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Description
Metal serves as a comprehensive, fully-managed machine learning retrieval platform ready for production. With Metal, you can uncover insights from your unstructured data by leveraging embeddings effectively. It operates as a managed service, enabling the development of AI products without the complications associated with infrastructure management. The platform supports various integrations, including OpenAI and CLIP, among others. You can efficiently process and segment your documents, maximizing the benefits of our system in live environments. The MetalRetriever can be easily integrated, and a straightforward /search endpoint facilitates running approximate nearest neighbor (ANN) queries. You can begin your journey with a free account, and Metal provides API keys for accessing our API and SDKs seamlessly. By using your API Key, you can authenticate by adjusting the headers accordingly. Our Typescript SDK is available to help you incorporate Metal into your application, although it's also compatible with JavaScript. There is a mechanism to programmatically fine-tune your specific machine learning model, and you also gain access to an indexed vector database containing your embeddings. Additionally, Metal offers resources tailored to represent your unique ML use-case, ensuring you have the tools needed for your specific requirements. Furthermore, this flexibility allows developers to adapt the service to various applications across different industries.
Description
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.
API Access
Has API
API Access
Has API
Integrations
Cocos Creator
Fedora CoreOS
GameplayKit
JavaScript
LangChain
OpenAI
Oracle Cloud Infrastructure
SceneKit
TypeScript
Integrations
Cocos Creator
Fedora CoreOS
GameplayKit
JavaScript
LangChain
OpenAI
Oracle Cloud Infrastructure
SceneKit
TypeScript
Pricing Details
$25 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Metal
Website
getmetal.io
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/cloud/compute/bare-metal.html
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization