Tsavorite Scalable Intelligence, a pioneering provider of AI computing solutions, today announced its Omni Processing Unit™ (OPU)—a groundbreaking composable compute architecture that unifies CPU, GPU, memory, and interconnect into a single, developer-friendly device. Designed to deliver unprecedented scalability, performance, and cost efficiency, the OPU establishes a new benchmark for AI infrastructure spanning edge to hyperscale environments.
“With the Omni Processing Unit and our MultiPlexus fabric, we’ve built the first truly composable, developer-friendly AI platform that delivers step-change gains in efficiency, cost, and scale,” said Shalesh Thusoo, Founder and CEO of Tsavorite. “With production silicon and Helix™ AI appliances on track for 2026 and more than $100 million in pre-orders, we’re turning the promise of agentic AI into practical, deployable infrastructure.”
Redefining AI Compute Architecture
Tsavorite’s OPU combines compute, acceleration, and unified petabyte-scale memory into a single device. Its modular chiplet-based design allows for custom configuration across edge, on-premises, and cloud environments, addressing the diverse power, performance, and scaling requirements of modern AI workloads.
Key innovations include:
- MultiPlexus™ Fabric: A revolutionary interconnect spanning from die to rack, offering petabyte-scale bandwidth and gigabyte-scale caches with ultra-low latency.
- Modular Chiplet Architecture: Flexible scaling and form-factor customization, optimized for inference, training, and agentic workloads.
- Unified Petabyte-Scale Memory: High-bandwidth, composable memory dramatically enhances large model performance.
- Seamless Programmability: Tsavorite’s open software stack allows developers to run CUDA-optimized workflows on Tsavorite systems with zero switching cost.
“The semiconductor market is entering a new phase of architectural innovation driven by AI and data-intensive applications,” said Karl Freund, Founder and Principal Analyst at Cambrian-AI Research. “With prototype systems already in customer evaluation, Tsavorite’s chiplet-based architecture demonstrates real-world value and the potential to improve performance and efficiency at scale.”
Partnering to Build a Sustainable AI Future
Industry partners and investors are rallying around Tsavorite’s approach to sustainable, scalable AI infrastructure.
“Tsavorite’s composable AI architecture embodies the innovation required to build a more sustainable digital future,” said Eisuke Takenaka, Executive Officer at Sumitomo Corporation. “By combining Tsavorite’s breakthrough design with Sumitomo’s global reach, we aim to accelerate the deployment of energy-efficient AI infrastructure that drives economic growth while reducing environmental impact.”
“By combining compute, acceleration, and memory into a single device, this innovation holds strong potential to enhance performance across learning, inference, and emerging agentic workflows,” added Eric Eppe, CTO for Advanced Computing and AI at Eviden, Atos Group.
“Enterprises are increasingly focused on achieving greater AI performance while keeping costs and power in check,” said Michael Kuperman, Chief Reliability Officer & SVP Cloud Operations at Zscaler, Inc. “Tsavorite’s approach aligns with the industry shift toward sustainable, high-efficiency AI infrastructure.”
Flexible, Scalable, and Developer-Ready
Built by semiconductor and software veterans, Tsavorite’s architecture is designed from the ground up for flexibility. The company’s MultiPlexus™ AI fabric—the industry’s first AI compute catalyst—connects chiplets, packages, and racks into a single compute domain with distributed gigabyte caches and petabyte-scale bandwidth. This enables near-100% compute utilization across inference, fine-tuning, reinforcement learning, and agentic AI workflows.
The OPU includes an Arm® Neoverse®-based compute subsystem, offering exceptional performance-per-watt and robust software compatibility.
“By building on Arm Neoverse, Tsavorite is delivering a platform that brings together their specialized innovation and Arm’s proven energy efficiency, enabling AI solutions that scale from edge to hyperscale,” said Dermot O’Driscoll, Vice President of Product Solutions, Cloud AI Business, Arm.
“Tsavorite’s composable architecture is a remarkable example of how advanced design and Samsung Foundry’s leading process technology can redefine scalability in AI computing,” said Margaret Han, Executive VP and Head of U.S. Foundry at Samsung Electronics.
The Agentic Operating Stack (TAOS): AI Software Without the Overhead
Tsavorite’s Agentic Operating Stack (TAOS) enables developers to deploy AI models instantly—without code rewrites or proprietary dependencies. TAOS natively supports leading frameworks including PyTorch, vLLM, Triton, Hugging Face, Ray, and Kubernetes, integrating seamlessly into existing AI pipelines.
Early customers are already validating Tsavorite’s hardware and software, running full agentic workflows through the TAOS SDK.
Market Traction and Early Demand
With more than $100 million in pre-orders, Tsavorite’s market traction spans Fortune Global 500 companies, sovereign cloud providers, and leading systems integrators across the U.S., Asia, and Europe. Production silicon and the company’s Helix™ AI appliances are expected to ship in 2026, supporting next-generation agentic workloads.
“Tsavorite is poised to unlock affordable, scalable AI compute for the masses,” said Masood Pirzada, CEO, Venture Investments at Presidio Ventures. “By addressing power, scalability, and cost constraints head-on, Tsavorite could democratize access to next-generation AI infrastructure.”
“The next wave of AI progress won’t come from ever-larger monolithic chips, but from modular systems tuned to each workload,” added Austin Lyons, Senior Analyst at Creative Strategies Inc. “Tsavorite’s architecture puts performance-per-watt—and tokens-per-second—at the center of AI design.”
“It’s rare for a chip startup to emerge from stealth with working prototypes, strong early customers, and a clear path to market,” said Atiq Raza, Board Member at Tsavorite. “The Tsavorite team’s vision and execution set a new bar for innovation in AI hardware.”
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