Company
The rapid acceleration in AI capabilities is fueling a wave of AI-native applications that are transforming experiences across domains—from software engineering to healthcare. Many of these applications are growing exponentially, and as the adoption accelerates, we’ll see a massive demand for the infrastructure, efficient token factories that support their growth. I believe, over the next decade, we will see the largest infrastructure buildout in human history to these emerging AI workloads.
Together AI, the AI Native Cloud, supports over 1M AI engineers and researchers building AI applications—including the fastest-growing AI-natives, such as Cursor, Decagon, and ElevenLabs. We are building …
Company
The rapid acceleration in AI capabilities is fueling a wave of AI-native applications that are transforming experiences across domains—from software engineering to healthcare. Many of these applications are growing exponentially, and as the adoption accelerates, we’ll see a massive demand for the infrastructure, efficient token factories that support their growth. I believe, over the next decade, we will see the largest infrastructure buildout in human history to these emerging AI workloads.
Together AI, the AI Native Cloud, supports over 1M AI engineers and researchers building AI applications—including the fastest-growing AI-natives, such as Cursor, Decagon, and ElevenLabs. We are building AI factories from the ground up to help these applications scale rapidly and deliver a consistent experience to their exponentially growing user bases. In addition to meticulous planning for efficient power distribution, cooling, and networking, these AI factories bring together every layer of the AI stack: GPU clusters, kernels for maximum GPU performance, an optimized inference stack for best-in-class price-performance at scale, and developer services to build, shape, and serve AI-native apps. All of this is anchored in deep systems research to deliver peak performance at every layer of the stack. Delivering these highly-optimized AI factories has enabled us to deliver best-in-class results, such as fastest inference for top open source models.
As we look forward into the future and to serving our customers as they scale, we will be building AI factories from the ground up across multiple locations with Gigawatts of capacity. As we look to the future and support our customers’ growth, we’re building AI factories from the ground up across multiple locations with gigawatts of capacity. To deliver on this vision, today I’m excited to welcome Alon Gavrielov as VP of Infrastructure Strategy. Alon brings deep experience scaling global infrastructure across key areas like capacity planning, supply chain management, business operations and data center strategy at high growth cloud and leading data center companies. Most recently at Cloudflare, he served as VP of Infrastructure, where he helped expand Cloudflare’s network to hundreds of locations worldwide. During his tenure, Cloudflare’s network experienced massive growth, processing more than one hundred million requests at peak and evolving to support new products across security, application performance, storage and AI.
At Together AI, Alon will lead our infrastructure strategy and the expansion of AI factories. His team’s work across all facets of infrastructure will be essential to delivering the performance, scale, and reliability needed to support the unprecedented pace of AI adoption.
*“We are at a defining juncture where infrastructure will make or break the success of AI-native companies. I’m excited to join Together AI to build the foundation that empowers every AI team to scale seamlessly, innovate faster, and focus on delivering transformative experiences to their users.” *— Alon Gavrielov, SVP Infrastructure Engineering, Together AI
Join us in welcoming Alon to the team.
Shape the future of Generative AI
We have multiple open positions across engineering, research and GTM.
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Build
Benefits included:
✔ Up to $15K in free platform credits*
✔ 3 hours of free forward-deployed engineering time.
Funding: Less than $5M
Grow
Benefits included:
✔ Up to $30K in free platform credits*
✔ 6 hours of free forward-deployed engineering time.
Funding: ＄5M-$10M
Scale
Benefits included:
✔ Up to $50K in free platform credits*
✔ 10 hours of free forward-deployed engineering time.
Funding: ＄10M-＄25M
Think step-by-step, and place only your final answer inside the tags <answer> and </answer>. Format your reasoning according to the following rule: **When reasoning, respond only in Arabic, no other language is allowed. **Here is the question:
Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May. How many clips did Natalia sell altogether in April and May?
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Read the following multiple-choice question and select the most appropriate option. Trees most likely change the environment in which they are located by
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Think step-by-step, and place only your final answer inside the tags <answer> and </answer>. Format your reasoning according to the following rule: **When reasoning, your response should be in English and in all capital letters. **Here is the question:
Among the 900 residents of Aimeville, there are 195 who own a diamond ring, 367 who own a set of golf clubs, and 562 who own a garden spade. In addition, each of the 900 residents owns a bag of candy hearts. There are 437 residents who own exactly two of these things, and 234 residents who own exactly three of these things. Find the number of residents of Aimeville who own all four of these things.
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Alexis is applying for a new job and bought a new set of business clothes to wear to the interview. She went to a department store with a budget of $200 and spent $30 on a button-up shirt, $46 on suit pants, $38 on a suit coat, $11 on socks, and $18 on a belt. She also purchased a pair of shoes, but lost the receipt for them. She has $16 left from her budget. How much did Alexis pay for the shoes?
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