Medra is a startup focused on building robotics to accelerate scientific breakthroughs, specifically in automating wetlab tasks. The company leverages advances in machine learning for robotic perception and controls, which likely requires significant computational power and potentially large clusters of GPUs. Additionally, Medra is backed by top venture funds, indicating it is well-funded.
Together AI is a startup that offers a range of AI-related products and services, including Together GPU Clusters with configurations up to 2048 GPUs. The company is involved in AI research, generative AI, and provides the fastest cloud platform for building and running generative AI, indicating a significant need for large clusters of GPUs. Additionally, the company has partnerships with major players like Meta, suggesting it is well-funded and has raised significant capital.
Pibit.ai is a startup that has been backed by Y Combinator and Arali Ventures, indicating it is well-funded. The company employs advanced AI technologies, including Computer Vision, Natural Language Processing (NLP), and large language-based models (LLMs) for data extraction and processing. These operations likely require significant computational power and the use of large clusters of GPUs.
Biodock is a startup that offers a cloud platform for accelerating microscopy analysis using end-to-end AI architecture. The company provides auto-scaling storage and GPU compute for scientific research, indicating a need for large clusters of GPUs. Additionally, Biodock runs images in parallel on large clusters for significant acceleration, further supporting the requirement for substantial GPU resources. While the funding details are not explicitly mentioned, being part of the Y-Combinator W21 batch suggests that the company is likely well-funded.
BluWave-ai is a startup that has raised significant capital, including a $9.5M Series-A financing round in December 2022. The company provides AI solutions for clean energy optimization, which likely involves substantial data processing and machine learning tasks. These operations typically require large clusters of GPUs to handle the computational load efficiently.
Zama is a startup that has raised $73M in Series A funding, indicating it is well-funded. The company develops Fully Homomorphic Encryption (FHE) solutions for blockchain and AI, including a privacy-preserving machine learning framework (Concrete ML) and other products that support machine learning and encrypted computations. These operations likely require large clusters of GPUs for processing encrypted data and machine learning tasks.
Linea is a startup that builds various AI and machine learning applications such as personalization engines, generative models, and computer vision applications. These operations typically require large clusters of GPUs. Additionally, the company has received significant seed stage funding from top-tier venture funds, indicating it is well-funded.
Kumo.ai is a startup that has been named a Top AI Startup by Forbes, indicating it is well-regarded and likely well-funded. The company provides a platform for AI and machine learning, utilizing state-of-the-art Graph Neural Networks and supporting enterprise data integration for enhanced machine learning model building. These operations require significant computational power, likely involving large clusters of GPUs.
MantleBio is a startup that has participated in the Y-Combinator S23 batch, indicating it is relatively new and likely well-funded. The company operates in the biotech industry and offers solutions that include AI/ML and computational biology, which typically require significant computational resources, including large clusters of GPUs. Their platform supports various data integration types and complex data workflows, further suggesting a need for substantial GPU usage.
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