Cloud costs bottlenecked Thai model training. Dedicated GPUs cut spend 50% and delivered an industry-leading 83.0 score.
The innovation arm of SCBX Group develops specialized Thai language models to serve 70 million speakers across finance, legal, and healthcare sectors.
Standard cloud platforms lacked the deep learning optimizations needed for low-resource languages, leading to slow training cycles and prohibitive...
Venture capital arm of SCBX Group investing in AI, blockchain, and fintech startups.
AI-native cloud platform for training, fine-tuning, and deploying open-source models.
SCB 10X's Large language model development is part of this use case:
Related implementations across industries and use cases
Researchers lost months debugging network failures. Bare-metal clusters ended the crashes and enabled custom orchestration.
Novices were too embarrassed to ask basics publicly. Private AI agents now answer instantly, cutting response times from 10s to near-zero.
Legacy scripts were wrong half the time. Gemini now unifies scattered Web3 assets for accurate wallet scoring and portfolio summaries.
Researchers lost months debugging network failures. Bare-metal clusters ended the crashes and enabled custom orchestration.
Processing 2T tokens on CPUs took days. GPU acceleration cut prep to hours, unlocking a 5% accuracy gain.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Cloud costs bottlenecked Thai model training. Dedicated GPUs cut spend 50% and delivered an industry-leading 83.0 score.
The innovation arm of SCBX Group develops specialized Thai language models to serve 70 million speakers across finance, legal, and healthcare sectors.
Standard cloud platforms lacked the deep learning optimizations needed for low-resource languages, leading to slow training cycles and prohibitive...
Venture capital arm of SCBX Group investing in AI, blockchain, and fintech startups.
AI-native cloud platform for training, fine-tuning, and deploying open-source models.
SCB 10X's Large language model development is part of this use case:
Related implementations across industries and use cases
Researchers lost months debugging network failures. Bare-metal clusters ended the crashes and enabled custom orchestration.
Novices were too embarrassed to ask basics publicly. Private AI agents now answer instantly, cutting response times from 10s to near-zero.
Legacy scripts were wrong half the time. Gemini now unifies scattered Web3 assets for accurate wallet scoring and portfolio summaries.
Researchers lost months debugging network failures. Bare-metal clusters ended the crashes and enabled custom orchestration.
Processing 2T tokens on CPUs took days. GPU acceleration cut prep to hours, unlocking a 5% accuracy gain.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.