AI

Do It Now: Nexus of HPC and AI

At Do IT Now, we’re reshaping the landscape of computing and data analysis by
seamlessly integrating High-Performance Computing (HPC) and Artificial Intelligence
(AI). This synergy is crucial as the boundaries between workloads blur and data
scientists, researchers and product engineers demand cutting-edge AI tools in real time.

Leading the future of AI with HPC

As the go-to partner for data scientists, Do IT Now leverages its HPC expertise to
deliver unparalleled AI services. Our commitment to innovation is fueling breakthroughs
in Large Language Models (LLM) and Computer Vision. By merging HPC and AI, we
empower data scientists to achieve groundbreaking results and drive transformative
technology solutions.

Our expertise

At Do IT Now, our AI services include:

Our team brings expertise across a diverse range of technologies crucial for AI success:

Infrastructure

  • HPC cluster configuration and design with workload
    managers (Slurm, LSF, PBS, etc.), both on-premises and in the cloud (AWS, Azure).
  • Kubernetes
  • Ray clusters
  • Spark clusters

Software

  • BCM (Base Command Manager)
  • NVIDIA software stack (drivers, CUDA, containers, NCCL, HPL, etc.)
  • NVIDIA validation tools for hardware status checks and firmware upgrades

AI frameworks

  • Torch, Keras, TensorFlow, JAX

For LLMs: Langchain, LangFuse, VectorDB (FAISS, Chroma,
etc.)

AI-as-a-service

  • Weights & Biases
  • Hugging Face
  • OpenAI
  • AWS: Bedrock, Textract, Comprehend, etc.

MLOps/DataOps

  • Dataiku
  • UbiOps
  • Kubeflow

Here’s a snapshot of the key AI services we provide to our clients:

Consulting

  • Comprehensive AI Assessment (Current state analysis)
  • Strategic AI Environment Planning, covering:
    • Organizational needs (people, skills, processes)
    • Technological requirements (data management,
      pipelines, infrastructure, ML tools, MLOps, AI platforms)
    • Budget considerations

Installation

  • Tailored Proof of Concept (PoC) for AI technology validation
  • Implementation and customization of ML frameworks and tools
  • Model benchmarking and evaluation
  • Expert training sessions

Support

  • Support for end-users running ML, including:
    • Pre- and post-processing for HPC applications
    • Simulations for HPC optimization
    • NLP models and applications
  • Assistance with AI, including:
    • NLP and Computer Vision models
    • Training and inference tasks

R&D

  • LLM model development for automating internal processes and more.

Technical paper

Container technologies have revolutionized software deployment and management, providing portability, scalability, and reproducibility across various computing platforms. While containers have gained significant popularity in diverse domains, their adoption in high-performance computing (HPC) environments poses unique challenges...

Other solutions

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