X’s Grok is now free. Grok’s view on AI-CGDCs and My Data Sys
X's Grok is now free. Grok's view on AI-CGDCs and My Data Sys
Bamboo – Biomass – Biochar – Pyrolysis – Hydrothermal Carbonization.
TL:DR: - Pyrolysis or Hydrothermal Carbonization can be used to turn Bamboo Biomass into Biochar to create "green" energy.
Running private LLMs on a P51 Thinkpad using Windows WSL.
TL:DR: Install Open WebUI on Docker running on Ubuntu installed in WSL on Windows 10. Pull llama3.1, gemma2 and other LLM manifests and personalize with your data. Forward port 3000 to the WSL IP address and access any LLM model from your private LAN on any web browser. QED.
Vertiv supplies a Prefabricated Data Centre for Brunei
TL:DR: Vertiv provides "popup" Data Centers for rapid and secure deployments and it is very impressive. This is an extract of a 2023 press release published into the public domain by Data&StoragAsean (DSA). and the original news release from UNN.
A new journey for My Data Sys enabling Green Biomass in Data Centers in Malaysia.
TL:DR Never underestimate the power of friendly discussions and always be open to new horizons. When opportunity knocks let it in and take advantage of what is on offer. Our new journey with Vertiv as a solutions partner starts now!
AI is driving hardware development hard. Do you need a 800GbE 51.2Tbps switch? – Yes you do!
TL:DR High end switches from Marvell now deliver 51.2 Tbps at 512 radix with a current draw of 15KW for a cluster of six switches or 90A that is equivalent to 131,500 kWh per year costing $39,500.00 per year in California or $64,500.00 in Germany.
Malaysia is getting a second chance at prosperity
TL:DR Malaysia is strategically positioned for a vast influx of IT investment and My Data Sys is here to help.
The primary consideration for an AI Data centre
TL:DR - AI Servers draw on average 1.5KW once switched on. Dependable, reliable power systems are key to your Data Centre.
Running any version of Lotus / IBM / HCL Domino without maintenance? You are going to have a very bad day, week, month!
And it's bloody amazing!
Introducing Gaze-LLE, a new model for gaze target estimation built on top of a frozen visual foundation model!
Gaze-LLE achieves SOTA results on multiple benchmarks while learning minimal parameters, and shows strong generalization
paper: https://arxiv.org/abs/2412.09586
Unlike SAM and other segmentation methods, this new method can track obscured objects and generate masks for hidden parts of objects in videos.
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