Blitz Logoblitz

distributed deep learning,
no headaches.

spin up scalable machine learning infrastructure in minutes

Blitz lets anyone launch distributed ML pipelines without writing a single line of code. Provision compute across cloud, on-prem, or hybrid clusters while focusing entirely on your models and experiments.

Join Pilot

Why blitz?

Blitz enables teams to run ML workloads end-to-end without programming models or managing infrastructure. Deploy pipelines anywhere — cloud, on-prem, or hybrid — with full automation and minimal setup.

Distributed Compute

Run ML workloads across any combination of cloud, on-prem, or hybrid machines without writing orchestration code.

Auto-Provisioned Infrastructure

Declarative workflow definitions instantly generate compute, storage, and networking, eliminating DevOps overhead.

High-Performance Core

Engineered from scratch in C++ with low-latency schedulers and optimized transport for massive throughput.

Zero DevOps

Everything from networking to storage works out-of-the-box. Deploy without headaches.

A True Technology Platform

Compute
High AvailabilityScalableReliable
  • Distributed execution across cloud, on-prem, or hybrid environments
  • Automatic job replication for fault tolerance
  • Real-time node health monitoring
  • Optimized task scheduling for low-latency workloads
Infrastructure
No-Code SetupMulti-CloudHybrid Ready
  • Auto-provision compute, storage, and networking from workflow definitions
  • Hybrid and multi-cloud support without Kubernetes or Terraform
  • End-to-end orchestration without coding
ML Pipelines
No ML Code RequiredQuick DeployVisual Workflows
  • Visual no-code pipeline editor
  • One-click deployment and experiment management
  • Automatic data movement between nodes
  • Support for multiple ML frameworks
Performance
Low LatencyHigh ThroughputReal-Time Metrics
  • C++ core for high throughput scheduling
  • Optimized transport and storage for large datasets
  • Real-time metrics and logging
  • Minimal overhead on compute nodes

Real-Time DAG Visualization

Track ML tasks as they flow across cloud, on-prem, and hybrid environments.

Real-time insights into cluster activity and pipeline performance.

nodes Online6
jobs Running0
jobs Completed0
throughput0
avg Job Duration0
avg Data Throughput0
Node Health
Compute-1
Compute-2
Compute-3
Data-10 MB/s
Data-20 MB/s
Data-30 MB/s
Job Completion

Who Is blitz For?

Designed for teams of all sizes—from researchers to enterprise ML teams.

ML Engineers
AI Startups
Labs & Researchers
Enterprises needing on-prem or private cloud ML
Teams looking to simplify ML infrastructure management

Join the Pilot Program

Get early access to Blitz and see your distributed ML workflows in action. Receive dedicated support while shaping features that matter to real teams.

Hands-On Support

Dedicated onboarding and priority help to get your first pipelines running fast.

Early Access & Influence

Test features first and help shape the product roadmap for real ML workflows.

The Team

Andrei Jianu

Co-Founder & CEO

Infrastructure engineer with experience building scalable distributed systems. Focused on eliminating ML friction and simplifying deep learning workflows.

Ralph El-Helou

Co-Founder & CTO

Systems engineer specializing in low-level performance and distributed orchestration. Architecting the core compute engine powering Blitz.

Say Hello 👋

Got a question or just curious about Blitz? Send us a message!