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Tag: inference

Cost-optimizing AssemblyAI speech-to-text inference on AWS with Amazon EC2 Spot | Amazon Web Services
Amazon Web Services

Cost-optimizing AssemblyAI speech-to-text inference on AWS with Amazon EC2 Spot | Amazon Web Services

vm_adminNovember 13, 2026

Speech-to-text inference is computationally intensive. Each audio file triggers a pipeline of deep learning models (acoustic models, language models, and…

Run Native DLA Inference in Python on NVIDIA Jetson AGX Orin Using cuDLA | NVIDIA Technical Blog
Nvidia

Run Native DLA Inference in Python on NVIDIA Jetson AGX Orin Using cuDLA | NVIDIA Technical Blog

vm_adminNovember 13, 2026

By Nikshay Shrivastava Publication Date: 2026-11-13 18:57:00 AI applications at the edge often need to run multiple neural networks within…

Distributed training and inference: Google’s agent projects – SiliconANGLE
Google

Distributed training and inference: Google’s agent projects – SiliconANGLE

vm_adminNovember 13, 2026

By Ryan Stevens Publication Date: 2026-11-13 07:42:00 Kubernetes has become the go-to platform for distributed training and inference, but what…

Four Amazon Bedrock inference choices that affect cost | Amazon Web Services
Amazon Web Services

Four Amazon Bedrock inference choices that affect cost | Amazon Web Services

vm_adminNovember 12, 2026

Your Amazon Bedrock inference bill can keep climbing after you tune prompts and application logic. Request-level choices can still change…

Supermicro, IBM, and NVIDIA Cut Inference Latency 56x With KV Cache on Shared Storage
IBM

Supermicro, IBM, and NVIDIA Cut Inference Latency 56x With KV Cache on Shared Storage

vm_adminNovember 6, 2026

By Brendan Burke Publication Date: 2026-11-06 00:00:00 Analyst(s): Brendan BurkePublication Date: November 6, 2026 Supermicro, IBM, and NVIDIA launched a…

SageMaker Inference now supports Multi-Instance GPU to maximize GPU utilization for model endpoints | Amazon Web Services
Amazon Web Services

SageMaker Inference now supports Multi-Instance GPU to maximize GPU utilization for model endpoints | Amazon Web Services

vm_adminNovember 6, 2026

When you deploy a model to a GPU endpoint, the smallest unit of GPU you can request is one whole…

The Iron(wood) Throne: Google’s TPU Stakes Its Claim on Inference
Nvidia

The Iron(wood) Throne: Google’s TPU Stakes Its Claim on Inference

vm_adminNovember 6, 2026

By Bryan Shan,Alec Ibarra,Cam Quilici,Kimbo Chen,Wenyao Gao,Dylan Patel,Myron Xie Publication Date: 2026-11-05 19:05:00 In November 2025, we published a newsletter…

Why Is IBM (IBM) Expanding Into Quantum Error Correction And AI Inference?
IBM

Why Is IBM (IBM) Expanding Into Quantum Error Correction And AI Inference?

vm_adminNovember 5, 2026

By Sasha Jovanovic Publication Date: 2026-11-05 20:19:00 International Business Machines (NYSE:IBM) announced a joint quantum error correction platform with Oak…

Supermicro Launches KV Cache Solution with IBM and NVIDIA Demonstrating Significant Inference Performance Benefits
IBM

Supermicro Launches KV Cache Solution with IBM and NVIDIA Demonstrating Significant Inference Performance Benefits

vm_adminNovember 5, 2026

By TradingView Publication Date: 2026-11-05 14:05:00 The KV (key-value) cache solution integrates Supermicro Petascale storage servers, IBM Storage Scale software, NVIDIA…

Nutanix, Supermicro take on runaway AI costs with jointly engineered system for private inference | TahawulTech.com
Nutanix

Nutanix, Supermicro take on runaway AI costs with jointly engineered system for private inference | TahawulTech.com

vm_adminNovember 4, 2026

By Publication Date: 2026-11-04 13:00:00 Sush Kajaria, EMEA Alliance Sales Director, Nutanix. Supermicro servers powered by Nutanix Agentic AI are…

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