---
title: "Key research and product announcements at the AI Native Conf"
url: https://daily.dev/posts/key-research-and-product-announcements-at-the-ai-native-conf-tboozdokm
source_url: https://www.together.ai/blog/ai-native-conf-research-and-product-announcements
type: article
source: "Together AI"
published: 2026-05-31T07:40:50.469Z
updated: 2026-05-31T08:23:07.287Z
tags: ["reinforcement-learning", "ai-inference"]
reading_time: 8
upvotes: 0
comments: 0
language: en
---

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# Key research and product announcements at the AI Native Conf

**[Together AI](https://daily.dev/sources/togetherai)** · 8 min read · 0 upvotes · 0 comments

## Summary

Together AI announced seven research and product releases at AI Native Conf spanning GPU kernel optimization, reinforcement learning infrastructure, and inference efficiency. FlashAttention-4 targets NVIDIA Blackwell GPUs and is 2.7x faster than Triton. Together Megakernel runs entire models in a single kernel, achieving 3.6x performance gains for real-time voice agents. together.compile automates kernel optimization with a single function call, delivering up to 41% speedups over torch.compile. The Reinforcement Learning API exposes inference and training as separate configurable layers, with ThunderAgent adding program-aware scheduling for agentic workloads (1.5–3.6x throughput gains). ATLAS-2 introduces an online speculative decoding flywheel that continuously adapts to live traffic. Cache-aware prefill-decode disaggregation (CPD) adds a three-tier KV cache hierarchy, improving sustainable throughput by 35–40% for long-context workloads.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.together.ai/blog/ai-native-conf-research-and-product-announcements>

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Tags: [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning), [#ai-inference](https://daily.dev/tags/ai-inference)

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