Immers.cloud

Name: Immers.cloud
Address: Rechnikov 21, Moscow, 115142, RU
Telephone: +74991104494

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Immers.cloud

immers.cloud specializes in providing high-performance cloud services tailored to meet the demands of enterprise-scale GPU/CPU-accelerated workloads.

28/12/2024

Dear Users,

We would like to inform you about our operating schedule during the New Year holidays. Our team is dedicated to ensuring your projects continue moving forward without delays.

23/12/2024

🐓💻 How I Created a Detailed 3D Rooster in Blender in Under One Day

Creating a complex, vibrant character in a short time sounds like a challenge, but it’s a fantastic way to sharpen your skills. In my latest guide, I share how to:

1️⃣ Choose references and plan the process.

2️⃣ Start with basic shapes for blocking and move to detailed sculpting.

3️⃣ Manually craft realistic feathers and apply textures.

4️⃣ Optimize the project and finalize with a polished render.

If your PC struggles with large scenes, don’t worry! Host a GPU on immers.cloud and render on powerful servers equipped with up to eight RTX 4090 🚀

📹 Watch the full step-by-step tutorial on my YouTube channel! (https://lnkd.in/grgM-ynS)

18/12/2024

🆕 Exciting News!

We’ve successfully migrated our internet connection from the provider Inetcom to the M9 data center. Say goodbye to downtime and lag!

🔹 Details:

Through our partnership with Inetcom, we now offer a traffic bandwidth of up to 2x10 Gbps burstable, implemented via two physical 10 Gbps interfaces with dynamic load distribution.

🚀 Experience the speed and reliability for yourself — visit our website at immers.cloud and get started today!

16/12/2024

🚀 Latest Updates from immers.cloud

1️⃣ Windows Server 2025 RU/EN is Now Available

We’ve added a brand-new Windows Server 2025 image with an updated interface and enhanced performance, making it ideal for demanding workloads.

🆕 What’s New?

- Modern UI: A redesigned interface for intuitive navigation and a streamlined user experience.

- Optimized SSD and NVMe Performance: Faster, more stable server operations for high-load tasks.

- NUMA Support: Efficient resource utilization for multi-processor configurations.

- WinGet Pre-installed: A powerful package manager for seamless app and utility installations.

- Simplified System: Legacy features and programs have been removed to improve reliability and speed.

👉 Learn more about Windows Server 2025 on our website! (https://shorturl.at/j9I9Q)

2️⃣ Blender 4.3 is Here

Working with Blender just got easier! We’ve updated our images to include the latest Blender 4.3 version, complete with improved drivers and compatibility with Windows Server 2025.

🆕 What’s New?

- Powered by Windows Server 2025: The updated server platform delivers SSD/NVMe support and enhanced performance for multi-core systems.

- Driver Updates: The latest GPU, Virtio, and Baremetal drivers ensure optimal hardware support and faster rendering speeds.

👉 Discover more about Blender 4.3 and unleash your creative potential! (https://shorturl.at/Epm4X)

11/12/2024

💾 Need More Disk Space for Your Virtual Machine? Expanding It in immers.cloud Is Easier Than Ever!

Here’s how you can increase disk space for different types of VMs—Volume-backed and Local. Manage your resources quickly and efficiently.

Whether you’re working with a Volume-backed or Local VM, expanding disk space takes just a few clicks in immers.cloud. Follow our simple guide and eliminate storage limitations effortlessly!

10/12/2024

🛠 Easy Connection to a Windows Server Virtual Machine: A Step-by-Step Guide

By default, we provide connection via Remote Desktop Protocol (RDP). If you need to connect to your Virtual Machine (VM) using alternative methods (e.g., SSH for Linux), you’ll need to configure them manually.

1. Connecting from Windows

Decrypt the password:

- In the "Actions" menu, select Get Password.

- On the page that opens, click Show to reveal the password.

- Download the RDP file: Click the IP address displayed on the VM’s page to download the file named vmname.rdp to your computer.

- Open the RDP file:

- Double-click the downloaded file to launch it.

- Log in using the following credentials:

Username: admin

Password: the one you decrypted earlier.

2. Connecting from macOS

- Install Microsoft Remote Desktop: Download it from the Mac App Store.

- Add the PC: In the application, click Add PC, enter the VM’s IP address in the "PC name" field, and click Add.

- Decrypt the password: In the "Actions" menu, select Get Password.

- On the page that opens, click Show to reveal the password.

- Connect to the VM: Use the saved configuration to access the VM.

- Log in using the following credentials:

Username: admin

Password: the one you decrypted earlier.

3. To Shut Down the VM

Use the Stop option in the "Actions" dropdown menu to properly shut down the virtual machine.

‼️ Important: Billing for the VM’s vCPU and RAM stops only if the VM is shut down using this method ‼️

04/12/2024

What is OpenAI Operator?

According to a recent Bloomberg report, OpenAI is set to release a new AI agent called Operator in January. Designed to automate tasks directly on users' computers, Operator will handle everything from web queries in browsers to coding assignments.

These AI agents are powered by large language models (LLMs) and integrated with various APIs to autonomously execute tasks.

Interestingly, in recent rankings of open-source LLMs suitable for AI agent development, Qwen 2.5 has emerged as a leader. While the capabilities of Operator remain under wraps, open-source models like Qwen 2.5 have a significant advantage—they allow developers to fine-tune the model on their own data.

Our brand ambassador Ruslan Dev channel features numerous examples of fine-tuning Llama models using immers.cloud GPUs, and the same techniques can be applied to Qwen. Open-source LLMs also enable the creation of truly autonomous agents that don't rely on external APIs. This independence is critical for tasks involving sensitive or confidential data.

28/11/2024

👨‍💻 Qwen2.5 Coder: The Ultimate Open-Source Code Generation Model

The newly released large language model, Qwen2.5 Coder, sets the state of the art in code generation. This collection of models offers a range of features that make it highly appealing to developers.

Versatile Model Sizes: Qwen2.5 Coder is available in multiple configurations—0.5B, 3B, 14B, and 32B parameters. The largest version, which delivers benchmark-leading performance, rivals GPT-4 in code generation quality. Deploy it on immers.cloud to create a powerful private server for code analysis or a self-hosted alternative to GitHub Copilot.

Optimized for Local Use: For those looking for a compact coding assistant on local devices, smaller versions of the model are perfect and fully compatible with Ollama.

Enhanced Context and Versatility: With a 128k-token context window and support for 92 programming languages, Qwen2.5 Coder is designed to tackle a wide range of programming tasks. Developers worldwide are now exploring its potential.

Experience the power of Qwen2.5 Coder—whether for cloud deployments or as a localized assistant. The community is eager to see how it transforms coding workflows!

25/11/2024

🔔 GPU Availability Notifications

We’re excited to tell you about a convenient feature: GPU Configuration Availability Notifications!

If your preferred Virtual Machine configuration is temporarily unavailable, you can set up an alert to stay updated on its status. With pay-as-you-go billing, GPU availability changes dynamically, so you’ll be notified immediately when the desired configuration becomes available.

To set up a notification:

1️⃣ Visit the GPU page using this link [https://en.immers.cloud/gpu/.

2️⃣ Click the bell icon (🔔) next to your desired configuration.

Once the equipment is available, you’ll receive an email notification, ensuring you can quickly access the resources you need.

20/11/2024

👩‍💻 Microsoft Copilot Agents

While the Llama ecosystem prioritizes cross-platform compatibility, Microsoft is doubling down on a native AI platform for Windows: Copilot and its newly introduced agent system.

Microsoft Copilot’s strengths lie in its deep integration with the Windows operating system. Competing with Microsoft on user experience will be a challenge for open ecosystems. The only way to offer a competitive alternative is to develop GenAI applications for all platforms users rely on. Fortunately, developers now have the tools to do this—by deploying the required software stack on GPU-powered infrastructure from immers.cloud, they can leverage new methodologies for training models.

Microsoft is also encouraging users to build AI applications on its platform. Developers can now create agents directly in Copilot Studio and publish them seamlessly within Copilot. However, because OpenAI’s models remain closed-source, the Llama ecosystem and similar open models retain a critical advantage—access to low-level ML algorithms and the ability to train, fine-tune, optimize prompts, and quantize models.

13/11/2024

🚀 Porting Llama 3.2 to Android and iOS Made Easy!

AI developers can now convert weights for Llama 3.2 models (1B and 3B) into a format compatible with mobile devices. The official open-source implementation of the new post-training quantization method, SpinQuant, optimizes these models for mobile platforms by reducing memory usage and enhancing inference speed.

This method is simpler than QLoRA because it doesn't require fine-tuning the model. All you need are the original uncompressed weights, a preliminary step to rotate weight and activation matrices (a script is provided in the repository), and a GPU. Any GPU on immers.cloud will work, and the RTX 3090 is more than enough for lightweight 1B and 3B models.

Once the rotation step is complete, you can perform standard post-training quantization using a provided script and then export the model for mobile deployment. But how do you actually run Llama on Android?

That's where ExecuTorch comes in—a framework designed to create PyTorch programs for mobile processors. The SpinQuant repository even provides scripts to export weights in a format compatible with ExecuTorch, so you’re ready to go!

11/11/2024

We’re notifying you of updates to the prepaid hosting terms for Nvidia A100 and H100 GPU plans. Here’s a look at the new rates and discounts:

Current Rates and Discounts:

➡️ Prepaid for 30 days — 10% discount
➡️ Prepaid for 60 days — 15% discount

New 180-day plan — 20% discount

Please note that users with existing virtual machines can renew at the original rates and discounts that were active at the time of their VM launch. This allows you to maintain the most favorable terms for your current hosting period

Address

Rechnikov 21
Moscow
115142

Telephone

+74991104494

Website

https://shorturl.at/lvBIP

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