmanUV and @PatrickMoorhead: the move to AI has to preserve the security, governance, and trust companies already depend on. $CRM
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The money companies lose on deleted data mostly comes from missed opportunity, and @Seagate CEO Dave Mosley told @PatrickMoorhead that he expects that to push the industry away from offline cold storage. His POV: as exabytes grow, nearline becomes the preferred place to keep data. $STX
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