B300 in Production: What 18 Benchmark Runs Actually Showed
- Velocis AI Cloud
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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
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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?
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Community
Find your fellow builders’ tribe
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Perspectives on AI, infra, and the market
Deep research and technical perspectives
How customers build AI with Neysa
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- Velocis AI Cloud
-
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
-
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?
-
- Resources
-
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
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- Why Neysa
- Pricing
- Partners
- Contact Us
- About Us
- Career
- Media Coverage
- Newsroom
- Velocis AI Cloud
-
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
-
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?
-
- Resources
-
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
-
- Why Neysa
- Pricing
- Partners
- Contact Us
- About Us
- Career
- Media Coverage
- Newsroom
Built to Scale AI. Engineered for Builders.
Modular, cloud-agnostic, and microservices-first — Neysa Velocis gives your teams speed, control, and freedom to innovate without infrastructure drag.
Simple by Design.
Powerful by Purpose.
At the heart of Neysa Velocis is a flexible, distributed architecture built to abstract away infrastructure complexity — while providing complete control, visibility, and extensibility for technical users.
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Your AI Operations, Expertly Managed
Full-service AI infrastructure and resource management
Continuous performance monitoring and optimization
Dedicated MLOps support and collaborative solution building
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Your AI Toolkit, Ready to Deploy
Pre-built APIs for OCR, NLP, and Computer Vision
Instantly deploy and scale your custom LLMs
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AI PaaS Lifecycle
An end-to-end, framework-agnostic platform for the entire ML lifecycle from data ingestion to inference
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Open, flexible, modular orchestration
AI Cluster Management
AI Scheduler
Resource Manager
+
Silicon-diverse high-performance training & inference infrastructure
GPUs: Bare Metals | Virtual Machines | Containers
CPUs
Storage: Object | Block | NFS
Networks
Your AI Operations, Expertly Managed
Full-service AI infrastructure and resource management
Continuous performance monitoring and optimization
Dedicated MLOps support and collaborative solution building
Your AI Toolkit, Ready to Deploy
Pre-built APIs for OCR, NLP, and Computer Vision
Instantly deploy and scale your custom LLMs
aiPaaS Lifecycle
An end-to-end, framework-agnostic platform for the entire ML lifecycle from data ingestion to inference
Open, flexible, modular orchestration
AI Cluster Management
AI Scheduler
Resource Manager
Silicon-diverse high-performance training & inference infrastructure
GPUs: Bare Metals | Virtual Machines | Containers
CPUs
Storage: Object | Block | NFS
Networks
A System That Thinks Like You Do
Every layer of Neysa Velocis is modular, API-driven, and secure by design — giving developers the flexibility to move fast and stay in control.
API-First & Extensible
Every core function is exposed via secure APIs. Integrate Velocis with your CI/CD pipelines, monitoring stacks, IDEs, and existing ML workflows.
Secure by Default
Every component enforces zero-trust principles, role-based access, and encrypted communication — governed by our zero trust security framework.
Modular & Layered
Pick what you need — GPUaaS, PaaS, Inference — without being forced into a monolithic stack. Each layer is independently consumable but deeply interoperable.
Microservices-Based
Each function-provisioning, training, inference, logging-runs as a scalable, independently deployable service, enabling horizontal scaling and fault isolation.
Cloud-Agnostic & Hybrid-Ready
Deploy on Neysa Velocis’s public AI cloud, in your private cluster, or in a hybrid mode — with consistent experience and orchestration across environments.
API-First & Extensible
Every core function is exposed via secure APIs. Integrate Velocis with your CI/CD pipelines, monitoring stacks, IDEs, and existing ML workflows.
Secure by Default
Every component enforces zero-trust principles, role-based access, and encrypted communication — governed by our zero trust security framework.
Modular & Layered
Pick what you need — GPUaaS, PaaS, Inference — without being forced into a monolithic stack. Each layer is independently consumable but deeply interoperable.
Microservices-Based
Each function-provisioning, training, inference, logging-runs as a scalable, independently deployable service, enabling horizontal scaling and fault isolation.
Cloud-Agnostic & Hybrid-Ready
Deploy on Neysa Velocis’s public AI cloud, in your private cluster, or in a hybrid mode — with consistent experience and orchestration across environments.
Ship AI Faster. Run It Smarter. Scale Without Limits.
Neysa Velocis delivers real-world architectural advantages — from zero-downtime scaling to plug-and-play inference pipelines.
Scalability Without Rewrites
Scale GPU clusters, training pipelines, or inference endpoints independently — without changing your code or workflows.
High Availability & Resilience
Built-in redundancy, load balancing, and observability across all services. No single point of failure.
Speed to Production
Pre-integrated orchestration, pipelines, and inference layers reduce time from model prototyping to deployment — dramatically.
Enterprise-Grade Integration
Connects easily with enterprise IAM, data lakes, log aggregators, and VPCs. Compatible with industry-standard tools and frameworks (e.g., Git, Docker, MLflow, Kubeflow, Airflow).
Future-Proof Foundation
Designed to evolve — support for new GPU SKUs, model formats, and AI paradigms (like agents, fine-tuning, vector DBs) is built into the product roadmap.
Scalability Without Rewrites
Scale GPU clusters, training pipelines, or inference endpoints independently — without changing your code or workflows.
High Availability & Resilience
Built-in redundancy, load balancing, and observability across all services. No single point of failure.
Speed to Production
Pre-integrated orchestration, pipelines, and inference layers reduce time from model prototyping to deployment — dramatically.
Enterprise-Grade Integration
Connects easily with enterprise IAM, data lakes, log aggregators, and VPCs. Compatible with industry-standard tools and frameworks (e.g., Git, Docker, MLflow, Kubeflow, Airflow).
Future-Proof Foundation
Designed to evolve — support for new GPU SKUs, model formats, and AI paradigms (like agents, fine-tuning, vector DBs) is built into the product roadmap.
Works with Your Stack. Integrates Like It Belongs.
Whether it’s Git, MLflow, or your IAM system — Velocis plugs in fast, plays well across clouds, and brings your workflows up to speed.
Identity & Access
SSO, SAML, LDAP, RBAC
Data & Storage
S3, Azure Blob, HDFS, NFS, Weka
Dev & MLOps
GitHub/GitLab, MLflow, Docker, Kubeflow
Security & Compliance
SIEM tools, policy enforcement engines
Cloud Connectivity
Public/Private cloud, hybrid deployments, VPC support
Want to See Velocis in Action? Let’s Dive In.
Speak with a solution architect, explore the API docs, or test-drive the platform with your own workloads.