Strengthening AINNA NeuralOps with TM GPU and VPS Infrastructure✎ Edit

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Strengthening AINNA NeuralOps with TM GPU and VPS Infrastructure

Alhamdulillah, yesterday I had the opportunity to attend a half-day discussion at TM Building regarding the GPU Server and VPS Server services provided by TM for the future use of AINNA NeuralOps.

The discussion covered both technical and commercial aspects, including several key areas such as LLM model selection, VPN connectivity between the VPS and LLM Server, operational costs, system performance, and approaches to reduce infrastructure maintenance workload.

Several initial agreements were reached from both cost and technical perspectives, particularly in ensuring that the infrastructure to be developed will be more stable, secure, scalable, and suitable to support AI system development and NeuralOps operations in a practical way.

This is an important step for AINNA in building an AI ecosystem that is not merely driven by hype, but one that can truly be used, controlled, and deliver real value to actual business operations.

Ruang pembaca

Apa pendapat anda?

Komen baharu dihantar untuk semakan terlebih dahulu. Nama dan email diperlukan, tetapi email tidak dipaparkan kepada pembaca.

💬 5 komen pembaca
Arjun 🇮🇳 India · 49.36.*.55

इस हिस्से से सहमत हूँ, पर लागू करना मुश्किल है।

Julin 🇲🇾 Kadazan, Malaysia · 175.136.*.63

Useful. We are handling half-day right now.

Ginsang 🇲🇾 Kadazan, Malaysia · 60.54.*.11

Slightly disagree on secure, scalable, and suitable, but the direction is right. Need to read this part again.

Dimas 🇮🇩 Indonesia · 36.72.*.15

Good write-up. operational costs, system performance alone was worth the read.

Ayu 🇮🇩 Indonesia · 114.79.*.48

This is where alhamdulillah, yesterday finally makes sense.

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