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.
Detailed prompts exceeded model limits, forcing risky cuts. Agents now handle full context to synthesize secure, one-click plans.
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.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
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.
Detailed prompts exceeded model limits, forcing risky cuts. Agents now handle full context to synthesize secure, one-click plans.
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.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.