Together AI vs CoreWeave

By valuation, CoreWeave is the larger company at $49B versus $3.3B — a 14.8x difference. Size can also be measured by team: Together AI employs 100 people while CoreWeave has 1800 employees.

CoreWeave has raised more in total funding at $2.4B, compared to Together AI's $533.5M — a gap of $1.8B. Combined, the two companies have completed 8 known funding rounds.

CoreWeave leads with an Awaira Score of 95/100, while Together AI sits at 77/100. That 18-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Together AI was founded by Ce Zhang in 2022. CoreWeave was founded by Michael Intrator in 2017. Visit each company's profile on Awaira for a full founder biography.

Together AI: Together AI is an AI infrastructure company founded in 2022 that provides cloud-based platforms for training, fine-tuning, and deploying large language models. The company operates a managed inference service and model hosting platform that enables developers and enterprises to run open-source and proprietary models at scale. Together AI's core offering allows customers to access GPU compute resources specifically optimized for LLM workloads without building infrastructure in-house. The company positions itself in the competitive inference and model deployment segment, competing with services like Replicate, Modal, and cloud providers' native ML offerings. Together AI emphasizes open-source model support and cost-efficient inference through optimized serving techniques. The platform supports popular models including Llama, Mistral, and other community-developed architectures. With $228 million in total funding and a $1.3 billion valuation as of its Series B stage, Together AI has secured substantial capital to expand its infrastructure and product capabilities. The company serves use cases spanning application development, research, and enterprise deployment scenarios. Its growth trajectory reflects increased demand for accessible LLM infrastructure alternatives to proprietary API providers, though the market remains highly competitive with low switching costs and commoditizing pricing dynamics. Together AI addresses the infrastructure gap for organizations seeking open-source LLM deployment alternatives to closed commercial APIs. CoreWeave: CoreWeave is a specialized AI infrastructure provider founded in 2017 that has become a major player in GPU cloud computing. The company operates a global network of data centers optimized for artificial intelligence and machine learning workloads, offering on-demand access to high-performance GPUs and compute resources. CoreWeave's platform enables enterprises and AI developers to train large language models, run inference workloads, and deploy machine learning applications without building proprietary infrastructure. The company serves organizations across industries including enterprise AI, research institutions, and cloud-native startups requiring flexible, scalable compute capacity. CoreWeave distinguishes itself through customized infrastructure solutions tailored to GPU-intensive applications, offering various processor configurations from NVIDIA and AMD architectures. The company went public in 2025 and currently carries a valuation of $42.0 billion with total funding of $2.38 billion, reflecting substantial investor confidence in AI infrastructure demand. CoreWeave competes directly with hyperscalers like AWS, Google Cloud, and Microsoft Azure in the GPU compute space, alongside specialized competitors such as Lambda Labs and Crusoe Energy. The company's growth trajectory reflects the accelerating demand for accessible GPU computing as organizations scale their AI capabilities. Its business model capitalizes on the infrastructure bottleneck in AI deployment, positioning it as a critical enabler of AI adoption across enterprise sectors. CoreWeave's public status and $42B valuation reflect recognition of GPU infrastructure as fundamental to AI scaling, distinct from traditional cloud computing markets.

CoreWeave got there first, launching in 2017 — that's 5 years of extra runway. Together AI didn't arrive until 2022. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Together AI has about 100 employees; CoreWeave has about 1800. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Together AI and CoreWeave compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.