NVIDIA gives you the parts to serve and customize models — NIM containers, NeMo, and the AI Enterprise bundle that ships them, plus the NVIDIA Agent Toolkit with its open-source OpenShell policy runtime. NIM, NeMo, the Agent Toolkit, and AI Enterprise are components you host, assemble, and operate yourself. An agentic application also needs a runtime that holds agent state and guarantees uptime, and with NVIDIA you build and run that layer. Akka delivers it as one operated, governed platform.
NVIDIA gives you an inference-and-microservice layer: NIM containers serve models, NeMo customizes them, and AI Enterprise is the licensed bundle that maintains and patches them. OpenShell sandboxes agents under policy, and the NeMo Agent toolkit wires agents together in code. Each is software you install, integrate, and run in your own infrastructure, and the serving layer is optimized for NVIDIA GPUs and CUDA.
Durable memory, streaming, and APIs are yours to source and wire together, and every component, OpenShell included, is yours to keep running. AI Enterprise entitles you to a support-response SLA on the software; it does not run the system or guarantee its uptime.
Akka gives you agents, durable state, streaming, APIs, and governance as one pre-integrated runtime. You describe the system you want, and the platform generates it, tests it, and runs it — on any hardware, any cloud, or on-prem, with no GPU or CUDA dependency in the application layer.
Akka keeps it running around the clock, with active-active replication and automatic failover, and stands behind a contractual 99.9999% availability SLA on the entire platform, backed by indemnities.
Akka Optimize puts each request on the best model for the task, including smaller models trained on your data.
| Dimension | With NVIDIA | With Akka |
|---|---|---|
| Availability | AI Enterprise carries a support-response SLA — a 4-hour initial response, 8x5 — and no uptime SLA. You run the software in your own infrastructure, so the running system's availability is yours to own. | 99.9999% on the entire platform — about 31 seconds a year — active-active, sub-1-minute RTO, zero-byte RPO, Akka-operated. |
| State & memory | Models are served statelessly. Durable agent memory is not provided as managed infrastructure; you source and operate a state store and vector database and own their latency and failure modes. | Durable state held in memory, sharded and replayable from the event journal — 4 ms reads, sub-10 ms writes, no external store to provision. |
| Governance | NeMo Guardrails runs input, output, and tool-execution rails. OpenShell enforces policy on agent file, network, and process actions and logs every allow and deny decision. NVIDIA offers no pre-deployment classification against regulations. | Akka Verify applies any control to any AI system and guarantees its enforcement, covering HITL, HOTL, guardrails, and evaluations, with every call recorded in tamper-evident storage. |
| Spec-driven delivery | NeMo Helix registers, deploys, evaluates, and optimizes agents your team has already written. AI-Q includes an evaluation system that explains how each answer is produced. | Akka Specify builds agentic systems from your specifications and releases only what meets your definition of done. |
| Model optimization | NeMo Switchyard routes requests across models, and NeMo Customizer fine-tunes models with LoRA or DPO. NVIDIA deprecated its Data Flywheel blueprint, which distilled smaller models from production traffic, in April 2026. | Akka Optimize puts each request on the best model for the task, including smaller models trained on your data. |
| Runtime track record | The NeMo Agent toolkit is an open-source library first released in March 2025 that works with LangChain, LlamaIndex, and CrewAI. OpenShell, the open-source NVIDIA agent runtime, was announced in March 2026. You host and operate both, and neither carries an availability SLA. | A production runtime since 2009, 100,000+ deployments, operated under one SLA. |
| Infrastructure cost | AI Enterprise lists at $4,500 per GPU per year for the serving layer alone; the agent runtime, memory, streaming, APIs, and governance above it are provisioned and billed separately. | One shared-compute runtime carries the same agentic volume on up to 90% less infrastructure, at a fixed annual fee. Akka Optimize keeps improving the models on your own production traffic, so cost per task keeps falling as the system runs. |
| Portability | Optimized for and dependent on NVIDIA GPUs and CUDA for the serving layer. | Runs on any hardware, any cloud, on-prem, or sovereign — portable specs, no GPU or CUDA dependency in the application layer. |
NVIDIA controls apply to the agents that run inside OpenShell or call NeMo Guardrails. The NVIDIA safety recipe refers to external regulations without naming one.
Govern the agents you host
NeMo Guardrails runs input, retrieval, dialog, execution, and output rails, which filter unsafe content and validate tool inputs and outputs. OpenShell enforces policy on each agent file, network, and process action at the infrastructure layer and keeps an audit trail of every allow and deny decision. The NeMo Agent toolkit adds human-in-the-loop approval over HTTP.
NVIDIA publishes no pre-deployment classification and no control mapping to a named regulation. NVIDIA Sentry, announced in October 2026, stops an agent that leaves its OpenShell boundary on BlueField-4 hardware.
Block & escalate
Risk teams govern every agentic system without waiting on its developers, and every control they apply is guaranteed to be enforced. Risk teams choose from 1,718 controls drawn from 241 regulations and frameworks. Human-in-the-loop approvals, human-on-the-loop halt switches, sanitizers, guardrails, evaluations, testing gates, and simulations all run before an action executes and block or escalate anything that does not pass.
Every call is traced automatically into petabyte-scale, tamper-evident storage, and that same trace data feeds continuous evaluations that keep running in production, right alongside your agents.
Reach for NVIDIA when your priority is serving and customizing models — self-hosting inference on NVIDIA GPUs, fine-tuning with NeMo, and standardizing on CUDA — and your team is ready to assemble and operate the agent runtime, memory, streaming, APIs, and governance around that serving layer, and to own the running system's uptime.
Reach for Akka when you are building an agentic application — agents, memory, streaming, APIs, and governance — and you want them pre-integrated and operated under one SLA, portable across any hardware or cloud, with durable state and runtime governance built in.
The Akka Agentic AI Platform builds, runs, governs and optimizes the entire agentic application under a contractual SLA, on any hardware or cloud. Tell us what you are building, and we will show you how it runs in production.
