Full-Time
Updated on 8/6/2026
Cloud infrastructure provider offering SSD VPS
No salary listed
Chennai, Tamil Nadu, India
In Person
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Vultr provides cloud infrastructure services that let developers, startups, and enterprises run high-performance cloud servers (SSD VPS), storage, and networking. Its products include cloud compute instances, storage solutions, and networking capabilities, which can be deployed globally in 60 seconds and billed on a subscription (pay-for-use) basis. Customers manage resources through an online dashboard and API, scaling up or down as needed. Vultr differentiates itself by emphasizing fast global deployment, straightforward management, and strong customer support at a competitive price, supported by a large footprint of users and deployed servers. The company’s goal is to simplify cloud computing and offer scalable, reliable infrastructure that is easy to use and cost-effective for a worldwide audience.
Company Size
201-500
Company Stage
Debt Financing
Total Funding
$662M
Headquarters
West Palm Beach, Florida
Founded
2014
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Remote Work Options
401(k) Retirement Plan
401(k) Company Match
Professional Development Budget
Paid Vacation
Paid Sick Leave
Home Office Stipend
Phone/Internet Stipend
Gym Membership
Vultr adds AMD Instinct MI455X GPUs to its cloud platform. Two companies recently partnered with the University of Cambridge for a global environmental monitoring project July 30, 2026 Vultr has revealed it will offer the AMD Instinct MI455X GPU and support for AMD's Helios rackscale solution via its cloud platform. The company is currently accepting preorders for the hardware, which will be offered starting in Q4 2026. AMD launched its MI400 series GPUs earlier this month, including the MI455X and MI430X GPUs. The former is designed for AI training and inference, and the latter targets sovereign AI and HPC workloads. The chips are built with the company's new CDNA 5 architecture and on a 2nm process node. Each MI455X GPU includes 432GB of HBM4 memory, a 1.5x increase over the 288GB of HBM3E in the MI355X, with around 2.9x the peak memory bandwidth. They include 3.6 TBps of low-latency scale-up bandwidth across 36 links. The company also launched the Helios rackscale system the same day, which combines 72 AMD Instinct MI455X GPUs, 6th Gen AMD Epyc 'Venice' server CPUs, AMD ROCm software, and AMD Pensando networking into a singular rack-scale architecture with 18 compute trays and six switch trays. "Customers are rapidly moving from AI experimentation into production, and increasingly that means agentic and inference-heavy workloads that require infrastructure built for scale," said J.J. Kardwell, CEO of Vultr. "The AMD Instinct MI455X and Helios rackscale architecture give our customers the flexibility, control, and price-to-performance they need to scale their AI initiatives. Making this architecture available across Vultr's global infrastructure enables teams to build and deploy without constraints." "AMD Helios rackscale solution brings the best of AMD compute and networking technology together into a single rack-scale building block, delivering leadership performance, performance per watt, and cost per token for the next wave of AI," added Andrew Dieckmann, corporate vice president and general manager, data center GPU business unit, AMD. "As demand accelerates for large-scale inference and frontier-model training, AMD Helios gives customers a clear path to scale from rack to cluster with the efficiency, economics, and openness needed to power the most demanding AI workloads." This comes shortly after Vultr and AMD partnered with the University of Cambridge in the UK on a project to develop "TESSERA," an AI foundation model designed to monitor environmental change internationally. The University of Cambridge used AMD Instinct MI325X GPUs on Vultr's cloud platform to generate global embeddings with a 10m resolution using data from the European Space Agency Sentinel satellites covering the Earth's land surface between 2017 and 2025 to monitor agriculture, biodiversity conservation, and renewable energy infrastructure. Professor Anil Madhavapeddy, Professor of Planetary Computing at Cambridge's Department of Computer Science & Technology and co-director of the Cambridge Centre for Earth Observation, said: "Our goal is to democratize access to planetary-scale environmental monitoring. By making TESSERA's embeddings freely available under a CC-BY license and publishing the complete training pipeline, we're ensuring that any researcher, government, or organization worldwide can deploy this technology for their specific conservation needs." "This partnership exemplifies how cloud infrastructure can accelerate scientific research with genuine planetary impact," he added. "We're enabling a new paradigm for open, accessible environmental monitoring that can inform policy decisions and conservation actions in the UK and worldwide." More in cloud & hyperscale.
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Vultr has announced it will be among the first cloud providers to offer AMD's Instinct MI455X GPU and Helios rackscale solution. Pre-orders are now available, with deployment scheduled for Q4. The infrastructure is designed for AI training, inference, fine-tuning, agentic AI and high-performance computing workloads. AMD's Helios architecture supports up to 72 GPUs and features HBM4 memory capacity and advanced cooling options. Vultr CEO J.J. Kardwell said customers are moving from AI experimentation to production, requiring infrastructure built for scale. The company positions the offering as providing flexibility and price-to-performance for scaling AI initiatives across its global infrastructure. IDC forecasts a tenfold increase in enterprise AI agents over the next five years, driving demand for accelerated computing architecture capable of handling data-intensive workflows and repeated inference loops.
Vultr and AMD are supporting the University of Cambridge's TESSERA project, an AI foundation model for global environmental monitoring. Vultr is providing cloud infrastructure powered by AMD Instinct MI325X accelerators to generate embeddings covering Earth's land surface from 2017 to 2025. TESSERA processes European Space Agency Sentinel satellite data to create detailed representations of every 10-metre square of Earth's surface. The embeddings enable tracking of environmental changes, from crop health to deforestation, at unprecedented scale and accuracy. The project will make embeddings freely available under a CC-BY licence, along with a reproducible training pipeline. Applications include precision agriculture, biodiversity conservation, and renewable energy infrastructure mapping. The collaboration began in November 2025, with the first global embeddings available since early 2026.
Vultr and AMD support the University of Cambridge's TESSERA AI project to accelerate global environmental monitoring. Cambridge University's Energy & Environment Group Deploys Planetary-Scale Foundation Model on Vultr Cloud GPU Infrastructure Powered by AMD Instinct(TM) MI325X GPUs CAMBRIDGE, England - Vultr, the world's largest privately-held cloud infrastructure company, and AMD, a leader in high-performance and AI computing, have announced their support for the University of Cambridge's Energy & Environment Group in...