Media Summary: In the era of machine learning and artificial intelligence, GPU acceleration has become indispensable for handling ... From the beginning, the TypeScript compiler has been self-hosted, evolving alongside a growing ecosystem of millions of ... At Assembled, we serve tens of millions of LLM requests, powering customer support AI for companies like Canva, Etsy, and ...

Gophercon 2025 Go Faster Integrating - Detailed Analysis & Overview

In the era of machine learning and artificial intelligence, GPU acceleration has become indispensable for handling ... From the beginning, the TypeScript compiler has been self-hosted, evolving alongside a growing ecosystem of millions of ... At Assembled, we serve tens of millions of LLM requests, powering customer support AI for companies like Canva, Etsy, and ... In this talk, we'll answer the age-old question—“Is When handling over 2 trillion messages every day, every ounce of performance matters. This talk outlines the (over) optimizations ... Building scalable and efficient machine learning pipelines often requires overcoming bottlenecks in data transfer, feature retrieval, ...

As artificial intelligence continues to reshape the practice of software engineering, Speaker: Björn Andersson Working with mocks is a lot like working out: if you don't know what you're doing then you'll either a) ...

Photo Gallery

GopherCon 2025: Go Faster: Integrating CUDA in Go for GPU Acceleration - Sam Burns
GopherCon 2025: Porting the TypeScript Compiler to Go for a 10x Speedup V2 - Jake Bailey
GopherCon 2025: Strategies for Auto-Instrumenting Go Applications Without Code Changes - Hannah Kim
GopherCon 2025: Scaling LLMs with Go: Prod Patterns for Handling Millions of AI Requests - John Wang
GopherCon 2025: An Operating System in Go - Patricio Whittingslow
GopherCon 2025: My Protobuf Module is Faster than Yours (Because I Cheated) - Tom Lyons
GopherCon 2025: Supercharging ML Pipelines with Go - Vaidehi Thete
GopherCon 2025: Go Plays Nice With Your Computer - Race Detection and Freedom! - Raghav Roy
GopherCon 2025: AI and Go: Opportunities and Challenges Panel Discussion
GopherCon 2025: Why Go Rocks for Building a Lua Interpreter - Roxy Light
GopherCon 2025: Go's Next Frontier - Cameron Balahan
Mocking your codebase without cursing it — GopherCon Singapore 2025
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GopherCon 2025: Go Faster: Integrating CUDA in Go for GPU Acceleration - Sam Burns

GopherCon 2025: Go Faster: Integrating CUDA in Go for GPU Acceleration - Sam Burns

In the era of machine learning and artificial intelligence, GPU acceleration has become indispensable for handling ...

GopherCon 2025: Porting the TypeScript Compiler to Go for a 10x Speedup V2 - Jake Bailey

GopherCon 2025: Porting the TypeScript Compiler to Go for a 10x Speedup V2 - Jake Bailey

From the beginning, the TypeScript compiler has been self-hosted, evolving alongside a growing ecosystem of millions of ...

GopherCon 2025: Strategies for Auto-Instrumenting Go Applications Without Code Changes - Hannah Kim

GopherCon 2025: Strategies for Auto-Instrumenting Go Applications Without Code Changes - Hannah Kim

Instrumenting

GopherCon 2025: Scaling LLMs with Go: Prod Patterns for Handling Millions of AI Requests - John Wang

GopherCon 2025: Scaling LLMs with Go: Prod Patterns for Handling Millions of AI Requests - John Wang

At Assembled, we serve tens of millions of LLM requests, powering customer support AI for companies like Canva, Etsy, and ...

GopherCon 2025: An Operating System in Go - Patricio Whittingslow

GopherCon 2025: An Operating System in Go - Patricio Whittingslow

In this talk, we'll answer the age-old question—“Is

GopherCon 2025: My Protobuf Module is Faster than Yours (Because I Cheated) - Tom Lyons

GopherCon 2025: My Protobuf Module is Faster than Yours (Because I Cheated) - Tom Lyons

When handling over 2 trillion messages every day, every ounce of performance matters. This talk outlines the (over) optimizations ...

GopherCon 2025: Supercharging ML Pipelines with Go - Vaidehi Thete

GopherCon 2025: Supercharging ML Pipelines with Go - Vaidehi Thete

Building scalable and efficient machine learning pipelines often requires overcoming bottlenecks in data transfer, feature retrieval, ...

GopherCon 2025: Go Plays Nice With Your Computer - Race Detection and Freedom! - Raghav Roy

GopherCon 2025: Go Plays Nice With Your Computer - Race Detection and Freedom! - Raghav Roy

Go

GopherCon 2025: AI and Go: Opportunities and Challenges Panel Discussion

GopherCon 2025: AI and Go: Opportunities and Challenges Panel Discussion

As artificial intelligence continues to reshape the practice of software engineering,

GopherCon 2025: Why Go Rocks for Building a Lua Interpreter - Roxy Light

GopherCon 2025: Why Go Rocks for Building a Lua Interpreter - Roxy Light

Many

GopherCon 2025: Go's Next Frontier - Cameron Balahan

GopherCon 2025: Go's Next Frontier - Cameron Balahan

Go

Mocking your codebase without cursing it — GopherCon Singapore 2025

Mocking your codebase without cursing it — GopherCon Singapore 2025

Speaker: Björn Andersson Working with mocks is a lot like working out: if you don't know what you're doing then you'll either a) ...

GopherCon 2025: A Small Update on TinyGo - GopherCon 2025 Edition - Ron Evans

GopherCon 2025: A Small Update on TinyGo - GopherCon 2025 Edition - Ron Evans

Come along on a lightning-