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We are excited to announce our partnership with Crusoe, a vertically integrated AI infrastructure provider. Together, we aim to empower AI researchers and enterprises by delivering tailored ML infrastructure solutions that optimize our clients’ performance, scalability, and sustainability. This collaboration marks a significant milestone in advancing AI innovation and fostering a more environmentally-aligned and efficient future for AI-driven projects.
Learn what Crusoe brings to the table, how deepsense.ai enhances client success, and what our collaboration achieved in a real-world case with SES AI.
What Crusoe Brings to the Table
Crusoe Cloud is a scalable and easy-to-use cloud platform optimized for the most demanding AI workloads and powered by clean energy. Built on the latest, state-of-the-art GPU infrastructure, the platform delivers unmatched reliability and enterprise-grade support.
Crusoe’s AI-first computing stack combines:
- Enterprise Scale Infrastructure: High-performance GPUs (NVIDIA H200, H100 SXM, A100 SXM) with NVIDIA Quantum InfiniBand networking.
- Robust data security and compliance for enterprise-grade AI applications.
- Sustainably-powered infrastructure that reduces AI’s environmental footprint.
This partnership aligns with our mission at deepsense.ai to connect scientific discovery with impactful business solutions.
Delivering Scalable AI Experimentation Environment
“Our partnership with Crusoe has enabled us to develop scalable, reliable, and efficient infrastructure solutions,” said Michał Iwanowski, VP of AI Advisory at deepsense.ai. “This collaboration helps our clients reduce costs, improve system latency, and achieve their AI objectives, exemplifying our commitment to innovation and sustainability.”
By leveraging Crusoe Cloud, we empower our clients to:
- Scale model training to 128 x H100 GPUs (16 nodes x 8 GPUs) efficiently.
- Seamlessly integrate MLOps tools for streamlined operations.
- Monitor and optimize idle resources for non-ML tasks, enhancing overall utility.
How deepsense.ai Transforms MLOps for Your Business
Our team of MLOps experts delivers end-to-end solutions, including MLOps assessments, guidance, tailored solution development, and team augmentation. We craft customized solutions aligned with your project’s scope, AI stack maturity, and team expertise by addressing common challenges such as resource optimization, cost management, and deployment strategies. E.g., we can help our clients with:
- Implementing orchestration tools for scheduling and queueing jobs, as well as ML pipelines, to optimize resource usage.
- Enabling multi-node, multi-GPU parallel, and distributed processing on the platform.
- Designing and building an MLOps computing cluster based on client requirements.
- Setting up networking and data storage.
- Monitoring workloads and resource consumption with a designated dashboard.
- Providing MLOps tooling for experiment tracking (including training progress, metrics, and metadata) and model management.
- Supporting flexible usage of different versions of tools, such as CUDA and Python, to meet the needs of research teams.
Combining deep expertise in AI and MLOps with tailored, client-focused solutions, deepsense.ai empowers organizations to overcome operational challenges and accelerate their AI-driven innovation.
Case Study: Streamlined AI Infrastructure for SES AI – Improving Resource Orchestration and AI Model Management
Our collaboration with Crusoe has already delivered impactful results for clients like SES AI, a global leader in advanced Li-Metal battery manufacturing. SES AI’s challenge was to improve the efficiency and stability of its AI infrastructure to support a team of 10-15 data scientists working on deep learning models such as LLMs and advanced material simulations.
Our Solution
To address SES AI’s challenges, we designed and deployed computing clusters seamlessly integrated with robust MLOps tooling to enhance workflow efficiency and model management. We also established a reliable network and storage setup and implemented a stable cloud ML infrastructure, ensuring optimal resource management across the organization. Additionally, we provided comprehensive support in setting up, maintaining, and scaling cloud infrastructure, enabling SES AI to focus on its core innovation efforts without disruptions.
The Impact
The implementation of our solution created a reliable and scalable environment for training machine learning models, ensuring SES AI could meet its project goals effectively. We significantly improved resource efficiency, enabling SES AI to complete a 12-month research project with optimal performance.
We also enhanced collaboration among the data science team while reducing system latency, resulting in faster and smoother interactions. The orchestration tool ensures optimal usage of resources, which schedules and queues jobs based on current necessities. This AI infrastructure enables parallel and distributed training – across different nodes and GPUs.
Moreover, the whole platform can be easily monitored with designated dashboards to track workload and resource consumption.
Crusoe Cloud and deepsense.ai Transform AI Infrastructure for SES AI
“Crusoe Cloud has been instrumental in meeting SES AI’s need for scalable and stable infrastructure providing immense computing power (128 NVIDIA H100 GPUs). This project exemplifies how our partnership drives tangible benefits for clients,” said Mateusz Kwaśniak, Tech Leader at deepsense.ai.
This partnership underscores the transformative impact of robust AI infrastructure, empowering SES AI to accelerate its research and innovation in advanced battery technologies.
Shaping the Future of AI Together
This partnership builds on our history of successful collaborations with tech leaders like NVIDIA, LangChain, Anyscale, and OpenAI. With Crusoe’s innovative AI cloud solutions and our proven track record in applied AI, we are poised to unlock new opportunities for businesses to thrive in the AI era.
Together with Crusoe, we are paving the way for a future where AI infrastructure is not only high-performing but also environmentally responsible. We look forward to continuing this journey and delivering groundbreaking solutions to our clients.
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