96 GB
GDDR7 memory with ECC
Twice the 48 GB of the RTX 6000 Ada and more than the 80 GB A100 and H100 we fit. ECC corrects single-bit errors in GPU memory, which matters on runs that last days.
GPU dedicated servers · NVIDIA Blackwell · by the month
An RTX PRO 6000 dedicated server from us is a bare-metal machine with an NVIDIA RTX PRO 6000 Blackwell passed straight through to your own operating system. The complete server starts at $1,382.67 a month. The GPU carries 96 GB of GDDR7 with ECC. No GPU in our order catalogue holds more.
You get root on the machine, the GPU on the PCIe bus, and the driver and CUDA version you choose. The price is the processor, memory, disks, the port and an IPv4 address, plus the GPU as its own monthly line. Change any of it in the configurator.
The GPU
It is NVIDIA's professional Blackwell GPU, the successor to the RTX 6000 Ada. Four parts of it decide what the server is good for.
96 GB
Twice the 48 GB of the RTX 6000 Ada and more than the 80 GB A100 and H100 we fit. ECC corrects single-bit errors in GPU memory, which matters on runs that last days.
752
The Tensor cores run FP4, FP8 and FP16 matrix maths for inference and training. NVIDIA rates the GPU at 4,000 AI TOPS in FP4 with sparsity.
188
The RT cores do the ray and triangle tests in hardware, rated at 380 TFLOPS. OptiX renderers such as Blender Cycles, V-Ray and Arnold GPU use them.
4 + 4
Four 9th-generation encoders and four 6th-generation decoders, all with AV1, beside the compute cores. The A100 and H100 have no video encoder at all.
Against the accelerators
These are the GPUs with 40 GB or more that we fit, each priced as a complete server. The RTX PRO 6000 holds more memory than the H100 and costs $300 a month less as a complete server.
What it gives up is NVLink. Two of them in one machine are two separate 96 GB pools that exchange data over PCIe. The A100 and H100 carry an NVLink bridge connector, and a build with a bridge is quoted by hand on A100 or H100 servers. The A100 80 GB also reads its memory a little faster, 1,935 GB/s against 1,792 GB/s, which shows when you serve many users at a large batch size.
Platforms
The RTX PRO 6000 has a PCIe Gen 5 interface. Our Intel Xeon Silver and Gold machines run it at PCIe 3.0; the AMD EPYC machine runs it at PCIe 4.0. Once the weights or the scene sit in GPU memory the link is mostly idle. It matters for training loops that copy a fresh batch from system memory on every step, so take the EPYC machine for those.
| Machine | PCIe link to the GPU | Cheapest build | With the GPU | Cities | Order |
|---|---|---|---|---|---|
| Intel Xeon Silver / GoldIntel Xeon Silver 4110, 8 cores, 2.10 GHz · 16 GB DDR4 · 2 × SATA-SSD 240 GB (RAID 1) · 1 Gbps | PCIe 3.0 | $83.67/mo | $1,382.67/mo | New York, Miami, San Francisco and Bucharest | Configure Intel Xeon Silver / Gold with the RTX PRO 6000 |
| AMD EPYCAMD EPYC 7413, 24 cores, 2.65 GHz · 32 GB DDR4 · 1 × SATA-SSD 240 GB · 1 Gbps | PCIe 4.0 | $217.59/mo | $1,516.59/mo | New York and Bucharest | Configure AMD EPYC with the RTX PRO 6000 |
Each price is the cheapest build of that machine as the configurator opens it, and the button opens it with the GPU already selected. More processor, memory, disks and a faster port are priced there. Bucharest builds are billed in euros. Amsterdam machines are not offered with this GPU. More than one RTX PRO 6000 in one machine is quoted by hand: ask on chat or see multi-GPU servers.
Sizing
A model's weights take its parameter count times the bytes per parameter. The GPU needs a quarter to a half more on top for the KV cache and the runtime, and the table below applies that rule. A 70B model at 4-bit fits with room for context; at 8-bit it loads, but a long context or a second user runs it out.
| Model size (weights) | 4-bit | 8-bit | 16-bit |
|---|---|---|---|
| 7-8 billion parameters | Fits5 GB | Fits8 GB | Fits16 GB |
| 13-14 billion parameters | Fits8 GB | Fits14 GB | Fits28 GB |
| 30-34 billion parameters | Fits19 GB | Fits34 GB | Tight68 GB |
| 70 billion parameters | Fits38 GB | Tight70 GB | Does not fit140 GB |
Weights only, rounded up. For a plan model by model, with the machine it needs, see LLM servers.
Workloads
Serve a 70B model at 4-bit, or a 30B model at 8-bit, behind your own API with vLLM, llama.cpp or Ollama. Prompts and outputs stay on your machine.
QLoRA on a 70B model, or LoRA on a 13B model at 16-bit, fits in 96 GB. ECC memory guards a run of several days against silent bit flips.
Scenes that do not fit in 24 or 48 GB render on one GPU instead of being split. The RT cores handle the ray tracing.
Four AV1 encoders and four decoders transcode many live channels in hardware while the CUDA cores run something else. For a machine set up with Flussonic or Wowza, see GPU transcoding servers.
Delivery and terms
Nothing to fit: the server is installed and handed over. Instant servers lists what is racked right now.
A technician fits it to the machine you configured, builds the disks and installs the operating system.
We order it from a distributor, then fit it.
When distributors ration a GPU, you get the date before you commit.
Every timeline starts once payment and fraud review clear. You are told which of the four applies before you pay.
Owners also list RTX PRO 6000 machines on our marketplace, each at a price the owner sets. Listings marked as coming through our sister company, Primcast, are rented on primcast.com.
Specifications
| Specification | RTX PRO 6000 Blackwell |
|---|---|
| Architecture | NVIDIA Blackwell |
| GPU memory | 96 GB GDDR7 with ECC |
| Memory bandwidth | 1,792 GB/s |
| CUDA cores | 24,064 |
| Tensor cores | 752, 5th generation (FP4) |
| RT cores | 188, 4th generation |
| FP32 | 125 TFLOPS |
| RT performance | 380 TFLOPS |
| AI performance | 4,000 TOPS (FP4, sparse) |
| Video encode | 4 NVENC, 9th generation, AV1 |
| Video decode | 4 NVDEC, 6th generation, AV1 |
| Host interface | PCIe Gen 5 |
| Board power | up to 600 W |
| NVLink | none |
Answers
A complete RTX PRO 6000 server starts at $1,382.67 a month. That is the GPU at $1,299 plus the cheapest machine that takes it, at $83.67: Intel Xeon Silver 4110, 8 cores, 2.10 GHz · 16 GB DDR4 · 2 × SATA-SSD 240 GB (RAID 1) · 1 Gbps. A GPU fitted to order adds a one-time setup of $29, and paying 12 months ahead takes 15% off.
188 fourth-generation RT cores and 752 fifth-generation Tensor cores, beside 24,064 CUDA cores. NVIDIA rates the RT cores at 380 TFLOPS and the Tensor cores at 4,000 AI TOPS in FP4 with sparsity. The counts are the same on the Workstation, Max-Q and Server Editions.
No. The RTX 6000 Ada is the previous generation, with 48 GB of GDDR6. The RTX PRO 6000 is Blackwell, with 96 GB of GDDR7, fifth-generation Tensor cores and AV1 encoders. We fit both: if 48 GB covers your work, the RTX 6000 Ada is the cheaper server, and GPU servers prices every GPU we fit.
No. The RTX PRO 6000 has no NVLink connector, so two in one server are two 96 GB pools that exchange data over PCIe. The A100 and H100 carry an NVLink bridge connector, and a build with a bridge is quoted by hand. So is more than one RTX PRO 6000 in one machine.
Yes. At 4-bit a 70B model's weights take about 38 GB, which leaves room in 96 GB for a long context and several users. At 8-bit they take about 70 GB: it loads, with little room to spare. At 16-bit it needs two GPUs or more.
No. The machine is rented to one account and the full GPU is passed straight through to your operating system. There is no hypervisor and no vGPU profile, and you install the NVIDIA driver and CUDA version you want.
About 30 minutes after your order is approved when a machine with the GPU is already racked. When we fit a GPU we hold, 4 to 24 hours; one we buy in takes 5 to 10 working days. You are told which before you pay.
In New York, Miami, San Francisco and Bucharest, in our own racks on our own network. Bucharest builds are billed in euros. The GPU is not offered on Amsterdam machines.
Pick the machine, the memory, the disks and the city. The configurator prices every change as you make it, with the GPU already selected.
Every GPU we fit · A100 and H100 servers · L40S servers · RTX 5090 servers · Racked right now