Run:AI Raises $30M Series B Funding
Company Provides AI Innovators with Dramatically more Compute Power and Speed
NetApp and Run:AI partner to simplify the orchestration of AI workloads
Partnership helps companies streamline the process of both data pipelines and machine scheduling
Case Study – Accelerate AI Experimentation by 3000%
In this talk, Run:AI CEO and co-founder Omri Geller discusses some of the challenges of AI implementation, and how to speed up delivery of AI.
NVIDIA GTC 2020 – AI Cluster Orchestration
AI has a productivity challenge – can we beat that challenge? The availability of compute power, particularly Nvidia GPUs, have helped to fuel enormous growth
Reduce Cost by 75% with Fractional GPU for Deep Learning Inference
In this post, we’ll address how fractionalizing GPU for deep learning inference workloads with lower computational needs can save 50-75% of the cost of deep
Scan Computers Announces Partnership with Run:AI
Scan Computers, a leading UK IT provider, is proud to announce its new partnership with Run:AI, a company virtualising AI infrastructure.
Run:AI helps London’s AI Centre speed up machine learning, particularly in the fight against Covid-19
After installing Run:AI, the AI Centre can run more experiments, utilize resources more efficiently, and speed up completion time for training data science models July
Run:AI creates first fractional GPU sharing for Kubernetes deep learning workloads
By creating multiple logical GPUs on a single resource, Run:AI has built another key part of AI virtualization technology Tel Aviv — Wednesday, May 6,
Run:AI COVID-19 Response: How can we help you?
Like most of you, we have been following the Coronavirus pandemic and tracking its rapid spread. As we watch the world, but particularly countries like
Run:AI announces General Availability of its K8s-based deep learning virtualization platform
The Run:AI deep learning virtualization platform, now supporting Kubernetes, brings control and visibility to IT teams supporting data science initiatives Tel Aviv — 17 March,
Breaking Static GPU Allocations with Guaranteed Quotas
– Dr. Ronen Dar, CTO Run:AI In a previous article, we discussed the problem of machine scheduling and complications that arise from inefficient GPU utilization
How Can IT Support Emerging Data Science Initiatives?
This week, Omri Geller, Run:AI’s CEO and cofounder spoke on a webinar about supporting the data science lifecycle. His talk centered on the three areas