If I shelve my cloud instance, does it still deduct my credit? Shelving a cloud instance pauses charges for compute resources such as CPU and RAM, since the instance is no longer actively running. However, credits may still be deducted for any associated resources that remain allocated, including: Storage (e.g., attached volumes or disks) Reserved
Is QR payment available for purchases with IP ServerOne? Yes, QR payment (QRPay) is available when making payments through our customer portal. Simply select the QRPay option during checkout, and scan the generated QR code using your preferred mobile banking app to complete the transaction securely.
Does IP ServerOne provide domain hosting? Yes, IP ServerOne provides domain hosting services, including domain registration, DNS management, and web hosting to support your online presence. Kindly provide your details here at https://www.ipserverone.com/contact-us-via-chat/ if your interested to know about our hosting services and our sales will contact you accordingly.
Does IP ServerOne provide website design services? We do not offer website design services. However, we provide reliable web hosting, domain registration, and DNS management services to support your website needs. Kindly provide your details here at https://www.ipserverone.com/contact-us-via-chat/ if your interested to know about our services and our sales will contact you accordingly.
How much or what is the value of 0.14 points per day? 0.14 points per day is equivalent to RM0.14 per day. However, the value in other currencies may vary based on the current exchange rate.
Why am I unable to view or retrieve the nameserver information for my domain? Your domain’s nameserver may not be showing for several reasons. It could be that the domain is not registered, has expired, or the nameserver updates are still propagating (which can take up to 24–48 hours). There may also be a typo
Which GPU Is Best for AI/ML tasks? The best GPU for AI depends on your project size, goals, and budget. At IP ServerOne, we offer a range of GPUs to suit different AI/ML workloads. Here’s our recommendation: RTX 3090: A budget-friendly option for smaller AI projects like image recognition and basic models. Ideal for beginners
Can GPUs be used for AI, and how do I choose the right one? Yes! GPUs (Graphics Processing Units) are essential for AI and machine learning (ML) workloads because of their parallel processing capabilities. Compared to CPUs, they significantly accelerate tasks like model training, inference, and data processing. How to Choose the Right GPU for
How do I choose the right GPU server for my needs? Choosing the right GPU server depends on the type of workload you need to handle. Here are some factors to consider: Define your workload: Identify the specific applications you’ll be running (e.g., AI training, scientific simulations, video rendering). Determine your performance requirements: Consider factors like throughput,
What are the benefits of using bare metal GPUs? Bare metal GPUs deliver dedicated, high-performance computing power without virtualization overhead, making them ideal for AI and intensive workloads. Here’s why they stand out: Maximum Performance: Full access to the GPU’s power without shared resources, ensuring faster computations and lower latency. Stability & Reliability: No virtualization