In this week’s real-time analytics news: The entry of DeepSeek-R1 resulted in a number of related announcements.
Keeping pace with news and developments in the real-time analytics and AI market can be a daunting task. Fortunately, we have you covered with a summary of the items our staff comes across each week. And if you prefer it in your inbox, sign up here!
DeepSeek-R1 burst onto the scene this week, topping the Apple App Store downloads on Monday and sending shockwaves throughout the industry. Some have called its release a Sputnik moment for AI. The big issue with the open-source AI assistant is that it achieves its results using less advanced (and lower cost) chips than rival LLMs. That sent the stock of major processor vendors and the tech sector, in general, tumbling down.
Read more about the launch: DeepSeek Explodes on the Scene
NVIDIA announced that to help developers securely experiment with DeepSeek-R1’s capabilities and build their own specialized agents, the 671-billion-parameter DeepSeek-R1 model is now available as an NVIDIA NIM microservice preview on build.nvidia.com. The DeepSeek-R1 NIM microservice can deliver up to 3,872 tokens per second on a single NVIDIA HGX H200 system.
Developers can test and experiment with the application programming interface (API), which is expected to be available soon as a downloadable NIM microservice, part of the NVIDIA AI Enterprise software platform.
Amazon Web Services (AWS) announced that users can now deploy DeepSeek-R1 models in Amazon Bedrock and Amazon SageMaker AI. Additionally, users can also make use of AWS Trainium and AWS Inferentia to deploy DeepSeek-R1-Distill models cost-effectively via Amazon Elastic Compute Cloud (Amazon EC2) or Amazon SageMaker AI.
AWS noted that users can use DeepSeek-R1 models to build, experiment, and responsibly scale generative AI ideas with minimal infrastructure investment. They can also confidently drive their generative AI innovation by building on AWS services that are designed for security. AWS highly recommends integrating deployments of the DeepSeek-R1 models with Amazon Bedrock Guardrails to add a layer of protection for your generative AI applications, which can be used by both Amazon Bedrock and Amazon SageMaker AI customers.
Snowflake announced that it is bringing DeepSeek’s R1 model to Snowflake Cortex AI, its fully managed AI service that allows customers the choice and flexibility to select the best model for their specific use case. Specifically,Cortex AI brings DeepSeek’s models directly to organizations’ data, which already resides in the Snowflake platform. This ensures that customers using R1 still benefit from Snowflake’s robust security and governance guardrails without their data ever leaving Snowflake’s protected environment – and highlights the importance of a strong data platform in enabling secure AI innovation at scale.
Other real-time analytics news in brief
The Digital Twin Consortium (DTC) announced its Digital Twin Testbed initiative, an opportunity for members to showcase innovation in digital twin evolution. The initiative is a collaborative, holistic approach DTC members can use to develop, test, verify, and validate digital twin systems and advance digital-twin-enabling technologies. The initiative builds on DTC foundational guidance, encompassing technical and business aspects:
- The DTC Digital Twin Business Maturity Model, which is a dynamic maturity assessment framework aligned to digital twin lifecycle phases and Technology Readiness Levels (TRLs).
- The DTC Platform Stack Architectural Framework provides a foundational understanding of best practice concepts for C-Suite and business leaders before they dive into technology selection or development.
- The DTC Digital Twin Capabilities Periodic Table and Toolkit, an architecture and technology-agnostic requirements definition framework for organizations to design, develop, deploy, and operate digital twins based on use case capability requirements.
The Cloud Native Computing Foundation (CNCF) announced the graduation of CubeFS. CubeFS is an open-source distributed storage system that supports access protocols such as POSIX, HDFS, S3, and its own REST API. It can be used in many scenarios, including big data, AI/LLMs, container platforms, separation of storage and computing for databases and middleware, data sharing, and more. To officially graduate, the project improved its governance and code of conduct and completed a security audit. This included analyzing and creating a threat model for risk and entry points, an SLSA review of supply-chain security, and a code review for security health and vulnerabilities.
Altair and U.K.-based Cranfield University signed a memorandum of understanding (MoU) to explore and expand the use of artificial intelligence (AI), simulation, and data analytics within the aerospace and robotics industries. The organizations will also support students, researchers, and startups looking to harness the power of computational intelligence within these industries.
Arctera unveiled a new brand for its Data Compliance platform – “Arctera Insight Platform” – as it announced wide-ranging platform capabilities that improve the way organizations manage compliance, reduce risks, and prepare for audits. Designed to deliver a unified view of the customer’s complete compliance posture, the Arctera Insight Platform is powered by advanced artificial intelligence with a sleek, intuitive user experience. New features include a GenAI-powered assistant to streamline and simplify compliance tasks.
Bodo.ai released its high-performance computing (HPC) engine for Python under the Apache License. Bodo.ai addresses the challenges of processing ever-larger amounts of data with higher precision, faster speeds, and lower costs by open-sourcing its compute engine—powered by an auto-parallelizing compiler that accelerates popular packages like Pandas and Numpy and includes I/O ability to interact with Iceberg—that offers developers a powerful new tool for data processing and AI.
Cirata announced that Cirata Data Migrator has successfully passed the Amazon Web Services (AWS) Foundational Technical Review (FTR). Achieving the AWS FTR validation signifies that Cirata Data Migrator is constructed according to the AWS Well-Architected Framework, meeting essential technical requirements that guarantee a secure, efficient, and reliable cloud migration experience. As such, Cirata Data Migrator is now also offered on the AWS Marketplace along with Cirata’s Data Migration as a Service (DMaaS) solution.
Dynatrace announced extended capabilities for the observability of customers’ GenAI initiatives. These advancements provide teams with access to comprehensive insights into their AI applications to drive reliability, performance, security, and compliance. With this visibility, organizations now have clarity into their AI initiatives and can understand their return on investment (ROI). Dynatrace is enabling its enterprise customers to achieve this through a series of platform advancements, including enhanced LLM model analytics, LLM input and output guardrails, multi-model tracing, and responsible AI integrations.
Exafluence announced the launch of ExfDigital Studio, a comprehensive GenAI-powered hub that offers a suite of pre-built apps. Tailored to meet the diverse data and analytics needs of enterprises, the hub offers a variety of solutions that address challenges related to data harmonization, data quality, data-driven decision-making, and unstructured data intelligence for different industries. Ultimately, this will empower decision-makers to make informed, data-driven decisions and improve efficiencies.
Genpact unveiled the Genpact AI Gigafactory, an AI accelerator designed to help enterprises rapidly scale AI solutions from pilot to full-scale production. The solution addresses the growing demand for enterprise-wide AI adoption while tackling critical governance challenges in an era of agentic advancement. The Genpact AI Gigafactory touts the ability to enable scalable AI solutions and a responsible AI-first approach to ensure responsible, safe, and ethical use of data and AI by design.
Instabug announced the launch of AI Visual Issues. The feature harnesses advanced AI and vision AI models to analyze user session screenshots, automatically detecting UI inconsistencies and errors in mobile applications. Providing automated detection of visual UI issues at scale, AI Visual Issues eliminates the manual labor involved in spotting UI discrepancies, capturing the subtle visual inconsistencies often missed by manual reviews.
KIOXIA announced the open-source release of its new All-in-Storage ANNS with Product Quantization (AiSAQ) technology. An “approximate nearest neighbor” search (ANNS) algorithm optimized for SSDs, KIOXIA AiSAQ software delivers scalable performance for retrieval-augmented generation (RAG) without placing index data in DRAM and instead searching directly on SSDs. As a result, KIOXIA AiSAQ technology provides a scalable and efficient ANNS solution for billion-scale datasets with negligible memory usage and fast index-switching capabilities.
Kurrent announced the availability of public internet access on its managed service, Kurrent Cloud. By eliminating the need for private networking infrastructure, public internet access reduces setup costs and operational overhead. Kurrent Cloud now also includes a suite of Connectors — for Apache Kafka, MongoDB, RabbitMQ, HTTP (webhook), and more — that enable seamless data integration and streamline workflows.
Leaseweb Global announced an expansion of its processing solutions with the addition of NVIDIA L4, L40S, and H100 NVL GPUs to its infrastructure portfolio. By offering powerful new NVIDIA GPUs at scale, Leaseweb is meeting the compute needs of a wide variety of sectors, including Artificial Intelligence. The expanded GPU offering supports customers with a scalable, efficient deployment framework optimized for high-performance computing (HPC), ranging from AI model training and video analytics to graphics processing.
OutSystems announced the general availability (GA) of Mentor on OutSystems Developer Cloud (ODC). The solution combines the power of low-code and GenAI to aid in software development. Specifically, Mentor, a form of AI digital worker, supports AI-powered low-code by generating an application from a simple prompt or requirements document and automating the software development lifecycle (SDLC), including iteration and validation of existing applications.
Perforce Software announced the launch of AI Validation, a new capability within its Perfecto continuous testing platform for web and mobile applications. AI Validation uses advanced artificial intelligence to validate applications visually and contextually and dynamically adapts to application changes without human intervention. Designed to address the increasing complexity of modern applications, this empowers teams to deliver software faster while maintaining the highest levels of quality.
Rocket Software announced Rocket DataEdge, its structured data suite for hybrid cloud data integration. The solution bridges the gap between core transactional applications, distributed systems, and cloud environments, providing seamless data discovery, integration, and management. The company claims that because data is the foundation of corporate growth strategies, this suite enables organizations to capture the full value of data in AI and analytics initiatives.
ServiceNow announced a new integration with Oracle to enhance ServiceNow Workflow Data Fabric capabilities. Zero-copy data sharing and bi-directional data exchange will connect data in real-time between Oracle Autonomous Database with its fully automated threat detection and remediation capabilities, Oracle Database 23ai, and the ServiceNow platform, fueling intelligent decision-making and operational efficiency at scale.
Snowflake announced that SnowConvert, its high-fidelity code conversion solution to accelerate data warehouse migration projects, is now available for download for customers and partners — free of charge. Snowflake and many of its system integrator (SI) partners have leveraged SnowConvert to accelerate hundreds of migration projects. SnowConvert can automate more than 96% of the code and object conversion process, as demonstrated by the many migration projects executed over the years, making it a proven solution for migrations from Oracle, SQL Server, and Teradata. The company also announced expanded support for code conversions from Amazon Redshift to Snowflake.
Trillo announced the general availability of its advanced AI-powered pipeline designed (also known as Intelligent Document Processing, IDP) to process and enable complex documents for generative AI applications. Trillo’s pipeline combines advanced natural language processing (NLP), machine learning, and automation to address challenges in document-heavy industries. These capabilities are now available as part of the Trillo Doc AI product, which runs seamlessly on Google Cloud, offering enterprise scalability, security, and performance.
Qlik announced the launch of its Data Flow capabilities within Qlik Cloud Analytics. Designed to address the time-intensive challenges of preparing datasets for analytics and AI, this new feature allows users to visually combine, clean, and shape data through an intuitive drag-and-drop interface. By reducing the reliance on technical scripting skills, these no-code data prep capabilities enable a broader range of users—both technical and non-technical—to create high-quality, AI-ready datasets quickly and efficiently.
Yugabyte announced YugabyteDB 2.25, the latest version of its open-source, high-performance distributed SQL database, which now boasts complete compatibility with PostgreSQL 15 and a wealth of new features. This significant milestone, currently available as a tech preview, reinforces Yugabyte’s commitment to the popular PostgreSQL database and provides customers with the freedom to safely upgrade or downgrade to the major PostgreSQL version most compatible with their data infrastructure.
If your company has real-time analytics news, send your announcements to [email protected].
In case you missed it, here are our most recent previous weekly real-time analytics news roundups:
- Real-time Analytics News for the Week Ending January 25
- Real-time Analytics News for the Week Ending January 18
- Real-time Analytics News for the Week Ending January 11
- Real-time Analytics News for the Week Ending December 21
- Real-time Analytics News for the Week Ending December 14
- Real-time Analytics News for the Week Ending December 7
- Real-time Analytics News for the Week Ending November 23
- Real-time Analytics News for the Week Ending November 16
- Real-time Analytics News for the Week Ending November 9
- Real-time Analytics News for the Week Ending November 2