AI Inference – AI.RadicalShift

newsQ.ANT Unveils Groundbreaking Photonic Native Processing Unit for Sustainable AI and Machine Learning Performance

AI Inference, AI models, Algorithms, Analytics, Artificial Intelligence, Europe, Generative AI, Industrial, LLMs (Large Language Models), Machine learning

January 1, 2025

Sheryl Rivera

AI applications, AI Inference, CMOS technology, data center, energy efficiency, Eric Mounier, Fourier transform, GPT-4 queries, HPC, LENA, Light Empowered Native Arithmetics, machine learning, MNIST datasets, Native Processing Server, Native Processing Unit, NPS, NPU, PCI-Express, photonic computing, photonics, physics simulation, pre-order, Q.ANT, Q.ANT Toolkit, sustainable computing, TFLN, Thin-Film Lithium Niobate, Yole Group

STUTTGART — Q.ANT has launched its first Native Processing Unit (NPU), marking a significant step in the evolution of photonic computing. Designed for high-performance applications such as AI Inference, machine learning, and physics simulation, the NPU utilizes the company’s LENA (Light Empowered Native Arithmetics) architecture, offering groundbreaking improvements in energy efficiency and computational performance. The…
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newsAWS Expands NVIDIA NIM Microservices Availability to Drive High-Performance Generative AI Inference

AI assistants, AI Inference, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Cloud, Data centers, Generative AI, Industrial

December 5, 2024

Oleg Lazarov

AI application deployment, AI Inference, Amazon Bedrock Marketplace, Amazon EC2, Amazon EKS, Amazon SageMaker JumpStart, AWS, AWS Marketplace, Cloud, data center, generative AI, high-performance AI, Llama 3.1 70B-Instruct, Llama 3.1 8B-Instruct, Mixtral 8x7B Instruct, multilingual models, Nemotron-4, NIM microservices, NVIDIA, NVIDIA AI Blueprints, NVIDIA AI Enterprise, NVIDIA API catalog, NVIDIA TensorRT, NVIDIA Triton Inference Server, scalable AI solutions, secure AI solutions, SoftServe, synthetic data, text generation, workstation environments

SANTA CLARA — At its annual AWS re:Invent conference, Amazon Web Services (AWS) announced an expanded collaboration with NVIDIA to enhance the deployment of generative AI applications. NVIDIA NIM microservices, optimized for high-performance inference, are now available through AWS Marketplace, Amazon Bedrock Marketplace, and Amazon SageMaker JumpStart. This integration aims to deliver faster AI inference,…
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newsNVIDIA and AWS Unveil Groundbreaking AI, Quantum, and Robotics Solutions to Accelerate Enterprise Development at SC24

AI models, Algorithms, Analytics, Artificial Intelligence, Cloud, Cybersecurity, Data centers, Generative AI, Graphics Processing Unit (GPU), IoT, Machine learning, Quantum Computing, Retrieval-augmented generation (RAG), Robotics

December 4, 2024

Oleg Lazarov

A-Alpha Bio, AI, AI Blueprints, AI Inference, Amazon EC2, Apache Spark, AWS, AWS HealthOmics, AWS Marketplace, BioNeMo™, Blackwell, cloud computing, Cloudera, Cohesity, CUDA-Q™, cybersecurity, Data Science, DataStax, Deloitte, DGX Cloud, generative AI, Generative AI Solutions, industrial edge systems, IoT Greengrass, Isaac Sim, Jetson Orin, machine learning, Mercy Corps, NeMo, NVIDIA, NVIDIA Blueprints, NVIDIA H100 Tensor Core GPUs, NVIDIA IGX Orin, NVIDIA NIM Microservices, NVIDIA Omniverse™, quantum computing, quantum-classical applications, RAPIDS, robotics, video search, VISTA-2D, VISTA-3D

SANTA CLARA — At the SC24 event, NVIDIA and Amazon Web Services (AWS) showcased their growing collaboration to offer groundbreaking AI, quantum computing, and robotics solutions through a series of innovations designed to accelerate enterprise development. One of the major announcements included the availability of NVIDIA DGX Cloud on AWS Marketplace Private Offers, providing a…
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newsNVIDIA Launches ALCHEMI NIM Microservice to Revolutionize Material Discovery and Accelerate the Renewable Energy Transition

AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Energy, Gas & Oil, Environment, Graphics Processing Unit (GPU), Industrial, Supercomputer

November 19, 2024

Sheryl Rivera

AI Inference, AIMNet2 model, ALCHEMI NIM microservice, chemical simulations, electric vehicle batteries, energy storage, environmental sustainability, high-throughput discovery, lithium-metal batteries, MACE-MP-0 model, manufacturability simulations, material discovery, molecular properties, Net Zero Initiative, NVIDIA, NVIDIA AI Enterprise, NVIDIA H100 Tensor Core GPUs, NVIDIA NGC catalog, Qichao Hu, renewable energy transition, SES AI, solar panels, Supercomputing 2024, Sustainable innovation, virtual lab

SANTA CLARA — At the Supercomputing 2024 conference in Atlanta, NVIDIA introduced the ALCHEMI NIM microservice, a groundbreaking tool designed to optimize AI inference for chemical simulations. This innovation is set to transform the discovery of novel materials, advancing the renewable energy transition while addressing critical global challenges such as energy storage and environmental sustainability.…
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newsJuniper Networks Invests in Recogni to Enhance Scalable AI Solutions for the Future of Cloud and Data Center Computing

AI Inference, AI models, Americas, Artificial Intelligence, Data centers, Generative AI, Industrial, Investment

November 13, 2024

Sheryl Rivera

AI acceleration, AI Inference, AI Models, Celesta Capital, cloud computing, Data Centers, energy efficiency, generative AI, GreatPoint Ventures, hyperscalers, Juniper Networks, Marc Bolitho, Pareto math, Rami Rahim, Recogni, scalable AI solutions, Series C funding

SUNNYVALE/ SAN JOSE — Juniper Networks, a leader in AI-native networking, has announced its participation in Recogni’s $102 million Series C funding round, co-led by Celesta Capital and GreatPoint Ventures. As part of this investment, the two companies will collaborate to address the growing demand for scalable, energy-efficient AI inference solutions in cloud environments and…
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newsNVIDIA and SoftBank Forge Partnership to Lead Global AI Revolution and Transform Japan’s Telecom Sector

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Asia, Autonomous driving, Banks, Generative AI, Investment, LLMs (Large Language Models), Robotics, Telecom

November 12, 2024

Oleg Lazarov

AI Enterprise software, AI Inference, AI infrastructure, AI initiatives, AI supercomputer, AI-5G telecom network, AI-RAN, AITRAS, autonomous vehicles, Blackwell platform, DGX SuperPOD, digital transformation, field trial, Fujitsu, generative AI, Grace Blackwell platform, Japan, Kanagawa prefecture, large language models, mobile operations, multimodal retrieval, NVIDIA, NVIDIA Aerial CUDA-accelerated RAN, NVIDIA AI Aerial, NVIDIA AI Enterprise, NVIDIA Blackwell GPUs, NVIDIA DGX B200 systems, NVIDIA Grace CPUs, power efficiency, Quantum-2 InfiniBand, Red Hat, revenue streams, robotics control, SoftBank, Telecom, telecom infrastructure

SANTA CLARA — NVIDIA has announced a strategic collaboration with SoftBank Corp. aimed at advancing Japan’s sovereign AI initiatives and solidifying the country’s leadership in global technology. The partnership is set to unlock significant AI revenue opportunities for telecommunications providers worldwide. At the NVIDIA AI Summit in Japan, CEO Jensen Huang revealed that SoftBank is…
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newsJuniper Networks Invests in Recogni to Drive Scalable, Energy-Efficient GenAI Solutions for Complex AI Models

AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Cloud, Data centers, Edge computing, Generative AI, Industrial

November 12, 2024

Oleg Lazarov

AI Inference, AI inference accelerator, AI innovation, AI Models, AI operations, AI systems, AI-Native Networking, California, Celesta Capital, Cloud, cloud environments, cloud service providers, compute service providers, cost-effective AI systems, cost-effectiveness, data center, Data Centers, Edge, energy-efficient solutions, enterprises, Europe, generative AI, generative AI inference market, GreatPoint Ventures, hyperscalers, Juniper Networks, Juniper Networks AI-Native Networking Platform, Juniper’s venture funding, Marc Bolitho, networking, networking solutions, North America, Pareto mathematics, power efficiency, Rami Rahim, Recogni, Recogni’s AI accelerator, responsible scaling, scalability, Series C funding, total cost of ownership, venture funding

SUNNYVALE/ SAN JOSE — Juniper Networks, a leader in secure, AI-Native Networking, has announced its investment in Recogni, a pioneering company specializing in generative AI inference. As part of Recogni’s $102 million Series C funding round, co-led by Celesta Capital and GreatPoint Ventures, Juniper’s involvement will help accelerate the development of scalable, cost-effective, and energy-efficient solutions…
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newsRecogni Unveils Pareto: A Revolutionary Logarithmic System for Optimizing GenAI Inference

AI Inference, AI models, Americas, Artificial Intelligence, Generative AI, Industrial

August 21, 2024

Oleg Lazarov

AI efficiency, AI Inference, AI Models, AI technology, chip design, energy-efficient AI, generative AI, Gilles Backhus, logarithmic number system, machine learning, Marc Bolitho, NeurIPS 2024, operational efficiency, Pareto, power consumption, Recogni

SAN JOSE — Recogni Inc., a leader in Generative AI inference technology, has introduced Pareto, its revolutionary logarithmic number system that promises to redefine AI chip design. This breakthrough system enables AI models to run more efficiently by converting multiplications into additions, resulting in smaller, faster, and more energy-efficient chips, without compromising the accuracy required…
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newsRecogni Secures $102 Million in Series C Funding to Advance AI Inference Solutions

AI Inference, Americas, Automotive, Aviation & Aerospace, Generative AI

February 22, 2024

Oleg Lazarov

AI acceleration technique, AI applications, AI Inference, AI inference solutions, BMW i Ventures, Celesta Capital, cost-effective AI computing, DNS Capital, efficient inference compute, generative AI, GreatPoint Ventures, low-power AI compute, Marc Bolitho, Mayfield, performance, Pledge Ventures, power efficiency, Recogni, Recogni Scorpio, Sriram Viswanathan, SW Mobility Fund, Tasaru Mobility Investments

SAN JOSE — Recogni, Inc., a pioneer in AI-based computing, has successfully closed a $102 million Series C funding round, co-led by Celesta Capital and GreatPoint Ventures. The investment, supported by existing investors Mayfield, DNS Capital, BMW i Ventures, and SW Mobility Fund, as well as new investors Pledge Ventures and Tasaru Mobility Investments, marks…
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newsInflection AI Announces Breakthrough Performance with One of the World’s Largest AI Computing Clusters

AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, LLMs (Large Language Models), Semiconductors

June 28, 2023

Sheryl Rivera

AI accessibility, AI computing, AI Inference, AI infrastructure, AI innovation, AI optimization, AI training, benchmark performance, Chinchilla, CoreWeave, DeepMind, Google, GPT-3.5, Inflection AI, Inflection AI cluster, Inflection-1, Karén Simonyan, large language models, Llama, LLMs, MLPerf, Mustafa Suleyman, natural language processing, NVIDIA, NVIDIA H100 Tensor Core GPUs, OpenAI, PaLM 540B, Palo Alto, personal AI, Pi, Public Benefit Corporation, Reid Hoffman, safe AI products

PALO ALTO — Inflection AI, in collaboration with CoreWeave and NVIDIA, has achieved a major milestone in AI computing, setting a new industry benchmark on MLPerf, the leading open-source standard for AI performance evaluation. Utilizing over 3,500 NVIDIA H100 Tensor Core GPUs, the Inflection AI cluster completed the reference training task in a record-breaking 11…
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newsOpenAI and Microsoft Strengthen Partnership with Major Investment

Algorithms, Americas, Analytics, Artificial Intelligence, Generative AI, Generative pre-trained transformers (GPT), Internet & Online, Predictive analytics

January 24, 2023

Sheryl Rivera

advanced AI, AI Inference, AI Models, AI research, AI training, API, Azure, Azure cloud provider, Codex, DALL·E, GitHub Copilot, GPT, Microsoft, Microsoft Designer, OpenAI, OpenAI non-profit, powerful AI, products, research, safe AI, supercomputing systems, useful AI

SAN FRANCISCO — OpenAI and Microsoft have announced the extension of their partnership, marking another significant step in their collaboration. This new multi-year, multi-billion-dollar investment from Microsoft follows previous investments made in 2019 and 2021, reinforcing their shared commitment to advancing safe, useful, and powerful AI. As part of its mission to ensure that advanced…
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newsNVIDIA Sets New Standards in Conversational AI with Record-breaking Performance

Algorithms, Americas, Analytics, Artificial Intelligence, Automation, Deep learning, Industrial, Language model training, LLMs (Large Language Models), Semiconductors

August 14, 2019

Sheryl Rivera

AI Inference, AI platform, BERT, Bing, Bryan Catanzaro, Clinc, conversational AI, GPU, language understanding, Microsoft, natural interactions, NVIDIA, Passage AI, Recordsure

SANTA CLARA — In a significant leap forward for conversational AI, NVIDIA has achieved groundbreaking milestones in language understanding, drastically reducing training times and inference durations for AI models. The announcement, made today, heralds a new era where real-time conversational AI becomes a tangible reality, poised to revolutionize various industries including retail, customer service, automotive,…
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What is RadicalShift AI?

RadicalShift.ai represents the paradigm shift the artificial intelligence (AI) brings upon all of us, from the way we live and work to the way we do business. To help cope with these fundamental changes across life, industries and the world in general, we are obsessively observing (30+ markets across multiple continents) and covering the AI industry while building a scalable open platform aimed at people, businesses and industry stakeholders to contribute across (benefit from) the entire spectrum of the AI industry from news, views, insights to knowledge, deployments, entities, people, products, tools, jobs, investors, pitch decks, and beyond, helping build what would potentially be a resourceful, insightful, knowledgeable and analytical source for AI related news, information and resources, ultimately becoming the AI industry graph/repository.