Osso VR VS Cloud GPU

• Immersive Training
  Osso VR provides highly realistic and immersive virtual reality environments that help medical professionals practice surgical procedures without the need for a physical setting.
• Scalability
  The platform can be scaled to accommodate a wide range of medical procedures and specialties, making it versatile for different training needs.
• Remote Accessibility
  Users can access the training modules from anywhere, which is particularly beneficial during times when in-person training is challenging.
• Enhanced Engagement
  The use of VR technology significantly increases user engagement and retention of information compared to traditional training methods.
• Performance Analytics
  Osso VR provides detailed analytics and feedback on user performance, allowing for targeted improvements and a deeper understanding of competency.

Possible disadvantages

• High Cost
  The setup and maintenance costs of VR technology can be expensive, potentially making it less accessible for smaller institutions or individuals.
• Technical Limitations
  Dependence on VR hardware and software may lead to challenges such as system glitches, hardware compatibility issues, or the need for frequent updates.
• Learning Curve
  Some users may experience a steep learning curve when first adapting to VR technology if they are not familiar with virtual environments.
• Limited Tangible Feedback
  While VR provides visual and auditory feedback, it may not fully replicate the tactile sensations experienced during actual surgical procedures.
• Potential for Discomfort
  Extended use of VR headsets can lead to discomfort or health issues such as motion sickness or eye strain for some users.

• Scalability
  Cloud GPUs offer scalable resources, allowing users to easily adjust the amount of GPU power they need depending on their workloads without investing in physical hardware.
• Cost-Effectiveness
  Pay-as-you-go pricing models and the absence of upfront costs for hardware make cloud GPUs a cost-effective solution for organizations that require flexibility in processing power.
• Accessibility
  Cloud GPUs provide remote access to powerful computational resources, enabling users to perform graphic-intensive tasks from any location with an internet connection.
• Integration and Ecosystem
  Cloud GPUs integrate seamlessly with other cloud services within the Google Cloud ecosystem, enhancing productivity and operational efficiency.
• Maintenance-Free
  By using cloud GPUs, users are relieved of the responsibility of maintaining and upgrading hardware, which is handled by the cloud provider.

Possible disadvantages

• Latency
  Cloud-based solutions can sometimes suffer from latency issues, especially if the user is geographically distant from the data center.
• Data Security and Privacy
  Using cloud-based GPUs involves transferring data to and from the cloud, which may raise concerns about data security and privacy depending on the sensitivity of the information.
• Dependency on Internet Connection
  The performance and reliability of cloud GPUs are heavily dependent on a stable and fast internet connection.
• Potential Costs for High Usage
  While flexible pricing is a benefit, costs can escalate quickly with extensive GPU usage, potentially becoming more expensive than maintaining on-premises hardware for prolonged workloads.
• Learning Curve
  Adopting cloud GPUs requires technical knowledge and training, which may involve a learning curve for teams unfamiliar with cloud technologies.

VR Announcement Zoom Q&A with Osso VR CEO Justin Barad, MD.

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• Prep routine before rare surgery

  It seems like nothing can replace a book. What are your thoughts on new tech like VR short scenario experiences, that ossovr.com is offering for knee surgery. Would you see that "usable" in your day to day life? Source: about 4 years ago

• Does Google Cloud GPU use physical GPUS or are they emulated

  Per https://cloud.google.com/gpu, they use NVIDIA L4, P100, P4, T4, V100, and A100 GPUs. These are physical units loaded into servers and then shared to the OS by the hypervisor. Source: over 3 years ago

• Fine-tuning?

  You probably can't do it through onedrive, though I'm not sure if MS has something like that that carries over into other services. The thing you need is GPU power, not storage. Most people use something like google cloud... Source: over 3 years ago

• Home Server - Student

  Uh, you ask these questions before you buy the hardware. There are various tools you could have used for free, or for cheap instead of spending $2500 on equipment, and not even seemingly the right equipment. You would know more than me,... Source: almost 4 years ago

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