TechCrunch

Generative AI model deployment: How tech innovators can optimize inference

In this webinar, AWS and NVIDIA explore how NVIDIA NIM™ on AWS is revolutionizing the deployment of generative AI models for tech startups and enterprises. As the demand for generative AI-driven ...
Guru3D

AMD Details Single-Node and Distributed Inference Performance on Instinct MI355X

AMD has published new technical details outlining how its AMD Instinct MI355X accelerator addresses the growing inference ...
Semiconductor Engineering

Inference Framework For Deployment Challenges of Large Generative Models On GPUs (Google)

A new technical paper titled “Scaling On-Device GPU Inference for Large Generative Models” was published by researchers at Google and Meta Platforms. “Driven by the advancements in generative AI, ...
Nasdaq

Red Hat Unlocks Generative AI for Any Model and Any Accelerator Across the Hybrid Cloud with Red Hat AI Inference Server

Red Hat AI Inference Server, powered by vLLM and enhanced with Neural Magic technologies, delivers faster, higher-performing and more cost-efficient AI inference across the hybrid cloud BOSTON – RED ...
SiliconANGLE

Simplismart raises $7M to help enterprises run their own AI models with rapid inference and full control

Artificial intelligence inference startup Simplismart, officially known as Verute Technologies Pvt Ltd., said today it has closed on $7 million in funding to build out its infrastructure platform and ...
Business Wire

NEUREALITY REDEFINES AI ECONOMICS, DELIVERS INSTANT ACCESS TO LLMS OUT OF THE BOX WHILE LOWERING TOTAL COST OF AI INFERENCE

The NR1® AI Inference Appliance, powered by the first true AI-CPU, now comes pre-optimized with Llama, Mistral, Qwen, Granite, and other generative and agentic AI models – making it 3x faster to ...
Diginomica

CCE 2024 - Active Inference AI shakes up the enterprise AI conversation, with edgier thinking on what's next

At Constellation Connected Enterprise 2023, the AI debates had a provocative urgency, with the future of human creativity in the crosshairs. But questions of data governance also took up airtime - ...
Harvard Business Review

How to Deploy and Scale Generative AI Efficiently and Cost-Effectively

For business leaders and developers alike, the question isn’t why generative artificial intelligence is being deployed across industries, but how—and how can we put it to work faster and with high ...
SiliconANGLE

Cerebras Systems upgrades its inference service with record performance for Meta’s largest LLM model

Cerebras Systems Inc., an ambitious artificial intelligence computing startup and rival chipmaker to Nvidia Corp., said today that its cloud-based AI large language model inference service can run ...
Diginomica

Growing better brains - why we need to re-think the neuron for more trustworthy and efficient AI

Verses demonstrates progress in leveraging AI models using Bayesian networks and active inference that are significantly smaller, more energy efficient, and honest than Deep Neural Network approaches.
TheStreet.com

Inference Isn’t A Problem. To Democratize AI, We Need To Cut The Costs Of Data Access

“The rapid release cycle in the AI industry has accelerated to the point where barely a day goes past without a new LLM being announced. But the same cannot be said for the underlying data,” notes ...