Overview
NVIDIA recently released the RTX PRO 6000 Blackwell Server Edition as the next step in its professional GPU lineup, following the widely adopted L40S PCIe server card. Not to be confused with the RTX PRO 6000 Blackwell Workstation Edition, this server-focused model is built specifically for enterprise data center deployments. Both are built for high-performance workloads across AI, graphics, and simulation, but the Blackwell generation brings major changes in architecture, memory, and performance. Here's a closer look at how the new RTX PRO 6000 stacks up against the L40S and what those updates mean for data center deployments.
NVIDIA RTX PRO 6000 Blackwell Server Edition
The NVIDIA RTX PRO 6000 Blackwell Server Edition is built on the Blackwell architecture and supports PCIe Gen 5. The GPU targets organizations that require AI acceleration alongside high-end visualization capabilities. With 96GB of GDDR7 memory and fifth-generation Tensor Cores, this GPU is positioned as a universal platform that supports agentic AI, scientific computing, and 3D design in enterprise data centers.
The Blackwell Server Edition also supports Multi-Instance GPU (MIG), allowing the card to be partitioned into up to four fully isolated instances. Each instance has dedicated high-bandwidth memory, cache, and compute cores, enabling consistent quality of service across users or workloads. This flexibility helps maximize resource utilization in shared environments and makes the RTX PRO 6000 well-suited for multi-tenant data center deployments.
Designed to support multi-modal workloads, the RTX PRO 6000 offers FP4 precision for peak AI throughput and introduces enhancements like RTX Mega Geometry for accelerated rendering and simulation. This flexibility enables enterprises to develop, simulate, and deploy a range of AI-driven and visual workflows using a single architecture.
Specific Use Cases for the RTX PRO 6000 Blackwell Server Edition
- Agentic and Generative AI: Delivers 3.7 PFLOPS of FP4 performance to accelerate generative agents and LLM-based applications.
- Scientific and Physical AI: Supports demanding simulation workloads in robotics, digital twins, and manufacturing processes.
- Visual Computing and Rendering: 188 RT Cores and advanced NVENC/NVDEC engines provide the horsepower for professional rendering, 3D modeling, and high-resolution video processing.
- Media and Entertainment: With DisplayPort 2.1 support and enhanced encoding, it caters to live broadcasting, VFX, and post-production workflows.
NVIDIA L40S
The NVIDIA L40S, based on the Ada Lovelace architecture, was designed to meet the growing need for general-purpose AI acceleration and advanced graphics in data centers. It combines 48GB of GDDR6 memory, fourth-generation Tensor Cores, and third-generation RT Cores to support a range of AI and rendering workloads.
Known for its versatility, the L40S delivers strong performance in generative AI, LLM inference, and video rendering. It also includes NVIDIA’s Transformer Engine, which enhances training and inference efficiency by optimizing precision across FP8 and FP16 formats.
Specific Use Cases for the L40S
- Generative AI and LLM Inference: Capable of accelerating image generation (Stable Diffusion, SDXL) and LLM inference with support for FP8, FP16, and BFLOAT16.
- Omniverse Workflows: Integrated support for NVIDIA Omniverse for real-time 3D simulation and collaborative design.
- AI-Driven Graphics: Third-gen RT Cores and DLSS acceleration enable ray-traced rendering for visualization and product design.
- Video and Media: Suitable for multi-stream video encoding and playback with dedicated NVENC/NVDEC support.
Performance Comparison
The RTX PRO 6000 offers significant performance gains compared to the L40S, especially in AI compute throughput and memory capacity. The 3.7 PFLOPS of FP4 performance on the RTX PRO 6000 enables accelerated deployment of compact AI models and fast inference speeds across agentic workloads. Its expanded CUDA and Tensor Core counts also boost simulation and rendering performance.
In contrast, the L40S provides strong efficiency and performance across a wide set of existing data center workloads, offering a well-balanced solution for mixed AI and graphics applications.
Technical Specification Comparison
Spec | NVIDIA RTX PRO 6000 Blackwell | NVIDIA L40S |
---|---|---|
GPU Architecture | NVIDIA Blackwell | NVIDIA Ada Lovelace |
CUDA Cores | 24,064 | 18,176 |
Tensor Cores | 752 (5th Gen) | 568 (4th Gen) |
RT Cores | 188 (4th Gen) | 142 (3rd Gen) |
FP32 Performance | 117 TFLOPS | 91.6 TFLOPS |
FP4 Performance (AI) | 3.7 PFLOPS | Not available |
GPU Memory | 96GB GDDR7 ECC | 48GB GDDR6 ECC |
Memory Bandwidth | 1.6 TB/s | 864 GB/s |
Power Consumption | Up to 600W | 350W |
Form Factor | Dual-slot, passive | Dual-slot, passive |
PCIe Interface | PCIe Gen5 x16 | PCIe Gen4 x16 |
Display Outputs | 4x DisplayPort 2.1 | 4x DisplayPort 1.4a |
MIG Support | Up to 4 MIGs | Not supported |
Secure Boot with Root of Trust | Yes | Yes |
NVENC / NVDEC | 4x / 4x | 3x / 3x |
AMAX Deployment Expertise
At AMAX, we work directly with enterprises to deploy purpose-built GPU platforms that align with specific performance and operational requirements. Whether it's integrating the RTX PRO 6000 Blackwell for AI-driven design pipelines or configuring an L40S-based system for LLM fine-tuning and 3D visualization, our engineering teams specialize in building reliable, power-efficient compute infrastructure for data center environments.
We support NVIDIA’s MGX architecture, a modular server design platform that simplifies the deployment of PCIe-based GPUs like the RTX PRO 6000 and L40S across a wide range of workloads. MGX enables customers to scale and adapt their infrastructure with flexibility while reducing development time and integration complexity.
For current deployments, AMAX offers GPU-optimized server platforms such as the AceleMax® AXG-224IB, which supports up to four dual-slot PCIe GPUs—including the NVIDIA L40S and Blackwell Server Edition—and features dual Intel® Xeon® 6 processors, E1.S storage, and multiple Gen5 NIC expansion slots. For larger-scale applications, the AceleMax® AXG-428AG delivers support for up to eight dual-slot GPUs with NVLink® Bridge compatibility, powered by AMD EPYC™ 9005 series processors and offering up to five PCIe Gen5 NIC slots and eight E1.S bays. These systems are engineered to support next-generation GPUs while providing the scalability and thermal performance required for enterprise AI deployments.

AceleMax® AXG-428AG
- MGX™ 4U AI Server, up to 8 x dual-slot GPUs
(NVIDIA L40S, H200 NVL, RTX PRO™ 6000
Blackwell Server Edition) - NVIDIA® NVLink® Bridge support
- 2-Socket AMD EPYC™ 9005 Series processors,
up to 5GHz - Up to 5 x PCIe5.0 x16 slot for NICs
- Up to 8 x E1.S SSD
Choosing the Right GPU for Your Workload
The RTX PRO 6000 Blackwell Server Edition is the right choice for organizations planning to support large-scale AI workloads with the latest precision modes, graphics innovation, and memory capacity. It provides a future-ready foundation for simulation, agentic AI, and media processing at scale.
The NVIDIA L40S remains a solid performer for enterprises needing reliable acceleration for generative AI, model inference, and 3D graphics without the peak power draw or additional cooling requirements.
If you're exploring which GPU best matches your workload, AMAX can help you evaluate deployment options and performance benchmarks across platforms.