AI & ML interests

Cloud GPU orchestration, high-performance computing (HPC), and MLOps automation. We are dedicated to scaling AI training using next-gen hardware like NVIDIA Blackwell GB10 clusters with 128GB Unified Memory. Our focus is on eliminating VRAM bottlenecks and infrastructure overhead through zero-config cloud offloading, AST-based dependency management, and optimized PyTorch environments.

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JoshuaGarcilazo  updated a Space about 1 month ago
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Welcome to Epochly 🚀

Epochly is a high-performance cloud GPU infrastructure designed to bridge the gap between local development and enterprise-grade training. We eliminate the "Boilerplate Tax" of MLOps by providing a zero-config, 1-click supervisor for AI developers.

Our Infrastructure

We leverage next-generation hardware to ensure your models train without bottlenecks:

  • NVIDIA Blackwell GB10 Clusters: Featuring 1 PetaFLOP of AI performance (FP4).
  • 128GB Unified Memory: Coherent memory space shared between CPU and GPU for ultra-fast model loading and zero PCIe bottlenecks.
  • Optimized Environments: Every job runs in a hardened container pre-installed with PyTorch 2.5+, Transformers 4.40+, and CUDA 12.4.

Why Epochly?

  • Zero-Config Offloading: Just upload your script. Our AST-driven parser auto-detects and installs your dependencies in seconds.
  • Hardened Anti-OOM Engineering: 8GB pre-allocated shared memory (shm) and swap-locking to prevent DataLoader crashes and "slow-death" OOMs.
  • Instant Cold Start: Go from upload to training in ~10 seconds, compared to ~73 minutes for manual cloud setups.

Free Public Beta

We are currently offering Free Access to our Blackwell clusters. We are looking for brutal technical feedback from the developer community to help us stress-test our orchestration and stability.

Get Started for Free at Epochly.co


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