Pitch Your 9 Slide Scalable AI Compute Infrastructure Like You’re Not Running It from Your Basement (Even If You Are) | Google Slides

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Viktor

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Alright, let’s get real for a second. You’ve got the next big thing in AI—an idea that could redefine how companies power their machine learning models. But, right now, your pitch is like trying to run GPT-4 on a potato. Not your fault—most people get too lost in the technical weeds. So if your presentations keep falling flat, it’s not your idea, it’s how you’re selling it.

I’m Viktor, a pitch deck expert and creative business strategist. Over the past 13 years, I’ve helped businesses secure millions of $ in funding thanks to my approach and I’m sharing it here in this pitch deck guide.

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9 Slide Scalable AI Compute Infrastructure | Google Slides

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Slide 1: Elevator Pitch

Headline: “Revolutionizing Machine Learning: Scalable Compute Infrastructure for AI Innovation.”

Content:

  • Name the Enemy: “Traditional compute infrastructures are inefficient, costly, and unfit for the rapid scaling needs of machine learning.”
  • Create Urgency: “AI is growing exponentially, and businesses need scalable compute solutions now.”
  • Agitate the Problem: “Current infrastructure leads to bottlenecks, slow model training, and costly inefficiencies.”
  • Offer the Missing Piece: “Our solution provides on-demand, scalable, and optimized compute infrastructure tailored for AI workloads.”
  • Spark Intrigue: “Introducing HyperScale: The cloud compute solution purpose-built for AI, providing efficiency and cost-effectiveness.”

Visuals:

  • Side-by-side comparison of traditional vs. optimized machine learning compute setups.

Slide 2: Investor Memo

Headline: “Why HyperScale is the Future of AI Compute”

Content:

  • Problem: “AI adoption is skyrocketing, but 70% of enterprises cite infrastructure limitations as a barrier to scaling their machine learning operations.”
  • Solution: “HyperScale delivers scalable, efficient, and AI-optimized infrastructure that grows with the business, reducing costs by 50% compared to traditional cloud solutions.”
  • Market Opportunity: “$300 billion by 2026: The global AI market is rapidly expanding, and compute infrastructure is at the core of that growth.”
  • Proven Traction: “Already serving 10+ Fortune 500 companies, reducing their ML model training time by 30%.”
  • Financials: “Raising $15M to scale operations, target new markets, and achieve $50M in revenue by 2026.”

Visuals:

  • Market opportunity graph and client testimonials.

Slide 3: Problem and Impact

Headline: “AI Infrastructure Needs Are Exploding – Traditional Solutions Aren’t Enough”

Content:

  • Agitate the Problem: “AI workloads are doubling every 3.5 months, but most infrastructures aren’t built to handle these demands.”
  • Create Urgency: “Without specialized infrastructure, companies are experiencing slower AI deployments, higher costs, and stalled innovation.”
  • Data: “A study by Gartner found that 85% of data science projects fail due to infrastructure limitations.”

Visuals:

  • Infographic showing the exponential growth of AI workloads vs. the slow growth of traditional infrastructure.

Slide 4: Market Opportunity

Headline: “$300 Billion AI Compute Market by 2026 – We’re Just Getting Started”

Content:

  • Market Size: “With a 38% CAGR, the AI market is growing rapidly, and compute infrastructure is the backbone of this growth.”
  • TAM, SAM, SOM: “Total addressable market: $300 billion. Serviceable available market: $120 billion. Serviceable obtainable market: $30 billion.”
  • Gap: “Existing cloud providers are not designed for the complexity of AI workloads. HyperScale provides the tailor-made solution.”

Visuals:

  • Pie chart of TAM, SAM, and SOM, highlighting HyperScale’s penetration potential.

Slide 5: Unique Solution

Headline: “HyperScale: Optimized Compute Infrastructure for AI Workloads”

Content:

  • Offer the Missing Piece: “HyperScale’s AI-specific cloud infrastructure cuts model training times by 30% while reducing cost-per-training by 50%.”
  • How It Works: “Our solution dynamically scales compute resources based on the workload demands of your AI models, ensuring peak efficiency.”
  • Customer Benefits: “Faster time to market, reduced costs, and optimized performance.”

Visuals:

  • Diagram of the HyperScale process, showcasing the scalability and integration with AI workflows.

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Slide 6: Proven Traction

Headline: “Rapid Growth and Real Results”

Content:

  • Key Metrics: “In just 12 months, HyperScale has onboarded 10+ Fortune 500 clients, optimized 500+ AI models, and saved companies $20M in infrastructure costs.”
  • Case Study: “Client X reduced their ML model training time by 30%, achieving a 40% reduction in overall infrastructure costs.”

Visuals:

  • Bar graph showing client growth and cost savings from case studies.

Slide 7: Team & Partnerships

Headline: “A Team with Deep AI and Cloud Expertise”

Content:

  • Team Credentials: “Our founding team includes experts from Google Cloud, NVIDIA, and Microsoft Azure, bringing over 50 years of combined experience in cloud and AI.”
  • Partnerships: “Strategic partnerships with leading AI research institutions and cloud providers.”

Visuals:

  • Team bios with photos and logos of strategic partners.

Slide 8: Financials & The Ask

Headline: “Scaling for Growth: Financial Projections and Funding Request”

Content:

  • Projections: “By 2026, we project $50M in revenue with a 200% YOY growth rate as AI adoption expands.”
  • The Ask: “We are raising $15M in Series A funding to expand operations, develop next-gen infrastructure, and scale to meet increasing demand.”

Visuals:

  • Financial projections chart, usage of funds, and roadmap milestones.

Slide 9: Vision & Closing

Headline: “Building the Future of AI Compute Infrastructure”

Content:

  • Long-Term Vision: “HyperScale aims to become the go-to compute provider for all AI-driven companies by 2030, empowering innovation and unlocking the full potential of AI.”
  • Call to Action: “Join us in revolutionizing AI infrastructure and shaping the future of technology. Invest now and be part of this transformation.”

Visuals:

  • Futuristic image depicting AI-driven innovations, highlighting the role of scalable compute infrastructure.

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Last Words

So, here we are. You’ve got the framework to pitch your scalable AI compute infrastructure like a pro. Whether you’re talking to a room full of investors or just trying to get buy-in from your team, this deck will keep you on track. Forget fluff. Focus on impact, growth, and what makes your solution the only choice for companies that are scaling their AI workloads.

At the end of the day, investors want to know one thing: why should they care? If you’ve followed along, you’ve already answered that. Now, it’s time to get out there and own the room.

Good luck—and remember, you’re not just pitching compute infrastructure, you’re pitching the future of AI. You got this!

But if you don’t got it:

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