If vLLM already solved LLM serving, why did SGLang appear?

Full-stack AI acceleration cloud
Enforce security policy on all LLM endpoints
Platform Architecture & Design
Inside the Velocis architecture
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Unified Monitoring & Management
Live telemetry across GPU clusters
End-to-end MLOps, automated
AI Platform-as-a-Service (AI PaaS)
Train and scale AI on managed infra
AI-native apps and agents, ready to deploy
Deploy open-source LLMs managed endpoints
Centralized control over your entire AI stack
NVIDIA & AMD GPUs on bare metal, VM, or K8
Protect AI environments and models

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Full-stack AI acceleration cloud
Enforce security policy on all LLM endpoints
Platform Architecture & Design
Inside the Velocis architecture
EXPLORE THE PLATFORM
Unified Monitoring & Management
Live telemetry across GPU clusters
End-to-end MLOps, automated
AI Platform-as-a-Service (AI PaaS)
Train and scale AI on managed infra
AI-native apps and agents, ready to deploy
Deploy open-source LLMs managed endpoints
Centralized control over your entire AI stack
NVIDIA & AMD GPUs on bare metal, VM, or K8
Protect AI environments and models

Tour the
SOLUTIONS BY INDUSTRY
Fraud, risk, and document AI for BFSI
Rethink underwriting and claims with AI
AI for recommendations, pricing, and demand
AI for design, simulation, and smart factories
Technical Education & Research
AI Cloud for research labs and learning
Scalable AI Cloud for AI-native teams
Have a use case in mind?

Community
Find your fellow builders’ tribe
Watch
READ
Perspectives on AI, infra, and the market
Deep research and technical perspectives
How customers build AI with Neysa
JOIN
Join Neysa events and webinars
FEATURED
Full-stack AI acceleration cloud
Enforce security policy on all LLM endpoints
Platform Architecture & Design
Inside the Velocis architecture
EXPLORE THE PLATFORM
Unified Monitoring & Management
Live telemetry across GPU clusters
End-to-end MLOps, automated
AI Platform-as-a-Service (AI PaaS)
Train and scale AI on managed infra
AI-native apps and agents, ready to deploy
Deploy open-source LLMs managed endpoints
Centralized control over your entire AI stack
NVIDIA & AMD GPUs on bare metal, VM, or K8
Protect AI environments and models

Tour the
SOLUTIONS BY INDUSTRY
Fraud, risk, and document AI for BFSI
Rethink underwriting and claims with AI
AI for recommendations, pricing, and demand
AI for design, simulation, and smart factories
Technical Education & Research
AI Cloud for research labs and learning
Scalable AI Cloud for AI-native teams
Have a use case in mind?

Community
Find your fellow builders’ tribe
Watch
READ
Perspectives on AI, infra, and the market
Deep research and technical perspectives
How customers build AI with Neysa
JOIN
Join Neysa events and webinars
FEATURED
Enterprise-grade security for your AI infrastructure with RBAC, encryption, and full audit trails from pipeline to production. Ensure zero-trust access, cryptographic protection, and audit readiness, from provisioning to production inference.

Built on a zero-trust model. Every service, user, and process is authenticated and isolated by default — whether training, tuning, or serving. ISO/IEC 27001:2022 certified and SOC2 compliant*.
Assign fine-grained permissions by project, persona, or asset — notebooks, models, environments, endpoints. Integrates seamlessly with SSO and IAM.
Every action, access, and system event is logged — from model uploads to deployment triggers — with exportable, governance-ready logs for compliance teams.
All data and artifacts encrypted at rest and in transit. Support for customer-managed keys (BYOK) and integration with enterprise KMS.
AI infrastructure needs more than a firewall, it needs full-stack trust.
Role-based access, encryption, audit logs, ISO 27001 and SOC2* compliance.
Built on zero-trust principles, no shared access, ever.
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