Hydra Host news — company announcements, product releases, funding milestones, partnerships, and coverage of our work across AI infrastructure and bare metal GPU compute.

News - GPU Knowledge & Bare Metal Insights

FOR IMMEDIATE RELEASE&nbsp;New funding from Kindred Ventures, NVIDIA, and strategic investors accelerates Hydra Host’s pioneering operating system and compute offtake network for AI data centers, giving AI builders on-demand access to high-performance, sovereign GPU infrastructure with best-in-class economics and global reach.&nbsp;Boulder, Colorado — June 15, 2026 — Hydra Host today announced the closing of its Series A financing round of $100 million, led by Kindred Ventures, with participation from NVIDIA, ARK Invest, SPLY Capital, Jasper Lau’s Era Funds, Comcast Ventures, Magnetar, and PEAK6. Existing investors in the round include Founders Fund, 10x Founders, Sterling Road, and Flume Ventures (with participation from Scott McNealy).&nbsp;&nbsp;&nbsp;&nbsp;Hydra Host will use the funding to expand GPU-as-a-Service capacity to address surging global demand for dedicated AI infrastructure. As the infrastructure layer connecting world-class data center operators and investors to the next generation of AI builders, Hydra Host operates on both sides of the AI infrastructure market. Data center partners deploy, manage, and monetize GPU capacity through the&nbsp;Brokkr AI Factory Operating System™, while AI builders gain direct compute access to high-performance, sovereign, and secure Confidential Metal™ for mission-critical inference and training workloads, at real market-driven rates.&nbsp;&nbsp;The challenge in AI infrastructure is no longer access to GPUs; it's bringing AI factories online reliably, operating them at scale, and connecting that capacity to real workloads across training, inference, and research. Operators no longer need to build their own proprietary software stack, which causes integration challenges with customers. With Brokkr, Hydra Host standardizes AI infrastructure operations, including full revenue and performance transparency, across 50+ data centers spanning the Americas, APAC, and EMEA. On the demand offtake side, a majority of major inference platforms, and many of the GPU marketplaces and frontier labs, rely upon Hydra Host for short- and long-term compute resources.&nbsp;Hydra Host is deepening its position on both sides of its market: rapidly expanding its partner network of AI data center operators, investors, and lenders, while growing the sales and go-to-market motion that connects AI startups, neoclouds, and enterprise builders to available compute. This new capital infusion is also expected to support international growth, supply chain and procurement, and 24/7 HPC engineering — with the goal of ensuring every GPU in the Brokkr network operates at the highest tier, stays compliant, and remains commercially viable.&nbsp;&nbsp;“We are proud to partner with Kindred Ventures, a leading AI-focused venture capital fund in Silicon Valley, and NVIDIA, creator of the GPU and our strategic partner, as Hydra enters its next growth phase,” said Aaron Ginn, Co-founder &amp; CEO of Hydra Host. “We have spent years building the go-to operating system for global GPU deployments for data centers that want to become an AI factory. This funding will expand our data center footprint, scale our platform, and support our global customer base, who are looking to rent GPUs easily anywhere and everywhere. It will also help grow our software team, worldwide operations, and data center support to make converting megawatts into tokens easier.”&nbsp;&nbsp;Founder and Managing Partner of Kindred Ventures, Steve Jang, describes their investment in this context: “Over the next decade, every sector in the economy and each layer in the technology stack will be driven by high-value tokens generated by AI models. As hundreds of new AI data centers come online and thousands more are planned, Hydra Host offers an enlightened two-prong strategy of an operating system to procure, provision, and orchestrate GPUs as a service for data centers, and an intelligent and responsive offtake network for the world’s leading AI inference platforms, frontier labs, and enterprises. This is the asset-light scalable neo-cloud solution needed to enable compute supply to connect with workload demand, and ultimately help scale this global token economy. We are thrilled to invest in the Hydra Host team, vision, and mission.”&nbsp;Scott Lawrence, SVP and Chief Product Officer of Verizon Business, describes the partnership as follows: "Our GPU-as-a-Service proof of concept with Hydra Host demonstrated that combining Verizon’s robust network with the Brokkr platform delivers a fast, secure, and efficient path to high-performance compute. This trial successfully validates a new benchmark for mobilizing our infrastructure into scalable AI capacity."&nbsp;Mike Henry, CEO of Parasail, states: “Parasail executes a broad-based GPU sourcing strategy spanning both renting and buying, and Hydra Host has been there to help us with every procurement approach—including navigating the tough waters of purchasing and driving the standup of our first in-house fleet of B300s. Hydra is helping bring more AI factories online in the places where the market needs them most, which translates directly into more opportunities for Parasail to expand our footprint, serve customers across more regions, and deliver inference capacity with the speed and reliability our workloads demand. Hydra's growth is meaningful for us because it expands the infrastructure base that modern AI deployment depends on."&nbsp;&nbsp;About Hydra Host&nbsp;Hydra Host serves both sides of the AI infrastructure market. It helps infrastructure owners turn power, facilities, hardware, and capital into revenue-generating AI businesses, and it gives AI-native frontier lab, inference platform, compute marketplace, and enterprise customers dedicated bare-metal GPU infrastructure with improved economics, operational simplicity, and global reach. That position gives Hydra Host a differentiated role in the market as AI demand continues to grow exponentially and globally.&nbsp;Media Contact&nbsp;Corey Carrico&nbsp; Director of Marketing&nbsp; info@hydrahost.com&nbsp; &nbsp;&nbsp;

Hydra Host Raises $100 Million Series A to Expand Global AI Factory Capacity

Confidential AI on Bare Metal with Intel TDX

Run confidential AI workloads on bare metal, anywhere in the world—without having to trust your cloud provider. Perfect for regulated industries and sovereign data.&nbsp;<blockquote>Beta Release: We're shipping early because we believe this capability matters more than waiting for polish. Expect some rough edges; we'll be iterating fast based on your feedback.&nbsp;</blockquote>Hydra Host now offers one-click Intel TDX: we automatically provision a TEE-ready operating system and configure your server BIOS so you get a fully verified, confidential-computing-ready machine in less than 60 minutes on-demand.&nbsp;No need for vendor docs. No BIOS spelunking. No "why isn't TDX initializing?" Slack threads.&nbsp;Just:<ol><li>Select a server</li><li>Select a TEE OS</li><li>Start your confidential workloads&nbsp;</li></ol><h2>What Hydra's Confidential AI Enables</h2>With automated Intel TDX on Hydra, you can:&nbsp;Launch confidential AI services globally Offer LLM APIs and ML inference where neither your models, data, context, nor prompts are visible to the underlying infrastructure.&nbsp;Move regulated or high-sensitivity workloads to Hydra's cloud with cryptographic isolation Use hardware-backed confidentiality as part of your HIPAA / PCI-DSS / GDPR story.&nbsp;Implement strong, hardware-rooted key management Release secrets only to attested TDX environments, effectively giving you HSM-like guarantees without separate hardware.&nbsp;Build sovereign and regional offerings fast Stand up "trust-minimized" infrastructure in new regions without building local data centers or hiring local infra teams.&nbsp;This is not just "more secure servers." It's an entirely new go-to-market capability: offer AI capabilities to customers who previously would only run on their own on-prem hardware.&nbsp;<h2>Why Teams Choose Hydra for TDX</h2>We believe we are the first bare metal provider in the world to offer turnkey Intel TDX—from BIOS to OS to attestation—fully automated for on-demand consumption.&nbsp;<h3>The Old Model: "Just Trust Your Cloud"</h3>For years, "moving to the cloud" has meant accepting an open secret the industry doesn't like to say out loud: your cloud provider can see everything you run.&nbsp;Your data, your models, your prompts—all of it is technically accessible to their software stack and their employees. That's not a bug. That's the architecture.&nbsp;When you spin up a VM, you're implicitly trusting that:<ul><li>The hypervisor won't inspect or tamper with your memory</li><li>The host OS hasn't been compromised</li><li>The cloud provider's admins won't peek at your data</li><li>There's no successful hypervisor escape in the stack</li></ul>&nbsp;That's not paranoia—that's the default trust model of virtualized infrastructure.&nbsp;<h3>Intel TDX: A Secure Enclave for Your Workloads</h3>Intel Trust Domain Extensions (TDX) changes this model completely.&nbsp;TDX introduces Trust Domains (TDs)—hardware-isolated VMs where:<ul><li>The hypervisor and host OS cannot read your memory or CPU state</li><li>Your VM memory is always encrypted in hardware</li><li>You can remotely attest that your workload is running on genuine Intel hardware with the expected security configuration</li></ul>&nbsp;Think of it as a secure enclave shaped like a full Linux VM.&nbsp;You keep your existing tooling—SSH, containers, Kubernetes, GPUs—but now your workload is shielded, even from the cloud provider running the machines.&nbsp;<h2>Why TDX Is a Big Deal for Real Workloads</h2>&nbsp;<h3>1. The Hypervisor Is Out of the Trust Chain</h3>Intel TDX on Hydra means no one has visibility into your workload except you.That dramatically reduces risk from:<ul><li>Malicious or careless insiders</li><li>Hypervisor escape vulnerabilities</li><li>Compromised host OS</li></ul>&nbsp;<h3>2. Confidential Computing Without Rewriting Your Stack</h3>Early confidential computing (SGX) was powerful but painful:❌ Special enclave SDKs❌ Limited memory❌ Awkward I/O❌ Refactor your app or forget it&nbsp;With TDX on Hydra, you get:✅ Standard Ubuntu (24.04 LTS or 25.04)✅ Unmodified applications—run your existing code as-is✅ Hundreds of GBs of encrypted memory✅ Normal VM workflows—SSH, systemd, containers, Kubernetes✅ Full GPU passthrough&nbsp;Confidential computing stops being a research project and becomes a checkbox on your deployment pipeline.&nbsp;<h3>3. Zero-Trust Infrastructure, Actually Verified</h3>TDX includes remote attestation: cryptographic proof of where and how your workload is running.&nbsp;Your systems can verify that:<ul><li>They're running inside a genuine TDX environment on real Intel hardware</li><li>Firmware and TDX module versions match your policy</li><li>The measurement of the VM is exactly what you expect</li><li>No tampering occurred before your secrets are released</li></ul>&nbsp;This unlocks workflows like:<ul><li>"Only deliver TLS keys to an attested TDX host."</li><li>"Only start this service if the hardware, BIOS, and OS match our golden profile."</li><li>"Give auditors a cryptographically backed story of where sensitive data runs."</li></ul>&nbsp;For regulated industries, this is the missing piece between "we think it's safe" and "we can prove it's safe."&nbsp;<h3>4. The Killer App: Confidential AI</h3>The most explosive use case we see is confidential AI.&nbsp;With Hydra, you can:<ul><li>Run PyTorch, TensorFlow, vLLM, and other stacks inside a Trust Domain</li><li>Attach NVIDIA GPUs for high-performance inference or training</li><li>Keep both customer data and your models protected from the underlying infra</li></ul>&nbsp;You can now sell high-trust AI services, globally, without owning your own data centers.&nbsp;<h3>5. Sovereign, Regulated, and High-Sensitivity Cloud</h3>Intel TDX on Hydra is built for teams who care deeply about jurisdiction and control:<ul><li>Governments and public sector</li><li>Banks and fintech</li><li>Healthcare and life sciences</li><li>Enterprises dealing with cross-border data flows</li></ul>&nbsp;TDX gives you:<ul><li>Hardware-enforced encryption of memory and CPU state</li><li>Cryptographic attestation of your runtime environment</li><li>Zero provider access by design</li><li>A strong foundation for meeting HIPAA, PCI-DSS, GDPR, and similar obligations (with your own policies on top)</li></ul>&nbsp;You get the elasticity of cloud with a trust model closer to owning the metal yourself.&nbsp;<h2>The Catch: TDX Is a BIOS Puzzle From Hell</h2>Here's the unglamorous part most marketing pages skip:&nbsp;Getting TDX working on actual hardware is tricky and fragile.On bare metal, manual TDX setup isn't just a matter of flipping a flag and going. It's more like a puzzle where every switch you toggle affects three others behind the scenes. You bounce between deep BIOS menus, turning features on, off, then on again—virtualization here, memory encryption there, some security feature that only works if another was disabled two reboots ago—until the platform finally decides it's TDX-capable.&nbsp;Different server platforms:<ul><li>Call the same concept by different names</li><li>Hide critical options in various submenus</li><li>Require settings to be applied in a specific order, with a precise sequence of reboots</li></ul>&nbsp;Miss one dependency, or get one toggle wrong, and TDX doesn't politely tell you what's broken. It just… never comes up. At lab scale, that's annoying; at rack-and-region scale, it turns into a real operational risk.&nbsp;We've eaten this pain so you don't have to. Our team has wrestled TDX into production across multiple server platforms, documented every cursed BIOS quirk, and automated the entire sequence. That's the product.&nbsp;<h2>With Hydra: It's a Single Button Click</h2>Hydra takes the entire TDX BIOS + OS setup and automates it end-to-end.&nbsp;When you select a TDX-capable machine on Hydra:<ol><li>Choose your OS (Ubuntu Plucky 25.04 TEE or Ubuntu Noble 24.04 LTS TEE)</li><li>Click deploy</li><li>Get back a verified, TDX-ready server in under an hour</li></ol>&nbsp;Behind that button, Hydra:<ul><li>Detects the underlying hardware platform and its TDX capabilities</li><li>Applies a validated BIOS profile that enables Intel TDX, TME, TME-MT, and SGX features recommended by Canonical's TDX reference stack</li><li>Orchestrates the multi-stage reboot sequence automatically</li><li>Deploys a pre-configured TDX host OS</li><li>Verifies that the TDX module is initialized and healthy</li><li>Marks the server ready only after it passes all checks</li></ul>&nbsp;What used to take an expert 2–4 hours per server is now just minutes for anyone on your team.&nbsp;<h2>Under the Hood: BIOS Settings We Enable For You</h2>Instead of asking you to chase vendor documentation, Hydra applies a BIOS configuration that mirrors the Intel TDX host setup described in Canonical's tdx project.&nbsp;At a high level, a typical configuration on a TDX-capable platform looks like this:&nbsp;Under Socket Configuration → Processor Configuration → TME, TME-MT, TDX:<ul><li>Set Memory Encryption (TME) to Enable</li><li>Set Total Memory Encryption Bypass to Enable (optional, for best host OS and regular VM performance)</li><li>Set Total Memory Encryption Multi-Tenant (TME-MT) to Enable</li><li>Set TME-MT memory integrity to Disable</li><li>Set Trust Domain Extension (TDX) to Enable</li><li>Set TDX Secure Arbitration Mode Loader (SEAM Loader) to Enable (allows loading Intel TDX Loader and Intel TDX Module from the ESP or BIOS)</li><li>Set TME-MT/TDX key split to a non-zero value</li></ul>&nbsp;Under Socket Configuration → Processor Configuration → Software Guard Extension (SGX):<ul><li>Set SW Guard Extensions (SGX) to Enable</li></ul>Then save the BIOS settings and boot.&nbsp;Hydra automates the equivalents of these steps across supported server platforms, using each vendor's out-of-band management interfaces under the hood. You never have to click through BIOS menus or remember which combination of flags has to be toggled for Intel TDX to come up cleanly.&nbsp;<h2>Production-Ready TEE OS Images</h2>Our TEE images are built on Canonical's official TDX release 3.3.Each image ships with:<ul><li>TDX host stack pre-configured</li><li>KVM with TDX support enabled</li><li>Tooling for creating and managing Trust Domains</li><li>Integration with Intel Tiber Trust Services for remote attestation</li></ul>&nbsp;You don't need to assemble a custom OS image or chase a half-dozen kernel options; we've already done that work.&nbsp;<h2>Verification: Prove Your Server Is TDX-Ready</h2>On a Hydra TEE host, TDX isn't "probably enabled"—it's verified.&nbsp;You can check it yourself:

Hydra runs these checks automatically and will not mark a server ready until the TDX module is fully initialized and ready for you to use.&nbsp;<h2>Get Started</h2>&nbsp;We think confidential computing has been stuck in "interesting demo" territory for too long. This is our bet that it's ready for real workloads—and that bare metal is the right substrate to build it on.Try it. Break it. Tell us what's missing.&nbsp;<a href="https://brokkr.hydrahost.com/inventory">Browse TDX-capable servers on Hydra →</a>&nbsp;Questions or custom needs? Visit <a href="https://hydrahost.com/">hydrahost.com</a> or reach out to our team.

Hydra Host Launches the World's First Turnkey Intel TDX on Bare Metal Cloud

<h2>FOR IMMEDIATE RELEASE</h2>&nbsp;Hydra Host Supports El Salvador’s Deployment of NVIDIA Blackwell Ultra B300 GPUs for Sovereign AI Initiative&nbsp;San Salvador, El Salvador | November 19, 2025&nbsp;Hydra Host announced the successful delivery and engineering support of El Salvador’s new systems powered by <a href="https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/">NVIDIA Blackwell&nbsp;</a>Ultra B300 GPUs, marking a major step in the country’s expansion of sovereign AI infrastructure. The deployment follows the sovereign&nbsp;<a href="https://www.nvidia.com/en-us/data-center/hgx/">NVIDIA HGX&nbsp;B300</a> infrastructure secured in June when President Nayib Bukele met with Hydra Host CEO and cofounder Aaron Ginn, a moment covered in Diario La Página and amplified across the Salvadoran press.&nbsp;The arrival of the NVIDIA HGX&nbsp;B300 systems wereas reported in detail by Diario El Mundo in its article, “<a href="https://diario.elmundo.sv/ampArticle/el-salvador-recibe-chips-nvidia-extremadamente-potentes-para-supercomputacion-de-ia?amp=1">El Salvador recibe chips&nbsp;NVIDIA ‘extremadamente potentes’ para supercomputación de IA</a>”.&nbsp; The outlet highlighted the technical importance of the hardware and reiterated that the acquisition stemmed from the&nbsp;<a href="https://hydrahost.com/blog/news/sovereign-ai-deployment-el-salvador-b300/">June engagement with Hydra Host leadership</a>.&nbsp;The delivered platforms integrate the NVIDIA Blackwell architecture&nbsp;NVIDIA HGX B300 systems are integrated&nbsp;within Supermicro high density servers. They are designed to accelerate large-scale training, long-context inference, and advanced transformer-based workloads. With next-generation tensor computation capabilities, high-bandwidth interconnect performance, and notable improvements in compute throughput per watt, the systems create a strong foundation for the National AI Lab as it begins work on generative AI and GPU-accelerated research. El Salvador intends to power this infrastructure with geothermal energy, maintaining the country’s long-standing emphasis on sustainable operations.&nbsp;

Recieving the NVIDIA B300 Ultra GPUs at the data center

Hydra Host Bare Metal Engineer, Bradley Shadowens, oversaw the full intake and validation process on site. His responsibilities included system integrity checks, thermal and power assessments, and readiness verification before the cluster’s placement. Although he appeared without credit in several photographs shared publicly, his engineering work was essential to the successful handoff.&nbsp;Coverage extended beyond traditional print outlets.&nbsp;Diario La Huella detailed the technical significance of the deployment in its article, “<a href="https://diariolahuella.com/el-salvador-incorpora-los-chips-nvidia-b300-para-impulsar-su-avance-en-inteligencia-artificial">El Salvador incorpora los chips NVIDIA B300 para impulsar su avance en inteligencia artificial</a>”.&nbsp;English-language coverage echoed these developments. El Salvador in English published a detailed piece titled “<a href="https://elsalvadorinenglish.com/2025/11/13/first-in-latin-america-el-salvador-uses-geothermal-energy-to-power-nvidias-b300-ai-chips/">First in Latin America: El Salvador Uses Geothermal Energy to Power NVIDIA’s B300 AI Chips</a>”, reaffirming the country’s positioning as a regional leader in AI readiness and citing Hydra Host’s involvement in the process.&nbsp;<h4>“Our team is proud to support El Salvador as it builds out its sovereign AI infrastructure,” said Aaron Ginn, CEO and cofounder of Hydra Host. “Compute is now a strategic resource for nations. El Salvador recognized this early and acted decisively. Their leadership deserves real credit for moving first.”</h4>&nbsp;Hydra Host will continue providing engineering support as the systems progress into full production workloads.&nbsp;About Hydra HostHydra Host provides bare metal GPU infrastructure for AI training and inference. The company delivers high-performance systems with full hardware transparency and direct access. Hydra operates a global network of more than fifty data center locations and supports NVIDIA H100, H200, B200, and B300 GPU&nbsp;deployments for commercial, government, and research partners.&nbsp;Media ContactHydra Host Communications andrea.holt@hydrahost.com www.hydrahost.com

NVIDIA B300 Ultra GPUs being transported to data center in El Salvador.

Hydra Host Supports El Salvador’s Deployment of NVIDIA Blackwell Ultra and HGX B300 Systems for Sovereign AI

<h2>Hydra x Parasail: Inference for the Next Generation</h2>&nbsp;Most companies in AI focus on training, but the real challenge begins with deployment. Running models at scale, quickly, and across regions is complicated. It takes more than GPUs. It takes coordination and hardware that keeps up. That is where Parasail and Hydra shine.&nbsp;Parasail has built what it calls a <a href="https://www.parasail.io/">global Kubernetes layer for AI workloads</a>. It is a platform that makes deploying models across different GPU providers as simple as launching an app. Teams can deploy a model on an GPU in Frankfurt, mirror it in Tokyo, and scale in seconds without rebuilding the stack each time. It brings the flexibility of the cloud while keeping the control and performance that companies actually need.&nbsp;Hydra provides the bare metal backbone behind Parasail’s global deployments. With Hydra’s infrastructure, Parasail can deliver the same low-latency inference experience anywhere in the world. When a model needs to move from one region to another or from one GPU type to the next, the switch is seamless. Minutes after provisioning, <a href="https://hydrahost.com/procurement/">Hydra hardware is already running live workloads</a> through Parasail’s platform.&nbsp;Together, Hydra and Parasail are redefining what AI deployment looks like. Instead of<a href="https://brokkr.hydrahost.com/docs/brokkr-overview"> stitching together services and juggling APIs, you get a unified, high-performance pipeline </a>that can handle everything from speech-to-text to large language model inference inside the same data center. It is faster, simpler, and built to scale globally.&nbsp;This partnership is about more than performance. It gives developers and enterprises real freedom to build without being locked into a single platform. Hydra provides the compute, Parasail provides the orchestration, and together they are making AI infrastructure more open, efficient, and resilient.

Hydra x Parasail: Inference for the Next Generation

We are witnessing the most striking generational shift: by 2030, the United States will use more electricity for AI than it will use to manufacture all industrial products combined. 40% of new grid usage will be for AI.&nbsp;For this collaboration, we have built an end-to-end solution that optimizes the load on the electrical grid to deliver significant savings to AI customers. We deliver state-of-the-art open source models (e.g. Kimi K2) to thousands of users on the latest NVIDIA GPUs (B200s, H200s). These customers are building frontier applications with previously unimaginable ramp ups in users, so cost and scale is critical to them.&nbsp;&nbsp;Because the power grid is the most sensitive and overprovisioned to small moments of peak load, reducing this load for brief moments totalling only 3% of the day can turn a “no” from a utility company into a “yes”.&nbsp;This leads to a surprising magnification in cost savings across the physical infrastructure chain. With Parasail’s AI Deployment Network easily able to match load to supply and rebalance loads, we can pass cost savings &gt; 10% onto end customers with no downsides or impact, and we can ensure hardware is available when they scale.&nbsp;&nbsp;As this project demonstrates, great things happen when companies that are masters of their craft of the respective parts of this value chain come together. From end AI users to the inference platform through the data center and GPU rental ecosystem, all the way to power generation and grid operation.&nbsp;Here is how Parasail, Hydra Host, and Mercury Computing came together to build a unique solution to save customers money and help solve the toughest challenge our electrical grid has ever seen.&nbsp;Hydra's Key contribution:With Hydra, Parasail and Mercury did not have to worry about sourcing GPUs, managing the physical infrastructure, or running the software that managed power load events. Our <a href="https://brokkr.hydrahost.com/docs/brokkr-api-overview">Brokkr API</a> automated the provisioning of bare metal B200s and H200s across a vast network of data center partners, allowing compute to be deployed close to power sources and scaled with real-time demand. Parasail simply obtained high-performance GPUs in a familiar interface at a price far better than anything else on the market, due to the cost advantages of bare metal over cloud. Mercury focused on securing power from providers and installing their software in Hydra’s infrastructure. Parasail lives on the far end of demand (AI inference provider) and Mercury lives on the far end of supply (power supply to data centers). Hydra Host handled everything in between.&nbsp;<h3>Parasail:</h3>About Parasail:Parasail pulls together the world’s supply of GPU compute to build the best <a href="https://www.parasail.io/">AI inference platform</a>. Our AI Deployment Network connects a massive fleet of GPUs around the world into a single global pool with managed inference services, giving customers the ability to run AI deployments at peak performance and efficiency anywhere in the world with no effort or complexity. With over 40B tokens of production traffic served daily, Parasail is quickly becoming the AI inference platform of choice for customers that care about running the latest models and deploying large-scale workloads while maintaining the flexibility and cost effectiveness critical for success.&nbsp;&nbsp;Parasail's Key Contribution:Parasail’s role is to bring AI demand to this GPU infrastructure collaboration and manage the inference endpoints for customers. Parasail’s AI inference platform is built for the unprecedented explosion of demand for AI and the planetary-scale buildout of GPU infrastructure. They power a wide variety of workloads and use cases from high-reliability production-grade AI endpoints to overnight processing of massive batch workloads. Their platform excels at matching the supply of compute at a given time to demand, meaning power throttle events can easily be absorbed by load balancing to other sources or assigning the GPUs to less time-sensitive workloads.&nbsp;&nbsp;<h3>Mercury Computing:</h3>About Mercury Computing:<a href="https://mercurycomputing.io/">Mercury Computing</a> provides workload flexibility for data centers, speeding time to power through flexible utility interconnection. Mercury’s FlexSLA solution, ideal for AI workloads, lowers the cost of computing in exchange for occasional, non-interruptive power scaling—turning data centers into flexible grid resources and aligning incentives between data center operators, their compute tenants and local utilities.&nbsp;Mercury's Key contribution:Through its partnership with Parasail and Hydra Host, Mercury has officially launched its FlexSLA solution—and along with it the first live demonstration of AI workload flexibility.&nbsp;Mercury’s FlexSLA provides discounted computing in exchange for occasional workload flexibility via non-interruptive power scaling. Workload flexibility is highly valued by both data center operators and local utilities. A recent study by the Nicholas Institute for Energy, Environment and Sustainability at Duke University found that flexibility in just one quarter of one percent of hours—roughly 20 hours per year—would unlock 76 gigawatts of headroom for data center expansion over today’s grid infrastructure, avoiding the need for costly and prolonged grid infrastructure upgrades.&nbsp;Through collaboration with Parasail and Hydra Host, FlexSLA is now live and in production at a state-of-the-art colocated AI data center in Brooklyn, New York, powered by local utility Con Edison. The flexible workloads are production inference requests run by Parasail against Kimi 2, a recently released open source model with over 1 trillion parameters. Parasail is hosting <a href="https://www.kimi.com/">Kimi 2</a> on the newest generation NVIDIA Blackwell B200 8-way HGX server managed by Hydra Host.&nbsp;FlexSLA is currently available for any Hydra Host GPU reservation in data centers across the US. It can be added to existing agreements or embedded into new GPU reservations. Moreover, Mercury has integrated its software solution with Brokkr, Hydra Host’s bare metal GPU server management platform, making it fast and easy for customers to get started. There’s no install, configuration, or hardware retrofit necessary.&nbsp;For Parasail, Mercury’s first live FlexSLA customer, the impact on performance has been minimal, with initial results showing up to 25 percent decrease in energy consumption with only a 5 percent reduction in tokens per second inference throughput. Parasail’s distributed AI infrastructure easily handles occasional periods of brief power scaling, making the performance impact of FlexSLA barely noticeable—and its economics a no-brainer.

AI Infrastructure Meets Grid Optimization | Hydra Host, Parasail & Mercury

FOR IMMEDIATE RELEASE&nbsp;Hydra Host Powers World’s First Sovereign Deployment of NVIDIA B300 Chips in El SalvadorAI sovereignty starts with infrastructure—Hydra delivers it.&nbsp;San Salvador, El Salvador – June 26, 2025&nbsp;– In a historic move set to redefine the future of AI,&nbsp;Hydra Host&nbsp;has provisioned the world’s&nbsp;first sovereign acquisition of NVIDIA B300 chips&nbsp;for&nbsp;El Salvador’s National Artificial Intelligence Laboratory, marking a bold leap toward full-stack technological independence.&nbsp;Following a meeting between President Nayib Bukele and Hydra Host CEO &amp; Co-founder&nbsp;Aaron Ginn, El Salvador secured access to the most advanced AI processors on the market, enabling the country to train, run, and secure AI models on infrastructure it fully controls.&nbsp;“This isn’t just a chip order, it’s a sovereignty play,” said Ginn. “Hydra exists to give governments and enterprises control over their compute future.”&nbsp;Hydra Host, an&nbsp;<a href="https://hydrahost.com/post/hydra-host-named-nvidia-dgx-cloud-partner/">NVIDIA Cloud Partner (NCP)</a>&nbsp;focused entirely on&nbsp;bare metal deployments, is building the infrastructure behind El Salvador’s Sovereign AI—a national strategy for strategic resilience, economic competitiveness, and digital independence.&nbsp;This marks a new chapter in Hydra’s mission to empower sovereign AI capabilities. The company has deployed GPU infrastructure in over&nbsp;40&nbsp;global data centers, launched turnkey&nbsp;<a href="https://hydrahost.com/ai-factory/">AI Factories</a>&nbsp;for enterprises and nation-states, and is now expanding its presence in Central America by hiring its&nbsp;first full-time team member in El Salvador.&nbsp;Hydra will also play a hands-on role in&nbsp;talent development, as Aaron Ginn leads workshops with students in the country’s&nbsp;<a href="https://x.com/cubo_ai">Cubo AI program,</a>&nbsp;preparing a new generation of AI engineers equipped to build, scale, and govern their own models locally.&nbsp;This announcement follows El Salvador’s broader push for technological sovereignty through its&nbsp;National Artificial Intelligence Agency (ANIA), with partners including Google AI, NVIDIA, ARK Invest, and Nike.&nbsp;By placing B300 chips directly into the hands of a nation, not a hyperscaler, Hydra Host is setting the gold standard for sovereign AI infrastructure. In a world where compute is power,&nbsp;true sovereignty starts with bare metal.&nbsp;Media ContactAndrea HoltMarketing Manager, Hydra Host<a href="mailto:andrea.holt@hydrahost.com">andrea.holt@hydrahost.com</a>

President Bukele and Aaron Ginn announce B300 deployment for El Salvador’s National AI Lab.