SCB 10X
Large language model development
Cloud costs bottlenecked Thai model training. Dedicated GPUs cut spend 50% and delivered an industry-leading 83.0 score.
- 88.7 score on English IFEval benchmark
- 83.0 score on Thai IFEval benchmark
Researchers lost months debugging network failures. Bare-metal clusters ended the crashes and enabled custom orchestration.
The creator of a frontier AI model for customer experience builds specialized systems for regulated sectors like banking and healthcare to ensure deterministic behavior and compliance.
Training runs longer than a few hours frequently failed due to networking issues, while standard managed platforms lacked the bare-metal access...
“We spent 3-4 months blocked by infrastructure failures with previous providers—debugging networking issues that had nothing to do with our models. Together AI's cluster has had zero training-blocking issues since we switched. That reliability, combined with significant cost savings compared to other providers, completely changed our development velocity. But honestly, the responsive support is what keeps us here: shared Slack channel, problems resolved within hours, smooth scaling of our training cluster as our needs have been expanding. Together AI lets us focus on building breakthrough models instead of fighting infrastructure.”
Conversational AI platform for automated enterprise customer experience.
AI-native cloud platform for training, fine-tuning, and deploying open-source models.
Related implementations across industries and use cases
Cloud costs bottlenecked Thai model training. Dedicated GPUs cut spend 50% and delivered an industry-leading 83.0 score.
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.
Engineers spent 90% of time on data prep. New pipelines flipped that to 90% modeling and cut tuning from 7 days to 1 hour.
Cloud costs bottlenecked Thai model training. Dedicated GPUs cut spend 50% and delivered an industry-leading 83.0 score.
Engineers spent 90% of time on data prep. New pipelines flipped that to 90% modeling and cut tuning from 7 days to 1 hour.
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.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Researchers lost months debugging network failures. Bare-metal clusters ended the crashes and enabled custom orchestration.
The creator of a frontier AI model for customer experience builds specialized systems for regulated sectors like banking and healthcare to ensure deterministic behavior and compliance.
Training runs longer than a few hours frequently failed due to networking issues, while standard managed platforms lacked the bare-metal access...
“We spent 3-4 months blocked by infrastructure failures with previous providers—debugging networking issues that had nothing to do with our models. Together AI's cluster has had zero training-blocking issues since we switched. That reliability, combined with significant cost savings compared to other providers, completely changed our development velocity. But honestly, the responsive support is what keeps us here: shared Slack channel, problems resolved within hours, smooth scaling of our training cluster as our needs have been expanding. Together AI lets us focus on building breakthrough models instead of fighting infrastructure.”
Conversational AI platform for automated enterprise customer experience.
AI-native cloud platform for training, fine-tuning, and deploying open-source models.
Related implementations across industries and use cases
Cloud costs bottlenecked Thai model training. Dedicated GPUs cut spend 50% and delivered an industry-leading 83.0 score.
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.
Engineers spent 90% of time on data prep. New pipelines flipped that to 90% modeling and cut tuning from 7 days to 1 hour.
Cloud costs bottlenecked Thai model training. Dedicated GPUs cut spend 50% and delivered an industry-leading 83.0 score.
Engineers spent 90% of time on data prep. New pipelines flipped that to 90% modeling and cut tuning from 7 days to 1 hour.
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.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.