Build AI Cloud with Tequre AI Platform
Build and operationalize a GPU Cloud in no time with Tequre AI platform. Offer various services to customers while efficiently using & scaling the GPU infrastructure from a dashboard.
Accelerate Building AI Cloud
Tequre's deep expertise in open source technologies and experience of operating cloud platforms
at scale is used to build the Tequre AI Platform.
Sovereign AI Cloud with Tequre Platform
With advances in Gen AI, data privacy and security are more important than ever. With 137+ countries enacting some form of data protection and sovereignty laws, build AI cloud with data residency policies in place for data protection and privacy. With Tequre Sovereign AI Cloud, you can achieve digital sovereignty without stressing about all the operational complexity.
→ Tequre AI platform enables building a Sovereign AI Cloud in a colo facility or your data center.
→ Our platform follows the three aspects of sovereignty: data sovereignty, operational sovereignty, and software sovereignty.
→ Build AI infrastructure that ensures compliance with local regulations (like GDPR and Schrems II).
→ Platform can burst into the public cloud for specific scale needs while preserving data residency policies.
Tequre AI Bare Metal and Orchestration Platform
Tequre AI BareMetal platform provides GPU instances to consumers with a prebuilt & configured software stack. Tequre AI Orchestration platform utilizes the power of containers and Kubernetes to manage AI infrastructure while bin packing for efficiency. Get immediate access to the tools and frameworks you need to share GPU without the setup hassle.
→ Provide platform consumers with on-demand GPUs with per-minute/hour billing, fast booting instances, and powerful storage and networking, with the aim of minimizing downtime.
→ Be productive from the first hour with ML in a Box. Immediately start machine learning experiments and projects using the instances with a preconfigured software stack.
→ Achieve effective auto healing and auto scaling platform with Kubernetes orchestration. Efficiently manage GPU cloud resources & reduce costs.
→ Allocate the resources to multiple workloads using various scheduling techniques based on requirements such as fair share scheduler, guaranteed quotas, or GPU over provisioning.
→ Track the health of your GPU cloud with built-in observability, enabling proactive capacity planning and maximizing uptime to ensure your AI infrastructure meets demand.
Tequre AI MLOps Platform and Control Plane
With Tequre AI MLOps Platform, data scientists and engineers can build, train & deploy models and run AI and MLOps experiments without spending energy and resources managing GPU cloud infrastructure. Manage multiple cloud resources, data sources, server requests, system performance, logs, policies, etc., and administer all the management and business functionality through a single pane of glass with the Tequre AI Control plane.
→ Test various experiments for AI business use cases without worrying about setting up the MLOps pipeline while using the various foundation models from the open source world to author notebooks.
→ Connect to data sources and clean data before using with models/notebooks to maintain output accuracy and relevancy. Build models and train them on a distributed cluster for faster training & tracking of the experiments.
→ Deploy models to a choice of inference servers based on your needs, which are fine-tuned with the underlying infrastructure. Track requests to inference servers and optimize & debug based on monitoring & log data of the inference servers to keep MLOps in a healthy state.
→ Handle & operate on-premise and on cloud clusters and workloads along with underlying infrastructure from one user-friendly dashboard without any learning curve.
→ Monitor your system’s performance by tracking GPU, memory, and storage usage across your entire AI infrastructure in real-time and overview access control and audit logs of all operations on the platform to discover the unwanted waste of resources and downtime quickly.
LLM Deployment, Scaling & Monitoring
Our AI experts will ensure that agents, models, and AI infrastructure remain healthy, resilient, and up to date to meet the regularly changing business demands and win the competitive advantage through speed.
→ Monitor & measure the performance of generative AI agents and models in executing tasks to improve accuracy based on data or model changes.
→ Update models to the latest version and test end-to-end performance before switching versions in production to ensure a smooth upgrade.
→ Our AI cloud experts set up monitoring & fine-tune the deployed agents and LLM to meet business demands. Use auto-scaling and auto-healing to respond to traffic and errors, ensuring minimal downtime.
We Understand the Nitty-Gritty!
Gain leverage with our proven artificial intelligence expertise & industry exposure. Working with 100+ clients, we know the criticalities, compliances & the importance of getting things right in the first go. Be it an enterprise with datacenters across the world or a rapidly scaling startup, we got it covered!
Banking and Finance
Customers demand highly available & compliant systems to efficiently handle transactions & payment requests 24/7. →
Technology, SaaS & Internet
Focus on integrating AI within your SaaS on the top of the cloud built for AI while we build & manage your GPU server for performance.
Automotive
Keep up with AI & machine learning with the rising customer expectations and integrate more technologies while reaching heights of a safer and sustainable future. →
Energy, Oil & Gas
Modernize your system to streamline inspections, better resource monitoring, visualize data, and reduce operational costs.
Healthcare
Leverage the power of cloud GPU instances to process patient data at speed to adapt to the rapidly evolving healthcare demands.
Travel & Hospitality
Delight your customers with seamless operation & instant updates using cost-effective, flexible, and scalable system.
Looking for GPU Cloud Consulting partner?
Get expert guidance from our GPU Cloud consultants for building and managing
GPU cloud solutions and robust AI infrastructure.
Why Choose Tequre AI Platform for Building your AI Cloud?
Certified Developers
170 in-house engineers, including 4 CKS, 51 CKA, 19 Certified Kubernetes Application Developers & 2 Kubestronauts.
Domain Expertise
Implement the AI cloud best practices that we have learned while working with 100+ clients.
First Mover Advantage
Partner with the first Kubernetes service provider in India and second in APAC.
Training
Our AI training focuses on building knowledge of core AI concepts with practical experiences.
CNCF Certified Provider
Tequre is a proud CNCF Silver Member, and Kubernetes Certified Service Provider (KCSP).
Expand Easily
Easily scale up the team of expert AI engineers & developers without the hassle of hiring or training.