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Together AI Core Team Bridge the Gap Between AI and Hardware

Together AI highlights its core team developing optimised software components to streamline AI model performance on GPU hardware. The team is responsible for developing FlashAttention and ThunderKittens.

By the Aheadline editorial team·8 juli 2026·2 min read·Source: Together AI BlogVerifierad signalAI-generated
Together AI Core Team Bridge the Gap Between AI and Hardware
Together AI Core Team Bridge the Gap Between AI and Hardware
Together AI Core Team Bridge the Gap Between AI and Hardware
By · Policy- & EU-reporter
Last updated

What happened?

Together AI has spotlighted its internal core team, whose primary task is to develop high-performance and optimised software components known as kernels. These kernels are crucial for maximising efficiency when running AI models on graphics processing units (GPUs). The team is behind the successful FlashAttention architecture and the ThunderKittens optimisation library.

Key facts

HuvudfokusOptimering av AI-modeller på GPU-hårdvara
Kända projektFlashAttention, ThunderKittens

The team behind FlashAttention and ThunderKittens — how Together AI's kernel researchers close the gap between GPU hardware and production AI.

Together AI, Blogginlägg · Together AI Blog

Why it matters

The development of optimised kernels is critical to meeting the increasing demands for computational power in the AI sector. By bridging the gap between software and hardware, Together AI can offer faster and more cost-effective solutions for AI development. This accelerates the pace of innovation and makes advanced AI more accessible.

Who is affected?

Primarily AI developers and companies using or building large-scale AI models are affected. Cloud providers and hardware manufacturers such as NVIDIA are also impacted, as optimised kernels push the limits of hardware and drive development forward. Indirectly, end-users of AI services benefit from faster and more responsive applications.

What else you should know

Work on kernel optimisation requires in-depth knowledge of both algorithms and low-level programming for specific hardware, making these teams a vital strategic asset for AI companies.

Frequently asked questions

Quick answers about this story

Vad har hänt?
Together AI har uppmärksammat sitt kärnteam, som specialiserat sig på att utveckla optimerade programvarukomponenter (kernels) för AI-modeller och GPU-hårdvara. Teamet har bland annat utvecklat FlashAttention och ThunderKittens.
När hände det?
Informationen publicerades i Together AI:s blogg den 20 juni 2024 (datum för källartikeln, antagen).
Varför spelar det roll?
Det spelar roll eftersom optimerade kernels är avgörande för att förbättra AI-prestanda, sänka kostnader och accelerera innovationstakten inom AI. Det möjliggör snabbare och mer effektiva AI-applikationer.
Vilka bolag berörs?
Together AI, samt andra företag som utvecklar eller använder storskaliga AI-modeller, såväl som hårdvarutillverkare som NVIDIA, berörs.
Vad är FlashAttention och ThunderKittens?
FlashAttention är en innovativ arkitektur som effektiviserar beräkningarna i transformatorbaserade neurala nätverk, medan ThunderKittens är ett optimeringsbibliotek som förbättrar GPU-användningen.
Original source
Together AI Blog·together.ai

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