NVIDIA | Jotup

Imgesu Cetin, CEO, Genie AI, an NVIDIA Inception Program Company, Featured on the Blockchangers Podcast

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Monday, March 25, 2024

Los Angeles, CA, March 25, 2024 (GLOBE NEWSWIRE) -- Enzo Villani , CEO, Alpha Transform Holdings (ATH) and Managing Partner of Alpha Sigma Capital funds, a leading digital asset investment and advisory organization, interviews Imgesu Cetin , CEO & Founder, of Genie AI .

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Los Angeles, CA, March 25, 2024 (GLOBE NEWSWIRE) -- Enzo Villani , CEO, Alpha Transform Holdings (ATH) and Managing Partner of Alpha Sigma Capital funds, a leading digital asset investment and advisory organization, interviews Imgesu Cetin , CEO & Founder, of Genie AI .
Genie AI was recently invited to join NVIDIA's Inception Program, the program nurtures start-ups revolutionizing industries with tech advancements.
Utilizing a gen-ai-sql technology, Genie AI automates the writing of complex queries to get to insights in seconds.
Their three unique product offerings, Slack Bot, Cloud-base and Self Hosted, help clients' with data discovery, investment strategy and business intelligence.

Zilliz Introduces Milvus 2.4 with GPU Indexing Support for CAGRA

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Wednesday, March 20, 2024

GPU, Acceleration, RAPIDS, RAG, Graphics processing unit, NVIDIA, Video game

Building on Zilliz’s commitment to innovation, Milvus 2.4 enhances GPU indexing capabilities since the introduction of GPU IVF-Flat and GPU IVF-PQ indexes last year.

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Building on Zilliz’s commitment to innovation, Milvus 2.4 enhances GPU indexing capabilities since the introduction of GPU IVF-Flat and GPU IVF-PQ indexes last year.
GPU Indexing represents a significant milestone in vector database technology, propelling Milvus 2.4 further ahead of traditional CPU-based indexes like HNSW.
Leveraging the power of GPU acceleration, Milvus 2.4 delivers remarkable performance gains, particularly under large datasets, ensuring lightning-fast search responses and unparalleled efficiency for developers.
“Bringing GPU acceleration to Milvus 2.4 with cuVS will improve a broad range of generative AI applications built on vector search, including NVIDIA NeMo Retriever.”
In addition to GPU Indexing, Milvus 2.4 introduces support for GPU-based brute force search, further enhancing recall performance without sacrificing speed.

Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search

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Wednesday, March 20, 2024

Inverted index, ANN, Algorithm, GPU, Data analysis, BM25, Multi, Expression, Collection, NVIDIA, Metadata

A new feature of Milvus 2.4 is its Multi-vector support, offering an end-to-end infrastructure solution for multi-vector search and reranker functionalities.

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A new feature of Milvus 2.4 is its Multi-vector support, offering an end-to-end infrastructure solution for multi-vector search and reranker functionalities.
Milvus 2.4 introduces a Grouping Search operation to enhance resource efficiency and developer productivity by ensuring users receive relevant and meaningful search results.
Milvus 2.4 introduces sparse vector support, facilitating efficient ANN search over sparse embeddings generated by models like SPLADEv2 or statistical models like BM25.
This enhances the accuracy of text search using hybrid search methodologies, providing users with more nuanced and relevant search results.

Global A.I. Healthcare Market Size Estimated To Reach $148.4 Billion By 2029

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Wednesday, March 20, 2024

Generating extensive and intricate healthcare datasets is a pivotal driver for AI in the healthcare Market.

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Generating extensive and intricate healthcare datasets is a pivotal driver for AI in the healthcare Market.
Integrating big data analytics and AI promises to revolutionize healthcare processes, enhancing accuracy and efficiency.
A report from MarketsAndMarkets projected that the global AI in Healthcare market size was valued at USD 20.9 billion in 2024 and is estimated to reach USD 148.4 billion by 2029, registering a CAGR of 48.1% during the forecast period.
This will boost the Company’s sales and execution capabilities within the healthcare sector, which has become a booming market for AI research, development, and adoption.

Kinetica Delivers Real-Time Vector Similarity Search

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Wednesday, March 20, 2024

Cloud, Synthetic media, ANN, OLAP, Gen, Algorithm, GPU, SQL, General partnership, RAG, SAN, Motion, Anomaly, LLM, Architecture, RAFT, Acceleration, Index, Language, NVIDIA, ANSI, Generative, Weather, Cryptocurrency

SAN JOSE, Calif., March 20, 2024 (GLOBE NEWSWIRE) -- Kinetica, the real-time GPU-accelerated database for analytics and generative AI, today unveiled at NVIDIA GTC the industry’s only real-time vector similarity search engine that can ingest vector embeddings 5X faster than the previous market leader, based on the popular VectorDBBench benchmark. Under the hood Kinetica uses NVIDIA RAPIDS RAFT to harness the power of the GPU for vector similarity search. With Kinetica’s best-in-class combined data and query latency for vector embedding pipelines, large language models (LLM) can immediately augment their results with new information via embeddings as soon as they are generated, without delays at scale.

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Under the hood Kinetica uses NVIDIA RAPIDS RAFT to harness the power of the GPU for vector similarity search.
High performance vector similarity search at speed and scale - Kinetica vectorization enables vector similarity search (exact nearest neighbor) at speed and scale even without an index.
Hybrid vector search combines similarity search with time-series, spatial, graph & OLAP through SQL - Build more powerful Generative AI applications by combining vector similarity search with filters, joins, aggregations, etc.
“By taking advantage of NVIDIA RAPIDS vector search, Kinetica can offer higher throughput, lower latency and faster index builds for Gen AI applications.”
Kinetica’s vector similarity search is now available in Kinetica 7.2 for users of Kinetica Cloud Dedicated, Developer Edition, and Kinetica Enterprise.

MiR1200 Pallet Jack: Artificial Intelligence to Revolutionize Pallet Handling

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Tuesday, March 19, 2024

Nvidia Jetson, Automation, GPU, Face, Safety, Partnership, DNA, Artificial intelligence, 3D, Transport, Software, Pallet jack, Musiktheater im Revier, AMR, Teradyne, Lidar, ISO, NVIDIA, Warehouse

With advanced artificial intelligence (AI) pallet detection, powered by NVIDIA Jetson AGX Orin , MiR1200 Pallet Jack uses 3D vision to identify pallets and do pick up and pallet delivery with unprecedented precision.

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With advanced artificial intelligence (AI) pallet detection, powered by NVIDIA Jetson AGX Orin , MiR1200 Pallet Jack uses 3D vision to identify pallets and do pick up and pallet delivery with unprecedented precision.
The MiR1200 Pallet Jack can dynamically modify its route to avoid obstacles such as loose objects on the floor or overhead obstacles.
“With MiR1200 Pallet Jack, we have developed a rugged AMR pallet jack that will work in existing customer sites that present unique environmental challenges for automation,” Hathout added.
High battery-capacity and fast charging: With a charging ratio of 1:14 and the possibility of opportunity charging, the MiR1200 Pallet Jack is ideal for 24/7 workflows.

Beamr presents accelerated video AI workflows at NVIDIA GTC

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Tuesday, March 19, 2024

At GTC, Beamr will highlight its plans for integrating AI workflows into Beamr Cloud - Beamr’s recently launched video software-as-a-service (SaaS) solution powered by NVIDIA technology - allowing easy and wide access to advanced video processing.

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At GTC, Beamr will highlight its plans for integrating AI workflows into Beamr Cloud - Beamr’s recently launched video software-as-a-service (SaaS) solution powered by NVIDIA technology - allowing easy and wide access to advanced video processing.
AI startups or even seasoned AI firms face challenges training massive video AI models.
Beamr plans to focus its research and development efforts on providing AI and generative AI players access to video AI workflows, tailored to their needs, through Beamr Cloud.
Beamr’s video optimization tech - integrated with NVIDIA’s 8th-generation GPU encoder (NVENC) , available on NVIDIA T4 Tensor Core and NVIDIA RTX GPUs, and NVIDIA L4 Tensor Core , L40 and L40S GPUs - aims to accelerate video AI workflows and enhance video pre-training, training and inference capabilities in AI pipelines.

Check Point to Set New Standard for Securing AI Cloud Infrastructure at Scale with NVIDIA

Retrieved on:

Tuesday, March 19, 2024

Cloud, Organization, Growth, DPU, Environment, Seamless, Education, Nvidia BlueField, AI, Check Point, NVIDIA, Medical device

Integrating NVIDIA BlueField DPUs, which feature a broad range of purpose-built, innovative security capabilities, the new Check Point AI Cloud Protect solution will help prevent threats at both the network and host levels.

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Integrating NVIDIA BlueField DPUs, which feature a broad range of purpose-built, innovative security capabilities, the new Check Point AI Cloud Protect solution will help prevent threats at both the network and host levels.
“We’re working with NVIDIA to deliver a new secure AI cloud solution with Check Point AI Cloud Protect that guards even the most sensitive and private AI workloads against cyber threats.”
The rapid proliferation of AI has brought about a revolution in workplace efficiency and innovation.
“NVIDIA BlueField 3 enables innovators such as Check Point to offer robust cyber defense measures to secure AI cloud data centers, while also ensuring peak AI performance."
For more information on the Check Point AI Cloud Protect security solution and its integration of NVIDIA BlueField technology, visit https://www.checkpoint.com/ai/cloudprotect/ .

Applied Digital Among First Cloud Service Providers to Use New NVIDIA Blackwell Platform

Retrieved on:

Tuesday, March 19, 2024

Cloud, Organization, Digital, HPC, AI, Graphics processing unit, Machine learning, NVIDIA, Cryptocurrency

DALLAS, March 19, 2024 (GLOBE NEWSWIRE) -- Applied Digital Corporation (Nasdaq: APLD) (“Applied Digital” or the “Company”), a designer, builder, and operator of next-generation digital infrastructure for high-performance computing (HPC) applications, announced today that it will be among the pioneering cloud service providers to use the latest NVIDIA Blackwell platform-based GPUs.

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Applied Digital to use the latest NVIDIA Blackwell platform-based GPUs for HPC applications, ensuring cutting-edge computing power for AI, machine learning, and graphics rendering.
DALLAS, March 19, 2024 (GLOBE NEWSWIRE) -- Applied Digital Corporation (Nasdaq: APLD) (“Applied Digital” or the “Company”), a designer, builder, and operator of next-generation digital infrastructure for high-performance computing (HPC) applications, announced today that it will be among the pioneering cloud service providers to use the latest NVIDIA Blackwell platform-based GPUs.
By leveraging its robust infrastructure and collaborations, Applied Digital plans to integrate NVIDIA’s cutting-edge GPUs into its cloud offerings.
“The NVIDIA Blackwell platform will help drive the continued development of generative AI for leading companies.”
Link to NVIDIA Press Release: https://nvidianews.nvidia.com/news/nvidia-blackwell-platform-arrives-to-...

NVIDIA Digital Human Technologies Bring AI Characters to Life

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Monday, March 18, 2024

Cloud, TTS, Speech, GTC, GPU, ACE, Partnership, Ubisoft, SAN, Patient, Character, Perception, ASR, NetEase, AI, RIVA, Life, Animation, Cognition, Hippocrates, DLSS, Non-player character, Language, Monk, Collection, NVIDIA, Perfect World, MiHoYo, SoftServe, Video game

“NVIDIA offers developers a world-class set of AI-powered technologies for digital human creation,” said John Spitzer, vice president of developer and performance technologies at NVIDIA.

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“NVIDIA offers developers a world-class set of AI-powered technologies for digital human creation,” said John Spitzer, vice president of developer and performance technologies at NVIDIA.
“These technologies may power the complex animations and conversational speech required to make digital interactions feel real.”
The digital human technologies suite includes language, speech, animation and graphics powered by AI:
NVIDIA ACE — technologies that help developers bring digital humans to life with facial animation powered by NVIDIA Audio2Face ™ and speech powered by NVIDIA Riva automatic speech recognition (ASR) and text-to-speech (TTS).
To showcase the new capabilities of its digital human technologies, NVIDIA worked across industries with leading developers, such as Hippocratic AI, Inworld AI and UneeQ, on a series of new demonstrations.
For GTC, NVIDIA collaborated with Hippocratic AI to extend its solution to use NVIDIA ACE microservices, NVIDIA Audio2Face along with NVIDIA Animation graph and NVIDIA Omniverse™ Streamer Client to show the potential of a generative AI healthcare agent avatar.