Blackwell Architecture96GB GDDR7 ECC

NVIDIA RTX 6000 Pro Blackwell

Coming Soon

NVIDIA's professional Blackwell GPU. 96GB GDDR7 with ECC memory, 5th-gen Tensor Cores with FP4 support. Designed for AI workstations and cloud deployment with professional driver support.

View Available GPUs
Coming soon·Not yet available on JarvisLabs
Trusted worldwide

Powering teams that push boundaries

27,000+AI developers
50M+GPU hours served
99.9%Uptime SLA
<90sInstance launch

Trusted by companies including: Tesla, Hugging Face, Kaggle, Zoho, Weights & Biases, upGrad, Saama

Why RTX 6000 Pro Blackwell

Professional Blackwell for AI workstations

The RTX 6000 Pro Blackwell brings next-gen Blackwell architecture to the professional workstation market with 96GB ECC memory.

96GB GDDR7 with ECC

Professional-grade memory with error correction. Double the RTX 6000 Ada's 48GB. Run large models reliably.

5th-Gen Tensor Cores

FP4 native support for efficient inference. Significant upgrade from the RTX 6000 Ada's 4th-gen cores.

Professional Drivers & Support

ISV-certified drivers, long-term stability, enterprise support. Critical for production deployment.

Blackwell Architecture

Next-generation performance improvements across training and inference. Built for professional AI workloads.

Specs

Key specs at a glance

96 GB
VRAM
GDDR7 ECC
~1,800+ GB/s
Memory Bandwidth
GDDR7 (estimated)
5th Gen
Tensor Cores
FP4 / FP8 / FP16 / BF16
~350-400W
TDP
Professional workstation
Available Now

Available today on JarvisLabs

While RTX 6000 Pro Blackwell is coming soon, these professional GPUs are available right now with per-minute billing.

Use Cases

What the RTX 6000 Pro Blackwell is built for

From professional AI development to large-scale model inference.

Professional AI Development

ISV-certified for enterprise AI frameworks. Stable drivers for production workloads. ECC memory prevents silent data corruption.

TensorFlowPyTorchONNX RuntimeTensorRT

Large Model Inference

96GB fits 70B models in FP8 comfortably. Professional reliability for customer-facing inference.

vLLMTGITritonTensorRT-LLM

AI Workstation

Desktop form factor with professional cooling. Runs 24/7 without datacenter infrastructure.

CUDA 12+cuDNNNCCLProfessional Drivers

Model Training & Fine-Tuning

96GB enables LoRA/QLoRA for up to 70B models. Full fine-tuning for 13B-34B models.

LLaMA 3 70BMixtral 8x7BFalcon 40BCodeLlama 34B
Full Specs

Technical specifications

Hardware specifications for the NVIDIA RTX 6000 Pro Blackwell. Some specs are estimated based on NVIDIA's Blackwell professional lineup announcements.

Architecture
NVIDIA Blackwell
Next-gen professional GPU
CUDA Cores
~18,000+ (estimated)
Blackwell professional tier
Tensor Cores
5th gen
FP4 / FP8 / FP16 / BF16 / INT8
RT Cores
4th gen
Real-time ray tracing
VRAM
96 GB GDDR7 (ECC)
Professional-grade with error correction
Memory Bandwidth
~1,800-2,000 GB/s (estimated)
GDDR7 high-bandwidth
FP4 Support
Yes (native)
Efficient quantized inference
NVLink
NVLink C2C
2-GPU configurations
PCIe
Gen5 x16 (expected)
Host data transfer
TDP
~350-400W (estimated)
Professional workstation cooling
Form Factor
Dual-slot PCIe
Desktop workstation compatible
Manufacturing
TSMC 4NP
Advanced process node
ECC Memory
Yes
Data integrity for production workloads
Driver Support
ISV-certified professional
Enterprise stability & support

RTX 6000 Pro Blackwell is NVIDIA's next-generation professional GPU. JarvisLabs currently offers the RTX 6000 Ada at $0.99/hr with per-minute billing. Sign up to be notified when RTX 6000 Pro Blackwell becomes available.

27,343+
AI developers trust Jarvislabs
50M+
GPU hours served
99.9%
Uptime SLA
FAQ

Frequently asked questions

Everything you need to know about the NVIDIA RTX 6000 Pro Blackwell and availability on JarvisLabs.

We plan to add RTX 6000 Pro Blackwell instances when available. The RTX 6000 Ada ($0.99/hr) is available today with per-minute billing.

Get notified when RTX 6000 Pro Blackwell launches

96GB GDDR7 ECC. 5th-gen Tensor Cores. Blackwell architecture. Professional drivers.

View Available GPUs