Alternatives to Metal

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

Google AI Studio is a user-friendly, web-based workspace that offers a streamlined environment for exploring and applying cutting-edge AI technology. It acts as a powerful launchpad for diving into the latest developments in AI, making complex processes more accessible to developers of all levels. The platform provides seamless access to Google's advanced Gemini AI models, creating an ideal space for collaboration and experimentation in building next-gen applications. With tools designed for efficient prompt crafting and model interaction, developers can quickly iterate and incorporate complex AI capabilities into their projects. The flexibility of the platform allows developers to explore a wide range of use cases and AI solutions without being constrained by technical limitations. Google AI Studio goes beyond basic testing by enabling a deeper understanding of model behavior, allowing users to fine-tune and enhance AI performance. This comprehensive platform unlocks the full potential of AI, facilitating innovation and improving efficiency in various fields by lowering the barriers to AI development. By removing complexities, it helps users focus on building impactful solutions faster.

MongoDB Atlas stands out as the leading cloud database service available, offering unparalleled data distribution and seamless mobility across all major platforms, including AWS, Azure, and Google Cloud. Its built-in automation tools enhance resource management and workload optimization, making it the go-to choice for modern application deployment. As a fully managed service, it ensures best-in-class automation and adheres to established practices that support high availability, scalability, and compliance with stringent data security and privacy regulations. Furthermore, MongoDB Atlas provides robust security controls tailored for your data needs, allowing for the integration of enterprise-grade features that align with existing security protocols and compliance measures. With preconfigured elements for authentication, authorization, and encryption, you can rest assured that your data remains secure and protected at all times. Ultimately, MongoDB Atlas not only simplifies deployment and scaling in the cloud but also fortifies your data with comprehensive security features that adapt to evolving requirements.

RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.

Achieve exceptional response quality through a vector database specifically designed for advanced retrieval augmented generation (RAG) and contemporary search functionalities. Emphasize substantial growth with a robust, enterprise-ready vector database that inherently includes security, compliance, and ethical AI methodologies. Create superior applications utilizing advanced retrieval techniques that are underpinned by years of research and proven customer success. Effortlessly launch your generative AI application with integrated platforms and data sources, including seamless connections to AI models and frameworks. Facilitate the automatic data upload from an extensive array of compatible Azure and third-party sources. Enhance vector data processing with comprehensive features for extraction, chunking, enrichment, and vectorization, all streamlined in a single workflow. Offer support for diverse vector types, hybrid models, multilingual capabilities, and metadata filtering. Go beyond simple vector searches by incorporating keyword match scoring, reranking, geospatial search capabilities, and autocomplete features. This holistic approach ensures that your applications can meet a wide range of user needs and adapt to evolving demands.

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

While generative AI is a relatively recent development, our efforts over the last five years have paved the way for this moment. Deep Lake merges the strengths of data lakes and vector databases to craft and enhance enterprise-level solutions powered by large language models, allowing for continual refinement. However, vector search alone does not address retrieval challenges; a serverless query system is necessary for handling multi-modal data that includes embeddings and metadata. You can perform filtering, searching, and much more from either the cloud or your local machine. This platform enables you to visualize and comprehend your data alongside its embeddings, while also allowing you to monitor and compare different versions over time to enhance both your dataset and model. Successful enterprises are not solely reliant on OpenAI APIs, as it is essential to fine-tune your large language models using your own data. Streamlining data efficiently from remote storage to GPUs during model training is crucial. Additionally, Deep Lake datasets can be visualized directly in your web browser or within a Jupyter Notebook interface. You can quickly access various versions of your data, create new datasets through on-the-fly queries, and seamlessly stream them into frameworks like PyTorch or TensorFlow, thus enriching your data processing capabilities. This ensures that users have the flexibility and tools needed to optimize their AI-driven projects effectively.

Amazon SageMaker is a comprehensive machine learning platform that integrates powerful tools for model building, training, and deployment in one cohesive environment. It combines data processing, AI model development, and collaboration features, allowing teams to streamline the development of custom AI applications. With SageMaker, users can easily access data stored across Amazon S3 data lakes and Amazon Redshift data warehouses, facilitating faster insights and AI model development. It also supports generative AI use cases, enabling users to develop and scale applications with cutting-edge AI technologies. The platform’s governance and security features ensure that data and models are handled with precision and compliance throughout the entire ML lifecycle. Furthermore, SageMaker provides a unified development studio for real-time collaboration, speeding up data discovery and model deployment.

BilberryDB is a robust vector-database solution tailored for enterprises, aimed at facilitating the development of AI applications that can manage various types of multimodal data, such as images, video, audio, 3D models, tabular data, and text, all within a single unified framework. It delivers rapid similarity search and retrieval through the use of embeddings, supports few-shot or no-code workflows that empower users to establish effective search and classification functionalities without the necessity for extensive labeled datasets, and provides a developer SDK, including TypeScript, alongside a visual builder to assist non-technical users. The platform prioritizes quick query responses in under a second, enabling the effortless integration of different data types and the swift launch of apps enhanced with vector-search capabilities ("Deploy as an App"), allowing organizations to develop AI-powered systems for search, recommendations, classification, or content discovery without the need to construct their own infrastructure from the ground up. Furthermore, its comprehensive features make it an ideal choice for companies looking to leverage AI technology efficiently and effectively.

Mixedbread is an advanced AI search engine that simplifies the creation of robust AI search and Retrieval-Augmented Generation (RAG) applications for users. It delivers a comprehensive AI search solution, featuring vector storage, models for embedding and reranking, as well as tools for document parsing. With Mixedbread, users can effortlessly convert unstructured data into smart search functionalities that enhance AI agents, chatbots, and knowledge management systems, all while minimizing complexity. The platform seamlessly integrates with popular services such as Google Drive, SharePoint, Notion, and Slack. Its vector storage capabilities allow users to establish operational search engines in just minutes and support a diverse range of over 100 languages. Mixedbread's embedding and reranking models have garnered more than 50 million downloads, demonstrating superior performance to OpenAI in both semantic search and RAG applications, all while being open-source and economically viable. Additionally, the document parser efficiently extracts text, tables, and layouts from a variety of formats, including PDFs and images, yielding clean, AI-compatible content that requires no manual intervention. This makes Mixedbread an ideal choice for those seeking to harness the power of AI in their search applications.

MetalTrace® stands out as the leading database for Mill Test Reports and Material Test Reports in the metals sector, alongside being the top software and search engine for MTR documentation. It seamlessly integrates with various ERP systems like SAP, Oracle, JD Edwards, Navision, AIMS, Infor SX, Trend, BPCS, and Sage, significantly reducing both time and expenses. As the benchmark for managing quality assurance documents, MetalTrace® is a robust and scalable system that can be tailored to monitor quality assurance documentation specific to the metals industry. Developed by a MetalSmart™ company with extensive knowledge in the metals field, MetalTrace® caters to a wide range of businesses, from Mills to End Users, including Service Centers, Distributors, and Fabricators, thanks to its inherent flexibility for customization. Furthermore, MetalTrace® guarantees complete traceability for all documentation, encompassing Mill Test Reports, Material Test Reports, MTR, Welder Certifications, Certificates of Compliance, Travel Sheets, Drawings, and more, ensuring that every piece of information is easily accessible and organized. This comprehensive system not only enhances operational efficiency but also instills confidence in the quality management processes for its users.

The future of artificial intelligence hinges on unstructured data. Embrace this potential now by creating a scalable ML/AI pipeline that consolidates all your unstructured data within a single platform. By leveraging superior data, you can develop enhanced models, exclusively with Graviti. Discover a data platform tailored for AI practitioners, equipped with management capabilities, query functionality, and version control specifically designed for handling unstructured data. Achieving high-quality data is no longer an unattainable aspiration. Centralize your metadata, annotations, and predictions effortlessly. Tailor filters and visualize the results to quickly access the data that aligns with your requirements. Employ a Git-like framework for version management and facilitate collaboration among your team members. With role-based access control and clear visual representations of version changes, your team can collaborate efficiently and securely. Streamline your data pipeline using Graviti’s integrated marketplace and workflow builder, allowing you to enhance model iterations without the tedious effort. This innovative approach not only saves time but also empowers teams to focus on creativity and problem-solving.

Integrate semantic relevance alongside user feedback to effectively extract the best document segments in your retrieval-augmented generation framework. Additionally, merge semantic relevance with document recency in your search engine, as newer content is often more precise. Create a dynamic, personalized e-commerce product feed that utilizes user vectors derived from SKU embeddings that the user has engaged with. Analyze and identify behavioral clusters among your customers through a vector index housed in your data warehouse. Methodically outline and load your data, utilize spaces to build your indices, and execute queries—all within the confines of a Python notebook, ensuring that the entire process remains in-memory for efficiency and speed. This approach not only optimizes data retrieval but also enhances the overall user experience through tailored recommendations.

Vectorize is a specialized platform that converts unstructured data into efficiently optimized vector search indexes, enhancing retrieval-augmented generation workflows. Users can import documents or establish connections with external knowledge management systems, enabling the platform to extract natural language that is compatible with large language models. By evaluating various chunking and embedding strategies simultaneously, Vectorize provides tailored recommendations while also allowing users the flexibility to select their preferred methods. After a vector configuration is chosen, the platform implements it into a real-time pipeline that adapts to any changes in data, ensuring that search results remain precise and relevant. Vectorize features integrations with a wide range of knowledge repositories, collaboration tools, and customer relationship management systems, facilitating the smooth incorporation of data into generative AI frameworks. Moreover, it also aids in the creation and maintenance of vector indexes within chosen vector databases, further enhancing its utility for users. This comprehensive approach positions Vectorize as a valuable tool for organizations looking to leverage their data effectively for advanced AI applications.

The Technology Metals Market serves as the pioneering spot market enabling direct investment in technology metals and various associated materials, including graphene and graphite. These metals are vital for sectors like electric vehicles, aerospace, semiconductors, and other advanced industries, facing significant supply-demand pressures and being deemed essential by nations worldwide. TM2 provides a platform that connects investors directly with metal producers, allowing for direct investment with no logistics costs involved. By linking investors to issuers of metals—such as miners, refiners, recyclers, and mints—Technology Metals Market ensures that the listed metals are physically backed and insured in secure vaults globally. Often referred to as critical strategic metals, technology metals are characterized by their high supply risks, underlining their importance across various industries. This dynamic marketplace not only enhances investment opportunities but also promotes transparency and security for those looking to invest in these essential materials.

VectorDB is a compact Python library designed for the effective storage and retrieval of text by employing techniques such as chunking, embedding, and vector search. It features a user-friendly interface that simplifies the processes of saving, searching, and managing text data alongside its associated metadata, making it particularly suited for scenarios where low latency is crucial. The application of vector search and embedding techniques is vital for leveraging large language models, as they facilitate the swift and precise retrieval of pertinent information from extensive datasets. By transforming text into high-dimensional vector representations, these methods enable rapid comparisons and searches, even when handling vast numbers of documents. This capability significantly reduces the time required to identify the most relevant information compared to conventional text-based search approaches. Moreover, the use of embeddings captures the underlying semantic meaning of the text, thereby enhancing the quality of search outcomes and supporting more sophisticated tasks in natural language processing. Consequently, VectorDB stands out as a powerful tool that can greatly streamline the handling of textual information in various applications.

We offer a versatile production control software specifically for metal finishing that can also be tailored to suit various operational needs. Developed by a team rich in aerospace treatment experience, our system ensures complete Nadcap traceability from the moment a job is logged until it is shipped. You can oversee every aspect of production, from quoting to invoicing, while also generating all necessary documentation for Nadcap compliance, which encompasses job splitting and grouping, as well as the management of consumables, hazardous materials, and precious metals. Recognizing that every metal finishing operation has its unique characteristics, we not only cater to metal finishing but also adapt our software for various industries. Customers can include their specific requirements and assign them to SFDC users, enabling the monitoring of vat chemical levels effectively. The software allows you to organize and track operations, especially when items from different jobs are processed together in the same oven. Additionally, generating Certificates of Conformity is straightforward, ensuring that the plating thickness aligns with customer specifications, thereby enhancing quality assurance and customer satisfaction. Ultimately, our software is designed to improve efficiency and compliance across diverse manufacturing environments.

Klu.ai, a Generative AI Platform, simplifies the design, deployment, and optimization of AI applications. Klu integrates your Large Language Models and incorporates data from diverse sources to give your applications unique context. Klu accelerates the building of applications using language models such as Anthropic Claude (Azure OpenAI), GPT-4 (Google's GPT-4), and over 15 others. It allows rapid prompt/model experiments, data collection and user feedback and model fine tuning while cost-effectively optimising performance. Ship prompt generation, chat experiences and workflows in minutes. Klu offers SDKs for all capabilities and an API-first strategy to enable developer productivity. Klu automatically provides abstractions to common LLM/GenAI usage cases, such as: LLM connectors and vector storage, prompt templates, observability and evaluation/testing tools.

Enhance and launch AI models using Simplismart's ultra-fast inference engine. Seamlessly connect with major cloud platforms like AWS, Azure, GCP, and others for straightforward, scalable, and budget-friendly deployment options. Easily import open-source models from widely-used online repositories or utilize your personalized custom model. You can opt to utilize your own cloud resources or allow Simplismart to manage your model hosting. With Simplismart, you can go beyond just deploying AI models; you have the capability to train, deploy, and monitor any machine learning model, achieving improved inference speeds while minimizing costs. Import any dataset for quick fine-tuning of both open-source and custom models. Efficiently conduct multiple training experiments in parallel to enhance your workflow, and deploy any model on our endpoints or within your own VPC or on-premises to experience superior performance at reduced costs. The process of streamlined and user-friendly deployment is now achievable. You can also track GPU usage and monitor all your node clusters from a single dashboard, enabling you to identify any resource limitations or model inefficiencies promptly. This comprehensive approach to AI model management ensures that you can maximize your operational efficiency and effectiveness.

In the ever-evolving landscape of metal service centers, it is crucial for businesses to retain a competitive edge. The iMetal solution, tailored specifically for this industry, offers the ability to capitalize on commercial opportunities while reducing administrative and operational expenses. Our platform features capabilities in multiple languages and currencies, supports various branches, products, and processes, making it versatile for any type of metal manufacturing or distribution operation. It is designed to be scalable and can be seamlessly implemented in organizations with user counts ranging from 5 to over 700. With a strong emphasis on design, especially in the context of user experience and technological innovation, iMetal software equips metal service centers to boost sales, efficiently manage inventory, visualize production workflows, and streamline dispatch processes. Ultimately, this positions businesses to adapt and thrive in a competitive market.

Effortlessly create and oversee AI applications without transferring your data through intricate pipelines or specialized vector databases. You can seamlessly connect AI and vector search directly with your existing database, allowing for real-time inference and model training. With a single, scalable deployment of all your AI models and APIs, you will benefit from automatic updates as new data flows in without the hassle of managing an additional database or duplicating your data for vector search. SuperDuperDB facilitates vector search within your current database infrastructure. You can easily integrate and merge models from Sklearn, PyTorch, and HuggingFace alongside AI APIs like OpenAI, enabling the development of sophisticated AI applications and workflows. Moreover, all your AI models can be deployed to compute outputs (inference) directly in your datastore using straightforward Python commands, streamlining the entire process. This approach not only enhances efficiency but also reduces the complexity usually involved in managing multiple data sources.

Vishwa.ai, an AutoOps Platform for AI and ML Use Cases. It offers expert delivery, fine-tuning and monitoring of Large Language Models. Features: Expert Prompt Delivery : Tailored prompts tailored to various applications. Create LLM Apps without Coding: Create LLM workflows with our drag-and-drop UI. Advanced Fine-Tuning : Customization AI models. LLM Monitoring: Comprehensive monitoring of model performance. Integration and Security Cloud Integration: Supports Google Cloud (AWS, Azure), Azure, and Google Cloud. Secure LLM Integration - Safe connection with LLM providers Automated Observability for efficient LLM Management Managed Self Hosting: Dedicated hosting solutions. Access Control and Audits - Ensure secure and compliant operations.

The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.

Effortlessly deploy all leading machine learning frameworks like Pytorch, Onnx, and XGBoost with a single line of code. If you lack your own models, take advantage of our prebuilt options that are optimized for performance with sub-second latency. You can also fine-tune smaller models for specific tasks, which helps to reduce both costs and latency while enhancing overall performance. With just a few lines of code, you can avoid the hassle of managing infrastructure because we handle that for you. Seamlessly integrate with premier ML observability platforms to receive alerts about any feature or prediction drift, allowing for quick comparisons between model versions and prompt issue resolution. Additionally, you can identify the root causes of prediction and feature drift to tackle any decline in model performance effectively. Gain insights into which features are most influential in driving your model's performance, empowering you to make informed adjustments. This comprehensive approach ensures that your machine learning processes are both efficient and effective.

SparkCognition, an industrial AI company, has created a natural language processing solution that automates the workflows of unstructured data within companies so that humans can concentrate on high-value business decisions. DeepNLP uses machine learning to automate the retrieval, classification, and analysis of information. DeepNLP integrates with existing workflows to allow organizations to respond more quickly to changes in their businesses and get quick answers to specific queries.

Introducing your all-in-one solution for sheet metal estimating software, now available through a comprehensive subscription service. Crafted with cutting-edge technology and built on extensive sheet metal industry knowledge, Trimble® AutoBid® SheetMetal stands out as the fastest and most precise estimating software tailored for sheet metal contractors. The specification-driven takeoff feature accelerates your workflow by using specifications to automatically define item attributes. It offers seamless compatibility with numerous third-party applications, streamlining both estimating and job costing tasks. With Excel-based bid reports, you can efficiently summarize and present data. Additionally, you have the flexibility to customize construction standards to align with your company's specific regulations. Your subscription encompasses Trimble’s premier AutoBid Mechanical and AutoBid SheetMetal estimating software, along with integrated OnScreen View graphical takeoff, the Advanced Image Manager (AIM) tool, TRA-SER material and labor pricing, submittal management, and Trimble Connect collaboration tools, ensuring you have everything you need for effective project management. This powerful suite of tools not only enhances productivity but also empowers you to deliver accurate estimates with confidence.

FormingSuite® represents our flagship software solution tailored for sheet metal forming applications. Manufacturers and suppliers across the globe utilize FormingSuite to enhance the design, assess feasibility, and manage costs associated with sheet metal parts. The FASTFORM® ADVANCED module allows users to swiftly and efficiently assess both part and process feasibility while also identifying blank shapes and springback characteristics for sheet metal designs. Additionally, FASTIncremental empowers teams from various departments, including cost estimation, design, and production, to quickly evaluate the feasibility of parts and processes with ease. COSTOPTIMIZER® serves as a comprehensive tool for Cost Engineers, facilitating the creation of accurate quotes and estimates for individual piece part costs. This solution integrates the robust capabilities of FTI’s leading formability analysis, blank development, and blank nesting tools along with specialized cost management features. Lastly, FormingSuite® PROCESSPLANNER crafts a meticulous process plan for quoting based on your 3D CAD design, generating visual aids to illustrate the necessary actions for each operational step while ensuring clarity and precision in the planning process. This holistic approach enhances collaboration and improves overall efficiency in sheet metal production.

Oracle's bare metal servers offer clients a dedicated infrastructure that ensures isolation, visibility, and control. Designed to accommodate applications that demand substantial processing power, these servers can scale to an impressive 128 cores—the highest available in the market—along with 2 TB of RAM and up to 1 PB of block storage. This capability allows users to construct robust cloud environments on Oracle’s bare metal servers, achieving notable performance enhancements compared to other public cloud solutions and traditional on-premises setups. The E4 series of compute instances features the largest bare metal option in the industry, boasting 128 OCPUs and 2 TB of memory, making it suitable for a wide range of enterprise applications that can efficiently operate on a single AMD-based instance. Furthermore, bare metal servers are particularly advantageous for executing high-performance, latency-sensitive, specialized, and conventional workloads directly on dedicated hardware, similar to on-premises configurations. Ideal for situations where nonvirtualized environments are necessary, these bare metal instances can significantly optimize workload performance. Overall, the flexibility and power of Oracle's bare metal servers position them as a compelling choice for businesses looking to enhance their computational capabilities.

For applications and workloads that require exceptional computing power and dependable performance, INAP Bare Metal stands out as the ideal high-performance, single-tenant hosting option. This solution, whether custom-configured or on-demand, features dedicated CPUs powered by the latest Intel® Xeon® processors, with options for up to 1 TB of RAM, NVMe storage, and enhanced disk I/O, ensuring superior networking and control compared to virtual servers. INAP Bare Metal server hosting provides the necessary hardware, specifications, and customization required to support your most critical applications effectively. To initiate your order, select a starting point tailored to your needs. By upgrading to Managed Bare Metal, you gain access to INAP Intelligent Monitoring, which offers proactive support, transparency in service, and reliable outcomes. Your Bare Metal configuration also includes Performance IP, INAP’s route-optimized IP service that intelligently directs packets along the fastest routes to minimize latency. This solution is designed to bridge the gap between your audience and applications seamlessly, enhancing overall performance and user experience. With INAP Bare Metal, you are equipped to handle demanding workloads with confidence.

WenDuct HVAC can handle all aspects of industrial and commercial sheet metal estimating. Wendes Sheet Metal estimating systems can be modularized, providing the most advanced screen takeoff technology as well as the fastest "real-time database".

We have taken the initiative to bundle and set up all necessary components for crafting solutions and seamlessly integrating LLMs into your organizational workflows. With ConfidentialMind, you can immediately get started. It provides an endpoint for the most advanced open-source LLMs, such as Llama-2, effectively transforming it into an internal LLM API. Envision having ChatGPT operating within your personal cloud environment. This represents the utmost in security solutions available. It connects with the APIs of leading hosted LLM providers, including Azure OpenAI, AWS Bedrock, and IBM, ensuring comprehensive integration. Additionally, ConfidentialMind features a playground UI built on Streamlit, which offers a variety of LLM-driven productivity tools tailored for your organization, including writing assistants and document analysis tools. It also comes with a vector database, essential for efficiently sifting through extensive knowledge repositories containing thousands of documents. Furthermore, it empowers you to manage access to the solutions developed by your team and regulate what information the LLMs can access, enhancing data security and control. With these capabilities, you can drive innovation while ensuring compliance and safety within your business operations.

Metfin-MS is a versatile ERP solution tailored for the Metal and Surface Finishing industry. Leveraging our Integrated Business Management System, Metfin-MS equips your metal finishing operation with the essential tools to collect, organize, and swiftly retrieve crucial production and financial data. While it maintains an integrated framework, the software’s modular architecture encourages collaboration among all staff members, enabling seamless information sharing without redundancy or delays in data entry. Thanks to its adaptable structure, Metfin-MS can be set up to function on nearly any platform. The system also features daily tracking of precious metal prices, which automatically influences invoicing, as well as a method for distributing job revenue that is directly connected to general ledger accounts. Additionally, this software is designed to evolve alongside your business needs, ensuring that it remains relevant and effective as you grow.

Enhance the performance of your applications using specialized Lumen® Bare Metal servers located on edge nodes, which are engineered to achieve latency levels of 5ms or less. When dealing with high-bandwidth, real-time tasks, any form of delay can be detrimental. The Edge Bare Metal solution provides adaptable access to a wide-ranging network of robust bare metal servers, all optimized for low latency and focused on enhancing security, performance, and management capabilities. Users can select from various operating systems and deployment models to suit their needs. This combination of container solutions and bare metal servers allows for a pay-as-you-go model with the ability to easily turn services on or off. With container bin packaging, hardware utilization becomes more efficient, offering versatile configurations for servers and storage. You have the freedom to choose an operating system, server size, and pricing structure that aligns with the demanding requirements of your compute-intensive applications. Furthermore, safeguard your data with dedicated physical servers that provide secure, single-tenant environments, customizable firewall policies, and fully encrypted local storage, ensuring comprehensive security and control. This approach not only enhances performance but also allows businesses to scale their infrastructure dynamically as needed.

Leverage our platform to create AI products, train, fine-tune, and deploy models in the cloud while eliminating concerns about infrastructure, cost management, scaling, and other technical challenges. With our prebuilt, fully customizable, and modular components, you can focus on the scientific aspects rather than the engineering complexities. A Lightning component organizes your code to operate efficiently in the cloud, autonomously managing infrastructure, cloud expenses, and additional requirements. Benefit from over 50 optimizations designed to minimize cloud costs and accelerate AI deployment from months to mere weeks. Enjoy the advantages of enterprise-grade control combined with the simplicity of consumer-level interfaces, allowing you to enhance performance, cut expenses, and mitigate risks effectively. Don’t settle for a mere demonstration; turn your ideas into reality by launching the next groundbreaking GPT startup, diffusion venture, or cloud SaaS ML service in just days. Empower your vision with our tools and take significant strides in the AI landscape.

Entry Point AI serves as a cutting-edge platform for optimizing both proprietary and open-source language models. It allows users to manage prompts, fine-tune models, and evaluate their performance all from a single interface. Once you hit the ceiling of what prompt engineering can achieve, transitioning to model fine-tuning becomes essential, and our platform simplifies this process. Rather than instructing a model on how to act, fine-tuning teaches it desired behaviors. This process works in tandem with prompt engineering and retrieval-augmented generation (RAG), enabling users to fully harness the capabilities of AI models. Through fine-tuning, you can enhance the quality of your prompts significantly. Consider it an advanced version of few-shot learning where key examples are integrated directly into the model. For more straightforward tasks, you have the option to train a lighter model that can match or exceed the performance of a more complex one, leading to reduced latency and cost. Additionally, you can configure your model to avoid certain responses for safety reasons, which helps safeguard your brand and ensures proper formatting. By incorporating examples into your dataset, you can also address edge cases and guide the behavior of the model, ensuring it meets your specific requirements effectively. This comprehensive approach ensures that you not only optimize performance but also maintain control over the model's responses.

LanceDB is an accessible, open-source database specifically designed for AI development. It offers features such as hyperscalable vector search and sophisticated retrieval capabilities for Retrieval-Augmented Generation (RAG), along with support for streaming training data and the interactive analysis of extensive AI datasets, making it an ideal foundation for AI applications. The installation process takes only seconds, and it integrates effortlessly into your current data and AI toolchain. As an embedded database—similar to SQLite or DuckDB—LanceDB supports native object storage integration, allowing it to be deployed in various environments and efficiently scale to zero when inactive. Whether for quick prototyping or large-scale production, LanceDB provides exceptional speed for search, analytics, and training involving multimodal AI data. Notably, prominent AI companies have indexed vast numbers of vectors and extensive volumes of text, images, and videos at a significantly lower cost compared to other vector databases. Beyond mere embedding, it allows for filtering, selection, and streaming of training data directly from object storage, thereby ensuring optimal GPU utilization for enhanced performance. This versatility makes LanceDB a powerful tool in the evolving landscape of artificial intelligence.

BuyScrapApp is a software solution tailored for purchasing scrap metals and e-waste, crafted by experienced scrap dealers. This user-friendly recycling application simplifies the process of acquiring scrap metals, e-waste, CRV, and goods that can be resold. With its budget-friendly pricing, the app allows seamless expansion from a single computer to multiple locations and users. To begin using the software, you only need a computer, a printer, and a webcam. It's an ideal choice for anyone looking to streamline their scrap buying operations efficiently.

Xilinx's AI development platform for inference on its hardware includes a suite of optimized intellectual property (IP), tools, libraries, models, and example designs, all crafted to maximize efficiency and user-friendliness. This platform unlocks the capabilities of AI acceleration on Xilinx’s FPGAs and ACAPs, accommodating popular frameworks and the latest deep learning models for a wide array of tasks. It features an extensive collection of pre-optimized models that can be readily deployed on Xilinx devices, allowing users to quickly identify the most suitable model and initiate re-training for specific applications. Additionally, it offers a robust open-source quantizer that facilitates the quantization, calibration, and fine-tuning of both pruned and unpruned models. Users can also take advantage of the AI profiler, which performs a detailed layer-by-layer analysis to identify and resolve performance bottlenecks. Furthermore, the AI library provides open-source APIs in high-level C++ and Python, ensuring maximum portability across various environments, from edge devices to the cloud. Lastly, the efficient and scalable IP cores can be tailored to accommodate a diverse range of application requirements, making this platform a versatile solution for developers.

Declarative machine learning systems offer an ideal combination of flexibility and ease of use, facilitating the rapid implementation of cutting-edge models. Users concentrate on defining the “what” while the system autonomously determines the “how.” Though you can start with intelligent defaults, you have the freedom to adjust parameters extensively, even diving into code if necessary. Our team has been at the forefront of developing declarative machine learning systems in the industry, exemplified by Ludwig at Uber and Overton at Apple. Enjoy a selection of prebuilt data connectors designed for seamless compatibility with your databases, data warehouses, lakehouses, and object storage solutions. This approach allows you to train advanced deep learning models without the hassle of infrastructure management. Automated Machine Learning achieves a perfect equilibrium between flexibility and control, all while maintaining a declarative structure. By adopting this declarative method, you can finally train and deploy models at the speed you desire, enhancing productivity and innovation in your projects. The ease of use encourages experimentation, making it easier to refine models based on your specific needs.

Sapphire plug-ins enable the creation of breathtaking organic aesthetics that surpass the capabilities of any built-in effect tools provided by host applications. Among the prominent features are more than 270 effects and over 3000 presets, a robust effect and transition builder, alongside integrated tracking and masking powered by the award-winning Mocha software. The exceptional image quality, control, and rapid rendering speed of Sapphire contribute to significant time efficiency, allowing creators to concentrate on what truly matters: making an impactful impression that keeps viewers engaged. Mac users will be thrilled with the arrival of Metal GPU acceleration in Sapphire 2021, which enhances over 60 effects. With Metal acceleration, dramatic improvements in speed are possible; for instance, S_Rays can render more than four times faster compared to CPU-only processing. Although performance can fluctuate based on the specifications of the GPU, host application, operating system version, and specific Sapphire effects, Sapphire 2021 with Metal acceleration typically achieves rendering speeds that are 20% quicker than when using CPU alone, making it an essential tool for professionals aiming to elevate their work. This makes Sapphire an indispensable asset in the toolkit of any creative professional.

We have listened to customer feedback and have reduced the prices for both our bare metal and virtual server offerings while maintaining the same level of power and flexibility. A graphics processing unit (GPU) serves as an additional layer of computational ability that complements the central processing unit (CPU). By selecting IBM Cloud® for your GPU needs, you gain access to one of the most adaptable server selection frameworks in the market, effortless integration with your existing IBM Cloud infrastructure, APIs, and applications, along with a globally distributed network of data centers. When it comes to performance, IBM Cloud Bare Metal Servers equipped with GPUs outperform AWS servers on five distinct TensorFlow machine learning models. We provide both bare metal GPUs and virtual server GPUs, whereas Google Cloud exclusively offers virtual server instances. In a similar vein, Alibaba Cloud restricts its GPU offerings to virtual machines only, highlighting the unique advantages of our versatile options. Additionally, our bare metal GPUs are designed to deliver superior performance for demanding workloads, ensuring you have the necessary resources to drive innovation.

Metfab-2000 is a versatile ERP solution crafted for metal fabrication shops. Utilizing our Integrated Business Management System, it equips your shop with essential tools to collect, organize, and swiftly retrieve crucial production and financial data. Its design is inherently integrated yet modular, enabling all team members to engage, share information, and avoid bottlenecks or redundant data entry. Thanks to its adaptable configuration, Metfab-2000 can operate on nearly any platform. This comprehensive ERP package encompasses a variety of features, including a customer relationship management (CRM) module, tools for quotes and job estimates, production scheduling and tracking for job orders, shipping orders, accounts receivable and payable, inventory management, purchase orders, time and attendance tracking, and a general ledger, among other functionalities tailored specifically for metal fabricators. With such a wide range of features, Metfab-2000 stands out as an essential tool for enhancing efficiency and productivity in metal fabrication operations.

Pro-Est HVAC serves as a comprehensive estimating tool for HVAC projects, featuring capabilities for pipe work, sheet metal, and an Excel recap sheet. This program is designed to be affordable, user-friendly, and adaptable, functioning seamlessly on both 32-bit and 64-bit processors as well as on operating systems such as Windows XP, Vista, and Windows 7. Users can select from four distinct methods for estimating sheet metal, with two options incorporating shop labor and two that exclude it. Additionally, labor can be quantified in either pounds per hour or linear feet per hour, enhancing the program's versatility. The various methods available for sheet metal estimating encompass elements like liner, duct wrap, sealer, SMACNA pressure classes, reinforcement options (including Duct Mate and TDF), accessories, snaplock, and spiral configurations. Users have the option to incorporate additional reinforcement, liner, insulation, and accessories beyond those that come preinstalled, ensuring a tailored estimating experience. Importantly, all associated costs and labor productivity metrics are fully adjustable, allowing for precise financial planning. This flexibility makes Pro-Est HVAC an invaluable tool for HVAC professionals looking to streamline their estimating process.

FastDUCT is a commercial HVAC estimating tool that makes it easy to bid sheet metal and do ductwork jobs. FastDUCT can handle complex jobs with either purchased duct or company standards. FastPIPE will seamlessly integrate your reports and spreadsheets for a complete HVAC, plumbing, and mechanical solution. FastDUCT is ready to use HVAC estimating software. It was created for commercial and industrial sheet metal contractors that need a quick and accurate tool to estimate construction costs. We can takeoff and report rectangular, round, oval, and sheet metal ductwork, as well as HVAC equipment. FastDUCT can also be integrated with FastPIPE to provide complete, accurate and fast price quotes that are integrated into one Microsoft Excel spreadsheet. FastDUCT comes with a unconditional 60-day money back guarantee.

Metal accounting plays a crucial role in the governance of companies involved in metallurgy and mining. INVENTEO stands out as a comprehensive metallurgical accounting software that adheres to the P754 AMIRA code, allowing users to manage the entire lifecycle of metal accounting, which encompasses everything from sampling and measurement to data collection, reconciliation, and reporting. Beyond merely serving as metallurgy software, INVENTEO distinguishes itself as the sole packaged solution that also provides complete audits, implementation support, procedural guidelines, and training programs. Are you prepared to establish a dependable and verifiable metal accounting system? With INVENTEO, you obtain a thorough metallurgical accounting solution that encompasses not only integrated software but also a suite of consulting, training, and project management services. The software streamlines the process by automatically gathering plant data for reconciliation, mass balancing, and financial reporting, making it an invaluable tool for any organization looking to enhance its metal accounting practices. By integrating these capabilities, INVENTEO ensures that companies can maintain accuracy and compliance throughout their operations.