Nous Research's flagship 405B model needs 430GB of VRAM at FP8 and more than 800GB at BF16. We size the cluster, provision it in an Indian data centre, and hand you a running vLLM endpoint.
TECHNICAL SPECIFICATIONS
Hermes 3 405B is a full-parameter fine-tune of Meta's Llama 3.1 405B, trained by Nous Research on roughly 390 million tokens of synthetic data. It keeps Llama 3.1's 128K context window and adds reliable function calling, structured JSON output, and neutral alignment that leaves steering decisions to you rather than to the model vendor.
Enterprise AI Agents
• Deploy enterprise-grade AI assistants and agents. • Support reasoning-intensive business workflows. • Enable secure AI operations across teams. • Integrate intelligent automation into applications. • Scale infrastructure as workloads expand. • Accelerate development and deployment cycles.
Automate complex tasks.
DEPLOYMENT
Deploy Hermes 3 through a streamlined process designed for agentic AI workloads, enterprise automation, and scalable infrastructure.
Compare infrastructure options for deploying Hermes 3 across AI assistants, autonomous agents, reasoning systems, and enterprise automation workloads.
| Feature | Host360 AI Infrastructure Contact Sales | Generic Cloud Provider Contact Sales | On-Premises Deployment Contact Sales |
|---|---|---|---|
RELATED INFRASTRUCTURE SERVICES
Build a complete environment for Hermes 3 with infrastructure, networking, security, storage, and operational services.
Every RTX 8000 workload runs inside Indian data centres. Full data residency, no cross-border transfer.
Significantly lower GPU compute costs than AWS, Azure and GCP — priced in INR
Host360 is an authorised Nutanix Cloud Partner. The same HCI platform that runs core banking and state data centre workloads across India
PyTorch, TensorFlow, CUDA, Jupyter and LLM frameworks ready on day one.
On-demand cloud for bursts, dedicated bare-metal for sustained runs — same portal, same support.
Engineering and data leaders running open-weight models on Host360 clusters.
200+
Indian operators
99.99%
Monthly uptime
24/7
Named SRE
FREQUENTLY ASKED QUESTIONS
Learn more about deploying, scaling, and managing Hermes 3 in enterprise environments.
Hermes 3 405B is a large language model from Nous Research, built as a full-parameter fine-tune of Meta's Llama 3.1 405B. It keeps the 128K context window and adds reliable function calling, structured JSON output, and agentic reasoning. It was released in August 2024 under the Llama 3.1 Community License.
Yes. Hermes 3 can run on dedicated GPU environments with full control over security, access, and governance.
AI assistants, autonomous agents, software development, enterprise automation, and research applications.
Yes. Host360 provides GPU compute, networking, storage, security controls, and deployment support.
Yes. The model can connect with APIs, internal systems, business applications, and AI-driven workflows.
Dedicated infrastructure delivers better performance, scalability, reliability, and operational control.
We reply within 2 hrs · IST business hours
Tell us your concurrency, context length, and latency target. We'll come back with a GPU configuration and a number — not a brochure.
Solve multi-step problems.
Expand resources on demand.
Simplify AI infrastructure.
| AI Workload Optimization |
| Included |
| Manual Tuning |
| Customer Managed |
| Private Networking | Included | Additional Configuration | Available |
| Scalability | On-Demand | On-Demand | Hardware Limited |
| Monitoring & Operations | Included | Limited | Internal Team |
| Security Controls | Enterprise Ready | Self Configured | Customer Controlled |
| Time to Deployment | Faster | Moderate | Longer Setup Cycles |
| Deployment Type | — | — | — |
Fast storage designed for models, datasets, and AI workloads.
Cloud engineers who understand AI workloads, backed by a 99.99% uptime SLA.
“Our compliance team had killed two previous LLM proposals. Host360's answer to 'where exactly does the data sit' was a rack, in a city, in India, with an audit trail. That got us through review in one meeting instead of six.”
Sameer Qureshi
“We run clinical document extraction and needed the full 128K window. Their team sized the FP8 cluster, tuned the vLLM config, and stayed on the call until our p99 was where we needed it. That's not a support ticket — that's an engineer.”
Divya Nair
“Our load is spiky by nature. The mix of a reserved baseline and on-demand burst capacity on the same portal means we're not paying for peak all year. Finance stopped asking me about the GPU bill.”
Nikhil Trivedi
“We evaluated four providers. Host360 was the only one that came to the second meeting with an actual architecture diagram instead of a price list. Six months in, that's still the difference.”