Scaled Cognition
AI model training
Researchers lost months debugging network failures. Bare-metal clusters ended the crashes and enabled custom orchestration.
- 3-4 months of research time recovered
- Zero training-blocking issues since switching
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.
Related implementations across industries and use cases
Researchers lost months debugging network failures. Bare-metal clusters ended the crashes and enabled custom orchestration.
Models hallucinated 34.1% of the time. Rogo switched to Gemini to cut errors to 3.9% and slashed month-long pipelines to 3 hours.
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.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
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.
Related implementations across industries and use cases
Researchers lost months debugging network failures. Bare-metal clusters ended the crashes and enabled custom orchestration.
Models hallucinated 34.1% of the time. Rogo switched to Gemini to cut errors to 3.9% and slashed month-long pipelines to 3 hours.
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.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.