Annapurna Labs

AI Semiconductors Data, New Service by Liftr Insights

Retrieved on: 
Tuesday, February 6, 2024

AUSTIN, Texas, Feb. 6, 2024 /PRNewswire/ -- Liftr Insights, a pioneer in market intelligence driven by unique data, launched its Liftr® Intelligence Compute TrackerSM data service.

Key Points: 
  • Liftr data introduces a new data service for market intelligence about AI Training and AI Inference semiconductors.
  • AUSTIN, Texas, Feb. 6, 2024 /PRNewswire/ -- Liftr Insights, a pioneer in market intelligence driven by unique data, launched its Liftr® Intelligence Compute TrackerSM data service.
  • Today, Liftr announced the Liftr Intelligence Compute Tracker to be hyper-focused on hyperscale AI for market intelligence analysts.
  • "Among all the hype and speculation, Liftr data—especially our Intelligence Compute Tracker data—provides objective insights into AI activity," says Tab Schadt, CEO of Liftr Insights.

AWS Announces Five New Amazon SageMaker Capabilities for Scaling with Models

Retrieved on: 
Wednesday, November 29, 2023

At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced five new capabilities within Amazon SageMaker to help accelerate building, training, and deployment of large language models and other foundation models.

Key Points: 
  • At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced five new capabilities within Amazon SageMaker to help accelerate building, training, and deployment of large language models and other foundation models.
  • Today’s announcements include a new capability that further enhances SageMaker for scaling with models by accelerating model training time.
  • Today, SageMaker is adding two new capabilities that help ease the burdens of training and deploying models at scale.
  • Earlier this year, SageMaker Canvas made it possible for customers to access multiple models on Amazon Bedrock, including models from AI21 Labs, Anthropic, and Amazon, along with models from MosaicML and TII and through SageMaker Jumpstart.

Salesforce and AWS Expand Partnership for Customers to More Easily Build Trusted AI Apps, Deliver Seamless CRM Experiences, and Bring Salesforce Products to AWS Marketplace

Retrieved on: 
Monday, November 27, 2023

In addition, Salesforce Data Cloud will expand to support data sharing across additional AWS technologies.

Key Points: 
  • In addition, Salesforce Data Cloud will expand to support data sharing across additional AWS technologies.
  • AWS will also expand its use of Salesforce products such as Salesforce Data Cloud.
  • Data Cloud will allow AWS to create a single unified customer profile allowing them to deliver more personalized experiences to customers.
  • Joint customers in the U.S. may now purchase select Salesforce products through AWS Marketplace, with expanded product and regional support planned for 2024.

Starburst Expands Support for Building Interactive Applications on the Data Lake

Retrieved on: 
Tuesday, November 28, 2023

BOSTON, Nov. 28, 2023 /PRNewswire/ -- Starburst, the data lake analytics platform, today at AWS re:Invent 2023 announced new capabilities that enable organizations to build and scale game-changing data applications without compromising on performance or cost. With the increasing interest in building artificial intelligence (AI)-driven data applications, customers need to establish a solid data platform. New features in Starburst Galaxy help customers simplify development on the data lake by unifying data ingestion, data governance, and data sharing on a single platform.

Key Points: 
  • With the increasing interest in building artificial intelligence (AI)-driven data applications, customers need to establish a solid data platform.
  • New features in Starburst Galaxy help customers simplify development on the data lake by unifying data ingestion, data governance, and data sharing on a single platform.
  • Interactive applications oftentimes require the scalability and cost-efficiency of a data lake, but building and maintaining that data lake is complex and time-consuming for data teams.
  • Automated data maintenance: New automations make it easy for customers to optimize their data lake by abstracting away common management tasks like data compaction and data vacuuming.

Starburst Expands Support for Building Interactive Applications on the Data Lake

Retrieved on: 
Tuesday, November 28, 2023

BOSTON, Nov. 28, 2023 /PRNewswire/ -- Starburst, the data lake analytics platform, today at AWS re:Invent 2023 announced new capabilities that enable organizations to build and scale game-changing data applications without compromising on performance or cost. With the increasing interest in building artificial intelligence (AI)-driven data applications, customers need to establish a solid data platform. New features in Starburst Galaxy help customers simplify development on the data lake by unifying data ingestion, data governance, and data sharing on a single platform.

Key Points: 
  • With the increasing interest in building artificial intelligence (AI)-driven data applications, customers need to establish a solid data platform.
  • New features in Starburst Galaxy help customers simplify development on the data lake by unifying data ingestion, data governance, and data sharing on a single platform.
  • Interactive applications oftentimes require the scalability and cost-efficiency of a data lake, but building and maintaining that data lake is complex and time-consuming for data teams.
  • Automated data maintenance: New automations make it easy for customers to optimize their data lake by abstracting away common management tasks like data compaction and data vacuuming.

AWS Announces Amazon EC2 Capacity Blocks for ML Workloads

Retrieved on: 
Tuesday, October 31, 2023

Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), today announced the general availability of Amazon Elastic Compute Cloud (EC2) Capacity Blocks for ML, an industry-first consumption model that enables any customer to access highly sought-after GPU compute capacity to run their short duration machine learning (ML) workloads.

Key Points: 
  • Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), today announced the general availability of Amazon Elastic Compute Cloud (EC2) Capacity Blocks for ML, an industry-first consumption model that enables any customer to access highly sought-after GPU compute capacity to run their short duration machine learning (ML) workloads.
  • With EC2 Capacity Blocks, customers can reserve hundreds of NVIDIA GPUs colocated in Amazon EC2 UltraClusters designed for high-performance ML workloads.
  • EC2 Capacity Blocks help ensure customers have reliable, predictable, and uninterrupted access to the GPU compute capacity required for their critical ML projects.
  • With EC2 Capacity Blocks, customers can reserve the amount of GPU capacity they need for short durations to run their ML workloads, eliminating the need to hold onto GPU capacity when not in use.

Amazon and Anthropic Announce Strategic Collaboration to Advance Generative AI

Retrieved on: 
Monday, September 25, 2023

Anthropic plans to run the majority of its workloads on AWS, further providing Anthropic with the advanced technology of the world’s leading cloud provider.

Key Points: 
  • Anthropic plans to run the majority of its workloads on AWS, further providing Anthropic with the advanced technology of the world’s leading cloud provider.
  • Amazon developers and engineers will be able to build with Anthropic models via Amazon Bedrock so they can incorporate generative AI capabilities into their work, enhance existing applications, and create net-new customer experiences across Amazon’s businesses.
  • Today’s news is the latest AWS generative AI announcement as the company continues to expand its unique offering at all three layers of the generative AI stack.
  • These commitments are a continuation of work that both Amazon and Anthropic have been doing to support the safety, security, and responsible development and deployment of AI and will continue through this expanded collaboration.

Zixi Joins AWS Graviton Service Delivery Program

Retrieved on: 
Tuesday, August 29, 2023

WALTHAM, Mass., Aug. 29, 2023 /PRNewswire/ -- Zixi, the industry leader for enabling cost-efficient and highly scalable live broadcast-quality video over any IP network or protocol and provider of the award-winning Software-Defined Video Platform (SDVP®), today announced that the company has achieved the Amazon Web Services (AWS) Service Delivery designation for AWS Graviton, recognizing that Zixi provides deep technical knowledge, experience, and proven success delivering the SDVP on AWS Graviton-based Amazon Elastic Compute Cloud (Amazon EC2) instances and deployed support for AWS Graviton2 and AWS Graviton3. This designation validates that Zixi's capabilities in cloud architecture, engineering and cloud native application development on AWS are helping customers accelerate and scale their adoption of AWS Graviton to realize the price performance benefits sooner across more workloads.

Key Points: 
  • WALTHAM, Mass., Aug. 29, 2023 /PRNewswire/ -- Zixi , the industry leader for enabling cost-efficient and highly scalable live broadcast-quality video over any IP network or protocol and provider of the award-winning Software-Defined Video Platform (SDVP®), today announced that the company has achieved the Amazon Web Services (AWS) Service Delivery designation for AWS Graviton, recognizing that Zixi provides deep technical knowledge, experience, and proven success delivering the SDVP on AWS Graviton-based Amazon Elastic Compute Cloud (Amazon EC2) instances and deployed support for AWS Graviton2 and AWS Graviton3.
  • AWS Graviton processors are custom ARM-based processors built by AWS to deliver the best price performance for your cloud workloads running in Amazon EC2.
  • "The SDVP helps many complex media workloads on AWS Graviton processors to run more efficiently and with better performance," said Tim Baldwin, VP Product, Zixi.
  • "The underlying architecture of AWS Graviton processors is transparent to users who can now seamlessly deploy their applications on AWS Graviton instances for higher throughput and cost efficiencies without a degradation in feature offering from x86-based instances."

Zixi Joins AWS Graviton Service Delivery Program

Retrieved on: 
Tuesday, August 29, 2023

WALTHAM, Mass., Aug. 29, 2023 /PRNewswire/ -- Zixi, the industry leader for enabling cost-efficient and highly scalable live broadcast-quality video over any IP network or protocol and provider of the award-winning Software-Defined Video Platform (SDVP®), today announced that the company has achieved the Amazon Web Services (AWS) Service Delivery designation for AWS Graviton, recognizing that Zixi provides deep technical knowledge, experience, and proven success delivering the SDVP on AWS Graviton-based Amazon Elastic Compute Cloud (Amazon EC2) instances and deployed support for AWS Graviton2 and AWS Graviton3. This designation validates that Zixi's capabilities in cloud architecture, engineering and cloud native application development on AWS are helping customers accelerate and scale their adoption of AWS Graviton to realize the price performance benefits sooner across more workloads.

Key Points: 
  • WALTHAM, Mass., Aug. 29, 2023 /PRNewswire/ -- Zixi , the industry leader for enabling cost-efficient and highly scalable live broadcast-quality video over any IP network or protocol and provider of the award-winning Software-Defined Video Platform (SDVP®), today announced that the company has achieved the Amazon Web Services (AWS) Service Delivery designation for AWS Graviton, recognizing that Zixi provides deep technical knowledge, experience, and proven success delivering the SDVP on AWS Graviton-based Amazon Elastic Compute Cloud (Amazon EC2) instances and deployed support for AWS Graviton2 and AWS Graviton3.
  • AWS Graviton processors are custom ARM-based processors built by AWS to deliver the best price performance for your cloud workloads running in Amazon EC2.
  • "The SDVP helps many complex media workloads on AWS Graviton processors to run more efficiently and with better performance," said Tim Baldwin, VP Product, Zixi.
  • "The underlying architecture of AWS Graviton processors is transparent to users who can now seamlessly deploy their applications on AWS Graviton instances for higher throughput and cost efficiencies without a degradation in feature offering from x86-based instances."

HCLTech Collaborates With AWS to Accelerate GenAI Adoption

Retrieved on: 
Wednesday, August 23, 2023

HCLTech , a leading global technology company, announced a collaboration with Amazon Web Services (AWS) to accelerate the adoption of generative artificial intelligence (GenAI) at the company and by enterprises globally.

Key Points: 
  • HCLTech , a leading global technology company, announced a collaboration with Amazon Web Services (AWS) to accelerate the adoption of generative artificial intelligence (GenAI) at the company and by enterprises globally.
  • The collaboration aims to empower enterprises to harness the power of AWS’s advanced GenAI portfolio that includes Amazon CodeWhisperer, Amazon Bedrock, Amazon Titan, AWS Trainium and AWS Inferentia.
  • “GenAI is a powerful technology that has the potential to revolutionize industries,” said Prabhakar Appana, Senior Vice President and Head of AWS Ecosystem Business Unit, HCLTech.
  • Leveraging strategic partnerships with AWS and many others, HCLTech is paving the way for the adoption of GenAI across industries.