Fractal Computers

PUBLIC
United States, Harvard University
Fractal Computers

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Vue d’ensemble du projet

Fractal streams GPU-powered cloud computers to any local device. This means that your entire desktop, containing all your applications and settings, lives in a datacenter and is accessible from any device. Our first product is the Cube, a Windows 10 desktop computer that runs natively in the cloud. High-end personal computing is expensive and non-flexible. People who require powerful GPU workstations either need to spend $2,000+ buying a desktop computer which isn't portable, or work from an underpowered laptop and face hardware issues and lack of features. Fractal solves this problem by building GPU-powered workstations in the cloud, which then get streamed to a user's computer at ultra-low latency. Fractal is primarily intended for creative professionals and productivity workers. These are people who typically require a powerful workstation to do creative work (rendering, modeling, etc.) using Adobe/Maya/Blender, or who use VS Code or such from underpowered devices. Our five-year goal is to align our solution with the full-scale arrival of 5G (projected 2025), which will provide enough Internet bandwidth and coverage to make cloud laptops a viable replacement to personal laptops.

À propos de l’équipe

Philippe is a senior at Harvard University studying Computer Science and Neuroscience. After interning as a Program Manager Intern at Microsoft Azure in the summer of 2019, Philippe set to use cloud technologies to make computing more affordable. He is passionate about tech for social impact, entrepreneurship, human-inspired AI and philosophy. He plays the guitar and likes to run. Ming is a senior at Harvard University studying Statistics and Computer Science. He previously worked on a startup, vaultima.com, helping spread financial literacy to millennials and Gen Z generations, and has prior experience in quantitative research and software engineering at AQR and Fidelity. He plays the guitar and is a huge tennis fan. Ming's expertise is full stack development/computer hardware, while Phil has worked with low-level systems since high school. We have built all the necessary software and hardware ourselves. We have technical expertise and business acumen to ship products from ideation to production. Phil founded Methanergics with funding from the Harvard Kennedy School to plan a million-dollar biogas plant, a year-long project involving many engineers. Ming developed the architecture of Rough Draft-backed vaultima.com.

Technologies que nous souhaitons utiliser dans nos projets

3D Printing
Azure
C
Internet of Things (IoT
Virtual Machines

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