SAN FRANCISCO — March 5, 2025 — Ceramic.ai emerged from stealth at present with software program for basis mannequin coaching infrastructure designed to allow enterprises to construct and fine-tune generative AI fashions extra effectively.
Based by Anna Patterson, former Google VP of Engineering and Gradient Ventures founder, Ceramic.ai stated it improves AI mannequin coaching velocity and cost-efficiency, providing as much as a 2.5x efficiency increase, accelerated by NVIDIA.
Ceramic.ai additionally stated it secured $12 million in seed funding from NEA, IBM, Samsung Subsequent, Earthshot Ventures and Alumni Ventures.
“Within the midst of a surge in AI adoption, too many corporations are nonetheless hindered by boundaries to scale – from prohibitive prices to restricted infrastructure,” stated Patterson, CEO. “We’re democratizing entry to high-performance AI infrastructure so corporations can navigate the complexity of AI coaching with out spending tons of of thousands and thousands in analysis and engineering assets. However the shift to enterprise AI isn’t nearly higher instruments – it’s about altering how companies work. If AI adoption had been a
baseball recreation, we’d nonetheless be singing the nationwide anthem.”
World AI investments are experiencing explosive development from $16 billion in 2023 to an estimated $143 billion by 2027. Regardless of this surge in spending, 74 % of corporations nonetheless wrestle to scale AI successfully and obtain worth. A significant problem is that constructing AI infrastructure is pricey, advanced, and resource-intensive. Whereas tech giants spend billions growing proprietary AI infrastructure, most enterprises lack the engineering assets to optimize and scale their very own AI fashions.
Present AI infrastructure can scale as much as 10x, however not 100x—true exponential development calls for an entire redesign. Ceramic.ai bridges this hole by offering an enterprise-ready platform that isn’t simply quicker however basically extra scalable to energy the subsequent technology of AI, dramatically lowering the complexity and value of AI mannequin coaching.
The software program platform’s mannequin can practice with lengthy contexts and any cluster dimension, enabling enterprises to develop, practice, and scale their very own AI fashions quicker than conventional strategies. For smaller fashions, Ceramic.ai is as much as 2.5x quicker on NVIDIA H100 GPUs than present state-of-the-art platforms, and for large-scale long-context fashions, Ceramic.ai is the one viable selection for quick coaching.
Ceramic.ai has developed a complete platform that addresses the core challenges of enterprise AI deployment:
● Velocity and Effectivity: Ceramic.ai’s coaching infrastructure delivers as much as 2.5x increased effectivity than open-source stacks, slicing down coaching prices whereas enhancing mannequin efficiency.
● Unique Lengthy-Context Coaching Functionality: Ceramic.ai is the one platform that may practice massive fashions on long-context information, offering unmatched high quality and efficiency. The corporate outperforms all reported benchmarks for long-context mannequin coaching, sustaining excessive effectivity even for 70B+ parameter fashions.
● Superior Reasoning Mannequin Efficiency: Ceramic educated a reasoning mannequin for problem-solving and achieved a precise match Move@1 rating on GSM8K of 92% tuning Meta’s Llama70B 3.3 base mannequin up from 78% and outperforming DeepSeek’s R1 84%.
● Optimized Knowledge Processing: Ceramic re-orders coaching information, making certain every micro-batch is aligned by subject. Present approaches both masks away different paperwork, shedding the good thing about longer context size or take note of irrelevant paperwork, studying unhealthy habits. By re-ordering coaching information so it is available in 64k or 128k contexts, all on the identical subject, we improve the variety of information factors the place consideration can be taught quadratically.
Constructed by a staff of specialists in large-scale infrastructure, Ceramic.ai has already helped present enterprises scale back prices and enhance mannequin coaching effectivity in early trials. They’re partnering with Lambda, AWS and others for accelerated coaching.
“Ceramic.ai is a game-changer for AI builders and enterprises looking for elevated effectivity and superior price-performance,” stated Sam Khosroshahi, VP, BD & Strategic Pursuits I AI & Machine Studying at Lambda. “Mixed, our choices present clients with an accelerated full-stack answer, validated and backed by each infrastructure and mannequin experience. This permits clients to attain quicker outcomes, diminished improvement prices, and higher-quality options.”
“AI’s meteoric ascent has been like a rocket tethered to a horse-drawn carriage – till now,” stated Lila Tretikov, Companion and Head of AI Technique, NEA. “Anna and her staff at Ceramic.ai have algorithmically shattered a important bottleneck in mannequin coaching, making it quicker, extra environment friendly, and scalable. With Ceramic, corporations can scale their already huge AI coaching workloads 100x – with out the corresponding surge in price or complexity.”
“Our funding in Ceramic demonstrates how IBM drives innovation and solidifies partnerships in extremely strategic areas,” stated Emily Fontaine, Vice President, IBM World Head of Enterprise Capital. “We’re thrilled to collaborate with Ceramic to handle a important want to cut back AI compute prices, making coaching extra environment friendly and accessible.”
