Private Markets, Angel and Secondary Investing, Sacra

Sacra

Private Markets, Angel and Secondary Investing

Bringing transparency to private markets so investors, founders, and employees can build on conviction. Sacra delivers deeply researched insights on the private companies shaping tomorrow's markets. By surfacing the data, context, and operator perspective that are missing from private markets today, we help secondary buyers and sellers price equity accurately and unlock liquidity for the people building these businesses.

Private Capital Markets

<ul><li>Sacra estimates that Fluidstack reached $180M in annual recurring revenue (ARR) in December 2024, reflecting 620% year-over-year growth from $25M in 2023.</li><li>The company manages more than 100,000 GPUs across its network and serves AI companies such as Meta, Mistral, Character.AI, Poolside, and Black Forest Labs.</li><li>Fluidstack is in talks to raise $1B at an $18B valuation, with Jane Street and Situational Awareness in discussions to co-lead the round and Morgan Stanley advising, as of April 2026.</li></ul>

Sacra estimates that Fluidstack reached $180M in annual recurring revenue (ARR) in December 2024, reflecting 620% year-over-year growth from $25M in 2023.The company manages more than 100,000 GPUs across its network and serves AI companies such as Meta, Mistral, Character.AI, Poolside, and Black Forest Labs.Fluidstack is in talks to raise $1B at an $18B valuation, with Jane Street and Situational Awareness in discussions to co-lead the round and Morgan Stanley advising, as of April 2026.

<ul><li>As AI teams balance inference and training workloads, they're choosing serverless approaches for training to avoid paying for 24/7 fixed GPU allocation, while GPU availability and pricing drive provider selection.</li><li>As API-generated platforms face variable loads, serverless GPU infrastructure automatically scales resources up and down based on demand, eliminating the cost inefficiency of 24/7 on-demand instances.</li><li>While pricing matters, the availability of diverse GPU options (from 16GB to 180GB VRAM) combined with ready-made community templates for experimentation creates meaningful differentiation between GPU cloud providers.</li></ul>

As AI teams balance inference and training workloads, they're choosing serverless approaches for training to avoid paying for 24/7 fixed GPU allocation, while GPU availability and pricing drive provider selection.As API-generated platforms face variable loads, serverless GPU infrastructure automatically scales resources up and down based on demand, eliminating the cost inefficiency of 24/7 on-demand instances.While pricing matters, the availability of diverse GPU options (from 16GB to 180GB VRAM) combined with ready-made community templates for experimentation creates meaningful differentiation between GPU cloud providers.

RunPod Customer At Segmind On GPU Serverless Platforms For AI Model Deployment

<ul><li>Voltage Park received $500 million in initial funding in October 2023 from Navigation Fund, the endowment founded by Stellar co-founder Jed McCaleb.</li><li>Voltage Park operates a dual-revenue model combining on-demand GPU rentals with longer-term dedicated capacity contracts.</li><li>The June 2025 launch of managed Kubernetes moves Voltage Park up the stack from raw infrastructure toward platform services.</li></ul>

Voltage Park received $500 million in initial funding in October 2023 from Navigation Fund, the endowment founded by Stellar co-founder Jed McCaleb.Voltage Park operates a dual-revenue model combining on-demand GPU rentals with longer-term dedicated capacity contracts.The June 2025 launch of managed Kubernetes moves Voltage Park up the stack from raw infrastructure toward platform services.

<ul><li>Lambda Labs wins on price and flexibility for training workloads, while AWS provides reliability for inference despite higher costs.</li><li>The GPU cloud market splits between NeoClouds (Lambda, CoreWeave) offering lower prices and more configurability versus traditional hyperscalers (AWS, GCP, Oracle) with enterprise-grade but expensive infrastructure.</li><li>There's an untapped opportunity for a "DigitalOcean for machine learning" that combines affordable GPUs with researcher-friendly tooling.</li></ul>

Lambda Labs wins on price and flexibility for training workloads, while AWS provides reliability for inference despite higher costs.The GPU cloud market splits between NeoClouds (Lambda, CoreWeave) offering lower prices and more configurability versus traditional hyperscalers (AWS, GCP, Oracle) with enterprise-grade but expensive infrastructure.There's an untapped opportunity for a "DigitalOcean for machine learning" that combines affordable GPUs with researcher-friendly tooling.

Lambda Customer At Iambic Therapeutics On GPU Infrastructure Choices For ML Training And Inference

<ul><li>We spoke with a customer from a robotics company who uses Voltage Park alongside their own GPU infrastructure for quantum mechanics and density functional theory workloads.</li><li>The conversation explores how they evaluate GPU cloud providers primarily on price and reliability, with insights on why specialized providers often outperform hyperscalers for GPU availability despite minimal differentiation in the market.</li><li>A misconception that comes up a lot is that you do not need the newest and greatest all the time.</li></ul>

We spoke with a customer from a robotics company who uses Voltage Park alongside their own GPU infrastructure for quantum mechanics and density functional theory workloads.The conversation explores how they evaluate GPU cloud providers primarily on price and reliability, with insights on why specialized providers often outperform hyperscalers for GPU availability despite minimal differentiation in the market.A misconception that comes up a lot is that you do not need the newest and greatest all the time.

Voltage Park Customer At Robotics Company On GPU Pricing And Robotics Computing Needs

United States

Cloud GPU provider for training and fine-tuning AI models at scale

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Lambda Labs (LABS US)

Primer: Fluidstack - 27 Apr 2026

GPU rental service connecting AI startups with underutilized data center compute capacity

Sacra

RunPod Customer At Segmind On GPU Serverless Platforms For AI Model Deployment

Which GPU providers are you primarily working with today...

Sacra

Primer: Voltage Park - 06 Oct 2025

Cloud-based AI infrastructure providing scalable, cost-effective GPU solutions for machine learning workloads

Sacra

Lambda Customer At Iambic Therapeutics On GPU Infrastructure Choices For ML Training And Inference

Which cloud GPU providers do you currently work with most frequently...

Sacra

Voltage Park Customer At Robotics Company On GPU Pricing And Robotics Computing Needs

Can you tell me which GPU providers you primarily work with today...

Sacra

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