First-to-market integration of on-demand GPU compute and on-demand networking simplifies how enterprises deploy and scale AI workloads. CULVER CITY, Calif. and First-to-market integration of on-demand GPU compute and on-demand networking simplifies how enterprises deploy and scale AI workloads. CULVER CITY, Calif. and

PacketFabric and Massed Compute Introduce Industry’s First Integrated GPUaaS & NaaS Offering for Enterprise AI

First-to-market integration of on-demand GPU compute and on-demand networking simplifies how enterprises deploy and scale AI workloads.

CULVER CITY, Calif. and SEATTLE, Jan. 19, 2026 /PRNewswire/ — PacketFabric, a leading Network-as-a-Service (NaaS) provider, and Massed Compute, a provider of high-performance, managed GPU infrastructure, today announced the first-to-market, operationalized combination of GPU-as-a-Service (GPUaaS) and Network-as-a-Service (NaaS), delivering a production-ready platform for enterprise AI workloads.

Soon, customers will be able to discover, size, and order GPU resources through the PacketFabric portal, pairing on-demand GPU compute from Massed Compute with PacketFabric’s high-performance, on-demand connectivity—moving beyond standalone infrastructure components to a unified solution. The offering will launch with an initial on-net deployment, with additional locations planned over time.

“AI innovation is moving at an unprecedented speed, but infrastructure has been holding teams back,” said Chad Milam, CEO at PacketFabric. “This partnership represents one of the first truly integrated GPUaaS and NaaS offerings brought to market for enterprise AI workloads. Being first to market here matters—it means our customers can move from idea to production faster than anyone else.”

As AI workloads increasingly span clouds, data centers, and edge environments, performance depends as much on data movement as on raw compute. The PacketFabric and Massed Compute solution addresses this challenge by tightly coupling high-performance GPUs with flexible, scalable networking.

“For too long, customers have had to stitch together GPUs and networking from different providers and on different timelines,” said Sunny Smith, President, Co-Founder at Massed Compute. “This partnership changes that. We’re delivering a true GPU-as-a-Service experience—now paired with Network-as-a-Service—so customers can scale AI infrastructure as fast as their ambitions demand.”

Through the joint offering, customers can:

  • Provision GPU compute and network connectivity on demand
  • Eliminate delays caused by manual network provisioning
  • Move massive datasets efficiently across clouds and data centers
  • Scale AI workloads dynamically without long-term lock-in

The solution supports a wide range of AI, machine learning, and GPU-intensive use cases, including model training, inference, data-heavy analytics, and hybrid AI architectures. Customers will access the offering directly through the PacketFabric portal, with sales-assisted deployments available for enterprise use cases, including on-demand GPU instances, managed clusters, and on-prem environments.

The GPUaaS + NaaS offering will be available soon in the PacketFabric portal.

PacketFabric and Massed Compute are both portfolio companies of Digital Alpha, reflecting a shared focus on modernizing digital infrastructure for AI-driven enterprises.

About PacketFabric

PacketFabric is a Network-as-a-Service (NaaS) provider that enables enterprises to provision high-performance network connectivity on demand across clouds and data centers. With PacketFabric.ai, PacketFabric’s AI-powered interface, customers can explore pricing, provision services, and manage their network using natural-language commands—making connectivity faster, simpler, and more intuitive. Learn more at: packetfabric.com

About Massed Compute

Massed Compute provides high-performance, managed GPU infrastructure optimized for AI, machine learning, and HPC workloads. With on-demand, dedicated, and on-prem GPU offerings, Massed Compute helps enterprises deploy AI faster, more efficiently, and with full transparency. Learn more at: massedcompute.com

Media contact: Claire Barnhart, Marketing Director, Digital Alpha
[email protected]

Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/packetfabric-and-massed-compute-introduce-industrys-first-integrated-gpuaas–naas-offering-for-enterprise-ai-302663970.html

SOURCE PacketFabric

Market Opportunity
NodeAI Logo
NodeAI Price(GPU)
$0.05737
$0.05737$0.05737
-5.43%
USD
NodeAI (GPU) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact [email protected] for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

The Channel Factories We’ve Been Waiting For

The Channel Factories We’ve Been Waiting For

The post The Channel Factories We’ve Been Waiting For appeared on BitcoinEthereumNews.com. Visions of future technology are often prescient about the broad strokes while flubbing the details. The tablets in “2001: A Space Odyssey” do indeed look like iPads, but you never see the astronauts paying for subscriptions or wasting hours on Candy Crush.  Channel factories are one vision that arose early in the history of the Lightning Network to address some challenges that Lightning has faced from the beginning. Despite having grown to become Bitcoin’s most successful layer-2 scaling solution, with instant and low-fee payments, Lightning’s scale is limited by its reliance on payment channels. Although Lightning shifts most transactions off-chain, each payment channel still requires an on-chain transaction to open and (usually) another to close. As adoption grows, pressure on the blockchain grows with it. The need for a more scalable approach to managing channels is clear. Channel factories were supposed to meet this need, but where are they? In 2025, subnetworks are emerging that revive the impetus of channel factories with some new details that vastly increase their potential. They are natively interoperable with Lightning and achieve greater scale by allowing a group of participants to open a shared multisig UTXO and create multiple bilateral channels, which reduces the number of on-chain transactions and improves capital efficiency. Achieving greater scale by reducing complexity, Ark and Spark perform the same function as traditional channel factories with new designs and additional capabilities based on shared UTXOs.  Channel Factories 101 Channel factories have been around since the inception of Lightning. A factory is a multiparty contract where multiple users (not just two, as in a Dryja-Poon channel) cooperatively lock funds in a single multisig UTXO. They can open, close and update channels off-chain without updating the blockchain for each operation. Only when participants leave or the factory dissolves is an on-chain transaction…
Share
BitcoinEthereumNews2025/09/18 00:09
Will XRP Price Increase In September 2025?

Will XRP Price Increase In September 2025?

Ripple XRP is a cryptocurrency that primarily focuses on building a decentralised payments network to facilitate low-cost and cross-border transactions. It’s a native digital currency of the Ripple network, which works as a blockchain called the XRP Ledger (XRPL). It utilised a shared, distributed ledger to track account balances and transactions. What Do XRP Charts Reveal? […]
Share
Tronweekly2025/09/18 00:00
China Blocks Nvidia’s RTX Pro 6000D as Local Chips Rise

China Blocks Nvidia’s RTX Pro 6000D as Local Chips Rise

The post China Blocks Nvidia’s RTX Pro 6000D as Local Chips Rise appeared on BitcoinEthereumNews.com. China Blocks Nvidia’s RTX Pro 6000D as Local Chips Rise China’s internet regulator has ordered the country’s biggest technology firms, including Alibaba and ByteDance, to stop purchasing Nvidia’s RTX Pro 6000D GPUs. According to the Financial Times, the move shuts down the last major channel for mass supplies of American chips to the Chinese market. Why Beijing Halted Nvidia Purchases Chinese companies had planned to buy tens of thousands of RTX Pro 6000D accelerators and had already begun testing them in servers. But regulators intervened, halting the purchases and signaling stricter controls than earlier measures placed on Nvidia’s H20 chip. Image: Nvidia An audit compared Huawei and Cambricon processors, along with chips developed by Alibaba and Baidu, against Nvidia’s export-approved products. Regulators concluded that Chinese chips had reached performance levels comparable to the restricted U.S. models. This assessment pushed authorities to advise firms to rely more heavily on domestic processors, further tightening Nvidia’s already limited position in China. China’s Drive Toward Tech Independence The decision highlights Beijing’s focus on import substitution — developing self-sufficient chip production to reduce reliance on U.S. supplies. “The signal is now clear: all attention is focused on building a domestic ecosystem,” said a representative of a leading Chinese tech company. Nvidia had unveiled the RTX Pro 6000D in July 2025 during CEO Jensen Huang’s visit to Beijing, in an attempt to keep a foothold in China after Washington restricted exports of its most advanced chips. But momentum is shifting. Industry sources told the Financial Times that Chinese manufacturers plan to triple AI chip production next year to meet growing demand. They believe “domestic supply will now be sufficient without Nvidia.” What It Means for the Future With Huawei, Cambricon, Alibaba, and Baidu stepping up, China is positioning itself for long-term technological independence. Nvidia, meanwhile, faces…
Share
BitcoinEthereumNews2025/09/18 01:37