AI inference platform FriendliAI unveiled a new offering designed to help GPU cloud operators monetize idle and underutilized ...
FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching InferenceSense, a platform that fills idle neocloud GPU capacity with paid AI ...
Predibase Inference Engine Offers a Cost Effective, Scalable Serving Stack for Specialized AI Models
Predibase, the developer platform for productionizing open source AI, is debuting the Predibase Inference Engine, a comprehensive solution for deploying fine-tuned small language models (SLMs) quickly ...
Predibase's Inference Engine Harnesses LoRAX, Turbo LoRA, and Autoscaling GPUs to 3-4x Throughput and Cut Costs by Over 50% While Ensuring Reliability for High Volume Enterprise Workloads. SAN ...
At the GTC 2025 conference, Nvidia introduced Dynamo, a new open-source AI inference server designed to serve the latest generation of large AI models at scale. Dynamo is the successor to Nvidia’s ...
Inference is rapidly emerging as the next major frontier in artificial intelligence (AI). Historically, the AI development and deployment focus has been overwhelmingly on training with approximately ...
Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...
SAN FRANCISCO – Nov 20, 2025 – Crusoe, a vertically integrated AI infrastructure provider, today announced the general availability of Crusoe Managed Inference, a service designed to run model ...
At its Upgrade 2025 annual research and innovation summit, NTT Corporation (NTT) unveiled an AI inference large-scale integration (LSI) for the real-time processing of ultra-high-definition (UHD) ...
Shakti P. Singh, Principal Engineer at Intuit and former OCI model inference lead, specializing in scalable AI systems and LLM inference. Generative models are rapidly making inroads into enterprise ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results