GPU | Jotup

Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search

Retrieved on:

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.

Key Points:

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.

Kinetica Delivers Real-Time Vector Similarity Search

Retrieved on:

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.

Key Points:

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

Retrieved on:

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.

Key Points:

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.

Mawson Infrastructure Group Inc. Announces Monthly Operational Update for February 2024

Retrieved on:

Tuesday, March 19, 2024

Consensus, M/M, Conference, GPU, FTI, Miner, Y/Y, Artificial intelligence, Total, Cryptocurrency

MIDLAND, Pa., March 19, 2024 (GLOBE NEWSWIRE) -- Mawson Infrastructure Group Inc. (NASDAQ:MIGI) (“Mawson” or the “Company”), a digital infrastructure company, announced today its unaudited business and operational update for February 2024.

Key Points:

February Self-Mining Business Revenue up 159% Y/Y and up 23% M/M, about $2.56 million
February Co-Location Business Revenue about $2.70 million, represents about 62 MW and 19,400 miners
MIDLAND, Pa., March 19, 2024 (GLOBE NEWSWIRE) -- Mawson Infrastructure Group Inc. (NASDAQ:MIGI) (“Mawson” or the “Company”), a digital infrastructure company, announced today its unaudited business and operational update for February 2024.
We are also pleased with the 23% M/M growth in our self-mining business, despite the significant recent increase in network difficulty.
Our core operational, technological, and strategic plans continue to advance with our growing role in the industry and our ecosystem.”
Total monthly revenue increased 141% Y/Y to about $5.42 million and the equivalent of 109 BTC1.
Mawson’s Bellefonte facility continues to operate at approximately 8.8 MW of capacity and is used entirely for self-mining purposes.

Beamr presents accelerated video AI workflows at NVIDIA GTC

Retrieved on:

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.

Key Points:

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.

LightSolver LPU100 Laser Computing System Empowers Enterprises to Solve the Toughest Optimization Problems

Retrieved on:

Tuesday, March 19, 2024

Organization, Risk management, GPU, Vehicle, VMM, Laser, Risk, Quantum computing, Electronics, Senior, Computer, Collection, VRP, TEL

TEL AVIV, Israel, March 19, 2024 (GLOBE NEWSWIRE) -- LightSolver , creator of a new laser-based computing paradigm, today announced a breakthrough in quantum-inspired high-performance computing.

Key Points:

TEL AVIV, Israel, March 19, 2024 (GLOBE NEWSWIRE) -- LightSolver , creator of a new laser-based computing paradigm, today announced a breakthrough in quantum-inspired high-performance computing.
Its LPU100 system unleashes the power of 100 lasers to solve the toughest optimization problems, challenging the processing times of quantum and supercomputers.
The compute capabilities of the LPU100 are now accessible to select enterprise clients through LightSolver’s new cloud platform.
As a purely optical system, the LPU100 overcomes the performance barriers of electronics and can execute mathematical operations at unprecedented speed.

NVIDIA Digital Human Technologies Bring AI Characters to Life

Retrieved on:

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.

Key Points:

“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.

NVIDIA Announces Project GR00T Foundation Model for Humanoid Robots and Major Isaac Robotics Platform Update

Retrieved on:

Monday, March 18, 2024

SAN JOSE, Calif., March 18, 2024 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced Project GR00T, a general-purpose foundation model for humanoid robots, designed to further its work driving breakthroughs in robotics and embodied AI.

Key Points:

SAN JOSE, Calif., March 18, 2024 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced Project GR00T, a general-purpose foundation model for humanoid robots, designed to further its work driving breakthroughs in robotics and embodied AI.
“Building foundation models for general humanoid robots is one of the most exciting problems to solve in AI today,” said Jensen Huang, founder and CEO of NVIDIA.
NVIDIA also announced Isaac Manipulator and Isaac Perceptor — a collection of robotics pretrained models, libraries and reference hardware.
Among early ecosystem partners are Yaskawa, Universal Robots, a Teradyne company, PickNik Robotics, Solomon, READY Robotics and Franka Robotics.

NVIDIA Announces Earth Climate Digital Twin

Retrieved on:

Monday, March 18, 2024

SAN JOSE, Calif., March 18, 2024 (GLOBE NEWSWIRE) -- GTC -- To accelerate efforts to combat the $140 billion in economic losses due to extreme weather brought on by climate change, NVIDIA today announced its Earth-2 climate digital twin cloud platform for simulating and visualizing weather and climate at unprecedented scale.

Key Points:

SAN JOSE, Calif., March 18, 2024 (GLOBE NEWSWIRE) -- GTC -- To accelerate efforts to combat the $140 billion in economic losses due to extreme weather brought on by climate change, NVIDIA today announced its Earth-2 climate digital twin cloud platform for simulating and visualizing weather and climate at unprecedented scale.
“Climate disasters are now normal — historic droughts, catastrophic hurricanes and generational floods appear in the news with alarming frequency,” said Jensen Huang, founder and CEO of NVIDIA.
It also includes GPU acceleration of numerical weather prediction models like ICON on the latest NVIDIA Grace Hopper™ systems.
Running on NVIDIA DGX GH200, HGX™ H100 and OVX™ supercomputers, Earth-2 may provide a path to simulate and visualize the global climate simulations at unprecedented speed and scale.

NVIDIA Announces New Switches Optimized for Trillion-Parameter GPU Computing and AI Infrastructure

Retrieved on:

Monday, March 18, 2024

The world’s first networking platforms capable of end-to-end 800Gb/s throughput, NVIDIA Quantum-X800 InfiniBand and NVIDIA Spectrum™-X800 Ethernet push the boundaries of networking performance for computing and AI workloads.

Key Points:

The world’s first networking platforms capable of end-to-end 800Gb/s throughput, NVIDIA Quantum-X800 InfiniBand and NVIDIA Spectrum™-X800 Ethernet push the boundaries of networking performance for computing and AI workloads.
“NVIDIA Networking is central to the scalability of our AI supercomputing infrastructure,” said Gilad Shainer, senior vice president of Networking at NVIDIA.
“NVIDIA X800 switches are end-to-end networking platforms that enable us to achieve trillion-parameter-scale generative AI essential for new AI infrastructures.”
Initial adopters of Quantum InfiniBand and Spectrum-X Ethernet include Microsoft Azure and Oracle Cloud Infrastructure.
Behind this transformation is the evolution of data centers into high-performance AI engines with increased demands for networking infrastructure,” said Nidhi Chappell, Vice President of AI Infrastructure at Microsoft Azure.