Scale Computing Reliantâ„¢ Platform as a Service is a hardware- and cloud-agnostic, API-capable edge computing platform that empowers multi-site businesses to manage applications, networks, and security ...
EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.
Agentic AI systems have gone mainstream over the past year. They are now being used for several functions, including authenticating users, moving capital, triggering compliance workflows, and ...
Just like algae blooms in the ocean and pollen in the spring, there’s been an explosion in the past year or two of new software, related tools and lingo from the IT and mainstream/consumer side. Some ...
Nabeel Sheikh earned a 2026 Global Recognition Award for engineering GPU preemptible instance capabilities at a leading cloud platform that delivers substantial cost reductions for enterprise ...
Scale Computing, which is backed by Oaktree Capital Management, has agreed to acquire Adaptiv Networks, a Canada-based software-defined wide-area networks vendor. No financial terms were disclosed.
Combining Adaptiv's SD-WAN and SASE capabilities with Scale Computing's managed network services and edge computing platforms provides partners an expanded portfolio to deliver simpler, more resilient ...
Thank you, Adam. Adam has done an excellent job building trust with the investment community and we are excited to announce ...
Semiconductor Engineering sat down to discuss challenges and solutions for data center build-out and build-up with Gordon ...
While more product executives reposition AI sandbox management as a core, centralized platform product, this evolution can be a complex and demanding transition.
This leap is made possible by near-lossless accuracy under 4-bit weight and KV cache quantization, allowing developers to process massive datasets without server-grade infrastructure.
Evomi noted that adaptive concurrency settings and queue-based workflows are commonly used to manage traffic surges and maintain stable performance during peak activity periods. Additional practices ...
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