HardwareSan Jose, California, United StatesFounded 2012· One of 1739 Hardware companies tracked by AMPulse
Provides AI computing infrastructure, including cloud GPUs, on-demand clusters, and private cloud solutions for AI training and inference.
CEO / Founder
Stephen Balaban
Team Size
501-1000
Stage
Active
Total Funding
$3.15B
Latest Round
Series E
Key Investors
TWG Global; US Innovative Technology Fund; Andra Capital; SGW; NVIDIA; ARK Invest; Andrej Karpathy; Mercato Partners; Gradient Ventures; 1517 Fund; Bloomberg Beta
Technology & Products
Key Products
Cloud GPUs, on-demand clusters, private cloud, and hardware for AI training and inference (B200 and H100 GPUs). Managed services for AI and HPC.
Technological Advantage
Proprietary high-speed FDM process accelerates polymer composite manufacturing, potentially reducing production cycles from weeks to days.
Differentiation
Value Proposition
Reduces lead times and costs for AI development by providing high-speed, cost-effective GPU cloud infrastructure and managed services.
How They Differentiate
Specializes in AI workloads, offering competitive pricing for GPU instances (e.g., Nvidia H100 PCIe) and providing production-grade orchestration and cluster operations for AI and HPC.
Market & Competition
Target Customers
Manufacturers and researchers in polymer composite production
Industry Verticals
Manufacturing; Research
Competitors
AWS SageMaker, Google Cloud Vertex AI, Microsoft Azure Machine Learning, Voltage Park, RunPod, Vast.ai.
Growth & Milestones
Growth Metrics
Raised over $3.15B in total funding; 750+ employees as of 2026; Serving over 2,000 enterprise customers as of 2023
Major Milestones
2012: Founded as AI photo editing app; 2025: $480M Series D funding round; 2025: $1.5B Series E funding round; 2026: Appointed Leonard Speiser as COO
Lambda supplies GPU cloud infrastructure, on-demand clusters, and private cloud solutions tailored for AI training and inference workloads. Founded in 2012, the company positions itself as a wholesale capacity provider, a 'foundry' behind hyperscalers and independent AI labs, emphasizing competitive pricing for GPU instances such as Nvidia H100 and B200 hardware.
The company's core offering includes cloud GPUs, on-demand clusters, and managed services for AI and high-performance computing. Lambda differentiates through production-grade orchestration and cluster operations, targeting AI researchers, enterprises, and hyperscalers. Key partnerships with NVIDIA and Microsoft support its hardware and cloud infrastructure deals.
Lambda has raised over $3.15 billion in total funding from investors including TWG Global, NVIDIA, ARK Invest, and Andrej Karpathy. As of 2026, the company employs more than 750 people and served over 2,000 enterprise customers by 2023. Major milestones include a $480 million Series D in 2025 and a $1.5 billion Series E in the same year.
Competitors include AWS SageMaker, Google Cloud Vertex AI, Microsoft Azure Machine Learning, Voltage Park, RunPod, and Vast.ai. Lambda's focus on AI-specific workloads and cost-effective GPU instances provides a distinct position in the crowded cloud infrastructure market, though it faces ongoing pressure from larger cloud providers with broader ecosystems.