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Grab Tech

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SpellVault’s evolution: Beyond LLM apps, towards the agentic future

Introduction

At Grab, innovation isn’t just about building new features; it’s about evolving our platforms to meet the changing needs of our users and the broader technological landscape. SpellVault, our internal AI platform, exemplifies this philosophy. When SpellVault was first ...

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Grab's Mac Cloud Exit supercharges macOS CI/CD

Introduction

In our mission to optimize continuous integration and delivery (CI/CD), we have taken a bold step by relocating our infrastructure from a cloud vendor in the US to a colocation cluster within Southeast Asia, closer to our Git server infrastructure. This change has dramatically improved the performance of our macOS builds, primarily by reducing the network traffi...

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How We Built a Custom Vision LLM to Improve Document Processing at Grab

Introduction

In the world of digital services, accurate extraction of information from user-submitted documents such as identification (ID) cards, driver’s licenses, and registration certificates is a critical first step for processes like electronic know-your-customer (eKYC). This task is especially challenging in Southeast Asia (SEA) due to the diversity of languages and d...

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Machine-learning predictive autoscaling for Flink

Introduction

As Grab transitions to derive more valuable insights from our wealth of operational data, we are witnessing a steep increase in stream-processing applications. Over the past year, the number of Flink applications grew 2.5 times, driven by interest in real-time stream processing and the improved accessibility of developing such applications with Flink SQL. At thi...

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Modernising Grab’s model serving platform with NVIDIA Triton Inference Server

Introduction

Catwalk is Grab’s machine learning (ML) model serving platform, designed to enable data scientists and engineers in deploying production-ready inference APIs. Currently, Catwalk powers hundreds of ML models and online deployments. To accommodate this growth, the platform has adapted to the rapidly evol...

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