d-Matrix vs Baseten
Side-by-side comparison
Overall Winner: Baseten (Score: 80)
D
d-Matrix
🇺🇸 Sid Sheth
68
B
Baseten
🇺🇸 Tuhin Srivastava
80
| Metric | d-Matrix | Baseten |
|---|---|---|
| Valuation | $2B | $5BWinner |
| Total Funding | $450M | $585MWinner |
| Founded | 2019 | 2019 |
| Stage | Series C | Series E |
| Employees | 150 | 150 |
| Country | USA | USA |
| Category | AI Infrastructure | AI Infrastructure |
| Awaira Score | 68 | 80Winner |
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Frequently Asked Questions
Is d-Matrix bigger than Baseten?▾
No, Baseten has a higher valuation ($5B) compared to d-Matrix ($2B).
Which company raised more funding — d-Matrix or Baseten?▾
d-Matrix raised $450M while Baseten raised $585M.
Which company has a higher Awaira Score?▾
Baseten has the higher Awaira Score of 80.
What does d-Matrix do vs Baseten?▾
d-Matrix: d-Matrix is an AI infrastructure company founded in 2019 that develops hardware and software solutions optimized for generative AI and large language model inference. The company designs specialized processors and system architectures to improve the efficiency and cost-effectiveness of deploying AI models at scale. d-Matrix's core technology focuses on reducing latency and power consumption in AI workloads, addressing key bottlenecks in data center operations.
The company has raised $450 million across funding rounds, achieving a $2.0 billion valuation as of its Series C stage. d-Matrix competes in the competitive AI infrastructure market alongside companies developing custom silicon and inference acceleration platforms. Its approach targets enterprises and cloud providers requiring optimized inference capabilities for large-scale AI deployments.
The company operates within the growing segment of AI infrastructure providers that emerged to support the infrastructure demands of modern generative AI applications. d-Matrix's positioning emphasizes efficiency gains and operational cost reduction compared to standard computing infrastructure. The company addresses a critical market need as organizations seek to deploy AI models economically while maintaining performance requirements. Its technology appeals to data center operators and enterprises managing substantial inference workloads. d-Matrix represents the category of specialized hardware companies built to support the computational demands of contemporary AI systems. The company's trajectory reflects broader industry expansion in AI infrastructure optimization and deployment technologies. d-Matrix specializes in inference optimization hardware specifically designed to reduce the computational and energy costs of deploying large language models at scale.. Baseten: Baseten is an AI infrastructure company that provides a platform for deploying, scaling, and managing machine learning models in production. Founded in 2019, the company offers a serverless computing environment specifically designed for AI workloads, enabling developers and organizations to run large language models and other AI applications without managing underlying infrastructure. The platform handles model serving, auto-scaling, and resource optimization, abstracting away operational complexity. Baseten supports various model types and frameworks, allowing users to deploy custom models or utilize pre-built solutions. The company targets enterprises and developers requiring reliable, scalable inference infrastructure for AI applications. Its technology stack emphasizes performance optimization and cost efficiency for computationally intensive AI workloads. Baseten has secured $585 million in total funding, achieving a $5.0 billion valuation, positioning it among well-capitalized AI infrastructure providers. The company operates in a competitive landscape alongside similar platforms offering model deployment and inference services. Its growth trajectory reflects increasing enterprise demand for managed AI infrastructure solutions as organizations accelerate AI adoption. The Series E funding stage indicates maturity and substantial market validation. Baseten competes with other infrastructure providers offering model serving capabilities, differentiated through its focus on ease of use and performance optimization for production AI workloads. Baseten addresses the critical infrastructure gap between AI model development and reliable production deployment at scale..
Which company was founded first?▾
Both were founded in 2019.