Edge AI vs. Cloud AI: Understanding the benefits and trade-offs of inferencing locations
Ellie Gabel, Associate Editor for Revolutionized.com As artificial intelligence gains momentum and people explore various use cases, inference locations are…
Edge systems rely on a variety of software infrastructure components, including operating systems, virtualization tools, developer platforms, and cloud aggregation and orchestration managers. While some of these tools are used in other areas of computing, the software elements themselves or their implementation at or near the network edge tend to be distinct.
Ellie Gabel, Associate Editor for Revolutionized.com As artificial intelligence gains momentum and people explore various use cases, inference locations are…
UK-based startup NexGen Cloud raised $45m in Series A funding to enhance its AI infrastructure platform for European enterprises. Initially…
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By Kevin Cochrane, Chief Marketing Officer, Vultr 2025 has been dubbed the “Year of Edge AI.” From smart manufacturing and…
Akamai launched its Akamai Cloud Inference service designed to improve AI inference performance, boasting better throughput, 60% less latency, and…
Lambda, a GPU cloud provider, announced the general availability of multi-node NVIDIA HGX B200-accelerated clusters on-demand via their 1-Click Clusters…
By Bruce Kornfeld, Chief product Officer, StorMagic The cloud services landscape is evolving as businesses seek greater flexibility to support…
Akamai and VAST Data have partnered to enhance data-intensive AI inferencing by combining Akamai’s distributed platform with VAST’s AI data…
Oracle and NVIDIA announced a collaboration to integrate NVIDIA AI tools and Oracle Cloud Infrastructure (OCI) to accelerate the development…
Ori, a UK-based GPU cloud provider, has selected Kao Data’s NVIDIA DGX-Ready data center in Harlow for its first UK-based…