AWS Machine Learning Infrastructure Management for AI Teams

Modality helps AI teams design, deploy, and manage robust environments on AWS for Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and various other AI fields.

Our work focuses on leveraging AWS's robust ecosystem of AI platforms and services to provide our customers with scalable model training, inference pipelines, and distributed compute orchestration. With a decade of AWS expertise, we provide hands-on guidance to teams building advanced AI solutions.

Get AWS support for your AI projects

Why AI Teams Choose AWS

AWS provides a mix of power, flexibility, and scale through multiple mature AI tools that support any kind of Machine Learning workload. Amazon SageMaker and Amazon Bedrock offer data scientists and ML engineers built-in integrations with common frameworks and models, elastic compute options, and tools for secure data handling.

Key AWS Capabilities for Machine Learning

End-to-end AI lifecycle

Tools for data prep, model training, deployment, and monitoring, all in one ecosystem

Scalable & serverless architecture

Grow from prototype to global rollout with minimal infrastructure management

Foundation model access

Plug into leading generative AI models with options to customize and fine-tune

Multimodal intelligence

Work with text and speech (NLP), images, video, and structured data seamlessly

Built-in safety & governance

Responsible AI practices baked in—bias detection, content filters, and audit trails

Enterprise-grade Security & global reach

Compliance-ready, encrypted, and available in regions worldwide

Flexible compute

GPU, Graviton, Spot Instances

Framework support

PyTorch, TensorFlow, Hugging Face

Modality’s Support for AWS NLP and ML Environments

We work closely with AI and data science teams to architect, deploy and manage AI environments on AWS. Our services help reduce complexity, maintain cost control, and improve development velocity.

What we do

Design and deploy AWS-based ML environments
Automate DevOps workflows for training and inference
Apply FinOps practices to optimize cloud usage and cost
Monitor performance and support tuning efforts
Address security and compliance for AI-related data

HPC for Machine Learning and NLP Training at Scale

Many machine learning tasks, especially those involving Large Language Models (LLM), require HPC infrastructure. Modality enables scalable, distributed training and orchestrated workflows to execute large-scale jobs with efficiency and resilience.

Services

Architecting training environments for AI models
Orchestrating training with Slurm across elastic node groups
Managing I/O, memory, and network performance
Using Spot instances, Graviton CPUs, and cost allocation tags for cost efficiency

Running AWS NLP Projects: From Training to Inference

Modality supports a wide range of NLP initiatives on AWS. Whether you’re training a BERT variant, building search features, or deploying multilingual classification systems, we help teams run reliable NLP workflows.

Key Areas of Support

Training and fine-tuning large language models
Setting up real-time and batch inference workflows
Integrating with services like Bedrock and Comprehend
Managing model versioning and scaling endpoints
Supporting security and data governance for NLP datasets

Using Slurm for Machine Learning and NLP Workload Scheduling

AI projects often require job scheduling across multiple compute nodes. We help clients configure Slurm to coordinate model training and optimize compute usage.

Slurm-Related Services

Deployment of Slurm in AWS environments
Cluster scaling and auto-scaling policy setup
Job prioritization, queue management, and monitoring
Integration with training pipelines and DevOps tools

Cloud Services for AWS AI Projects

Modality provides managed services to help AI teams operate securely and efficiently on AWS. Our focus is on building a strong foundation, streamlining operations, and giving teams more control over how they train and serve models.

Included Support

AWS environment setup tailored for AI workloads
Ongoing cloud management and DevOps support
Storage, networking, and backup configuration
FinOps monitoring and cost governance for AI use cases

Real Results from Clients

Within just two months of collaboration, Modality helped us cut our AWS spending by 50% while improving security and performance. Their ongoing support and hands-on guidance made a real difference to our internal team and cloud operations.

Prof. Assaf Avrahami, CEO, Hashavshevet

Modality has transformed the way we manage our AWS cloud. The team is responsive, proactive, and ensures we are always cost-optimized and performance-ready

Alon Golan, CTO at Chayuta

Since partnering with Modality, our AWS environment is stable, cost-optimized, and continuously monitored. Their expert support and FinOps tools give us the confidence to scale without overspending.

Dan Later, CTO, PRO.CO.IL

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Start Optimizing Your Cloud

Get the expert AWS guidance, DevOps support, and FinOps tools you need to migrate, manage, and scale your cloud environment—securely and cost-effectively. Whether you're just starting out or already on AWS, Modality delivers proactive, high-touch service that simplifies your cloud journey.