NVIDIA × Uber Drive AV: 28-City Robotaxi Fleet by 2028

At GTC 2026, NVIDIA and Uber announced a robotaxi partnership deploying NVIDIA Drive AV software across Uber's ride-hailing network in 28 cities spanning 4 continents by 2028 — starting with Los Angeles and San Francisco in 2027 (NVIDIA newsroom, 2026). It's the largest commercial robotaxi deployment outside of Waymo and Tesla.

Data last verified September 9, 2026 from NVIDIA newsroom and Uber.

What was announced

The partnership covers the full NVIDIA Drive AV stack running on the DRIVE Thor SoC:

• DRIVE Thor — 2,000 TOPS automotive SoC, shipping in Hyundai, Mercedes-Benz, and Volvo models in 2026-2027.
• DRIVE OS 7 — safety-certified real-time operating system (ASIL-D).
• DriveWorks — middleware for sensor fusion, perception, planning.
• Safety Force Field — defensive planner (NVIDIA, 2026).

Uber will deploy these in vehicles from Hyundai (Ioniq 5 robotaxi variant), Mercedes-Benz (EQS robotaxi), and Volvo (EX90 robotaxi).

The 28-city rollout

Source: NVIDIA + Uber press release (2026).

Why Uber partnered with NVIDIA

Uber sold its autonomous vehicle division (ATG) to Aurora in 2020. The Uber Eats + Uber Rides network, however, remains the world's largest ride-hailing platform with 150+ million monthly active users. To compete with Waymo, Uber needs:

1. Best-in-class AV software — NVIDIA Drive AV has 50+ million miles of simulation-tested driving.
2. Multiple OEM partners — Hyundai, Mercedes, Volvo give fleet redundancy.
3. Cost-efficient compute — DRIVE Thor at $3,000 per vehicle vs $50,000+ for custom stacks.

For NVIDIA, the partnership validates Drive AV against the world's largest commercial AV network — a $50B+ TAM by 2030 (NVIDIA, 2026).

Competitive impact

• Waymo — remains independent, but Hyundai/Geely OEM partners may evaluate Drive AV for non-Waymo models.
• Tesla — uses in-house FSD on HW4/HW5; robotaxi launched in Austin June 2026 with limited scale.
• Cruise / GM — shut down robotaxi in 2024; unlikely to re-enter.
• Aurora, Mobileye, Wayve, Pony.ai — face NVIDIA bundling pressure; consolidation likely.

Regulatory and safety

Drive AV is the first AV stack certified to ASIL-D (ISO 26262) functional safety across the full perception-to-control pipeline. NVIDIA's Safety Force Field is audited by TÜV SÜD. For the LA/SF launch, Uber will operate under California DMV and CPUC permits (NVIDIA, 2026).

Why this matters

The Uber-NVIDIA partnership is the first commercial-scale validation of "AV-as-a-service" — Uber becomes a platform for robotaxi OEMs, NVIDIA becomes the AV software of record. This is the same platform-as-a-service playbook that made NVIDIA dominant in AI training: own the highest-value layer (software + reference hardware), let others build on top.

For more on NVIDIA's broader strategy, see our analysis of Jensen Huang's $1T order outlook.

Why 28 cities is aggressive

The 28-city footprint is the largest commercial robotaxi deployment ever announced. For comparison:

• Waymo - 5 cities (Phoenix, SF, LA, Austin, Atlanta).
• Cruise - shut down (October 2024).
• Motional (Hyundai-Aptiv) - Las Vegas pilots only.
• Zoox (Amazon) - 2 cities (SF, Las Vegas, Foster City test track).

NVIDIA-Uber's 28 cities by 2028 is 5x the largest current commercial fleet.

The economics

Robotaxi unit economics:

Source: NVIDIA + Uber investor materials (2026).

Regulatory path

Per-city launch requires:

1. NHTSA exemption (US) or equivalent - typically 6-12 months.
2. State DMV permit - California CPUC, Texas DMV, etc.
3. Local AV testing permit - varies by city (London TFL, Singapore LTA, Dubai RTA).

NVIDIA + Uber have pre-filed in 8 of the 28 cities; remaining 20 in progress (NVIDIA, 2026).

What it means for the AV market

The NVIDIA-Uber partnership displaces about $50B of in-house AV development. Aurora, Mobileye, Wayve, Pony.ai all face existential pressure. By 2028, the robotaxi market may consolidate to 3 platforms: Waymo (Alphabet), Uber-NVIDIA, Tesla.

Why this matters for the broader AI ecosystem

This announcement fits into a larger pattern of the 2026 AI industry consolidation wave. Frontier labs (OpenAI, Anthropic, Google DeepMind, NVIDIA, xAI) are racing to capture the next platform shift while regulators, open-source competitors, and enterprise customers apply pressure from all sides. The three forces shaping the industry in 2026-2028 are: (1) inference cost compression (Vera Rubin driving 35x token cost reduction), (2) agent capability maturity (GPT-6 Astra, Claude Opus 4.5, Gemini 3.8 Flash all shipped in 2026), and (3) sovereign AI deployment (US Stargate, Saudi HUMAIN, UAE G42, India IndiaAI collectively committing over $200B).

For developers and businesses, the practical implications are concrete. Enterprise AI deployments are moving from pilot (2024-2025) to production (2026-2027). The key questions for any CTO evaluating AI in late 2026: which model(s) for which workload, how to handle data residency, how to manage agent risk, and how to measure ROI. The answers vary by industry - financial services prioritises compliance and auditability, healthcare prioritises privacy and FDA pathways, retail prioritises personalisation and unit economics.

What to watch next

Three upcoming events will validate or revise this analysis:

1. NVIDIA GTC Berlin (Oct 20-22, 2026) - European AI sovereignty + Vera Rubin EU rollout.
2. Made by Google October 2026 - Pixel 11, Gemini Spark 2, Android XR 2 launch.
3. AWS re:Invent (Nov 30 - Dec 4, 2026) - Trainium 4 announcement + AI infrastructure roadmap.

Cross-references

For related TutorsBot coverage, see our guides on Jensen Huang's $1T order outlook, Vera Rubin shipping Q3 2026, and the 2026 AI chip war landscape. For the broader market context, our analysis of NVDA's $4.5T market-cap trajectory and the AI factory / token economy thesis provide the strategic context.