Agnostiq is building Covalent, a next-generation, cloud-agnostic accelerated computing platform that allows startups and enterprises to build AI or HPC applications in a simple, scalable, and cost-effective way.

Agnostiq

Covalent

Agnostiq is the company behind Covalent, a fully Pythonic, serverless compute engine for AI/ML/HPC. Learn more at www.covalent.xyz

Scout Ventures

Boost VC

Tensility Venture Partners

Green Egg Ventures

Differential Ventures

Don't let infrastructure work slow down development and deployment of your AI applications. Covalent orchestrates infrastructure for training, fine-tuning, and inference so developers can run GPUs and CPUs directly from code.

👉 See this blog for building an AI model foundry that combines large-scale data synthesis, model fine-tuning, workflows, and LLM serving, in under an hour: https://lnkd.in/evqYnPVf

🚀 Get started with Covalent Cloud with up to 30 hours of free GPU compute today!

#ai #genai #inference #llm #llama3 #vllm #finetuning #python

Agnostiq is proud to be a member of the MongoDB AI Innovators program, and Covalent was recently featured for democratizing #AI and #HPC while taking open source and cloud-agnostic approaches: https://lnkd.in/eXYbqyiH

Looking forward to two AI Tinkerers meetups in the Bay Area this week!

Meet Covalent in San Francisco on August 21st at GitHub HQ, along with co-sponsors Microsoft and Neo4j. Details: https://lnkd.in/euKUSdGa

And join us in Palo Alto on August 22nd at Groq HQ, along with co-sponsors Ascend and Bloomberg Beta. Details: https://lnkd.in/gRvC5uQh

Thanks to Joe Heitzeberg and Paul Klein IV for organizing.

Agnostiq and MongoDB Atlas are revolutionizing research workflows! 💡

With the Covalent framework, Agnostiq is making high-performance computing both accessible and scalable across multi-cloud environments.

Discover how this partnership is shaping the future of AI and HPC in our latest blog post! 👇
https://lnkd.in/dyyi3cXg

🦙 Serving AI takes just a few lines of Python with Covalent. Host and deploy open source and custom models on GPUs, without the burden of infrastructure management.

👉 See this tutorial for serving up a Llama-based model to an interactive chatbot. Full Python code, leveraging LLMs from Hugging Face and Streamlit, here: https://lnkd.in/e58UAqjE

🚀 Get started with up to 30 hours of free GPU compute today!

#ai #genai #inference #llm #llama3 Hugging Face #huggingface Streamlit

Building AI agents?

🚀 Covalent enables developers to easily create multi-agent AI running on serverless GPUs/CPUs. Dependencies are expressed as a seamless Python workflow, and each agent can be fine-tuned and deployed on its own GPUs/CPUs and environment. Best of all: no infra work needed!

👉 See this tutorial for developing a prompt refining application that distributes work across multiple agent services. Full Python code, leveraging Llama3 models from Unsloth and vLLM, here: https://lnkd.in/e-b4r6c8

#ai #genai #inference #llm #llama3 #vllm

⚛️ Run simulations, scientific compute, and AI on cloud GPUs & CPUs - using only Python, no infra knowledge needed.

💥 Learn how to scale simulations and compute-intensive calculations to thousands of cores in the cloud, from a single-core in a notebook: https://lnkd.in/eyPDq2uk

🚀 Get started with up to 30 hours of free GPU compute today!

#python #programming #supercomputing #scientificcomputing #datascience #compchem #chemistry #materialscience

Attending #Q2B24Tokyo? Will Cunningham, Head of Quantum & HPC at Agnostiq, will discuss how the convergence of #AI, #quantum computing, and high-performance GPUs is ushering a transformative era in application development and deployment.

Learn more: https://lnkd.in/eeVRrRXn

Q2B Tokyo starts on Wednesday!

Don't miss the Quantum & HPC panel featuring Ryousei Takano, Elica (Elitsa) Kyoseva, Yuval Boger, and OKTAY GOKTAS on July 24 at 5:30pm.

Thanks to QC Ware Corp. for organizing #Q2B24TOKYO .

Agents take over New York City tomorrow at the AI Tinkerers event. Look forward to discussing AI agents, agentic workflows, and serverless GPU infrastructure.
RVSP: https://lnkd.in/dp49Vsdf

Shout out to organizers and collaborators at AI Tinkerers, crewAI, and betaworks!

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