Audience
Machine learning, AI research, Bio-tech, Robotics, Graphic development, FinTech, Data processing
About Velda
Velda provides development environment where developer can directly run job in the cloud/cluster, with zero extra setup.
This gives developer on-demand access to compute (e.g. GPUs) needed to run machine learning training, simulation, batch jobs, or anything where HPC is desired, and with local-like experience and full customizability.
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AWS HPC
AWS High Performance Computing (HPC) services empower users to execute large-scale simulations and deep learning workloads in the cloud, providing virtually unlimited compute capacity, high-performance file systems, and high-throughput networking. This suite of services accelerates innovation by offering a broad range of cloud-based tools, including machine learning and analytics, enabling rapid design and testing of new products. Operational efficiency is maximized through on-demand access to compute resources, allowing users to focus on complex problem-solving without the constraints of traditional infrastructure. AWS HPC solutions include Elastic Fabric Adapter (EFA) for low-latency, high-bandwidth networking, AWS Batch for scaling computing jobs, AWS ParallelCluster for simplified cluster deployment, and Amazon FSx for high-performance file systems. These services collectively provide a flexible and scalable environment tailored to diverse HPC workloads.
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Telepresence
Telepresence streamlines your local development process, enabling immediate feedback. You can launch your local environment on your laptop, equipped with your preferred tools, while Telepresence seamlessly connects them to the microservices and test databases they rely on. It simplifies and expedites collaborative development, debugging, and testing within Kubernetes environments by establishing a seamless connection between your local machine and shared remote Kubernetes clusters.
Why Telepresence:
Faster feedback loops: Spend less time building, containerizing, and deploying code. Get immediate feedback on code changes by running your service in the cloud from your local machine.
Shift testing left: Create a remote-to-local debugging experience. Catch bugs pre-production without the configuration headache of remote debugging.
Deliver better, faster user experience: Get new features and applications into the hands of users faster and more frequently.
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Charg
Charg is an AI infrastructure lifecycle platform that transforms proven enterprise-grade supercomputing systems into scalable AI and high-performance computing cloud environments. Its public HPC cloud provides access to anything from a single GPU to a full 60+ PFLOPS cluster, giving teams supercomputing power without owning or managing the underlying hardware. It redeploys hyperscaler-class CRAY supercomputers and mature NVIDIA DGX architecture, combining clustered NVIDIA V100 GPUs with 200 GbE InfiniBand networking and petabytes of high-density all-flash CEPH storage for low-latency, high-throughput performance. Charg is built for demanding AI, scientific research, and engineering workloads, including model training, scaled inference, simulations, advanced data analysis, finite element analysis, and computational fluid dynamics. Its API-driven infrastructure scales with existing workflows and supports on-demand capacity without the operational restrictions.
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Ansys Cloud Direct
Access Ansys Cloud Direct anywhere, anytime to obtain endless simulation capabilities compatible with most Ansys solvers.
Engineering simulation has long been constrained by fixed computing resources available on a desktop or cluster. Ansys Cloud provides access to on-demand, cloud-based computing resources, including both interactive workstations and HPC clusters, for faster, high-fidelity results offering greater performance insight. Ansys Cloud increases simulation throughput by removing the hardware barrier. Ansys Cloud Direct is a scalable and cost-effective approach to HPC in the cloud.
To leverage the combined benefits of cloud computing and best-in-class engineering simulation, Ansys partnered with Microsoft® Azure™ to create a secure cloud solution.
Within Ansys Mechanical, Ansys Fluent, Ansys Electronics Desktop, Ansys SPEOS, Ansys Discovery, Ansys LS-Dyna, Ansys LST, Ansys CFX and Ansys Lumerical, you can easily access HPC in the cloud directly from the applications
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Pricing
Pricing Details:
Open source available.
Contact for enterprise pricing.
Contact for enterprise pricing.
Free Version:
Free Version available.
Integrations
Company Information
Velda
Founded: 2025
United States
velda.io
Videos and Screen Captures
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Product Details
Platforms Supported
Cloud
On-Premises
Training
Documentation
In Person
Videos
Support
Online
Velda Frequently Asked Questions
Velda Product Features
Application Development
Access Controls/Permissions
Deployment Management
Graphical User Interface
Software Development
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Mobile Development
No-Code
Reporting/Analytics
Source Control
Testing Management
Version Control
Web App Development
