Abhi Gupta, Senior Product Analyst
Sayce Falk

Nov 25, 2022

Abhi Gupta, Senior Product Analyst
Sayce Falk

Nov 25, 2022

Reduce AI/ML Production Workload Costs More Than 70% by Automating Hardware Independence with OctoML

In the current economic climate, our customer conversations have begun to shift from AI innovation to AI/ML budgets, as technology and business leaders explore all avenues for cost savings.

Jared Roesch

Jared Roesch

Jun 21, 2022

Jared Roesch

Jared Roesch

Jun 21, 2022

New AI/ML Tool for Fans of Docker Compose and Kubernetes–OctoML CLI

We’re excited to share with you our first public release of OctoML CLI (v0.4.4) which provides an ML deployment workflow which should feel very familiar to anyone who uses Docker, Docker Compose and Kubernetes.

Adrian Sampson

Adrian Sampson

Apr 6, 2022

Adrian Sampson

Adrian Sampson

Apr 6, 2022

Beware the Tensor From Hell: How to Avert the Combinatorial Complexity Explosion in ML Engineering

In an earlier era, deploying ML systems was not exactly easy, but at least the problem was contained. Engineers could focus on a few important models, all of which built on similar libraries and tools. That era of uniformity is gone.

Sameer Farooqui

Sameer Farooqui

Feb 2, 2022

Sameer Farooqui

Sameer Farooqui

Feb 2, 2022

OctoML helps Woven Planet run ML inference for the next generation of smart technologies

OctoML is helping Woven Planet use Apache TVM as a core component of the Arene AI Platform to accelerate ML inference and simplify deployment across various targets.

Adrian Sampson

Adrian Sampson

Jan 11, 2022

Adrian Sampson

Adrian Sampson

Jan 11, 2022

The Future of Hardware is Software

General-purpose GPU computing helped launch the deep learning era. As ML models have grown larger and more computationally intense, however, they have changed the way GPUs are designed—and they have inspired a wave of new hardware that looks radically different from GPUs.

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