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- ☁️ Cloud vs. On-Prem: Making the Right Infra Choice 💰Record $50B Raised in March! 🪩 Startup Grind + AI INFRA
☁️ Cloud vs. On-Prem: Making the Right Infra Choice 💰Record $50B Raised in March! 🪩 Startup Grind + AI INFRA

☁️ Cloud vs. On-Prem: Making The Right Infra Choice
The infrastructure housing an organization's data represents one of its most crucial strategic decisions. Choosing between public cloud services and in-house data centers impacts operational costs, agility, and competitive advantage.

The Public Cloud Advantage
The cloud revolution has transformed IT infrastructure approaches. Public cloud platforms eliminate capital expenditures on hardware, shifting to an operational expense model where you pay only for resources used. This conserves cash flow and reduces financial barriers for startups and growing businesses.
Scalability remains the cloud's most compelling benefit. Organizations can instantly adjust resources to match demand—enabling agility without overprovisioning. Time-to-market acceleration is equally valuable; while traditional deployments might take months, cloud resources can be provisioned in minutes.
Access to cutting-edge technologies represents another advantage. Cloud providers continuously roll out advanced services like AI, machine learning, and analytics tools that would be prohibitively expensive for most organizations to develop independently.
Despite these advantages, the financial equation changes as organizations grow. According to Andreessen Horowitz's analysis, cloud costs can consume up to 50% of gross margins for software companies. This "cloud tax" becomes particularly problematic for companies with predictable workloads operating at scale.
For established companies, cloud services over a five-year period can cost more than double the expense of equivalent in-house infrastructure. This economic reality has prompted companies like Dropbox to repatriate core workloads, saving nearly $75 million over two years.

The Case for Building Your Own Data Center
With in-house data centers, businesses gain complete control over hardware specifications, software configurations, and security protocols. This customization proves invaluable for specialized workloads or legacy systems.
Security-conscious enterprises often favor private data centers to implement tailored security measures without shared-resource risks. Financial institutions, healthcare providers, and government agencies frequently choose this route to maintain physical oversight of sensitive information.
As a16z's analysis reveals, companies that have repatriated workloads from public cloud have seen infrastructure costs reduced by 50% or more, directly improving gross margins and market capitalizations.
Finding the Right Balance
Most enterprises benefit from hybrid approaches. Hybrid infrastructure strategies allow organizations to maintain stable workloads on-premises while leveraging cloud resources for variable demands, development environments, or specific applications.
When evaluating options, businesses should consider:
Workload characteristics and performance requirements
Data sensitivity and compliance obligations
Available IT expertise
Growth projections
Total cost of ownership across multiple years
The most successful organizations approach this as an optimization problem rather than a binary choice. This might mean using cloud services for rapid prototyping, geographic expansion, and bursty workloads, while keeping predictable workloads on controlled infrastructure.

The Evolution of Infrastructure Strategy
As technology advances, the distinctions between private and public infrastructure continue to blur. Edge computing, containerization, and orchestration tools are creating new possibilities for distributed architectures.
Companies increasingly adopt "cloud arbitrage"—maintaining capability to run workloads across multiple environments. This flexibility allows continuous optimization for cost, performance, and operational efficiency.
Success isn't about picking sides in the cloud versus on-premises debate, but developing technical capabilities to make informed, workload-specific decisions aligned with business objectives and financial realities.
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💵Bay Area Startups Secured $50.3B In March
March fundings hit a new all-time high of $50.3B, buoyed by OpenAI's $40B deal (the largest private market funding ever), and another 13 megadeals that totaled $7.8B. The majority of the latter were in AI infrastructure, with $1B going to social networks and another $1.1B to AI-native and AI-enabled software apps.
Fundings by Month, 2025 - 2021
On exits, M&A: March was a month of billion-dollar acquisitions across six sectors, for a total of $66.4B. There were two biotech/medical ($1.18B), four in AI ($53.52B), two insurtech ($3.8B), one customer service ($2.85B), one gaming ($3.85B) and one fintech ($1.5B). Half of these were stock-based and won't impact liquidity in the short term, but the other half will offer some liquidity once the transactions close.
IPO Watch: The CoreWeave IPO ended flat on opening day, but has since taken an upward turn. However, the imposition of tariffs this week and subsequent downward plunge of the market has halted all pending tech IPOs and appears likely to eliminate any 2025 resurgence of IPOs as a vehicle for liquidity to VCs, LPs and founders.
Follow us on LinkedIn to stay on top of what's happening in 2025 in startup fundings, M&A and IPOs, VC fundraising plus executive & investor activity.
Early Stage:
Unframe closed a $50M Series A, an all-in-one enterprise AI platform that enables businesses to bring any unique AI use case to life in hours, rather than months.
Fourier closed a $18.5M Series A, working on making on-site Hydrogen universally accessible using breakthrough architecture enabling highly modular and fully automated electrolyzers that scale to any size and optimize efficiency at all loads.
AthenaHQ closed a $15M Series A, helps companies dominate AI search results with generative engine optimization (GEO).
Prowler closed a $6.5M Seed with $12.5M, the most comprehensive Open Source platform for cloud security.
Cambrian Network closed a $5.9M Seed, provides foundational infrastructure for agentic finance, serving fast, complete, and verifiable blockchain data.
Growth Stage:
SandboxAQ closed a $125M Series E, delivering solutions at the intersection of AI and quantum techniques using Large Quantitative Models (LQMs) to deliver critical advances in life sciences, financial services, navigation, and other sectors.
Neurona Therapeutics closed a $102M Series F, developing allogeneic, off-the-shelf, regenerative neural cell therapy product candidates with the potential to provide long-term targeted repair of the nervous system following a single administration.
Redpanda Data closed a $100M Series D, a real-time data platform that powers agentic and operational applications by integrating real-time event processing, historical analytics, and AI connectivity into a unified system.
Cyberhaven closed a $100M Series D, the AI-powered data security company revolutionizing how companies detect and stop the most critical threats to their most important data.
Thatch Health closed a $40M Series B, an all-in-one platform that makes it easy to offer your employees the most personalized healthcare experience.

🚀 Startup Grind 2025 | April 29–30, Silicon Valley
Two days. Unlimited opportunity. Join 5,000+ founders, 400+ investors, and 150+ exhibiting startups at the mecca of tech innovation.

What to expect:
Investor Access: 12,000 minutes of 1:1 time with top angels and VCs
Actionable Insights: 175+ sessions, workshops, and live Q&As
Global Exposure: 150+ exhibiting startups from around the world
Proven Impact: $1.5B+ raised by top exhibitors since 2020
Community: Founders, funders, and future-makers under one roof
Whether you’re pitching, fundraising, hiring, or scaling — this is where it happens. Connect directly with investors, build customer pipelines, and get real-time feedback from mentors and peers.
🎟️ For 25% off, use code Ignite_25→[https://www.startupgrind.tech/]
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April 29–30, 2025 | Redwood City, CA
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Head of Content // Team Ignite
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