WhiteFiber, Inc. (WYFI)
NASDAQ (CM) 
Summary
WYFI Chart
WhiteFiber, Inc. Investors
| Name | Quantity | Cost | Value | Profit ($) | Gain (%) |
|---|---|---|---|---|---|
 Point72 Asset Management LP Point72 Asset Management LP | 27,000 | $426,600 | $662,850 | $236,250 | 55.38% |
| JC Joseph Castro Nuveen LLC | 12,752 | $201,482 | $313,061.6 | $111,579.6 | 55.38% |
| MS Mark Schafer Police & Firemen's Retirement System of New Jersey | 2,792 | $44,114 | $68,543.6 | $24,429.6 | 55.38% |
| SAL Situational Awareness LP Situational Awareness LP | 1.76M | $27.77M | $43.15M | $15.38M | 55.38% |
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WhiteFiber, Inc. Profile
| - Industry | - Sector | Mr. Billy Krassakopoulos CEO | NASDAQ (CM) Exchange | G96115103 CUSIP |
| United States Country | 83 Employees | - Last Dividend | - Last Split | - IPO Date |
Overview
WhiteFiber, Inc. is a leader in artificial intelligence and high-performance computing infrastructure, specializing in data center solutions and GPU cloud services tailored for AI and machine learning workloads. By adopting a vertically integrated business model, WhiteFiber successfully merges Tier-3 data centers with advanced cloud-based GPU services. This strategic combination ensures hosting, colocation, and specialized cloud infrastructure are optimized for generative AI applications, which includes both training and inference processes. With multiple state-of-the-art data center facilities, WhiteFiber offers high-density power capabilities, direct liquid cooling, and robust networking technologies. The company's focus is on delivering GPU-as-a-Service solutions that integrate NVIDIA GPUs with enterprise-level storage and networking technologies, allowing clients to scale their computational resources effectively. WhiteFiber primarily caters to AI application developers, machine learning teams, and organizations that require either dedicated or cloud-based HPC infrastructures. The company has established a strong presence across North America, with operational sites in Canada, the United States, and Iceland. WhiteFiber successfully launched its initial public offering in August 2025 and is headquartered in New York.
Products and Services
- Data Center Solutions:
WhiteFiber's data centers are designed to meet high-performance computing requirements, featuring Tier-3 specifications and exceptional power density. These facilities support various applications, ensuring reliable and efficient operation for AI and machine learning workloads.
- GPU Cloud Services:
The company offers cloud-based GPU services specifically tailored for AI and machine learning. These services include GPU-as-a-Service, enabling organizations to access high-performance GPUs on-demand to facilitate both training and inference tasks efficiently.
- Hosting and Colocation:
WhiteFiber provides comprehensive hosting and colocation services, allowing businesses to house their IT equipment within their advanced data centers. This service ensures enhanced security, reliability, and continuous support for critical computing resources.
- Generative AI Infrastructure:
Specially optimized infrastructure for generative AI applications is a hallmark of WhiteFiber's offerings. The company configures its facilities to cater uniquely to the demands of generative AI processes, allowing clients to harness maximum computational power.
- High-density Power and Liquid Cooling:
WhiteFiber's data centers are equipped with advanced high-density power systems and direct liquid cooling technologies. This allows for efficient heat management and ensures uninterrupted operation, which is crucial for intense computational workloads.
- Networking Capabilities:
With advanced networking capabilities, WhiteFiber guarantees high-speed connectivity and data transfer rates across its services, enhancing the performance of applications and facilitating seamless access to resources.
- Scalable Enterprise Solutions:
The scalable GPU-as-a-Service solutions empower clients to adapt their computational resource needs flexibly. By combining cutting-edge NVIDIA GPUs with enterprise storage and networking technologies, organizations can efficiently manage costs while scaling their workloads.
