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Cloud Infrastructure Service Market Expected to Reach $282 Billion By 2033

Retrieved on:

Jeudi, mai 23, 2024

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A report from MarketResearch.Biz said that the cloud infrastructure service market was valued at USD 131.9 billion in 2023.

Key Points:

A report from MarketResearch.Biz said that the cloud infrastructure service market was valued at USD 131.9 billion in 2023.
It is expected to reach USD $282.1 billion by 2033, with a CAGR of 8.11% during the forecast period from 2024 to 2033.
The report added: “The surge in demand for new cloud-based advanced technologies and the rise in data quantities are some of the main driving factors for the cloud infrastructure service market.” Cloud infrastructure plays an important role in cloud computing.
The virtualized resources are then developed by a cloud service provider in the case of a private cloud and made accessible to users all over the internet.

Falcon 2: UAE’s Technology Innovation Institute Releases New AI Model Series, Outperforming Meta’s New Llama 3

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Lundi, mai 13, 2024

More importantly, Falcon 2 11B and 11B VLM are both open-source, empowering developers worldwide with unrestricted access.

Key Points:

More importantly, Falcon 2 11B and 11B VLM are both open-source, empowering developers worldwide with unrestricted access.
In the near future, there are plans to broaden the Falcon 2 next-generation models, introducing a range of sizes.
The new scaled-down and versatile Falcon 2 11B models are set to give TII greater market adoption in the ever-evolving world of generative AI.
Falcon 2 11B is licenced under TII Falcon License 2.0, the permissive Apache 2.0-based software license which includes an acceptable use policy that promotes the responsible use of AI.

MONTAGE GOLD RECEIVES ENVIRONMENTAL PERMIT

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Jeudi, mai 9, 2024

MPA, Direction, Hearing, Republic, Climate, Ministerial order, Sustainable development, Government, Water, Feasibility study, Ministry, Cabinet, Minister, Mining, TSX Venture Exchange, Moe, Equipment, Renewable energy

Montage receives Ministerial Order from the Ministry of Environment, Sustainable Development and Ecological Transition of Côte d'Ivoire granting the environmental permit for the development of its Koné project

Key Points:

Montage receives Ministerial Order from the Ministry of Environment, Sustainable Development and Ecological Transition of Côte d'Ivoire granting the environmental permit for the development of its Koné project
President Alassane Ouattara of the Republic of Côte d'Ivoire expressed his strong support for the development of the Koné project in a press conference held on May 2, 2024
ABIDJAN, Côte d'Ivoire, May 9, 2024 /PRNewswire/ - Montage Gold Corp. ("Montage" or the "Company") (TSXV: MAU) (OTCQX: MAUTF) is pleased to announce that it has received a signed Ministerial Order from the Ministry of the Environment, Sustainable Development and Ecological Transition of Côte d'Ivoire (the "MoE") granting the environmental approvals necessary for the development of its Koné project (the "Environmental Permit").
In addition, Montage has submitted the mining permit applications for the Koné project and anticipates receiving all necessary approvals during H2-2024.
ANDE is the environmental division of the MoE and is responsible for monitoring the compliance of projects and activities with environmental standards.
With the Environmental Permit received, Montage has lodged its mining permit applications ("MPA") with the Direction Générale des Mines et de la Géologie ("DGMG") and expects to receive all necessary permits and approvals for the construction of the Koné project during H2-2024.

How Businesses Are Adapting to the Rapid Expansion of Artificial Intelligence

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Jeudi, mai 2, 2024

VANCOUVER, BC, May 2, 2024 /PRNewswire/ -- USA News Group News Commentary – According to the International Monetary Fund (IMF), the integration of artificial intelligence (AI) will affect almost 40% of jobs around the world. While still early in the AI revolution, experts are stepping forward to help businesses across a wide variety of industries to embrace it. Analysts at Statista are projecting the Global AI Market will surpass $1.75 trillion by 2030. Now CIOs across multiple sectors are eager to scale their companies' AI despite current difficulty demonstrating ROI, according to a new survey. Helping to get companies swiftly, safely, and economically on board with AI are a wide variety of tech companies moving things forward with recent developments this past week, including: Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF), NVIDIA Corporation (NASDAQ: NVDA), Snowflake Inc. (NYSE: SNOW), CrowdStrike Holdings, Inc. (NASDAQ: CRWD), and Baidu, Inc. (NASDAQ: BIDU).

Key Points:

While still early in the AI revolution, experts are stepping forward to help businesses across a wide variety of industries to embrace it.
Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF) (FSE: VN8) ("Scope" or the "Company") today provided an update on new developments of Scope's artificial intelligence driven recognition technology called GEM (General Enterprise Machine Learning) system.
● Broad based one tool solution for businesses to develop their own artificial intelligence object detection and visual information system.
Businesses of any size can easily onboard and start using the intuitive web-interface to build custom solutions for their respective businesses.

How Businesses Are Adapting to the Rapid Expansion of Artificial Intelligence

Retrieved on:

Jeudi, mai 2, 2024

VANCOUVER, BC, May 2, 2024 /PRNewswire/ -- USA News Group News Commentary – According to the International Monetary Fund (IMF), the integration of artificial intelligence (AI) will affect almost 40% of jobs around the world. While still early in the AI revolution, experts are stepping forward to help businesses across a wide variety of industries to embrace it. Analysts at Statista are projecting the Global AI Market will surpass $1.75 trillion by 2030. Now CIOs across multiple sectors are eager to scale their companies' AI despite current difficulty demonstrating ROI, according to a new survey. Helping to get companies swiftly, safely, and economically on board with AI are a wide variety of tech companies moving things forward with recent developments this past week, including: Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF), NVIDIA Corporation (NASDAQ: NVDA), Snowflake Inc. (NYSE: SNOW), CrowdStrike Holdings, Inc. (NASDAQ: CRWD), and Baidu, Inc. (NASDAQ: BIDU).

Key Points:

While still early in the AI revolution, experts are stepping forward to help businesses across a wide variety of industries to embrace it.
Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF) (FSE: VN8) ("Scope" or the "Company") today provided an update on new developments of Scope's artificial intelligence driven recognition technology called GEM (General Enterprise Machine Learning) system.
● Broad based one tool solution for businesses to develop their own artificial intelligence object detection and visual information system.
Businesses of any size can easily onboard and start using the intuitive web-interface to build custom solutions for their respective businesses.

Exabits and MyShell's Breakthrough: From Billions to $100K in LLM Training Costs

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Vendredi, avril 12, 2024

Parity, H100, LLM, Machine learning, Research, Intelligence, A100, Here, GPU, Graphics processing unit, Moe, Architecture, Video game

The efficiency of JetMoE-8B, with its 2.2 billion activation parameters, significantly lowered training costs while delivering robust performance.

Key Points:

The efficiency of JetMoE-8B, with its 2.2 billion activation parameters, significantly lowered training costs while delivering robust performance.
But what superpowers this architectural sophistication is Exabits' contribution of an accelerated and stabilized cluster of 12 H100 GPU nodes (96 GPUs).
Exabits has disproved the skepticism that decentralized GPU platforms are unsuitable for LLM training.
Exabits is not just a technological platform; it is a beacon for the future of LLM training, embodying affordability, accessibility, and environmental consciousness.

Snowflake Launches Arctic: The Most Open, Enterprise-Grade Large Language Model

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Mercredi, avril 24, 2024

Snowflake (NYSE: SNOW), the Data Cloud company, today announced Snowflake Arctic, a state-of-the-art large language model (LLM) uniquely designed to be the most open, enterprise-grade LLM on the market.

Key Points:

Snowflake (NYSE: SNOW), the Data Cloud company, today announced Snowflake Arctic, a state-of-the-art large language model (LLM) uniquely designed to be the most open, enterprise-grade LLM on the market.
The Snowflake Arctic LLM is a part of the Snowflake Arctic model family, a family of models built by Snowflake that also include the best practical text-embedding models for retrieval use cases.
View the full release here: https://www.businesswire.com/news/home/20240424761970/en/
Snowflake Arctic adds truly open large language model with unmatched intelligence and efficiency to the Snowflake Arctic model family (Graphic: Business Wire)
“This is a watershed moment for Snowflake, with our AI research team innovating at the forefront of AI,” said Sridhar Ramaswamy, CEO, Snowflake.
Now with the launch of Arctic, Snowflake is delivering a powerful, truly open model with an Apache 2.0 license that permits ungated personal, research, and commercial use.

Unveiling Jamba: AI21's Groundbreaking Hybrid SSM-Transformer Open-Source Model

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Jeudi, mars 28, 2024

GPU, Memory, SSM, Blog, AI, LLM, Catalog, NIM, Moe, API, Dagan, NVIDIA, TEL

TEL AVIV, Israel, March 28, 2024 /PRNewswire/ -- AI21, the leader in AI systems for the enterprise, today unveiled Jamba, the world's first production-grade Mamba-style model – integrating Mamba Structured State Space model (SSM) technology with elements of traditional Transformer architecture.

Key Points:

Jamba marks a significant advancement in large language model (LLM) development, offering unparalleled efficiency, throughput, and performance.
Jamba revolutionizes the landscape of LLMs by addressing the limitations of pure SSM models and traditional Transformer architectures.
Jamba features a hybrid architecture that integrates Transformer, Mamba, and mixture-of-experts (MoE) layers, optimizing memory, throughput, and performance simultaneously.
"We are excited to introduce Jamba, a groundbreaking hybrid architecture that combines the best of Mamba and Transformer technologies," said Or Dagan, VP of Product, at AI21.

Databricks Launches DBRX, A New Standard for Efficient Open Source Models

Retrieved on:

Mercredi, mars 27, 2024

SAN FRANCISCO, March 27, 2024 /PRNewswire/ -- Databricks, the Data and AI company, today announced the launch of DBRX, a general purpose large language model (LLM) that outperforms all established open source models on standard benchmarks. DBRX democratizes the training and tuning of custom, high-performing LLMs for every enterprise so they no longer need to rely on a small handful of closed models. Available today, DBRX enables organizations around the world to cost-effectively build, train, and serve their own custom LLMs.

Key Points:

"We're excited about DBRX for three key reasons: first, it beats open source models on state-of-the-art industry benchmarks.
Second, it beats GPT-3.5 on most benchmarks, which should accelerate the trend we're seeing across our customer base as organizations replace proprietary models with open source models.
DBRX sets a new standard for open source models, enabling customizable and transparent generative AI for all enterprises.
A recent survey from Andreessen Horowitz found that nearly 60 percent of AI leaders are interested in increasing open source usage or switching when fine-tuned open source models roughly match performance of closed source models.

Databricks Launches DBRX, A New Standard for Efficient Open Source Models

Retrieved on:

Mercredi, mars 27, 2024

SAN FRANCISCO, March 27, 2024 /PRNewswire/ -- Databricks, the Data and AI company, today announced the launch of DBRX, a general purpose large language model (LLM) that outperforms all established open source models on standard benchmarks. DBRX democratizes the training and tuning of custom, high-performing LLMs for every enterprise so they no longer need to rely on a small handful of closed models. Available today, DBRX enables organizations around the world to cost-effectively build, train, and serve their own custom LLMs.

Key Points:

"We're excited about DBRX for three key reasons: first, it beats open source models on state-of-the-art industry benchmarks.
Second, it beats GPT-3.5 on most benchmarks, which should accelerate the trend we're seeing across our customer base as organizations replace proprietary models with open source models.
DBRX sets a new standard for open source models, enabling customizable and transparent generative AI for all enterprises.
A recent survey from Andreessen Horowitz found that nearly 60 percent of AI leaders are interested in increasing open source usage or switching when fine-tuned open source models roughly match performance of closed source models.