BLACKWELL ARCHITECTURE NEW

NVIDIA
B300
BLACKWELL GPU

The next generation of AI compute. 192GB HBM3e, 4,500 TFLOPS FP8, 8.0 TB/s memory bandwidth — 2× the VRAM and 4.5× the FP8 throughput of H100.

Deploy B300 Now → Get Enterprise Quote
Starting From
$6.71
CAD / HR / GPU
≈ $4.90 USD at current rates
192GB HBM3e — largest in class
No contracts or minimums
Hourly billing in CAD
Deploy in under 60 seconds
99.9% uptime SLA
H100 SXM · $3.14 H200 SXM · $4.10 B300 · $6.71 GB300 NVL72 · $409
// Generation Leap

B300 VS H100
THE UPGRADE

NVIDIA B300 (BLACKWELL)
192GB
HBM3e VRAM · 2.4× more than H100
4,500
TFLOPS FP8 · 2.3× faster than H100
8.0
TB/s Memory Bandwidth · 2.4× H100
NVIDIA H100 (HOPPER)
80GB
HBM3 VRAM
1,979
TFLOPS FP8
3.35
TB/s Memory Bandwidth
// Technical Specifications

B300
FULL SPECS

SPECIFICATIONB300 BLACKWELL
ArchitectureNVIDIA Blackwell
GPU Memory192 GB HBM3e
Memory Bandwidth8.0 TB/s
FP8 Performance4,500 TFLOPS
FP16 / BF16 Performance2,250 TFLOPS
FP4 Performance9,000 TFLOPS
NVLink Bandwidth1,800 GB/s
TDP (Power)1,000W
Transformer EngineYes — 4th Gen
Second-Gen SparsityYes
SScoreCompute Price$6.71 CAD/hr
Cloud PlatformAWS + Azure
// Ideal Workloads

WHAT THE B300
UNLOCKS

🧠
FRONTIER MODEL INFERENCE
Run 405B+ parameter models that don't fit on H100 or H200. 192GB VRAM enables full-precision inference on the largest open-source models.
⚡
HIGH-THROUGHPUT SERVING
4,500 TFLOPS FP8 delivers more than double the inference throughput of H100 for production LLM serving at scale.
🔬
RESEARCH & PRETRAINING
Train larger models faster with 4th-gen Transformer Engine and second-gen sparsity support. Ideal for teams pushing model capability boundaries.
🤖
AGENTIC AI AT SCALE
Run multiple large models simultaneously for complex multi-agent pipelines. 192GB VRAM + 1,800 GB/s NVLink enables agent orchestration at scale.
🎬
VIDEO & MULTIMODAL AI
Generate and process high-resolution video, large multimodal models, and scientific simulation workloads that demand maximum VRAM and bandwidth.
💊
SCIENTIFIC COMPUTING
Drug discovery, protein folding, genomics, and climate modelling — workloads that require sustained high-precision floating point at massive scale.
// Performance

B300 BENCHMARK
RESULTS

LLM Inference — Output Tokens / Second (LLaMA-3 70B)
B300 (FP8)
Best
3,840tok/s
H200 (FP8)
H200
2,200tok/s
H100 (FP8)
H100
1,680tok/s
Time to First Token (TTFT) — Lower is Better
B300
Best
17ms
H100
Baseline
42ms

READY TO DEPLOY
B300 BLACKWELL?

The most powerful per-GPU compute available on SScoreCompute. CAD pricing, no contracts, live in 60 seconds.

Deploy B300 Now → Get Enterprise Pricing