With the release of vSphere 8.0 Update 3, VMware introduced Memory Tiering over NVMe as a Technical Preview. This feature enables users to expand memory capacity on a host using locally installed NVMe devices. Several experts, including William Lam, have already tested this feature, and it appears to be working seamlessly. Like many other home…
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Deploying and Configuring Nvidia DLS for AI Enterprise and vGPU: Step-by-Step Guide
NB! At the end of the blog post, there is a YouTube video and an eBook – a photo-based step-by-step guide Download Nvidia vGPU Drivers for ESXi Download Nvidia vGPU License Server: Installing Nvidia vGPU Drivers on ESXi Deploying the NvidiaDLS OVA to vSphere Configuring Nvidia DLS (License) Server Installing Nvidia Drivers on a Windows…
Quick and Easy Guide to Installing Meta Llama 3.1 405B, 70B, 8B Language Models with Ollama, Docker, and OpenWebUI
I will show how easy and quick it is to install Llama 3.1 405B, 70B, 8B, or another language model on your computer or VM using Ollama, Docker, and OpenWebUI. It is so simple to install that even a grandmother or grandfather could do it. This is private AI, not cloud-based. All data is on…
Meta Llama 3.1 405B: GPU vs. CPU Performance Evaluation and RAM Considerations
It’s time to start testing various Private AI models, and fortunately, the timing is just right. Meta has just released six new AI language models. These models run on-premises and do not interact with the cloud or OpenAI’s ChatGPT. Llama 3.1 405B competes with leading models like GPT-4, GPT-4o, and Claude 3.5 Sonnet, while smaller…
Solving Real Business Problems with Private AI: Unlocking Efficiency and Productivity
I’m on a mission to find a company facing a real problem that can be solved using Private AI—AI that operates entirely within your own data center, without relying on cloud services. I need your help to identify the most challenging, time-consuming, or tedious issues within your company that could greatly benefit from an AI…
Home Lab 07.2024: A Snapshot of its Current State
Servers: TOTAL:CPU 144 Core/ 288 + 16 CoreRAM 1.8 TB + 128 GBNVMe 95.44 TBSSD 4.4 TBHDD 4.5 TBNetwork 100 GbE + 10 GbE AI/ML/vGPU Server CPU: Intel® Xeon® Platinum 8490H 60 Core 120THCPU Cooler: CPU NOCTUA NH-U14S DX-4677Motherboard: GIGABYTE MS33-AR0Network NIC 2x RJ45 10GBase-T portsNetwork NIC 1x RJ45 1GBase-T portsNetwork PCI-E 5.0 x16 100GbE…
Struggling with Crucial T705 NVMe and VMware ESXi 8. U3 Compatibility
I was so confident that the Crucial T705 4TB PCIe Gen5 NVMe M.2 SSD would work with VMware ESXi without any issues that I didn’t even bother to Google or check. I wanted to get and test what it feels like and how much of a performance boost it gives when using the fastest (R:…
Resolving vCenter 8.0 U3 Upgrade Issues: Easy Solutions and Step-by-Step Troubleshooting
The ESXi server upgrade was quick and problem-free, but the vCenter upgrade was more like a roller coaster for my two vCenters. Both had some issues, but now I will explain in detail what the problems were and how I resolved them. First Error: Pre-upgrade check resultError:Source vSphere ESX Agent Manager (EAM) upgrade failed to…
AI, ML, and vGPU Server Build – Part 3: The Server Case as a Double-Decker Bus
Those two mining frames in the photo illustrate my idea well, but I plan to use a PC case and build a frame on top of it where I can easily attach different GPUs, essentially connecting 2 PC cases together. The server motherboard is secured inside the PC case, and the GPUs are openly mounted…
Home Lab 2024: A Snapshot of its Current State
Servers: TOTAL:CPU 144 Core/ 288 + 16 CoreRAM 1.6 TB + 128 GBNVMe 89.44 TBSSD 4.4 TBHDD 4.5 TBNetwork 100 GbE + 10 GbE AI/ML/vGPU Server CPU: Intel® Xeon® Platinum 8490H 60 Core 120THCPU Cooler: CPU NOCTUA NH-U14S DX-4677Motherboard: GIGABYTE MS33-AR0Network NIC 2x RJ45 10GBase-T portsNetwork NIC 1x RJ45 1GBase-T portsNetwork PCI-E 5.0 x16 (x16…