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NVIDIA, the NVIDIA logo, RTX, RTX PRO, Blackwell, CUDA, NVLink, MGX, Omniverse, Spectrum-X, Quantum, BlueField, DGX and HGX are trademarks and/or registered trademarks of NVIDIA Corporation in the US and other countries. AMD, the AMD Arrow logo, EPYC, Instinct, Ryzen and Threadripper are trademarks of Advanced Micro Devices, Inc. Dell and PowerEdge are trademarks of Dell Inc. or its subsidiaries. Intel and Xeon are trademarks of Intel Corporation or its subsidiaries. AMAX, AceleMax and LiquidMax are trademarks of AMAX Engineering Corporation. All other product names, logos and brands are the property of their respective owners. We use them only to identify the products we describe, supply or support; their use does not mean their owners endorse us.

NVIDIA RTX PRO 6000 Blackwell Server Edition

One GPU for AI, graphics and simulation in the data centre

The RTX PRO 6000 Blackwell Server Edition puts 96 GB of GDDR7 and fifth-generation Tensor Cores into a standard PCIe card. We size, build, install and support RTX PRO servers in the UK, from a four-GPU 2U node to a 32-GPU rack.

See RTX PRO 6000 servers in the shopHable con un ingeniero
NVIDIA RTX PRO: AI and visual computing on the RTX PRO 6000 Blackwell Server Edition. Video: NVIDIA Corporation. Se reproduce desde el canal oficial de YouTube de NVIDIA. Ver en YouTubeNVIDIA, RTX PRO and Blackwell are trademarks and/or registered trademarks of NVIDIA Corporation. Shown to describe the products we supply; no endorsement by NVIDIA is implied.

Compartir GPU en la RTX PRO 6000: MIG con vGPU

GPU Sharing for Compute and Graphics: Universal MIG with NVIDIA vGPU on RTX PRO 6000 Blackwell. Se reproduce desde el canal oficial de YouTube de NVIDIA Developer. Ver en YouTubeNVIDIA, Blackwell, DGX, Grace y RTX PRO son marcas comerciales o marcas registradas de NVIDIA Corporation. Se muestran para describir los productos que suministramos; no implican ningún respaldo por parte de NVIDIA.
  • 96 GBGDDR7 with ECC per GPU
  • 1,597 GB/sAncho de banda de memoria
  • 4 PFLOPSFP4 Tensor Core (NVIDIA's peak figure)
  • 4Isolated MIG instances per GPU

What it is

The RTX PRO 6000 Blackwell Server Edition is NVIDIA's data-centre version of its top professional RTX GPU. It runs large language models and AI agents, and it also has RT Cores, video engines and display outputs for rendering, digital twins and video work. One card type can therefore serve several teams.

It replaces the L40S as NVIDIA's general-purpose PCIe data-centre GPU. Compared with the L40S it doubles the memory (96 GB against 48 GB), nearly doubles the bandwidth, adds FP4 precision and can be split into four isolated GPUs with Multi-Instance GPU (MIG).

Specifications

GPU architectureNVIDIA Blackwell
Núcleos CUDA24,064
Tensor Cores752, fifth generation (FP4, FP6, FP8, FP16, BF16, TF32)
RT Cores188, fourth generation
FP4 Tensor Core4 PFLOPS
FP8 Tensor Core2 PFLOPS
FP16 / BF16 Tensor Core1 PFLOPS
TF32 Tensor Core234 TFLOPS
FP32120 TFLOPS
Peak RT Core performance355 TFLOPS
Memoria GPU96 GB GDDR7 with ECC
Memory interface and bandwidth512-bit, 1,597 GB/s
Multi-Instance GPUUp to 4 isolated instances
Media engines4 × NVENC (9th gen), 4 × NVDEC (6th gen)
Display outputs4 × DisplayPort 2.1
Host interfacePCIe Gen 5 x16
Maximum powerUp to 600 W, configurable
FormatoAir cooled: dual slot, full height, full length, passive. Liquid cooled: single slot
SeguridadSecure boot with hardware root of trust

Figures from NVIDIA's product page and datasheet. Tensor Core figures are NVIDIA's peak numbers; real throughput depends on the model, precision and software.

What people run on it

LLM inference and AI agents

96 GB holds a 70-billion-parameter model in FP8 on one card, or a much larger one across four or eight. FP4 roughly halves the memory again for models that tolerate it.

Digital twins and physical AI

Omniverse and OpenUSD scenes, synthetic data for robotics and vision, and simulation, on the same GPUs as the models that use them.

Rendering, VFX and virtual production

RT Cores, DLSS 4 and neural shaders for final-frame rendering, plus four encoders and four decoders for video pipelines and streaming.

Scientific computing and analytics

120 TFLOPS of FP32 for simulation and engineering codes, and GPU-accelerated data science with RAPIDS.

Virtual workstations

Share GPUs between designers and engineers with MIG or NVIDIA virtual GPU software, so CAD and visualisation users don't each need a tower.

Mixed teams on one platform

Run inference by day and rendering or fine-tuning by night on the same servers, instead of buying separate fleets.

From one server to a full rack

RTX PRO 6000 cards go into standard PCIe servers. These are the three sizes we're asked for most.

2U, four GPUs

384 GB of GPU memory in a 2U chassis that fits an existing rack. Good for a department's private assistant, retrieval-augmented generation (RAG) over company documents, or a first production inference service.

About 3 to 3.5 kW at full GPU power

See RTX PRO 6000 servers in the shop

4U, eight GPUs (NVIDIA MGX)

768 GB of GPU memory. MGX servers such as the AMAX AceleMax AXG-428AG pair eight dual-slot GPUs with two AMD EPYC 9005 processors, up to five PCIe Gen 5 x16 slots for network cards and eight E1.S drives.

About 6 to 7 kW at full GPU power

See RTX PRO 6000 servers in the shop

A rack of 32 GPUs

Four eight-GPU servers with Spectrum-X Ethernet or Quantum InfiniBand between them: about 3 TB of GDDR7 and 128 PFLOPS of FP4 in one rack. AMAX sells this design as the RackScale 32. It suits inference at scale, multi-agent systems and large rendering farms.

Plan for 25 to 30 kW per rack

Ask for a rack-scale quote

RTX PRO 6000 Server Edition vs L40S

RTX PRO 6000 Blackwell Server EditionL40S
ArquitecturaBlackwellAda Lovelace
Memoria GPU96 GB GDDR7 ECC48 GB GDDR6 ECC
Ancho de banda de memoria1,597 GB/s864 GB/s
Núcleos CUDA24,06418,176
Tensor Cores752 (5th gen)568 (4th gen)
RT Cores188 (4th gen)142 (3rd gen)
FP32120 TFLOPS91.6 TFLOPS
FP4YesNo
MIGUp to 4 instancesNo
PCIeGen 5 x16Gen 4 x16
Maximum powerUp to 600 W350 W
Video engines4 NVENC / 4 NVDEC3 NVENC / 3 NVDEC

The L40S is still a sensible choice where power is tight or models fit in 48 GB. Where they don't, the RTX PRO 6000 usually needs fewer GPUs for the same job.

Before you order: power, cooling and network

  • Each card can draw up to 600 W. An eight-GPU server needs about 6 to 7 kW and a 32-GPU rack 25 to 30 kW, more than many UK server rooms provide per rack. We check your power and cooling first.
  • The power limit is configurable, so the cards can run at a lower limit where power is tight. You lose some performance but can fit more GPUs in the same supply.
  • The cards connect over PCIe Gen 5 rather than NVLink. Models that span several GPUs work best with servers that keep GPUs and network cards under the same PCIe switches, and with one 400 Gb/s port for every one or two GPUs if you run across servers.
  • Air-cooled cards are passive and depend on the server's fans. Liquid-cooled single-slot versions suit denser builds when the site has liquid cooling.

How Workstation delivers it

  1. 1

    Size

    We work out GPU memory, users and storage from your models, context lengths and traffic, and pick the smallest system that does the job.

  2. 2

    Quote

    A written quote with the exact configuration, the lead time and the power and cooling it needs.

  3. 3

    Build and test

    We install the operating system, NVIDIA data-centre drivers, CUDA, the container toolkit and your inference or rendering stack, then run a burn-in under full load.

  4. 4

    Install and support

    We deliver to your site or data centre, rack and cable it, and support it from the UK, with the manufacturer's warranty behind the hardware.

Questions

Is the Server Edition the same as the Workstation Edition?

No. Both have 96 GB of GDDR7, but the Server Edition is passively cooled and relies on the server's fans, with a configurable power limit up to 600 W, and comes in a single-slot liquid-cooled version too. The Workstation Edition has its own fans for desktop towers, and the Max-Q Workstation Edition runs at 300 W.

How large a model can one card run?

Roughly 70 billion parameters in FP8, or about twice that in FP4, leaving some memory for the KV cache. Long contexts and many users need more memory, so we size from your real context lengths and concurrency.

Does it support NVLink?

No. GPUs talk to each other over PCIe Gen 5. That's fine for running many copies of a model, or one model split across a few GPUs. For large training jobs that need NVLink, look at HGX B200 or B300 systems.

Can several teams share one GPU?

Yes. MIG splits a card into up to four isolated GPUs, each with its own memory and compute. NVIDIA's virtual GPU software is another option for virtual desktops.

How long does it take to arrive?

It depends on GPU supply and the server you choose. Each product in the shop shows our current lead time, and your quote confirms it before you order.

Leer más

  • Blog: why the RTX PRO 6000 Server Edition matters for UK businesses
  • Technical guide: sizing, servers, MIG, networking and deployment
  • News: RTX PRO 6000 Blackwell Server Edition systems now available to order
  • AI data centre solutions

Sources

  • NVIDIA: RTX PRO 6000 Blackwell Server Edition
  • AMAX: RackScale 32 with NVIDIA RTX PRO 6000 Blackwell Server Edition
  • AMAX: AceleMax AXG-428AG
  • AMAX: RTX PRO 6000 Blackwell Server Edition vs L40S

NVIDIA, the NVIDIA logo, RTX, RTX PRO, Blackwell, CUDA, NVLink, MGX, Omniverse, Spectrum-X, Quantum and DLSS are trademarks and/or registered trademarks of NVIDIA Corporation in the US and other countries. AMAX and AceleMax are trademarks of AMAX Engineering Corporation. AMD and EPYC are trademarks of Advanced Micro Devices, Inc. All other trademarks belong to their respective owners. Workstation describes these products as an independent supplier; no endorsement by their owners is implied. The product video is NVIDIA's.