About Voltage Park

Provides bare-metal access to high-performance AI compute infrastructure powered by NVIDIA HGX H100 GPUs and a 3200 Gbps InfiniBand network, enabling low-latency, scalable training and inference for large-scale machine learning models. Offers transparent pricing and flexible deployment options, including on-demand nodes and long-term contracts, to meet the needs of demanding workloads in AI, HPC, and real-time applications.

```xml <problem> Training and deploying large-scale AI models requires significant computational resources, often exceeding the capacity of in-house infrastructure. Accessing and managing these resources can be complex and expensive, hindering innovation and slowing down development cycles. </problem> <solution> Voltage Park provides on-demand and reserved bare-metal access to high-performance computing infrastructure optimized for AI workloads. Leveraging NVIDIA HGX H100 GPUs and a 3200 Gbps InfiniBand network, the platform enables low-latency, scalable training and inference for demanding AI, HPC, and real-time applications. Voltage Park offers transparent pricing and flexible deployment options, including self-serve on-demand nodes and long-term contracts, allowing users to scale resources quickly and efficiently. The platform also provides managed Kubernetes, a fully managed service designed specifically for containerized AI/ML workloads on bare metal GPU clusters, simplifying deployment and reducing operational complexity. </solution> <features> - Access to NVIDIA HGX H100 GPUs in Dell PowerEdge XE9680 servers, each with 1TB RAM SXM and v52 CPUs - High-speed communication and low latency via a 3200 Gbps InfiniBand network - Six Tier 3+ designed data centers ensuring redundancy, availability, and reliability - Managed Kubernetes service for simplified deployment of containerized AI/ML workloads - Palo Alto firewalls and rigorous security protocols, including encryption, access controls, and regular audits - On-demand and reserved deployment options for flexible resource allocation - Transparent pricing with no hidden costs </features> <target_audience> The primary target audience includes AI/ML engineers, data scientists, and researchers who require high-performance computing resources for training, fine-tuning, and deploying large-scale AI models. </target_audience> ```

What does Voltage Park do?

Where is Voltage Park located?

Voltage Park is based in Berkeley, United States.

When was Voltage Park founded?

Voltage Park was founded in 2023.

How much funding has Voltage Park raised?

Voltage Park has raised 500000000.

Location

Berkeley, United States

Founded

2023

Funding

500000000

Employees

49 employees

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Voltage Park

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Executive Summary

voltagepark.com 1K+

Crunchbase

Founded 2023 – Berkeley, United States

Funding

Estimated Funding

$500M+

Team (40+)

No team information available.

Company Description

Problem

Training and deploying large-scale AI models requires significant computational resources, often exceeding the capacity of in-house infrastructure. Accessing and managing these resources can be complex and expensive, hindering innovation and slowing down development cycles.

Solution

Voltage Park provides on-demand and reserved bare-metal access to high-performance computing infrastructure optimized for AI workloads. Leveraging NVIDIA HGX H100 GPUs and a 3200 Gbps InfiniBand network, the platform enables low-latency, scalable training and inference for demanding AI, HPC, and real-time applications. Voltage Park offers transparent pricing and flexible deployment options, including self-serve on-demand nodes and long-term contracts, allowing users to scale resources quickly and efficiently. The platform also provides managed Kubernetes, a fully managed service designed specifically for containerized AI/ML workloads on bare metal GPU clusters, simplifying deployment and reducing operational complexity.

Features

Access to NVIDIA HGX H100 GPUs in Dell PowerEdge XE9680 servers, each with 1TB RAM SXM and v52 CPUs

High-speed communication and low latency via a 3200 Gbps InfiniBand network

Six Tier 3+ designed data centers ensuring redundancy, availability, and reliability

Managed Kubernetes service for simplified deployment of containerized AI/ML workloads

Palo Alto firewalls and rigorous security protocols, including encryption, access controls, and regular audits

On-demand and reserved deployment options for flexible resource allocation

Transparent pricing with no hidden costs

Target Audience

The primary target audience includes AI/ML engineers, data scientists, and researchers who require high-performance computing resources for training, fine-tuning, and deploying large-scale AI models.