CIOPages
For vendorsCorrections to your listing are free
Fix an error, free List a company, free Order a Spotlight listingAbout Spotlight listings
DirectoryAI & ML PlatformsLLM Infrastructure & APIsSambaNova

SambaNova

About SambaNova

SambaNova provides AI inference infrastructure built around a proprietary chip and architecture. The company designs its own chips, racks, systems, compiler and orchestration software and delivers them as a platform. The platform provides APIs for AI inference that are compatible with OpenAI's API format.

Products

  • SambaRack: Hardware platform set up in data centers to run AI inference workloads.
  • SambaRack SN50: Fifth-generation system optimized for agentic inference running large models.
  • SambaRack SN40-16: Fourth-generation platform optimized for low power inference that runs many models simultaneously.
  • SambaOrchestrator: Software that manages AI workloads across data centers, including scaling and monitoring.
  • RDU (Reconfigurable Dataflow Unit) chip: Chip with a three-tier memory architecture and dataflow processing used for AI inference.

Used for

  • Running AI inference workloads in data centers
  • Porting applications to use SambaNova's API
  • Switching between model bundles at inference time
  • Processing tokens in a private cloud
  • Running agentic AI workflows end-to-end on one node

Who it is for

  • Neocloud operators
  • Enterprises
  • Governments
  • Regulated industries

From SambaNova's own website, read 2026-10-24. How we build listings.

How to evaluate LLM Infrastructure & APIs

This is how the CIOPages Research Team evaluates this category. It is not an assessment of SambaNova. It comes from our Generative AI & LLM Platforms buyer guide.

25%
Model Capability & Task Fit
Reasoning and instruction-following on your tasks (not public leaderboards), multimodal coverage (text, image, audio, video) where you need it, context-window length for your documents, breadth of the model menu (frontier, mid, small), and measured quality on a held-out set of your real prompts
20%
Deployment, Data Residency & Governance
Where inference physically runs (multi-tenant API, your VPC, on-prem, air-gapped), explicit no-training-on-your-data and retention commitments, regional residency, SOC 2 / ISO 27001 / HIPAA / FedRAMP and EU AI Act alignment, and DLP, content filtering, and full prompt/response audit logging
15%
Build & Customization Tooling
First-class retrieval-augmented generation and grounding, managed fine-tuning and (where relevant) continued pre-training, an integrated evaluation and regression-testing harness, prompt/version management, and native or tightly integrated vector search over your corpora
15%
Agentic & Orchestration Readiness
Reliable tool/function calling, support for open agent protocols (MCP, A2A), a managed agent runtime with memory and state, multi-agent orchestration, and guardrails — permissions, human-in-the-loop checkpoints, and step-level tracing for autonomous workflows
15%
Portability & Lock-in Risk
How model-agnostic the API is, whether multiple model families are reachable through one interface, the real cost of swapping providers (prompt, tool-schema, and eval rework), reliance on open standards, and whether you can take fine-tuned weights or your data with you on exit
10%
Cost, Throughput & Operability
Token economics at your projected volume, batch and provisioned-throughput options, prompt-caching support, rate limits and quota headroom for production, p95 latency under load, regional availability and uptime SLAs, and built-in usage, cost, and quality observability

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .

Quick Facts

sambanova.ai
CategoryAI & ML Platforms
SubcategoryLLM Infrastructure & APIs
DeploymentOn-premises, Cloud

We publish a detail only when we can point at the page it came from. Know when SambaNova was founded or where it is based? Send it to us, free.

Keep reading

Buyer Guide
AI Model Serving & Inference Platforms
State of Play
Virtualization platforms

The annual review of this market: what changed, with answers from the vendors in it.

RFP questions
The RFP question bank

Vendor questions by category, from security to commercial terms.