2026-10-11 17:16 UTC

NVIDIA claims its forthcoming RTX PRO 5500 Blackwell will provide 84GB of ECC GDDR7 memory and up to two isolated GPU instances, expanding single-card capacity for large-model inference and shared enterprise workstations.

state: watchingheat: lowuncertainty: mediumnovelscott: mediumlocal-inference ai-hardware workstation-gpusNVIDIA

What is this?

The case concerns a purported NVIDIA RTX PRO 5500 Blackwell workstation GPU with 84GB ECC GDDR7 memory and support for two isolated GPU instances. However, the supplied search snippets establish NVIDIA’s RTX PRO Blackwell workstation lineup and a different model, the RTX PRO 5000 with 48GB or 72GB ECC GDDR7; none corroborates the 5500’s existence or claimed specifications. NVIDIA positions the family for local AI development and inference, but the case’s conflicting “released” and “Coming Soon” titles leave the alleged 5500’s availability unresolved.

Why it matters to Scott

If verified, the claimed 84GB card would bear directly on model-fit and hardware-selection decisions for Scott’s gamepc model-serving workstation and hardware-aware local inference, rather than establish convergence with an IP position. The supplied grounding does not corroborate the model or specifications, so this warrants verification, not a purchase recommendation; the radar tracks related Blackwell workstation hardware in system76-thelio-mira-ai, but not this specific development.
dev:project.gamepcdev:concept.hardware-aware-local-inferenceradar:concept.local-inferenceradar:concept.gpu-memoryradar:system76-thelio-mira-ai
queries asked of Scott's wikis
  • local inference VRAM limits model size context windows
  • on-premises AI privacy cloud dependence
  • workstation GPU costs versus cloud inference
  • GPU partitioning workload isolation shared agent infrastructure
  • local model deployment hardware roadmap

Measured heat

now 0 pts/hpeak 0 pts/hcomments 0/hpeers p14momentum: steady3 platformsage 656h
points/hour across evidence · reading as of 2026-10-12 02:59:37.977291+11:00 · deterministic, not a model opinion

How the heat travelled

09-14 09:22 (minted)⭐ origin echo-reconstructedNVIDIA lists the RTX PRO 5500 Blackwell as “Coming Soon,” with preliminary specifications including 84GB ECC GDDR7, 1398 GB/sec memory bandw
NVIDIA on blog (echo) · attributed from reddit.post.1wfxi36 · published time unknown
—
09-14 08:19first on r/LocalLLaMA · published · lag ?RTX PRO 5500 Blackwell (84GB) released
TechNerd10191
—
09-14 12:22first on hacker news · published · lag ?Nvidia Announces RTX Pro 5500 Blackwell Workstation Edition
jfaat
—
09-14 08:19amplified on r/LocalLLaMA 👑reddit.post.1wfxi36
TechNerd10191
peak 869 · 245 comments · 79% of case engagement
09-14 12:22amplified on hacker newshn.story.49695653
jfaat
peak 3 · 1 comments · 0% of case engagement
09-14 19:10amplified on hacker newshn.story.49702319
bhouston
peak 6 · 4 comments · 1% of case engagement
09-14 19:14amplified on r/LocalLLaMAreddit.post.1wgd14p
Lumpy_Phase_9539
peak 203 · 60 comments · 19% of case engagement
09-15 01:10amplified on hacker newshn.story.49706483
pelcg
peak 2 · 0 comments · 0% of case engagement
09-14 09:20our radar first saw it · lag ?discovery anchor: reddit.post.1wfxi36—
pace: p92 vs 1032 stories at the 336h mark (now 656h old) — ahead of claude-mods-in-process-extensions (1.0x), behind nvidia-cuda-rust-kernel-tracks (1.0x)

Evidence (6) — ⭐ canonical anchor

sourceobjectauthorscorecomments
🟠 redditRTX PRO 5500 Blackwell (84GB) released
LocalLLaMA
Retrieved article excerpt

Open article · Retrieved 2026-09-14T09:22:42.794149+00:00

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NVIDIA RTX PRO 5500 Blackwell Workstation Edition

# NVIDIA RTX PRO 5500 Blackwell Workstation Edition

Powering the next era of AI.

## Coming Soon

Sign up to be notified when the NVIDIA RTX PRO 5500 is available.

[Notify Me](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#notify-me)

[Specifications](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#quick-specs)

- [Overview](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#overview)
- [Features](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#features)
- [Workloads](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#workloads)
- [Specs](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#specs)
- [FAQs](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#faqs)
- [Get Started](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#get-started)

- [Overview](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#overview)
- [Features](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#features)
- [Workloads](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#workloads)
- [Specs](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#specs)
- [FAQs](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#faqs)
- [Get Started](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#get-started)

- [Overview](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#overview)
- [Features](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#features)
- [Workloads](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#workloads)
- [Specs](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#specs)
- [FAQs](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#faqs)
- [Get Started](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#get-started)

[Notify Me](https://www.nvidia.com/en-eu/products/workstations/professional-desktop-gpus/rtx-pro-5500/#notify-me)

Overview

## Scale Workstation Performance Across the Enterprise

The NVIDIA RTX PRO™ 5500 Blackwell Workstation Edition accelerates agentic AI, physical simulation, and graphics workloads to teams that need workstation power at scale. Built on the [NVIDIA Blackwell architecture](https://www.nvidia.com/en-eu/data-center/technologies/blackwell-architecture/) and equipped with 84 GB of ultra-fast GDDR7 memory, it’s designed for rack-mounted workstation deployment with a choice of air- or liquid-cooled thermal solutions, letting teams centralize, share, and scale workstation GPU power across the enterprise.

Features

## Powered by NVIDIA Blackwell Architecture

### Fifth-Generation Tensor Cores

Fifth-generation Tensor Cores deliver up to 3x the performance of the previous generation and add support for FP4 precision and DLSS 4 Multi Frame Generation technology. Accelerate agentic and generative AI applications, and drive enhanced content creation and graphics.

### Fourth-Generation RT Cores

Fourth-generation RT Cores deliver up to 2x the performance of the previous generation, accelerating rendering for M&E content creation, AECO design, and manufacturing prototyping. Create photoreal, physically accurate scenes and immersive 3D designs with neural graphics-based technologies, such as RTX Mega Geometry, enabling up to 100x more ray-traced triangles.

### NVIDIA CUDA Cores

NVIDIA Blackwell is the most powerful professional RTX GPU ever created, featuring the latest SM and NVIDIA CUDA™ core technology. The SM features increased processing throughput and new neural shaders that integrate neural networks inside of programmable shaders to drive the next decade of AI-augmented graphics innovations.

### 84 GB of GPU Memory

GDDR7 memory significantly boosts bandwidth and capacity, empowering your applications to run faster and work with larger, more complex datasets. With 84 GB of GPU memory, tackle massive 3D and AI projects, explore large-scale VR environments, and drive larger multi-app workflows.

### Ninth-Generation NVENC

Ninth-generation NVIDIA NVENC engines significantly accelerate video encoding speed and improve quality for professional video applications. They add new support for 4:2:2 H.264 and HEVC encoding, and improve HEVC and AV1 encoding quality.

### Sixth-Generation NVDEC

Sixth-generation NVIDIA NVDEC engines provide up to double H.264 decoding throughput and offer support for 4:2:2 H.264 and HEVC decode. Professionals can benefit from high-quality video playback, accelerate video data ingestion, and use advanced AI-powered video editing features.

### Multi-Instance GPU

Multi-Instance GPU (MIG) expands the performance and value of RTX PRO 5500, enabling the creation of up to two fully isolated instances. Each MIG instance has its own high-bandwidth memory, cache, and compute cores, along with guaranteed quality of service (QoS)—extending the reach of accelerated computing resources to every user.

### PCIe Gen 5

Support for PCI Express Gen 5 provides double the bandwidth of PCIe Gen 4, improving data transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks like AI, data science, and 3D modeling.

### DisplayPort 2.1

With DisplayPort 2.1 professionals can achieve unparalleled visual clarity and performance, driving high-resolution displays at up to 8K at 240 Hz and 16K at 60 Hz. Increased bandwidth enables seamless multi-monitor setups, ideal for multitasking and collaboration, while HDR and higher color depth support ensure superior color accuracy for precision work, such as video editing, 3D design, and live broadcasting.

Workloads

## Multi-Workload Acceleration

#### Agentic and Generative AI

The RTX PRO 5500 and NVIDIA AI platform bring professional-grade AI performance to power LLM inference, AI agents, generative AI, and computer vision workloads right from your desk. With 84 GB of GDDR7 memory, fifth-gen Tensor Cores, and second-generation Transformer Engine support, the RTX PRO 5500 delivers powerful performance for multimodal agentic and generative AI applications.

[Learn More About Agentic AI](https://www.nvidia.com/en-eu/solutions/ai/agentic-ai/)

Transform your business with NVIDIA agentic AI

#### Physical AI Applications

NVIDIA Omniverse™ makes it possible to develop and simulate generative physical AI-powered applications for industrial digitalization—right at your desktop. With powerful RTX graphics and AI capabilities, the RTX PRO 5500 GPU delivers exceptional performance for Universal Scene Description (OpenUSD)-based 3D, synthetic data generation, and robotics simulation workflows built on Omniverse.

[Learn More About Design and Simulation Solutions](https://www.nvidia.com/en-eu/solutions/design-and-simulation/)

NVIDIA Design and Simulation Solutions

#### AI-Powered Rendering and Graphics

The RTX PRO 5500 transforms creative workflows with fourth-generation RTX capabilities, fusing AI with cutting-edge ray tracing for neural graphics. RTX Neural Shaders automate complex lighting and textures, while DLSS 4 enables real-time photorealistic rendering through AI-powered upscaling. These advancements accelerate 3D modeling, animation, and virtual production across film, gaming, and architectural visualization.

[Learn More About NVIDIA RTX Technology](https://www.nvidia.com/en-us/technologies/rtx/)

NVIDIA RTX Technology

#### Scientific Computing and Data Analytics

Accelerate end-to-end scientific computing and data analytics workflows with powerful single-precision (FP32) and AI compute performance. Run large-scale simulations, accelerate dynamic programming algorithms, and extract meaningful insights from massive datasets for use across industries, including engineering, higher education, financial services, geoscience, healthcare, and more.

[Learn More About High Performance Computing](https://www.nvidia.com/en-us/high-performance-computing/)

NVIDIA RTX PRO 5500 accelerates scientific computing and data analytics

#### Video Content and Streaming

The RTX PRO 5500 boosts performance for live media and video pipelines. With 4:2:2 support and advanced encoding/decoding engines, it ensures pristine color accuracy and accelerated processing of high-resolution content. With improved AV1 and H.265 codec support, it’s ideal for livestreaming, real-time editing, and live media workflows.

NVIDIA RTX PRO 5500 for video content and streaming

Specifications\*

## NVIDIA RTX PRO 5500 Blackwell Workstation Edition

| GPU Architecture | NVIDIA Blackwell |
| --- | --- |
| Tensor Cores | 5th Generation |
| Ray Tracing Cores | 4th Generation |
| NVIDIA Encoder (NVENC) | 3x 9th Generation |
| NVIDIA Decoder (NVDEC) | 3x 6th Generation |
| GPU Memory | 84 GB GDDR7 with error-correcting code (ECC) |
| Memory Bandwidth | 1398 GB/sec |
| Display Ports | Up to 4x DisplayPort 2.1b |
| Max Power Consumption | Up to 600 W |
| Graphics Bus | PCIe Gen 5 x16 |
| Thermal | Active, air-cooled\*\* |

\*Preliminary product specifications, subject to change.  
 \*\*Liquid-cooled solution is available in the RXM form factor.

## Frequently Asked Questions

### What is the NVIDIA RTX PRO 5500 Blackwell Workstation Edition?

The NVIDIA RTX PRO 5500 Blackwell Workstation Edition is a professional desktop GPU built on the NVIDIA Blackwell architecture with 84 GB of GDDR7 memory. It accelerates agentic AI, physical AI, simulation, and graphics workloads, and is designed for rack-mounted workstation deployment across the enterprise.

### What workloads does the RTX PRO 5500 Blackwell accelerate?

The RTX PRO 5500 Blackwell targets multi-workload acceleration: agentic AI, generative AI and LLM inference, physical AI and simulation, AI-powered rendering, scientific computing and data analytics, and video production. A single card serves teams needing workstation power for both AI and graphics.

### What makes it different from other RTX PRO desktop GPUs?

The RTX PRO 5500 Blackwell is built for rack-mounted workstation deployment, with a choice of air- or liquid-cooled thermal solutions. IT teams can centralize GPUs into managed racks, share them across users, and scale capacity as demand grows—delivering workstation performance to professionals without individual desk-side hardware.

### How much GPU memory does the RTX PRO 5500 Blackwell have and why does it matter?

The RTX PRO 5500 Blackwell features 84 GB of GDDR7 memory with error-correcting code (ECC). The large GPU memory enables professionals to work with larger, more complex datasets—running large AI models, simulations, and detailed 3D scenes without splitting work across systems.

### What is multi-instance GPU (MIG) on the RTX PRO 5500 Blackwell?

MIG partitions a single RTX PRO 5500 into fully isolated instances—one instance with up to 8
TechNerd10191869245
🟧 echo.blog ⭐NVIDIA lists the RTX PRO 5500 Blackwell as “Coming Soon,” with preliminary specifications including 84GB ECC GDDR7, 1398 GB/sec memory bandwNVIDIA——
🟧 hnNvidia Announces RTX Pro 5500 Blackwell Workstation Editionjfaat31
🟠 redditNVIDIA Unveils RTX PRO 5500 "Blackwell" Workstation GPU with 84 GB GDDR7 Memory
LocalLLaMA
Lumpy_Phase_953920160
🟧 hnNvidia Launches RTX 5500 Pro Blackwell Desktop Edition with 84GB GDDR7 RAMbhouston64
🟧 hnNvidia Unveils RTX Pro 5500 Blackwell Workstation Edition GPUpelcg20

Interpretation history

Decision trace