Atlas Cloud at NYSE: Advancing AI Infrastructure and Enterprise Intelligence for Financial Services

Atlas Cloud, a leader in high-performance AI infrastructure and enterprise-grade cloud services, made a significant impression on the global tech stage with CEO Jerry Tang’s in-depth interview at the New York Stock Exchange (NYSE) as part of the “AI Factories – Data Centers of the Future” series. Tang discussed how AI infrastructure, including hyperscale GPU compute and neocloud platforms, is reshaping digital transformation — especially for industries that demand security, compliance, and scalability, such as financial services.

A Vision for Operational Intelligence Beyond Inference

Atlas Cloud’s mission is not simply to accelerate model inference — but to make intelligence operational, secure, and governed at enterprise scale. The company positions its platform as an enterprise runtime for agentic AI, combining model-agnostic inference, orchestration, governance, and autonomous agents into one unified architecture. This vision enables organizations to run complex AI workloads securely and efficiently, with real-time control and compliance.

“We didn’t just want to make inference faster — we wanted to make intelligence truly operational.” — Jerry Tang

This approach aims at a future where AI doesn’t just support business systems but becomes a core contributor to decision-making, automation, and enterprise workflows — especially in regulated industries where data privacy and operational control are paramount.

Cutting-Edge Infrastructure and Innovation

Atlas Cloud’s platform delivers comprehensive capabilities that allow organizations to build, deploy, and scale advanced AI solutions:

High performance GPU cloud infrastructure with secure, scalable access to clusters capable of supporting demanding AI workloads.
Enterprise AI model services that unify access to leading AI models with simple customization and secure deployment.
Financial AI agents for autonomous analytics, decision support, and workflow automation tailored to financial services.
Secure governance and compliance features designed to meet the needs of highly regulated sectors where data protection is non-negotiable.

This full-stack approach differentiates Atlas Cloud from many traditional cloud providers, positioning it as a trusted infrastructure partner for enterprises seeking both performance and compliance.

Atlas Inference: Breaking Down AI Economics

In 2025, Atlas Cloud launched Atlas Inference, a next-generation AI inference platform developed in collaboration with SGLang. This platform dramatically reduces the GPU and server resources required to run large language models (LLMs), delivering higher throughput and lower operational cost than many competing solutions.

In benchmark tests, Atlas Inference’s configurations demonstrated up to 2.1× greater throughput compared to larger setups from other major cloud vendors, while using fewer servers and maintaining low latency — a breakthrough for organizations that need scalable, cost-effective AI deployment.

“Our platform’s ability to process tens of thousands of tokens per second means businesses can make high-volume AI services profitable instead of merely break-even.” — Jerry Tang

Strategic Partnerships and Sustainable Growth

Atlas Cloud continues to expand through strategic industry partnerships that reinforce its commitment to sustainable and scalable AI infrastructure:

A major collaboration with NewYork GreenCloud to deploy renewable-powered GPU clusters, part of a broader $6 billion sustainable AI compute initiative that underscores Atlas’s long-term commitment to environmentally responsible technology.
A partnership with Soluna Holdings to support advanced AI video processing workloads on energy-efficient hardware, demonstrating Atlas Cloud’s engagement with renewable and scalable data center solutions.
Ongoing expansion of its neocloud services with leadership hires such as Suzanne Rabicoff as Chief of Field, accelerating go-to-market strategies for enterprise adoption of next-generation AI infrastructure.

These collaborations align with Atlas Cloud’s belief that innovation in AI must be coupled with sustainability and operational excellence, enabling customers to scale compute power without compromising environmental or regulatory goals.

Empowering Financial Services and the Trust Economy

Throughout the NYSE interview, Jerry Tang highlighted the unique challenges faced by financial institutions — particularly concerns around data privacy, regulatory compliance, and the limitations of traditional public cloud offerings. Atlas Cloud’s architecture is purpose-built to address these challenges, delivering a trusted compute environment where sensitive financial data can be processed and analyzed securely.

By enabling financial organizations to run complex AI workloads with full governance and compliance, Atlas Cloud supports the transformation of labor-intensive workflows, unlocking productivity while keeping risk tightly controlled.

Looking Ahead: AI That Works for Business

As AI demand continues to accelerate, Atlas Cloud remains committed to advancing platforms that make AI practical, efficient, and enterprise-ready. Jerry Tang’s vision — shared at the NYSE — reinforces the company’s belief that the future of intelligence lies not just in powerful models, but in systems that integrate compute, governance, and application-level capabilities for real business impact.

Atlas Cloud Platform: The World’s First Unified Multimodal Inference Runtime

Beyond infrastructure and vision, Atlas Cloud is redefining how developers and enterprises build, deploy, and scale AI applications through its platform — the world’s first unified, full-modality inference runtime.

Designed from the ground up for modern AI builders, the Atlas Cloud platform delivers one API for all modalities, eliminating the fragmentation and complexity of juggling multiple vendors, SDKs, and deployment environments.

With Atlas Cloud, developers can seamlessly work across:

Conversational AI and large language model inference
Advanced reasoning and agentic workflows
Image understanding and generation
Audio processing and speech intelligence
Video analysis and multimodal perception

All within a single, consistent API layer.

One API. Full Modality. Enterprise-Ready.

Atlas Cloud’s platform philosophy is simple:
explore, test, and scale multimodal intelligence without switching platforms.

Instead of stitching together separate services for text, vision, audio, and video, Atlas Cloud provides a unified inference fabric that allows teams to:

Rapidly prototype multimodal applications
Test and benchmark models across modalities
Scale production workloads with consistent performance and governance
Maintain enterprise-grade security, observability, and compliance

This dramatically reduces development friction while accelerating time-to-market for AI-powered products.

Built for Developers, Trusted by Enterprises

Atlas Cloud bridges the gap between developer experience and enterprise requirements:

Developer-first design with clean APIs, predictable performance, and model-agnostic flexibility
Enterprise-grade governance including access control, auditability, and compliance-ready deployment
High-performance inference optimized for cost efficiency at scale
Seamless transition from experimentation to production, without re-architecting systems

Whether building next-generation AI assistants, multimodal agents, or intelligent automation pipelines, developers can focus on capabilities and outcomes — not infrastructure complexity.

From Multimodal Inference to Agentic Intelligence

The Atlas Cloud platform is more than an inference gateway. It serves as the runtime foundation for agentic AI, enabling intelligent systems that reason, perceive, and act across modalities in real time.

By unifying multimodal inference with orchestration and governance, Atlas Cloud empowers organizations to turn AI from isolated features into operational intelligence embedded directly into business workflows.